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1

Research Cloud Computing Recommendations  

E-Print Network [OSTI]

Research Cloud Computing Recommendations SRCPAC December 3, 2014 #12;Mandate and Membership SRCPAC convened this committee in Sept 2014 to investigate the role that cloud computing should play in our & Academic Affairs (Social Work) #12;Questions discussed · What cloud resources are available? · Which kinds

Qian, Ning

2

A Study to Investigate Cloud Feedback Processes and Evaluate GCM Cloud Variations Using Statistical Cloud Property Composites From ARM Data  

SciTech Connect (OSTI)

The representation of clouds in Global Climate Models (GCMs) remains a major source of uncertainty in climate change simulations. Cloud climatologies have been widely used to either evaluate climate model cloud fields or examine, in combination with other data sets, climate-scale relationships between cloud properties and dynamical or microphysical parameters. Major cloud climatologies have been based either on satellite observations of cloud properties or on surface observers views of cloud type and amount. Such data sets provide either the top-down view of column-integrated cloud properties (satellites) or the bottom-up view of the cloud field morphology (surface observers). Both satellite-based and surface cloud climatologies have been successfully used to examine cloud properties, to support process studies, and to evaluate climate and weather models. However, they also present certain limitations, since the satellite cloud types are defined using radiative cloud boundaries and surface observations are based on cloud boundaries visible to human observers. As a result, these data sets do not resolve the vertical distribution of cloud layers, an issue that is important in calculating both the radiative and the hydrologic effects of the cloud field. Ground-based cloud radar observations, on the other hand, resolve with good accuracy the vertical distribution of cloud layers and could be used to produce cloud type climatologies with vertical layering information. However, these observations provide point measurements only and it is not immediately clear to what extent they are representative of larger regimes. There are different methods that can be applied to minimize this problem and to produce cloud layering climatologies useful for both cloud process and model evaluation studies. If a radar system is run continuously over a number of years, it eventually samples a large number of dynamical and microphysical regimes. If additional data sets are used to put the cloud layering information into the context of large-scale dynamical regimes, such information can be used to study interactions among cloud vertical distributions and dynamical and microphysical processes and to evaluate the ability of models to simulate those interactions. The U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) program has established several Climate Research Facilities (ACRF) that provide continuous, long-term observations of clouds and radiation. ARM, with its overall goal of improving the treatment of radiation and clouds in climate models has provided unique observing systems for accelerating progress on the representation of cloud processes. In this project, six and a half years (January 1998 to June 2004) of cloud observations collected at the Southern Great Plains (SGP) Oklahoma ACRF were used to produce a cloud-type climatology. The climatology provides cloud amounts for seven different cloud types as well as information on the detailed structure of multi-layer cloud occurrences. Furthermore, the European Centre for Medium-Range Weather Forecasts (ECMWF) model output was used to define the dynamic regimes present during the observations of the cloud conditions by the vertically pointing radars at the SGP ACRF. The cloud-type climatology and the ECMWF SGP data set were then analyzed to examine and map dynamical conditions that favor the creation of single-layer versus multi-layer cloud structures as well as dynamical conditions that favor the occurrence of drizzle in continental stratus clouds. In addition, output from the ECMWF weather model forecasts was analyzed with the objective to compare model and radar derived cloud type statistics, in order to identify the major model deficiencies in cloud vertical distribution and map their seasonal variations. The project included two primary goals. The first was to create a cloud type climatology over the Southern Great Planes site that will show how cloud vertical distribution varies with dynamic and thermodynamic regime and how these variations would affect cloud climate fe

George Tselioudis

2009-08-11T23:59:59.000Z

3

IBM research division cloud computing initiative  

Science Journals Connector (OSTI)

Cloud computing represents the latest phase in the evolution of Internet-based computing. In this paper, we describe the fundamental building blocks of cloud computing and the initiative undertaken by the IBM Research Division in this area, which includes ...

M. Naghshineh; R. Ratnaparkhi; D. Dillenberger; J. R. Doran; C. Dorai; L. Anderson; G. Pacifici; J. L. Snowdon; A. Azagury; M. VanderWiele; Y. Wolfsthal

2009-07-01T23:59:59.000Z

4

Cloud Properties and Precipitation Formation Processes Observed  

E-Print Network [OSTI]

of spring time precipitation that develops in the Riyadh, Saudi Arabia region. · What are the cloud properties for developing cloud in the Riyadh, Saudi Arabia region. Research Objective #12;#12;Quality is based on calibration conducted by Kelly bosch and Dennis Afseth at Weather Modification Inc. (WMI) on 22

Delene, David J.

5

DOE Research and Development Accomplishments Tag Cloud  

Office of Scientific and Technical Information (OSTI)

Database Tag Cloud Database Tag Cloud This tag cloud is a specific type of weighted list that provides a quick look at the content of the DOE R&D Accomplishments database. It can be easily browsed because terms are in alphabetical order. With this tag cloud, there is a direct correlation between font size and quantity. The more times a term appears in the bibliographic citations, the larger the font size. This tag cloud is also interactive. Clicking on a term will activate a search for that term. Search results will then be received. absorption Accelerator Accelerators Acid Acids AEC air Alpha Analysis Angular Applications Applied Argonne Aspects atmospheric Atom Atomic atoms Background Basic Batteries Beam Beams Beta Biological Biology BNL Brookhaven Calculations Calvin Capture carbon Cells CH Change changes Chemical Chemistry CHLORINE climate Coal Collisions complex Complexes Compounds computed Computerized conditions Conservation Conversion Cosmic Cosmology Cross Crystal current cycle data Decay density design Detection detectors development Devices Diagnostic Diffraction Dioxide Discovery distribution DNA Effect Effects Efficiency Electric electricity Electromagnetic Electron Electrons Element elementary elements Emission Energy Environmental Equations even Exchange Experiment Experimental experiments Fermi field fields First Fission Fossil Free fuel fuels Fusion Future Gamma Gas Genome global greenhouse group Hadron Health heat Heating heavy high Historical history Human Hydrocarbons Hydrogen Imaging impacts important Information Institute Interaction Interactions International Invariance ion Ions Isotope Isotopes Kinetics large laser Lawrence LBL LBNL lepton level light Linear Lithium Livermore living LLNL long low Magnetic Mass material Materials mathematics Matter Measurement measurements Mechanics mechanism medical Medicine Mesons Metabolism Method methods Model Models Molecular Molecules momentum mu Nambu Neutral Neutrino Neutrinos Neutron neutrons Nuclear Nuclei Nucleon Odd Organic ORNL Oxides oxygen Particle Particles path PET Photosynthesis physical Physics pi Plants Plasma Plutonium Policy Polymers Positron Power problem processes production program Programs progress Properties Proton Protons Quantum Quark Radiation Radioactive Radioisotopes range Ratio ray Reaction Reactions Reactor Reactors Renewable report Research resolution Resonance results Review RTG scattering science Sciences scientific Seaborg Separation Solar Source Sources Space Spectra Spectroscopy spectrum Spin Stability state States storage Strong Structure Studies study supernovae symmetry Symposium Synthesis system Systems Tau technical Techniques technologies Technology Teller Temperature theoretical Theories Theory Therapy Thermal Thermoelectric Thin Time Tomography Top Tracer Transfer Transport type types Upton Uranium uses Velocity Water Weak Wigner yields

6

Argonne's Magellan Cloud Computing Research Project  

ScienceCinema (OSTI)

Pete Beckman, head of Argonne's Leadership Computing Facility (ALCF), discusses the Department of Energy's new $32-million Magellan project, which designed to test how cloud computing can be used for scientific research. More information: http://www.anl.gov/Media_Center/News/2009/news091014a.html

Beckman, Pete

2013-04-19T23:59:59.000Z

7

Use of the ARM Measurements of Spectral Zenith Radiance for Better Understanding of 3D Cloud-Radiation Processes & Aerosol-Cloud Interaction  

SciTech Connect (OSTI)

This project focuses on cloud-radiation processes in a general three-dimensional cloud situation, with particular emphasis on cloud optical depth and effective particle size. The proposal has two main parts. Part one exploits the large number of new wavelengths offered by the Atmospheric Radiation Measurement (ARM) zenith-pointing ShortWave Spectrometer (SWS), to develop better retrievals not only of cloud optical depth but also of cloud particle size. We also take advantage of the SWS high sampling resolution to study the twilight zone around clouds where strong aerosol-cloud interactions are taking place. Part two involves continuing our cloud optical depth and cloud fraction retrieval research with ARMs 2-channel narrow vield-of-view radiometer and sunphotometer instrument by, first, analyzing its data from the ARM Mobile Facility deployments, and second, making our algorithms part of ARMs operational data processing.

Chiu, Jui-Yuan Christine [University of Reading] [University of Reading

2014-04-10T23:59:59.000Z

8

Cloud computing opens up research to the world  

E-Print Network [OSTI]

. Cloud computing solutions utilizing Windows Azure allow researchers to access the compute and storage access to scientists and researchers everywhere. Harnessing the power of Windows Azure for research discovering platform. It derives its power #12;from cloud computing with Windows Azure. With this new system

Rajamani, Sriram K.

9

Use of the ARM Measurement of Spectral Zenith Radiance For Better Understanding Of 3D Cloud-Radiation Processes and Aerosol-Cloud Interaction  

SciTech Connect (OSTI)

Our proposal focuses on cloud-radiation processes in a general 3D cloud situation, with particular emphasis on cloud optical depth and effective particle size. We also focus on zenith radiance measurements, both active and passive. The proposal has three main parts. Part One exploits the ?¢????solar-background?¢??? mode of ARM lidars to allow them to retrieve cloud optical depth not just for thin clouds but for all clouds. This also enables the study of aerosol cloud interactions with a single instrument. Part Two exploits the large number of new wavelengths offered by ARM?¢????s zenith-pointing ShortWave Spectrometer (SWS), especially during CLASIC, to develop better retrievals not only of cloud optical depth but also of cloud particle size. We also propose to take advantage of the SWS?¢???? 1 Hz sampling to study the ?¢????twilight zone?¢??? around clouds where strong aerosol-cloud interactions are taking place. Part Three involves continuing our cloud optical depth and cloud fraction retrieval research with ARM?¢????s 2NFOV instrument by, first, analyzing its data from the AMF-COPS/CLOWD deployment, and second, making our algorithms part of ARM?¢????s operational data processing.

D. Jui-Yuan Chiu

2010-10-19T23:59:59.000Z

10

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cotton-Ball Clouds Contained Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life...

11

Cloud Computing Titel: Cloud-based Parallel Computing for Unstructured Information Processing Reference  

E-Print Network [OSTI]

Nowadays, the increasing amount of collaboratively created content is hardly accessible for analysis with traditional technology because it is normally unstructured information. At the same time such content becomes more and more business relevant because it is heavily used in daily work processes and business decision making.The ability to link documents with weakly structured and structured information allows a new generation of sensemaking algorithms to extract meaning from a nearly unmanageable amount of data.For this reason, SAP Research is working towards an internal project to extract meaning from unstructured data using semantic technologies. Because of the huge amount of source data, the motivation of this thesis is to accelerate the unstructured information processing by using the cloud-based technologies. In additional, the SLA (Service Level Agreement) will also be introduced to fulfill the potential business requirements.

Masterthesis Tong Lin; Aufgabensteller Prof; Dr. Florian Matthes; Bearbeiter Tong Lin; Sascha Roth

2010-01-01T23:59:59.000Z

12

SECURING PROCESSES FOR OUTSOURCING INTO THE CLOUD  

E-Print Network [OSTI]

-sized enterprises (SMEs) to securely utilize cloud computing technology and thus gaining eco- nomic advantages. Our computing is yet one of the leading developments and depicts the biggest progress in web technologies is currently one of the most rapid growing trends and represents the technological de- velopment on the web

Jurjens, Jan

13

Exploring parameterization for turbulent entrainmentmixing processes in clouds  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Exploring Exploring parameterization for turbulent entrainment-mixing processes in clouds Chunsong Lu, 1,2 Yangang Liu, 2 Shengjie Niu, 1 Steven Krueger, 3 and Timothy Wagner 4 Received 11 July 2012; revised 29 November 2012; accepted 5 December 2012; published 16 January 2013. [1] Different turbulent entrainment-mixing processes (e.g., homogeneous and inhomogeneous) occur in clouds; accurate representation of these processes is critical for improving cloud-related parameterizations in large-scale models, but poorly understood and quantified. Using in situ aircraft observations over the U. S. Department of Energy's Atmospheric Radiation Measurement Southern Great Plains site during the March 2000 Cloud Intensive Observation Period and numerical simulations with the Explicit Mixing Parcel Model (EMPM), here we explore the potential of using degree of homogeneous mixing

14

Representing Cloud Processing of Aerosol in Numerical Models  

SciTech Connect (OSTI)

The satellite imagery in Figure 1 provides dramatic examples of how aerosol influences the cloud field. Aerosol from ship exhaust can serve as nucleation centers in otherwise cloud-free regions, forming ship tracks (top image), or can enhance the reflectance/albedo in already cloudy regions. This image is a demonstration of the first indirect effect, in which changes in aerosol modulate cloud droplet radius and concentration, which influences albedo. It is thought that, through the effects it has on precipitation (drizzle), aerosol can also affect the structure and persistence of planetary boundary layer (PBL) clouds. Regions of cellular convection, or open pockets of cloudiness (bottom image) are thought to be remnants of strongly drizzling PBL clouds. Pockets of Open Cloudiness (POCs) (Stevens et al. 2005) or Albrecht's ''rifts'' are low cloud fraction regions characterized by anomalously low aerosol concentrations, implying they result from precipitation. These features may in fact be a demonstration of the second indirect effect. To accurately represent these clouds in numerical models, we have to treat the coupled cloud-aerosol system. We present the following series of mesoscale and large eddy simulation (LES) experiments to evaluate the important aspects of treating the coupled cloud-aerosol problem. 1. Drizzling and nondrizzling simulations demonstrate the effect of drizzle on a mesoscale forecast off the California coast. 2. LES experiments with explicit (bin) microphysics gauge the relative importance of the shape of the aerosol spectrum on the 3D dynamics and cloud structure. 3. Idealized mesoscale model simulations evaluate the relative roles of various processes, sources, and sinks.

Mechem, D.B.; Kogan, Y.L.

2005-03-18T23:59:59.000Z

15

Cloud computing in e-Science: research challenges and opportunities  

Science Journals Connector (OSTI)

Service-oriented architecture (SOA), workflow, the Semantic Web, and Grid computing are key enabling information technologies in the development of increasingly sophisticated e-Science infrastructures and application platforms. While the emergence of ... Keywords: Big data, Cloud computing, Digital research, Grid computing, Informatics, Semantic web, Workflow, e-Research, e-Science

Xiaoyu Yang, David Wallom, Simon Waddington, Jianwu Wang, Arif Shaon, Brian Matthews, Michael Wilson, Yike Guo, Li Guo, Jon D. Blower, Athanasios V. Vasilakos, Kecheng Liu, Philip Kershaw

2014-10-01T23:59:59.000Z

16

The Cloud Project Climate Research with Accelerators  

E-Print Network [OSTI]

The current understanding of climate change in the in- dustrial age is that it is predominantly caused by anthro- pogenic greenhouse gases, with relatively small natural contributions due to solar irradiance and volcanoes. How- ever, palaeoclimatic reconstructions show that the climate has frequently varied on 100-year time scales during the Holocene (last 10 kyr) by amounts comparable to the present warmingand yet the mechanism is not under- stood. Estimated changes of solar irradiance on these time scales are too small to account for the climate observations. This raises the question of whether cosmic rays, which are modulated by the solar wind, may be directly affect- ing the climate, providing an effective indirect solar forcing mechanism. Indeed recent satellite observationsalthough disputedsuggest that cosmic rays may affect clouds un- der certain conditions. However, given the many sources of variability in the atmosphere and the lack of control of the cosmic ray flux, demonstrating overall ca...

Kirkby, Jasper

2010-01-01T23:59:59.000Z

17

Use of the ARM Measurements of Spectral Zenith Radiance for Better Understanding of 3D Cloud-Radiation Processes & Aerosol-Cloud Interaction  

SciTech Connect (OSTI)

We proposed a variety of tasks centered on the following question: what can we learn about 3D cloud-radiation processes and aerosol-cloud interaction from rapid-sampling ARM measurements of spectral zenith radiance? These ARM measurements offer spectacular new and largely unexploited capabilities in both the temporal and spectral domains. Unlike most other ARM instruments, which average over many seconds or take samples many seconds apart, the new spectral zenith radiance measurements are fast enough to resolve natural time scales of cloud change and cloud boundaries as well as the transition zone between cloudy and clear areas. In the case of the shortwave spectrometer, the measurements offer high time resolution and high spectral resolution, allowing new discovery-oriented science which we intend to pursue vigorously. Research objectives are, for convenience, grouped under three themes: ? Understand radiative signature of the transition zone between cloud-free and cloudy areas using data from ARM shortwave radiometers, which has major climatic consequences in both aerosol direct and indirect effect studies. ? Provide cloud property retrievals from the ARM sites and the ARM Mobile Facility for studies of aerosol-cloud interactions. ? Assess impact of 3D cloud structures on aerosol properties using passive and active remote sensing techniques from both ARM and satellite measurements.

Alexander Marshak; Warren Wiscombe; Yuri Knyazikhin; Christine Chiu

2011-05-24T23:59:59.000Z

18

Cloud Occurrence Frequency at the Barrow, Alaska, ARM Climate Research Facility for 2008 Third Quarter 2009 ARM and Climate Change Prediction Program Metric Report  

SciTech Connect (OSTI)

Clouds represent a critical component of the Earths atmospheric energy balance as a result of their interactions with solar and terrestrial radiation and a redistribution of heat through convective processes and latent heating. Despite their importance, clouds and the processes that control their development, evolution and lifecycle remain poorly understood. Consequently, the simulation of clouds and their associated feedbacks is a primary source of inter-model differences in equilibrium climate sensitivity. An important step in improving the representation of cloud process simulations is an improved high-resolution observational data set of the cloud systems including their time evolution. The first order quantity needed to understand the important role of clouds is the height of cloud occurrence and how it changes as a function of time. To this end, the Atmospheric Radiation Measurement (ARM) Climate Research Facilities (ACRF) suite of instrumentation has been developed to make the observations required to improve the representation of cloud systems in atmospheric models.

M Jensen; K Johnson; JH Mather

2009-07-14T23:59:59.000Z

19

Nasa's Tropical Cloud Systems and Processes Experiment  

Science Journals Connector (OSTI)

In July 2005, the National Aeronautics and Space Administration investigated tropical cyclogenesis, hurricane structure, and intensity change in the eastern North Pacific and western Atlantic using its ER-2 high-altitude research aircraft. The ...

J. Halverson; M. Black; R. Rogers; S. Braun; G. Heymsfield; D. Cecil; M. Goodman; R. Hood; A. Heymsfield; T. Krishnamurti; G. McFarquhar; M. J. Mahoney; J. Molinari; J. Turk; C. Velden; D-L. Zhang; E. Zipser; R. Kakar

2007-06-01T23:59:59.000Z

20

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

MBL Cloud Properties Derived from the Azores-AMF Observations Submitter: Dong, X., University of North Dakota Area of Research: Cloud Processes Working Group(s):...

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

CLOUD GAMING ONWARD: RESEARCH OPPORTUNITIES AND OUTLOOK Kuan-Ta Chen1  

E-Print Network [OSTI]

CLOUD GAMING ONWARD: RESEARCH OPPORTUNITIES AND OUTLOOK Kuan-Ta Chen1 , Chun-Ying Huang2 ABSTRACT Cloud gaming has become increasingly more popular in the academia and the industry, evident by the large numbers of related research papers and startup companies. Some pub- lic cloud gaming services have

Chen, Sheng-Wei

22

AstroCloud, a Cyber-Infrastructure for Astronomy Research: Architecture  

E-Print Network [OSTI]

AstroCloud is a cyber-Infrastructure for Astronomy Research initiated by Chinese Virtual Observatory (China-VO) under funding support from NDRC (National Development and Reform commission) and CAS (Chinese Academy of Sciences). The ultimate goal of this project is to provide a comprehensive end-to-end astronomy research environment where several independent systems seamlessly collaborate to support the full lifecycle of the modern observational astronomy based on big data, from proposal submission, to data archiving, data release, and to in-situ data analysis and processing. In this paper, the architecture and key designs of the AstroCloud platform are introduced, including data access middleware, access control and security framework, extendible proposal workflow, and system integration mechanism.

Xiao, Jian; Cui, Chenzhou; He, Boliang; Li, Changhua; Fan, Dongwei; Hong, Zhi; Yin, Shucheng; Wang, Chuanjun; Cao, Zihuang; Fan, Yufeng; Li, Shanshan; Mi, Linying; Wan, Wanghui; Wang, Jianguo; Zhang, Hailong

2014-01-01T23:59:59.000Z

23

Cloud-Based Air Traffic Management Announcement | GE Global Research  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Works to Bring Air Traffic Management Into "The Cloud" GE Works to Bring Air Traffic Management Into "The Cloud" A global leader in avionics and software development, the General...

24

Process-model Simulations of Cloud Albedo Enhancement by Aerosols in the Arctic  

SciTech Connect (OSTI)

A cloud-resolving model is used to simulate the effectiveness of Arctic marine cloud brightening via injection of cloud condensation nuclei (CCN). An updated cloud microphysical scheme is employed, with prognostic CCN and cloud particle numbers in both liquid and mixed-phase marine low clouds. Injection of CCN into the marine boundary layer can delay the collapse of the boundary layer and increase low-cloud albedo. Because nearly all of the albedo effects are in the liquid phase due to the removal of ice water by snowfall when ice processes are involved, albedo increases are stronger for pure liquid clouds than mixed-phase clouds. Liquid precipitation can be suppressed by CCN injection, whereas ice precipitation (snow) is affected less; thus the effectiveness of brightening mixed-phase clouds is lower than for liquid-only clouds. CCN injection into a clean regime results in a greater albedo increase than injection into a polluted regime, consistent with current knowledge about aerosol-cloud interactions. Unlike previous studies investigating warm clouds, dynamical changes in circulation due to precipitation changes are small.

Kravitz, Benjamin S.; Wang, Hailong; Rasch, Philip J.; Morrison, H.; Solomon, Amy

2014-11-17T23:59:59.000Z

25

How to Do/Evaluate Cloud Computing Research  

E-Print Network [OSTI]

­ Simulations · Only when you can WELL justify, e.g., energy efficiency with realistic data like Google clusterS (Software as a Service) · Salesforce.com · Deployment Models ­ Private cloud ­ Public cloud ­ Hybrid cloud, theoretical and computational science (simulation), The Fourth Paradigm: Data-Intensive Scientific Discovery

Hong,Seokhee

26

AstroCloud, a Cyber-Infrastructure for Astronomy Research: Data Archiving and Quality Control  

E-Print Network [OSTI]

AstroCloud is a cyber-Infrastructure for Astronomy Research initiated by Chinese Virtual Observatory (China-VO) under funding support from NDRC (National Development and Reform commission) and CAS (Chinese Academy of Sciences){\\url{http://astrocloud.china-vo.org}}\\citep{O8-5_Cui_adassxxiv}. To archive the astronomical data in China, we present the implementation of the astronomical data archiving system (ADAS). Data archiving and quality control are the infrastructure for the AstroCloud. Throughout the data of the entire life cycle, data archiving system standardized data, transferring data, logging observational data, archiving ambient data, And storing these data and metadata in database. Quality control covers the whole process and all aspects of data archiving.

He, Boliang; Fan, Dongwei; Li, Changhua; Xiao, Jian; Yu, Ce; Wang, Chuanjun; Cao, Zihuang; Chen, Junyi; Yi, Weimin; Li, Shanshan; Mi, Linying; Yang, Sisi

2014-01-01T23:59:59.000Z

27

TRACKING TROPICAL CLOUD SYSTEMS FOR THE DIAGNOSIS OF SIMULATIONS BY THE WEATHER RESEARCH AND  

E-Print Network [OSTI]

TRACKING TROPICAL CLOUD SYSTEMS FOR THE DIAGNOSIS OF SIMULATIONS BY THE WEATHER RESEARCH using a satellite cloud tracking algorithm (Boer and Ramanathan, J. Geophys. Res., 1997), and the statistics are compared to those of simulations using the Weather Research and Forecasting (WRF) Model. Using

28

Collaborative Research: The Influence of Cloud Microphysics and Radiation on the Response of Water Vapor and Clouds to Climate Change  

SciTech Connect (OSTI)

Uncertainties in representing the atmospheric water cycle are major obstacles to an accurate prediction of future climate. This project focused on addressing some of these uncertainties by implementing new physics for convection and radiation into the NCAR climate model. To better understand and eventually better represent these processes, we modified CAM3.5 to use the convection and cloud schemes developed by the Massachusetts Institute of Technology (MIT) and the RRTMG rapid radiation code for global models developed by Atmospheric and Environmental Research, Inc. (AER). The impact of the new physics on the CAM3.5 simulation of convection on diurnal and intra-seasonal scales, intra-seasonal oscillations and the distribution of water vapor has been investigated. The effect of the MIT and AER physics also has been tested in the Weather Research and Forecasting (WRF) regional forecast model. It has been found that the application of the AER radiation and MIT convection produces significant improvements in the modeled diurnal cycle of convection, especially over land, in the NCAR climate model. However, both the standard CAM3.5 (hereinafter STD) and the modified CAM3.5 with the new physics (hereinafter MOD) are still unable to capture the proper spectrum and propagating characteristics of the intra-seasonal oscillations (ISOs). The new physics methods modify, but do not substantially improve, the distribution of upper tropospheric water vapor relative to satellite measurements.

Dr. Kerry Emanuel; Michael J. Iacono

2011-06-28T23:59:59.000Z

29

Hospital Sterile Processing | GE Global Research  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Researches Use of Robots for Hospital Sterile Processing GE Researches Use of Robots for Hospital Sterile Processing GE principal investigator Lynn DeRose discusses the robotic...

30

Cloud Processes: Insights over a Decade into the Links between  

E-Print Network [OSTI]

Cloud Resolving Models Satellite and radar data Field Campaigns Radar Simulators (image: C. McGee) Grid Diffuse Sensible heat flux Latent heat flux Latent heat flux Aerosol direct effects Incoming solar radiation Direct Diffuse Sensible heat flux SiB RAMS CO2 Fluxes: Photosynthesis Respiration CO2 Radiative

Collett Jr., Jeffrey L.

31

Scanning ARM Cloud Radars Part II: Data Quality Control and Processing  

SciTech Connect (OSTI)

The Scanning ARM Cloud Radars (SACRs) are the primary instruments for documenting the four-dimensional structure and evolution of clouds within a 20-30 km radius from the ARM fixed and mobile sites. Here, the post-processing of the calibrated SACR measurements is discussed. First, a feature mask algorithm that objectively determines the presence of significant radar returns is described. The feature mask algorithm is based on the statistical properties of radar receiver noise. It accounts for atmospheric emission and is applicable even for SACR profiles with few or no signal-free range gates. Using the nearest-in-time atmospheric sounding, the SACR radar reflectivities are corrected for gaseous attenuation (water vapor and oxygen) using a line-by-line absorption model. Despite having a high pulse repetition frequency, the SACR has a narrow Nyquist velocity limit and thus Doppler velocity folding is commonly observed. An unfolding algorithm that makes use of a first guess for the true Doppler velocity using horizontal wind measurements from the nearest sounding is described. The retrieval of the horizontal wind profile from the Hemispherical Sky Range Height Indicator SACR scan observations and/or nearest sounding is described. The retrieved horizontal wind profile can be used to adaptively configure SACR scan strategies that depend on wind direction. Several remaining challenges are discussed, including the removal of insect and second-trip echoes. The described algorithms significantly enhance SACR data quality and constitute an important step towards the utilization of SACR measurements for cloud research.

Kollias, Pavlos; Jo, Ieng; Borque, Paloma; Tatarevic, Aleksandra; Lamer, Katia; Bharadwaj, Nitin; Widener, Kevin B.; Johnson, Karen; Clothiaux, Eugene E.

2014-03-01T23:59:59.000Z

32

ARRA-funded Cloud Radar Development for the Department of Energy's ARM Climate Research Facility  

E-Print Network [OSTI]

Measurement (ARM) Climate Research Facility, a DOE scientific user facility, for fundamental research, the DOE's Pacific Northwest National Laboratory recently funded ProSensing Inc. of Amherst, Mass. to build Flight Center to build a scanning cloud radar based on the DOE-funded design. We are also competing

33

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

a Modified Scheme for Shallow Convection with CuP Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working...

34

Secure process migration in cloud for load balancing and energy efficiency  

Science Journals Connector (OSTI)

Cloud computing is the latest trend in the world of computers. Virtualisation is the building block for cloud. In IAAS, cloud resources are allocated to the user in the form of virtual machines (VMs). VMs generally have lower resources and have a good chance of getting overloaded. Overload can happen in terms of CPU, memory or IO. All these three resources are divided among the different VMs running on a physical machine. So even if a physical machine is not overloaded, a VM running on it may get overloaded. Considering the nature of the loads, this paper proposes a load balancing solution on basis of CPU, memory and IO using process migration between the VMs of the cloud. The approach balances the load in such a way that the use of energy efficiency techniques like DVFS can be maximised. Due to the multi-tenant model of the cloud, a lot of new security issues have come up. Process migration also presents new security issues. This paper identifies such security issues and proposes solution to them. A proof of concept is provided which demonstrates the feasibility of the approach by proving that improved response times can be achieved even at lower energy consumptions.

Rahul Bhalerao; Madhur Bajpai; Avinash Jadhao; Shashikant Zalte; Jibi Abraham

2014-01-01T23:59:59.000Z

35

Study of Multi-Scale Cloud Processes Over the Tropical Western Pacific Using Cloud-Resolving Models Constrained by Satellite Data  

SciTech Connect (OSTI)

Clouds in the tropical western Pacific are an integral part of the large scale environment. An improved understanding of the multi-scale structure of clouds and their interactions with the environment is critical to the ARM (Atmospheric Radiation Measurement) program for developing and evaluating cloud parameterizations, understanding the consequences of model biases, and providing a context for interpreting the observational data collected over the ARM Tropical Western Pacific (TWP) sites. Three-dimensional cloud resolving models (CRMs) are powerful tools for developing and evaluating cloud parameterizations. However, a significant challenge in using CRMs in the TWP is that the region lacks conventional data, so large uncertainty exists in defining the large-scale environment for clouds. This project links several aspects of the ARM program, from measurements to providing improved analyses, and from cloud-resolving modeling to climate-scale modeling and parameterization development, with the overall objective to improve the representations of clouds in climate models and to simulate and quantify resolved cloud effects on the large-scale environment. Our objectives will be achieved through a series of tasks focusing on the use of the Weather Research and Forecasting (WRF) model and ARM data. Our approach includes: -- Perform assimilation of COSMIC GPS radio occultation and other satellites products using the WRF Ensemble Kalman Filter assimilation system to represent the tropical large-scale environment at 36 km grid resolution. This high-resolution analysis can be used by the community to derive forcing products for single-column models or cloud-resolving models. -- Perform cloud-resolving simulations using WRF and its nesting capabilities, driven by the improved regional analysis and evaluate the simulations against ARM datasets such as from TWP-ICE to optimize the microphysics parameters for this region. A cirrus study (Mace and co-authors) already exists for TWP-ICE using satellite and ground-based observations. -- Perform numerical experiments using WRF to investigate how convection over tropical islands in the Maritime Continent interacts with large-scale circulation and affects convection in nearby regions. -- Evaluate and apply WRF as a testbed for GCM cloud parameterizations, utilizing the ability of WRF to run on multiple scales (from cloud resolving to global) to isolate resolution and physics issues from dynamical and model framework issues. Key products will be disseminated to the ARM and larger community through distribution of data archives, including model outputs from the data assimilation products and cloud resolving simulations, and publications.

Dudhia, Jimy

2013-03-12T23:59:59.000Z

36

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Apparent Bluing of Aerosols Near Clouds The Apparent Bluing of Aerosols Near Clouds Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marshak, A, G Wen, JA Coakley, LA Remer, NG Loeb, and RF Cahalan. 2008. "A simple model of the cloud adjacency effect and the apparent bluing of aerosols near clouds." Journal of Geophysical Research 113, D14S17, doi: 10.1029/2007JD009196. (upper panel) A schematic two-layer model of a broken cloud field and Rayleigh scatterers. (lower panel) An example of the Poisson distribution of broken cloud fields with cloud fraction Ac = 0.3 for a 10 by 10 km area. For a cloud vertical thickness of 1 km, the left lower panel has cloud

37

Edinburgh Research Explorer Probabilistic Programming Process Algebra  

E-Print Network [OSTI]

Edinburgh Research Explorer Probabilistic Programming Process Algebra Citation for published version: Georgoulas, A, Hillston, J, Milios, D & Sanguinetti, G 2014, 'Probabilistic Programming Process.1007/978-3-319-10696-0_21 Link: Link to publication record in Edinburgh Research Explorer Document Version: Preprint (usually

Millar, Andrew J.

38

Research Unit on Biosphere -Aerosol -Cloud -Climate Interactions  

E-Print Network [OSTI]

-222. Seinfeld J., 1986: Atmospheric Chemistry and Physics of Air Pollution. Jonh Wiley and sons. New York, USA that dry deposition and surface exchange processes require a better description in atmospheric chemistry.R. and Lenschow D.H., 1983) in the modelling. Finlayson-Pitts B.J. and Pitts J.N., 1986: Atmospheric Chemistry

39

Automated catalyst processing for cloud electrode fabrication for fuel cells  

DOE Patents [OSTI]

A process for making dry carbon/polytetrafluoroethylene floc material, particularly useful in the manufacture of fuel cell electrodes, comprises of the steps of floccing a co-suspension of carbon particles and polytetrafluoroethylene particles, filtering excess liquids from the co-suspension, molding pellet shapes from the remaining wet floc solids without using significant pressure during the molding, drying the wet floc pellet shapes within the mold at temperatures no greater than about 150.degree. F., and removing the dry pellets from the mold.

Goller, Glen J. (West Springfield, MA); Breault, Richard D. (Coventry, CT)

1980-01-01T23:59:59.000Z

40

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Survey over West Africa Reveals Climate Impact of Mid-Level Clouds Cloud Survey over West Africa Reveals Climate Impact of Mid-Level Clouds Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Bouniol D, F Couvreux, PH Kamsu-Tamo, M Leplay, F Guichard, F Favot, and EJ O'Connor. 2012. "Diurnal and seasonal cycles of cloud occurrences, types, and radiative impact over West Africa." Journal of Applied Meteorology and Climatology, 51(3), doi:10.1175/JAMC-D-11-051.1. Clouds occurring at different levels in the sky have varying impacts on Earth's energy budget. Clouds with bases between five and seven kilometers above the Earth's surface, also known as mid-level clouds, occur over West Africa all year-round and may have major impacts on the Earth's energy budget,

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Evolution and Distribution of Water Vapor and Microphysical Properties The Evolution and Distribution of Water Vapor and Microphysical Properties in Cirrus Clouds Download a printable PDF Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Comstock JM, R Lin, DO Starr, and P Yang. 2008. "Understanding ice supersaturation, particle growth, and number concentration in cirrus clouds." Journal of Geophysical Research - Atmospheres, 113, D23211, doi:10.1029/2008JD010332. Vertical velocity (Vm) derived from millimeter cloud radar (MMCR) Doppler velocity measurements in cirrus clouds observed over the ACRF SGP site. Cloud model simulations of cirrus clouds using large-scale forcing (left panel) and cloud-scale forcing (right panel).

42

Cloud Services Cloud Services  

E-Print Network [OSTI]

Cloud Services Cloud Services In 2012 UCD IT Services launched an exciting new set of cloud solutions called CloudEdu, which includes cloud servers, cloud storage, cloud hosting and cloud network. The CloudEdu package includes a consultancy service in design, deployment, management and utilisation

43

Final Report for LDRD Project ''A New Era of Research in Aerosol/Cloud/Climate Interactions at LLNL''  

SciTech Connect (OSTI)

Observations of global temperature records seem to show less warming than predictions of global warming brought on by increasing concentrations of CO{sub 2} and other greenhouse gases. One of the reasonable explanations for this apparent inconsistency is that the increasing concentrations of anthropogenic aerosols may be partially counteracting the effects of greenhouse gases. Aerosols can scatter or absorb the solar radiation, directly change the planetary albedo. Aerosols, unlike CO{sub 2}, may also have a significant indirect effect by serving as cloud condensation nuclei (CCN). Increases in CCN can result in clouds with more but smaller droplets, enhancing the reflection of solar radiation. Aerosol direct and indirect effects are a strong function of the distributions of all aerosol types and the size distribution of the aerosol in question. However, the large spatial and temporal variabilities in the concentration, chemical characteristics, and size distribution of aerosols have made it difficult to assess the magnitude of aerosol effects on atmospheric radiation. These variabilities in aerosol characteristics as well as their effects on clouds are the leading sources of uncertainty in predicting future climate variation. Inventory studies have shown that the present-day anthropogenic emissions contribute more than half of fine particle mass primarily due to sulfate and carbonaceous aerosols derived from fossil fuel combustion and biomass burning. Parts of our earlier studies have been focused on developing an understanding of global sulfate and carbonaceous aerosol abundances and investigating their climate effects [Chuang et al., 1997; Penner et al., 1998]. We have also modeled aerosol optical properties to account for changes in the refractive indices with relative humidity and dry aerosol composition [Grant et al., 1999]. Moreover, we have developed parameterizations of cloud response to aerosol abundance for use in global models to evaluate the importance of aerosol/cloud interactions on climate forcing [Chuang and Penner, 1995]. Our research has been recognized as one of a few studies attempting to quantify the effects of anthropogenic aerosols on climate in the IPCC Third Assessment Report [IPCC, 2001]. Our previous assessments of aerosol climate effects were based on a general circulation model (NCAR CCM1) fully coupled to a global tropospheric chemistry model (GRANTOUR). Both models, however, were developed more than a decade ago. The lack of advanced physics representation and techniques in our current models limits us from further exploring the interrelationship between aerosol, cloud, and climate variation. Our objective is to move to a new era of aerosol/cloud/climate modeling at LLNL by coupling the most advanced chemistry and climate models and by incorporating an aerosol microphysics module. This modeling capability will enable us to identify and analyze the responsible processes in aerosol/cloud/climate interactions and therefore, to improve the level of scientific understanding for aerosol climate effects. This state-of-the-art coupled models will also be used to address the relative importance of anthropogenic and natural emissions in the spatial pattern of aerosol climate forcing in order to assess the potential of human induced climate change.

Chuang, C; Bergman, D J; Dignon, J E; Connell, P S

2002-01-31T23:59:59.000Z

44

Tracking tropical cloud systems for the diagnosis of simulations by the weather research and forecasting (WRF) model  

SciTech Connect (OSTI)

To aid in improving model parameterizations of clouds and convection, we examine the capability of models, using explicit convection, to simulate the life cycle of tropical cloud systems in the tropical warm pool. The cloud life cycle is determined using a satellite cloud tracking algorithm (Boer and Ramanathan, J. Geophys. Res., 1997), and the statistics are compared to those of simulations using the Weather Research and Forecasting (WRF) Model. Using New York Blue, a Blue Gene/L supercomputer that is co-operated by Brookhaven and Stony Brook, simulations are run at a resolution comparable to the observations. Initial results suggest that the organization of the mesoscale convective systems is particularly sensitive to the cloud microphysics parameterization used.

Vogelmann, A.M.; Lin, W.; Cialella, A.; Luke, E. P.; Jensen, M. P.; Zhang, M. H.; Boer, E.

2010-06-27T23:59:59.000Z

45

Other Locales Gulf Stream Locale -A Field Laboratory for Cloud Process  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Gulf Stream Locale -A Field Gulf Stream Locale -A Field Laboratory for Cloud Process S. Raman Department of Marine, Earth and Atmospheric Sciences North Carolina State University Raleigh, NC 27695-8028 Clouds associated with the Gulf Stream Locale, (Figure 1) are in general due to the cyclogenesis or redevelopments of the storms off the east coast of the United States in winters, movement along the coast of the storms that are generated over the Gulf of Mexico in the spring and fall and mesoscale convective circulations present in all seasons. During the summer and early fall ,this region is also susceptible to hurricanes moving from the south. There have been several attempts to reproduce some of the observed synoptic and mesoscale features of these sys- tems (e.g., Krei1zberg and Perkey 1977; Holt et al. 1990;

46

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Critical Role of Cloud Drop Effective Radius >14 Micron Radius in Rain Critical Role of Cloud Drop Effective Radius >14 Micron Radius in Rain Initiation Download a printable PDF Submitter: Rosenfeld, D., The Hebrew University of Jerusalem Wang, H., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Rosenfeld D, H Wang, and PJ Rasch. 2012. "The roles of cloud drop effective radius and LWP in determining rain properties in marine stratocumulus." Journal of Geophysical Research - Atmospheres, 39, doi:10.1029/2012GL052028. The dependence of rain rate on cloud drop effective radius (re) near cloud top. The color scale is for the median value of column maximum rain rate in each joint bin of CWP-re (cloud liquid water path and cloud-top re).

47

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 99, NO. D7, PAGES 14,353-14,360, JULY 20, 1994 Microsecond-scale electric field pulses in cloud lightning  

E-Print Network [OSTI]

the microsecond-scale structure of the cloud-flash field. Recently, the University of Florida lightning research-scale electric field pulses in cloud lightning discharges Y. Villanueva, V. A. Rakov, and M. A. Uman Department with a 500-ns sampling interval, microsecond-scale pulses in different stages of cloud flashes in Florida

Florida, University of

48

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Clouds Brighten Up the Sky Near Them Clouds Brighten Up the Sky Near Them Download a printable PDF Submitter: Varnai, T., University of Maryland, Baltimore County/JCEST Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Varnai T and A Marshak. 2009. "MODIS observations of enhanced clear sky reflectance near clouds." Geophysical Research Letters, 36, L06807, doi:10.1029/2008GL037089. Figure 1. Illustration of clouds enhancing the brightness of sky in nearby clear areas. In cloud-free areas light is scattered mainly by air molecules, but aerosols also contribute. Figure 2. Top: Average increase in MODIS clear-sky reflectivity (R) near clouds. The difference between areas near illuminated and shadowy cloud

49

Tracking tropical cloud systems - Observations for the diagnosis of simulations by the Weather Research and Forecasting (WRF) Model  

SciTech Connect (OSTI)

To aid in improving model parameterizations of clouds and convection, we examine the capability of models, using explicit convection, to simulate the life cycle of tropical cloud systems in the vicinity of the ARM Tropical Western Pacific sites. The cloud life cycle is determined using a satellite cloud tracking algorithm (Boer and Ramanathan, 1997), and the statistics are compared to those of simulations using the Weather Research and Forecasting (WRF) Model. Using New York Blue, a Blue Gene/L supercomputer that is co-operated by Brookhaven and Stony Brook, simulations are run at a resolution comparable to the observations. Initial results suggest a computational paradox where, even though the size of the simulated systems are about half of that observed, their longevities are still similar. The explanation for this seeming incongruity will be explored.

Vogelmann, A.M.; Lin, W.; Cialella, A.; Luke, E.; Jensen, M.; Zhang, M.

2010-03-15T23:59:59.000Z

50

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network [OSTI]

Cloud Controlling Factors -- Low Clouds BJORN STEVENS, Department of Atmospheric and Oceanic) clouds is reviewed, with an emphasis on factors that may be expected to change in a changing climate of low-cloud control- ling processes are offered: these include renewing our focus on theory, model

Stevens, Bjorn

51

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network [OSTI]

Cloud Controlling Factors -- Low Clouds BJORN STEVENS, Department of Atmospheric and Oceanic conspire to determine the statistics and cli- matology of layers of shallow (boundary layer) clouds of low-cloud control- ling processes are offered: these include renewing our focus on theory, model

Stevens, Bjorn

52

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Unique Properties of the Arctic Stratiform Cloud-Top Region Unique Properties of the Arctic Stratiform Cloud-Top Region Submitter: Shupe, M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Sedlar J, MD Shupe, and M Tjernström. 2011. "On the relationship between thermodynamic structure and cloud top, and its climate significance in the Arctic." Journal of Climate, 25(7), doi:10.1175/JCLI-D-11-00186.1. Occurrence frequency of low-level, stratiform cloud cases used in the analysis (black), percentage of these cases where the cloud top was identified to occur within the inversion (CII, gray), and percentage where the cloud top was observed to be capped by the inversion (CCI, white) for the ASCOS, SHEBA, and Barrow locations. The total number of cases analyzed

53

Z .Atmospheric Research 51 1999 4575 Cloud resolving simulations of Arctic stratus  

E-Print Network [OSTI]

on the evolution of the simulated mixed-phase ASC layer are studied. Cloud layers either collapse through rapid glaciation and ice precipitation from the cloud layer or maintain a quasi-steady state. Sensitivity studies show that the stability of the mixed-phase cloud layer is dependent upon the temperature, ice

Harrington, Jerry Y.

54

Processing of cloud condensation nuclei by collision-coalescence in a mesoscale model  

E-Print Network [OSTI]

The Naval Research Laboratory's Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) is employed to explore the relative importance of source, sink, and transport processes in producing an accurate forecast of the ...

Mechem, David B.; Robinson, Paul C.; Kogan, Yefim L.

2006-09-26T23:59:59.000Z

55

Research Highlights Sorted by Research Area  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Research Area Research Area Radiation Processes | Cloud Distributions/Characterizations | Surface Properties | General Circulation and Single Column Models/Parameterizations | Aerosol Properties | Atmospheric Thermodynamics and Vertical Structures | Clouds with Low Optical [Water] Depths (CLOWD) | Vertical Velocity | Broadband Heating Rate Profile (BBHRP) | Cloud-Aerosol-Precipitation Interactions | Cloud Processes | Aerosol Processes Radiation Processes Alexandrov, M. D. Optical Depth Measurements by Shadowband Radiometers and Their Uncertainties ARM Berg, L. Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP ARM Bergmann, D. The Influence of Regional Anthropogenic Emission Reductions on Aerosol Direct Radiative Forcing ASR Bhattacharya, A. Burning on the Prairies ARM

56

Research towards a systematic signature discovery process  

SciTech Connect (OSTI)

In its most general form, a signature is a unique or distinguishing measurement, pattern, or collection of data that identifies a phenomenon (object, action, or behavior) of interest. The discovery of signatures is an important aspect of a wide range of disciplines from basic science to national security for the rapid and efficient detection and/or prediction of phenomena. Current practice in signature discovery is typically accomplished by asking domain experts to characterize and/or model individual phenomena to identify what might compose a useful signature. What is lacking is an approach that can be applied across a broad spectrum of domains and information sources to efficiently and robustly construct candidate signatures, validate their reliability, measure their quality, and overcome the challenge of detection -- all in the face of dynamic conditions, measurement obfuscation and noisy data environments. Our research has focused on the identification of common elements of signature discovery across application domains and the synthesis of those elements into a systematic process for more robust and efficient signature development. In this way, a systematic signature discovery process lays the groundwork for leveraging knowledge obtained from signatures to a particular domain or problem area, and, more generally, to problems outside that domain. This paper presents the initial results of this research by discussing a mathematical framework for representing signatures and placing that framework in the context of a systematic signature discovery process. Additionally, the basic steps of this process are described with details about the methods available to support the different stages of signature discovery, development, and deployment.

Baker, Nathan A.; Barr, Jonathan L.; Bonheyo, George T.; Joslyn, Cliff A.; Krishnaswami, Kannan; Oxley, Mark; Quadrel, Richard W.; Sego, Landon H.; Tardiff, Mark F.; Wynne, Adam S.

2013-06-04T23:59:59.000Z

57

Cloud Computing: Rain-Clouds System  

E-Print Network [OSTI]

Abstract Cloud Computing is the on demand service can be provided to the users at any time. It delivers the software, data access, computing as a service rather than the product. The Cloud application simplifies the computing technology by providing pay-per-use customer relationship. It is the theory that familiar to cheaper devices with low processing power, lower storage capacities, great flexibility and many more things. The security of cloud computing is a major factor as users store sensitive and confidential information with cloud storage providers. The range of these providers may be un trusted and harmful. The purpose of adopting cloud computing in an organization is to decide between a public cloud ? and private cloud ? by means of privacy. Public clouds often known as provider clouds are administrated by third parties and services are offered on pay-per-use basis. Private clouds or internal clouds are owned by the single firm but it has some metrics such as lacking of availability of services (such as memory, server) and network resources which leads it to down. Due to this, technology moves toward the concept of Multi clouds or Rain Clouds. This paper displays the use of multi-clouds or rain clouds due to its ability to handle the huge amount of data traffic that affect the cloud computing user.

Harinder Kaur

58

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Curve Captures Cloud System Variability Submitter: Lamb, P. J., University of Oklahoma Area of Research: Cloud DistributionsCharacterizations Working Group(s): Cloud...

59

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Madden-Julian Oscillation Heating: to Tilt or Not to Tilt Download a printable PDF Submitter: Schumacher, C., Texas A&M University Area of Research: Cloud Processes Working...

60

Engineering resource management middleware for optimizing the performance of clouds processing mapreduce jobs with deadlines  

Science Journals Connector (OSTI)

This paper focuses on devising efficient resource management techniques used by the resource management middleware in clouds that handle MapReduce jobs with end-to-end service level agreements (SLAs) comprising an earliest start time, execution time, ... Keywords: constraint programming (cp), mapreduce with deadlines, mixed integer linear programming (milp), optimization, resource management on clouds

Norman Lim; Shikharesh Majumdar; Peter Ashwood-Smith

2014-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A Finer Mesh to Improve Cloud Representation in Climate Models? A Finer Mesh to Improve Cloud Representation in Climate Models? Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Boutle IA, SJ Abel, PG Hill, and CJ Morcrette. 2013. "Spatial variability of liquid cloud and rain: observations and microphysical effects." Quarterly Journal Royal Meteorological Society, , doi:10.1002/qj.2140. Different sizes of water droplets as well as varying water content dramatically alter cloud properties-often at a resolution finer than is currently in use by most climate models. Although clouds can extend for several kilometers, their properties-for example, liquid and rainwater content-can change dramatically over very

62

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Arctic Mixed-phase Clouds Persist with Little Help from the Local Surface Arctic Mixed-phase Clouds Persist with Little Help from the Local Surface Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Shupe MD, OG Persson, IM Brooks, M Tjernstrom, J Sedlar, T Mauritsen, S Sjogren, and C Leck. 2013. "Cloud and boundary layer interactions over the Arctic sea ice in late summer." Atmospheric Chemistry and Physics, 13, doi:10.5194/acp-13-9379-2013. Figure 1. Normalized profiles of (a) vertical velocity skewness and (b) variance, (c) turbulent dissipation rate, and (d) potential temperature. Black curves are all data, while red and green are for decoupled and coupled cases, respectively. Normalization is relative to the cloud top

63

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Shallow Clouds Make the Case for Remote Sensing Instrumentation Shallow Clouds Make the Case for Remote Sensing Instrumentation Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: McFarlane, S. A., and W. W. Grabowski (2007). Optical properties of shallow tropical cumuli derived from ARM ground-based remote sensing, Geophys. Res. Lett., 34, L06808, doi:10.1029/2006GL028767. In this figure, the lines indicate theoretical calculations of cloud droplet size for clouds with various droplet concentrations in which no mixing occurs. The cloud droplet size shows significant variability with height. Traditionally, observations of air mixing and cloud droplet size come from in situ aircraft probes, which collect data at very high horizontal

64

Responsible Science: Ensuring the Integrity of the Research Process  

SciTech Connect (OSTI)

This is the final technical report for DE-SC0005916 Responsible Science: Ensuring the Integrity of the Research Process.

Arrison, Thomas Samuel

2014-03-31T23:59:59.000Z

65

Parallel map projection of vector-based big spatial data: Coupling cloud computing with graphics processing units  

Science Journals Connector (OSTI)

Abstract The objective of this article is to present a framework that couples cloud and high-performance computing for the parallel map projection of vector-based big spatial data. The past few years have witnessed a tremendous growth of a variety of high-volume spatial datai.e., big spatial data. Map projection is often needed, for example, when we apply these big spatial data into large-scale spatial analysis and modeling approaches that require a common coordinate system. However, due to the size of these data and algorithmic complexity of map projections, the transformation of big spatial data between alternative projections represents a pressing computational challenge. Recent advancement in cloud computing and high-performance computing offers a potential means of addressing this computational challenge. The parallel map projection framework presented in this study is based on a layered architecture that couples capabilities of cloud computing and high-performance computing accelerated by Graphics Processing Units. We use large LiDAR data as an example of vector-based big spatial data to investigate the utility of the parallel map projection framework. As experimental results reveal, the framework provides considerable acceleration for re-projecting vector-based big spatial data. Coupling high-performance and cloud computing, which complement to each other, is a suggested solution for the efficient processing and analysis of big spatial data.

Wenwu Tang; Wenpeng Feng

2014-01-01T23:59:59.000Z

66

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Exploring Parameterization for Turbulent Entrainment-Mixing Processes in Exploring Parameterization for Turbulent Entrainment-Mixing Processes in Clouds Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Lu, C., Brookhaven National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Lu C, S Niu, S Krueger, and T Wagner. 2013. "Exploring parameterization for turbulent entrainment-mixing processes in clouds." Journal of Geophysical Research - Atmospheres, 118(1), doi:10.1029/2012JD018464. Relationships between the three microphysical measures of homogeneous mixing degree (ψ1, ψ2, ψ3) and the two transition scale numbers (NLa, NL0), respectively. The results shown here are from the EMPM simulations.

67

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud-Resolving Model (CRM) Simulations: Robust Results for Use in Climate Cloud-Resolving Model (CRM) Simulations: Robust Results for Use in Climate Model Development Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies Smith-Mrowiec, A. A., Columbia University/NASA Goddard Institute for Space Studies Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mrowiec AA, C Rio, AM Fridlind, AS Ackerman, AD Del Genio, OM Pauluis, AC Varble, and J Fan. 2012. "Analysis of cloud-resolving simulations of a tropical mesoscale convective system observed during TWP-ICE: Vertical fluxes and draft properties in convective and stratiform regions." Journal of Geophysical Research, 117, D19201, doi:10.1029/2012JD017759.

68

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

TOA Radiation Budget of Convective Core/Stratiform Rain/Anvil Clouds from TOA Radiation Budget of Convective Core/Stratiform Rain/Anvil Clouds from Deep Convection Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Feng Z, XQ Dong, BK Xi, C Schumacher, P Minnis, and M Khaiyer. 2011. "Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep convective systems." Journal of Geophysical Research - Atmospheres, 116, D23202, doi:10.1029/2011JD016451. An example of the hybrid classification process. (a) GOES IR temperature, (b) NEXRAD radar reflectivity at 2.5 km MSL, (c) cloud patch segmentation from GOES IR temperature (the color patches are identified as deep

69

Cloud Based Applications and Platforms (Presentation)  

SciTech Connect (OSTI)

Presentation to the Cloud Computing East 2014 Conference, where we are highlighting our cloud computing strategy, describing the platforms on the cloud (including Smartgrid.gov), and defining our process for implementing cloud based applications.

Brodt-Giles, D.

2014-05-15T23:59:59.000Z

70

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Biases in Column Absorption for Fractal Clouds Biases in Column Absorption for Fractal Clouds Submitter: Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marshak, Alexander; Davis, Anthony; Wiscombe, Warren; Ridgway, William; Cahalan, Robert; 1998: "Biases in Shortwave Column Absorption in the Presence of Fractal Clouds," J. Climate 11(3):431-446. Figure 1: Water vapor transmission spectra for solar zenith angle of 60 degree. From the top: from TOA to 5 km, from TOA to 1 km, from TOA to 0.5 km and, finally, from TOA to surface. Figure 2: Fractional cloudiness N = 0.777. (a) Horizontal distribution of optical depth, the same for both models. (b) Horizontal distribution of cloud height for optical model. Constant cloud top and cloud base; thus

71

Upper-Ocean Processes under the Stratus Cloud Deck in the Southeast Pacific Ocean  

Science Journals Connector (OSTI)

The annual mean heat budget of the upper ocean beneath the stratocumulus/stratus cloud deck in the southeast Pacific is estimated using Simple Ocean Data Assimilation (SODA) and an eddy-resolving Hybrid Coordinate Ocean Model (HYCOM). Both are ...

Yangxing Zheng; George N. Kiladis; Toshiaki Shinoda; E. Joseph Metzger; Harley E. Hurlburt; Jialin Lin; Benjamin S. Giese

2010-01-01T23:59:59.000Z

72

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Aerosols Help Clouds Warm Up Arctic Aerosols Help Clouds Warm Up Arctic Submitter: Lubin, D., National Science Foundation Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Lubin, D., and A.M. Vogelmann, 2006: A climatologically significant aerosol longwave indirect effect in the Arctic, Nature, 439, 26 January, 453-456, doi:10.1038/nature04449 In a process known as the first aerosol indirect effect, enhanced aerosol concentrations cause the droplets in a cloud to be smaller and more numerous within a cloud of fixed water amount. This study found that this process can make many clouds more opaque and emit more thermal energy to the surface. The warming of the Arctic climate and decreases in sea ice area and thickness observed over recent decades are believed to result from

73

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Putting the Pieces Together Putting the Pieces Together Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Fan J, S Ghan, M Ovchinnikov, X Liu, P Rasch, and A Korolev. 2011. "Representation of arctic mixed-phase clouds and the Wegener-Bergeron-Findeisen process in climate models: Perspectives from a cloud-resolving study." Journal of Geophysical Research - Atmospheres, 116, D00T07, doi:10.1029/2010JD015375. PNNL's Arctic mixed-phase cloud research was augmented with field observations from the 2008 Indirect and Semi-Direct Aerosol Campaign (ISDAC) in Northern Alaska. Photo courtesy of A. Korolev, Environment Canada. Vertical cross sections of (a) the vertical velocity (the contour lines)

74

10 DESIGN SCIENCE RESEARCH FOR BUSINESS PROCESS DESIGN  

E-Print Network [OSTI]

10 DESIGN SCIENCE RESEARCH FOR BUSINESS PROCESS DESIGN: Organizational Transition at Intersport strategies. This paper elaborates on experiences from a business process design effort in an action research for taking the retail chain Intersport into a new organizational state where the new process design

Paris-Sud XI, Université de

75

EM Marks Milestone at Separations Process Research Unit | Department of  

Broader source: Energy.gov (indexed) [DOE]

Marks Milestone at Separations Process Research Unit Marks Milestone at Separations Process Research Unit EM Marks Milestone at Separations Process Research Unit March 7, 2013 - 12:00pm Addthis Workers construct an enclosure for Building H2 at the Separations Process Research Unit Workers construct an enclosure for Building H2 at the Separations Process Research Unit NISKAYUNA, N.Y. - EM met a major regulatory milestone at the Separations Process Research Unit (SPRU) by completing construction of enclosures and ventilation systems required for cleanup. The SPRU project at the Knolls Atomic Power Laboratory reached the milestone last week in a consent order between DOE and the U.S. Environmental Protection Agency issued pursuant to the Clean Air Act. The Department has now accomplished all the requirements of the consent order.

76

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A Simple Stochastic Model for Generating Broken Cloud Optical Depth and A Simple Stochastic Model for Generating Broken Cloud Optical Depth and Cloud Top Height Fields Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Prigarin, S, and A Marshak. 2008. "A simple stochastic model for generating broken cloud optical depth and cloud top height fields." Journal of Atmospheric Sciences, in press. Fig. 1. A 68-km by 68-km region in Brazil centered at 17o S and 42o W collected on August 9, 2001, at 1015 local time. The solar zenith angle 410; the solar azimuth angle 23o (from the top). (a) moderate-resolution imaging spectroradiometer (MODIS) true color red, green, blue (RGB) 1-km

77

TRACKING TROPICAL CLOUD SYSTEMS -OBSERVATIONS FOR THE DIAGNOSIS OF SIMULATIONS BY THE WEATHER RESEARCH  

E-Print Network [OSTI]

using a satellite cloud tracking algorithm (Boer and Ramanathan, 1997), and the statistics are compared with the U.S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish

78

Purchase Requisition & Purchase Order Approval Process Office of Research Administration  

E-Print Network [OSTI]

Purchase Requisition & Purchase Order Approval Process Office of Research Administration Purchase are sent to the Office of Research Administration as part of the approval for setting up a Purchase Order Requisition & Purchase Order Approval Process 1. Overview Purchase Requisitions and Field Purchase orders

79

NREL: Hydrogen and Fuel Cells Research - Thermochemical Processes  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Printable Version Printable Version Thermochemical Processes Photo of a researcher wearing a hardhat and examining a catalytic steam reformer. Catalytic steam reforming increases the overall yield of fuel gas from biomass. NREL's researchers have investigated the thermochemical conversion of renewable energy feedstocks since the lab's inception. Researchers are developing gasification and pyrolysis processes to convert biomass and its residues to hydrogen, fuels, chemicals, and power. Building on past successes, biomass is increasingly one of the best near-term options for renewable hydrogen production. Thermochemical Process R&D Research and development at NREL provides a fundamental understanding of the chemistry of biomass pyrolysis. This R&D includes stabilizing and

80

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Susceptibility Measures Potential Cloud Sensitivity to First Aerosol Cloud Susceptibility Measures Potential Cloud Sensitivity to First Aerosol Indirect Effect Download a printable PDF Submitter: Oreopoulos, L., NASA Platnick, S., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Platnick, S, and L Oreopoulos. 2008. "Radiative susceptibility of cloudy atmospheres to droplet number perturbations: 1. Theoretical analysis and examples from MODIS." Journal of Geophysical Research doi:10.1029/2007JD009654, in press. Oreopoulos, L., and S. Platnick. 2008. Radiative susceptibility of cloudy atmospheres to droplet number perturbations: 2. Global analysis from MODIS, J. Geophys. Res., doi:10.1029/2007JD009655, in press. Theoretical calculations with a shortwave broadband radiative transfer

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

DOE - Office of Legacy Management -- Separations Process Research Unit -  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Separations Process Research Unit - Separations Process Research Unit - 024 FUSRAP Considered Sites Site: Separations Process Research Unit (024) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: This facility was constructed and operated by the Atomic Energy Commission as a pilot plant for developing and testing the chemical processes to extract both uranium and plutonium from irradiated fuel. Through Fiscal Year 1999 the Department of Energy's Office of Naval Reactors performed surveillance and maintenance activities. In Fiscal Year 2000, a contract was initiated to begin the characterization of the facilities. This will be

82

Atmospheric Pollution Research 1 (2010) 220228 Atmospheric Pollution Research  

E-Print Network [OSTI]

Atmospheric Pollution Research 1 (2010) 220228 Atmospheric Pollution Research www in modeling of the associated multiphase processes. Iron redox species are important pollutants. The oxidative capacity of the atmospheric cloud water decreases when dissolution is included

Boyer, Edmond

83

Edinburgh Research Explorer Processivity and Coupling in Messenger RNA Transcription  

E-Print Network [OSTI]

Edinburgh Research Explorer Processivity and Coupling in Messenger RNA Transcription Citation and processing that is not captured in the model. Methodology: In this paper, we explore the impact on the m, 'Processivity and Coupling in Messenger RNA Transcription' PLoS One, vol 5, no. 1, e8845, pp. 1-12., 10

Millar, Andrew J.

84

Super Building Insulation by CO2 Foaming Process Research Project |  

Broader source: Energy.gov (indexed) [DOE]

Emerging Technologies » Super Building Insulation by CO2 Foaming Emerging Technologies » Super Building Insulation by CO2 Foaming Process Research Project Super Building Insulation by CO2 Foaming Process Research Project The Department of Energy is currently researching the development of building superinsulation through a carbon dioxide (CO2) foaming process. Project Description This project seeks to develop building super insulation through a carbon dioxide foaming process that does not use hydrofluorocarbons (HFCs), and which produces insulation with a high R-value. Project Partners Research is being undertaken between the Department of Energy and The Industrial Science & Technology Network. Project Goals The goal of this project is to develop advanced insulation without HFC, and to achieve a competitive processing cost for CO2 foaming technology.

85

Atomic Collision Processes in Magnetic Confinement Controlled Thermonuclear Fusion Research  

Science Journals Connector (OSTI)

This NATO Advanced Study Institute is concerned with atomic and molecular processes in controlled thermonuclear fusion research. Most of our attention will be ... and planned tokamaks, since this approach to fusion

M. R. C. McDowell

1980-01-01T23:59:59.000Z

86

Northwestern University Facility for Clean Catalytic Process Research  

SciTech Connect (OSTI)

Northwestern University with DOE support created a Facility for Clean Catalytic Process Research. This facility is designed to further strengthen our already strong catalysis research capabilities and thus to address these National challenges. Thus, state-of-the art instrumentation and experimentation facility was commissioned to add far greater breadth, depth, and throughput to our ability to invent, test, and understand catalysts and catalytic processes, hence to improve them via knowledge-based design and evaluation approaches.

Marks, Tobin Jay [Northwestern University

2013-05-08T23:59:59.000Z

87

Observing Warm Clouds in 3D Using ARM Scanning Cloud  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Observing Warm Clouds in 3D Using ARM Scanning Cloud Radars and a Novel Ensemble Method For original submission and image(s), see ARM Research Highlights http:www.arm.gov...

88

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Simulating Mixed-Phase Clouds: Sensitivity to Ice Initiation Simulating Mixed-Phase Clouds: Sensitivity to Ice Initiation Download a printable PDF Submitter: Sednev, I., Lawrence Berkeley National Laboratory Menon, S., Lawrence Berkeley National Laboratory McFarquhar, G., University of Illinois, Urbana Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: I Sednev, S Menon, and G McFarquhar. 2008. "Simulating mixed-phase Arctic stratus clouds: Sensitivity to ice initiation mechanisms." Atmospheric Chemistry and Physics Discussion 8: 11755-11819. The vertical structure and radiative properties of persistent low-level Arctic clouds depend on their microphysics, and thus, estimation of the relative significance of the microphysical processes that occur in these

89

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Satellite Constraints on Cloud-Top Phase, Ice Size, and Asymmetry Parameter Satellite Constraints on Cloud-Top Phase, Ice Size, and Asymmetry Parameter over Deep Convection Download a printable PDF Submitter: van Diedenhoven, B., NASA - Goddard Institute for Space Studies Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: van Diedenhoven B, AM Fridlind, AS Ackerman, and B Cairns. 2012. "Evaluation of hydrometeor phase and ice properties in cloud-resolving model simulations of tropical deep convection using radiance and polarization measurements." Journal of the Atmospheric Sciences, 69(11), doi:10.1175/JAS-D-11-0314.1. Liquid index (LI) values are directly derived from multi-directional polarized reflectances. POLDER measurements (dashed line envelop) show

90

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Mixed-Phase Cloud Radiative Properties from M-PACE Microphysical Retrievals Mixed-Phase Cloud Radiative Properties from M-PACE Microphysical Retrievals Download a printable PDF Submitter: de Boer, G., University of Colorado, Boulder/CIRES Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: de Boer G, WD Collins, S Menon, and CN Long. 2011. "Using surface remote sensors to derive radiative characteristics of mixed-phase clouds: An example from M-PACE." Atmospheric Chemistry and Physics, 11, doi: 10.5194/acp-11-11937-2011. Measured and retrieved cloud properties on 10 October 2004. Included are (top to bottom) AHSRL bacscatter cross-section, AHSRL depolarization ratio, MMCR reflectivity, and profiles of liquid water content (LWC), ice water content (IWC), and liquid (r_{e,liq}) and ice (r$_{e,ice}$) effective

91

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Role of Microphysics Parameterization in Simulating Tropical Mesoscale The Role of Microphysics Parameterization in Simulating Tropical Mesoscale Convective Systems Download a printable PDF Submitter: Van Weverberg, K., Brookhaven National Laboratory Vogelmann, A. M., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Van Weverberg K, AM Vogelmann, W Lin, EP Luke, AT Cialella, P Minnis, MM Khaiyer, ER Boer, and MP Jensen. 2013. "The role of cloud microphysics parameterization in the simulation of mesoscale convective system clouds and precipitation in the Tropical Western Pacific." Journal of the Atmospheric Sciences, 70(4), doi:10.1175/JAS-D-12-0104.1. The spatial distribution of cloud types at 3 UTC on 27 December 2003 as observed by GOES-9 and as simulated by the three commonly used microphysics

92

Z .Atmospheric Research 4748 1998 6986 Some effects of cloud turbulence on waterice and  

E-Print Network [OSTI]

investi- Z Z .gators' attention see a special issue of Atmospheric Research, 40 1996 and an . Zoverview

Mark, Pinsky

93

DOE - Office of Legacy Management -- Processes Research Inc - OH 44  

Office of Legacy Management (LM)

Processes Research Inc - OH 44 Processes Research Inc - OH 44 FUSRAP Considered Sites Site: PROCESSES RESEARCH, INC (OH.44) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: 2905 Vernon Place , Cincinnati , Ohio OH.44-1 Evaluation Year: 1991 OH.44-2 OH.44-3 Site Operations: Research and development of machining methods during the early 1950s; no indication of involvement with radioactive materials. OH.44-1 OH.44-3 Site Disposition: Eliminated - Potential for contamination considered remote based on nature of operations at the site OH.44-2 Radioactive Materials Handled: None Indicated Primary Radioactive Materials Handled: None OH.44-3 Radiological Survey(s): No Site Status: Eliminated from consideration under FUSRAP

94

NREL: Photovoltaics Research - New Materials, Devices, and Processes for  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

New Materials, Devices, and Processes for Advanced Concepts New Materials, Devices, and Processes for Advanced Concepts Computational Science and Theory We can use high-performance computing tools in modeling and simulation studies of semiconductor and other solar materials. We also determine the performance of solar devices. Theoretical studies can help us understand underlying physical principles or predict useful chemical compositions and crystalline structures. Scientific Computing Experimental Materials Science Solid-State Theory. NREL has strong complementary research capabilities in organic photovoltaic (OPV) cells, transparent conducting oxides (TCOs), combinatorial (combi) methods, and atmospheric processing. From fundamental physical studies to applied research relating to solar industry needs, we are developing the

95

NREL: Biomass Research - Projects in Integrated Biorefinery Processes  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Projects in Integrated Biorefinery Processes Projects in Integrated Biorefinery Processes A photo of a control room with four large computer screens. A man and a woman are looking at the screens. The Thermochemical Process Development Unit is equipped with sophisticated process monitoring and operation control systems. NREL is focused on integrating all the biomass conversion unit operations. With extensive knowledge of the individual unit operations, NREL is well-positioned to link these operations together at the mini-pilot and pilot scales. Among the integrated biorefinery projects are: Sorghum to Ethanol Research Initiative Sorghum shows promising characteristics as a feedstock for biofuel production. However, little basic research data exists. NREL is performing integrated research on sorghum by studying it at every step along the

96

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimating Glaciation Temperature of Deep Convective Clouds with Remote Sensing Data Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Cloud...

97

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

For Estimates of Cloud Optical Thickness, Simple Equation Is Good Enough Submitter: Barnard, J. C., Pacific Northwest National Laboratory Area of Research: Cloud Distributions...

98

NREL: Biomass Research - Projects in Biomass Process and Sustainability  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Projects in Biomass Process and Sustainability Analyses Projects in Biomass Process and Sustainability Analyses Researchers at NREL use biomass process and sustainability analyses to understand the economic, technical, and global impacts of biomass conversion technologies. These analyses reveal the economic feasibility and environmental benefits of biomass technologies and are useful for government, regulators, and the private sector. NREL's Energy Analysis Office integrates and supports the energy analysis functions at NREL. Among NREL's projects in biomass process and sustainability analyses are: Life Cycle Assessment of Energy Independence and Security Act for Ethanol NREL is determining the life cycle environmental impacts of the ethanol portion of the Energy Independence and Security Act (EISA). EISA mandates

99

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimating Fractional Sky Cover from Spectral Measurements Estimating Fractional Sky Cover from Spectral Measurements Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Min, Q., State University of New York, Albany Wang, T., State University of New York, Albany Duan, M., Institute of Atmospheric Physics/Chinese Academy of Science Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Min Q, T Wang, CN Long, and M Duan. 2008. "Estimating fractional sky cover from spectral measurements." Journal of Geophysical Research - Atmospheres, 113, D20208, doi:10.1029/2008JD010278. Retrieved and observed cloud fractions and corresponding TSI cloud imagers on 8 July 2005 at Pt. Reyes. Scatterplot of retrieved cloud fraction from spectral ratio method and SW

100

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Shortwave Absorption in Tropical Clouds Shortwave Absorption in Tropical Clouds Download a printable PDF Submitter: McFarlane, S. A., U.S. Department of Energy Mather, J. H., Pacific Northwest National Laboratory Ackerman, T. P., University of Washington Liu, Z., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: McFarlane, SA, JH Mather, TP Ackerman, and Z Liu. 2008. "Effect of clouds on the vertical distribution of SW absorption in the Tropics." Journal of Geophysical Research, in press. Daily average all-sky and clear-sky calculated SW column absorption at Manus and Nauru. On average, there is little difference in absorption between the all-sky and clear-sky conditions because of the compensating

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

An Affordable, Flexible, and More Accurate Method for Computing Radiative An Affordable, Flexible, and More Accurate Method for Computing Radiative Transfer Submitter: Pincus, R., NOAA - CIRES Climate Diagnostics Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Pincus, R., H.W. Barker, J.J. Morcrette, A fast, flexible approximate technique for computing radiative transfer in inhomogenous cloud fields, J. Geophys. Res., Vol. 108, No. D13, 4376, doi:10.1029/2002JD003322, 2003 Key Contributors: H.W. Barker, J.J. Morcrette Cloud radiative feedback-the amount of solar radiation that is absorbed by clouds before it reaches the earth and bounces back into the atmosphere-is the single most important effect determining the magnitude of possible climate responses to human activity. However, cloud properties

102

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Spectral Invariant Behavior of Zenith Radiance Around Cloud Edges Observed Spectral Invariant Behavior of Zenith Radiance Around Cloud Edges Observed by ARM SWS Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Knyazikhin, Y., Boston University Chiu, J., University of Reading Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marshak A, Y Knyazikhin, JC Chiu, and WJ Wiscombe. 2009. "Spectral invariant behavior of zenith radiance around cloud edges observed by ARM SWS." Geophysical Research Letters, 36, L16802, doi:10.1029/2009GL039366. (top) Time-wavelength color contour plot of ARM shortwave spectrometer (SWS) spectra measured from 21:35:24 to 21:40:24 UTC on 18 May 2007 at the ARM Climate Research Facility (ACRF) Southern Great Plains (SGP) site in

103

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

An Application of Linear Programming Techniques to ARM Polarimetric Radar An Application of Linear Programming Techniques to ARM Polarimetric Radar Processing Download a printable PDF Submitter: Giangrande, S., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Giangrande SE, R McGraw, and L Lei. 2013. "An application of linear programming to polarimetric radar differential phase processing." Journal of Atmospheric and Oceanic Technology, , . ACCEPTED. C-band scanning ARM precipitation radar fields of radar reflectivity factor Z and processed specific differential phase KDP for a section of a Midlatitude Continental Convective Clouds Experiment (MC3E) convective event as output from LP methods implemented for the ARM PyART processing suite. Detailed microphysical insights from weather radar systems are in demand

104

The Wool Industries Research Association: New Laboratories for Worsted Processing  

Science Journals Connector (OSTI)

... THE new Worsted Processing Block at Torridon, the Leeds headquarters of the Wool Industries Research Association, was opened by the Right Hon. R. G. Menzies, ... been very active in the Association's affairs since 1929, particularly in the field of scouring and combing, and also in that of finance-an impor tant aspect when new ...

H. LEMON

1961-04-22T23:59:59.000Z

105

Convective cloud and rainfall processes over the Maritime Continent : simulation and analysis of the diurnal cycle  

E-Print Network [OSTI]

The Maritime Continent experiences strong moist convection, which produces significant rainfall and drives large fluxes of heat and moisture to the upper troposphere. Despite the importance of these processes to global ...

Gianotti, Rebecca L. (Rebecca Louise)

2013-01-01T23:59:59.000Z

106

NREL: Biomass Research - Capabilities in Biomass Process and Sustainability  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Capabilities in Biomass Process and Sustainability Analyses Capabilities in Biomass Process and Sustainability Analyses A photo of a woman and four men, all wearing hard hats and looking into a large square bin of dried corn stover. One man is using a white scoop to pick up some of the material and another man holds some in his hand. Members of Congress visit NREL's cellulosic ethanol pilot plant. A team of NREL researchers uses biomass process and sustainability analyses to bridge the gap between research and commercial operations, which is critical for the scale-up of biomass conversion technology. Among NREL's biomass analysis capabilities are: Life cycle assessments Technoeconomic analysis Sensitivity analysis Strategic analysis. Life Cycle Assessments Conducting full life cycle assessments is important for determining the

107

Securely Managing Cryptographic Keys used within a Cloud Environment  

E-Print Network [OSTI]

to rapidly develop/host cloud applications Infrastructure as a Service (Iaas) - Networked access to processing power, storage Cloud Deployment Models Public Cloud Private Cloud Community Cloud Hybrid administers the Cloud Infrastructure? Who has access to my data? My activity history? Key Management Where

108

Coal liquefaction process research quarterly report, October-December 1979  

SciTech Connect (OSTI)

This quarterly report summarizes the activities of Sandia's continuing program in coal liquefaction process research. The overall objectives are to: (1) provide a fundamental understanding of the chemistry of coal liquefaction; (2) determine the role of catalysts in coal liquefaction; and (3) determine the mechanism(s) of catalyst deactivation. The program is composed of three major projects: short-contact-time coal liquefaction, mineral effects, and catalyst studies. These projects are interdependent and overlap significantly.

Bickel, T.C.; Curlee, R.M.; Granoff, B.; Stohl, F.V.; Thomas, M.G.

1980-03-01T23:59:59.000Z

109

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Classifying Cloud Phase Classifying Cloud Phase Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Shupe, MD. 2007. "A ground-based multisensory cloud phase classifier." Geophysical Research Letters 34, L22809, doi:10.1029/2007GL031008. Observations of (a) lidar backscatter, (b) lidar depolarization ratio, (c) radar reflectivity, (d) radar mean Doppler velocity, (e) radar Doppler spectrum width, (f) microwave radiometer-derived liquid water path, and (g) the resulting multisensor cloud-phase classification mask. Cloud phase identification is a necessary prerequisite to performing cloud property retrievals from remote sensor measurements. Most retrieval

110

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Millimeter Wave Scattering from Ice Crystals and Their Aggregates Millimeter Wave Scattering from Ice Crystals and Their Aggregates Download a printable PDF Submitter: Botta, G., Pennsylvania State University Verlinde, J., Pennsylvania State University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Botta G, K Aydin, J Verlinde, A Avramov, A Ackerman, A Fridlind, M Wolde, and G McFarquhar. 2011. "Millimeter wave scattering from ice crystals and their aggregates: Comparing cloud model simulations with X- and Ka-band radar measurements." Journal of Geophysical Research - Atmospheres, 116, D00T04, doi:10.1029/2011JD015909. Observational data sets are needed to drive and evaluate results from cloud-resolving model (CRM) simulations in order to improve parameterizations of the physical processes. Radar is one of the few

111

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Different Strokes for Different Folks-Not Any More, Say Scientists at the Different Strokes for Different Folks-Not Any More, Say Scientists at the UK Met Office Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Morcrette CJ, EJ O'Connor, and JC Petch. 2012. "Evaluation of two cloud parametrization schemes using ARM and Cloud-Net observations." Quarterly Journal Royal Meteorological Society, 138(665), doi:10.1002/qj.969. Integrating different metrics-and their errors and biases-used in weather and climate models may improve predictions by both types of models. What works for the weather models does not for climate models. Devising a common language, which translates into integrating the slew of metrics that the weather and climate science community uses, could be a way to improve

112

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Performance of Longwave Radiative Transfer Models for 3D Cloud Fields Performance of Longwave Radiative Transfer Models for 3D Cloud Fields Download a printable PDF Submitter: Kablick III, G. P., University of Maryland Ellingson, R. G., Florida State University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Kablick III GP, RG Ellingson, EE Takara, and J Gu. 2011. "Longwave 3D benchmarks for inhomogeneous clouds and comparisons with approximate methods." Journal of Climate, 24, doi:10.1175/2010JCLI3752.1. The respective flux and heating rate errors (model-3DMC) for (a),(b) ATEX and (c),(d) GATE A. The error profiles in (a) and (c) are to be interpreted as ICA, solid lines; MRO, dashed lines; RO, dotted lines. (b) and (d) also show the differences between MRO and RO. The horizontal lines are the

113

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Modification of the Atmospheric Boundary Layer by a Small Island: Modification of the Atmospheric Boundary Layer by a Small Island: Observations from Nauru Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Matthews, S., J. M. Hacker, J. Cole, J. Hare, C. N. Long, and R. M. Reynolds, (2007): Modification of the atmospheric boundary layer by a small island: observations from Nauru, MWR, Vol. 135, No. 3, pages 891–905. Figure 1. Illustration of daytime heating producing a thermal internal boundary layer effect over Nauru, which in turn produces cumulous clouds above the boundary layer. Figure 2. Illustration of Nauru heat-island produced by convective rolls forming cloud streets. Figure 3. Satellite images of Nauru on December 13, 2000 showing the cloud

114

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Measurement of Convective Entrainment Using Lagrangian Particles Measurement of Convective Entrainment Using Lagrangian Particles Download a printable PDF Submitter: Romps, D., University of California, Berkeley Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Yeo K and DM Romps. 2013. "Measurement of convective entrainment using Lagrangian particles." Journal of the Atmospheric Sciences, 70(1), doi:10.1175/JAS-D-12-0144.1. Trajectories of seven particles that are entrained at the cloud base and transported to the cloud top. Colors denote the mixing ratio of condensed water. Previous work by Romps (2010) found large entrainment rates of ~100% per kilometer for deep convection using a new technique for large-eddy simulations (LES) called "Eulerian direct measurement". These results

115

Oil shale, tar sand, coal research, advanced exploratory process technology, jointly sponsored research  

SciTech Connect (OSTI)

Progress made in five research programs is described. The subtasks in oil shale study include oil shale process studies and unconventional applications and markets for western oil shale.The tar sand study is on recycle oil pyrolysis and extraction (ROPE) process. Four tasks are described in coal research: underground coal gasification; coal combustion; integrated coal processing concepts; and sold waste management. Advanced exploratory process technology includes: advanced process concepts; advanced mitigation concepts; and oil and gas technology. Jointly sponsored research covers: organic and inorganic hazardous waste stabilization; CROW field demonstration with Bell Lumber and Pole; development and validation of a standard test method for sequential batch extraction fluid; PGI demonstration project; operation and evaluation of the CO[sub 2] HUFF-N-PUFF process; fly ash binder for unsurfaced road aggregates; solid state NMR analysis of Mesaverde group, Greater Green River Basin, tight gas sands; flow-loop testing of double-wall pipe for thermal applications; shallow oil production using horizontal wells with enhanced oil recovery techniques; NMR analysis of sample from the ocean drilling program; and menu driven access to the WDEQ hydrologic data management system.

Not Available

1992-01-01T23:59:59.000Z

116

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Tomography: a Novel Method for Determining 3D Cloud Liquid Water Cloud Tomography: a Novel Method for Determining 3D Cloud Liquid Water Distribution Download a printable PDF Submitter: Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Huang, D., Y. Liu, and W. Wiscombe, 2007a: Determination of cloud liquid water distribution using 3D cloud tomography. J. Geophys. Res., submitted. Cloud tomography is a novel method for determining cloud water distribution by measuring cloud microwave emission from multiple directions. The upper plot shows a 2D cross-sectional snapshot of the liquid water structure of a stratocumulus cloud simulated by a large-eddy model. It also shows the four scanning microwave radiometers used to retrieve the cloud liquid water

117

BNL | Atmospheric Systems Research  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Atmospheric System Research is a DOE observation-based research program Atmospheric System Research is a DOE observation-based research program created to advance process-level understanding of the key interactions among aerosols, clouds, precipitation, radiation, dynamics, and thermodynamics, with the ultimate goal of reducing the uncertainty in global and regional climate simulations and projections. General areas of research at BNL under this program include studies of aerosol and cloud lifecycles, and cloud-aerosol-precipitation interactions. Contact Robert McGraw, 631.344.3086 aerosols Aerosol Life Cycle The strategic focus of the Aerosol Life Cycle research is observation-based process science-examining the properties and evolution of atmospheric aerosols. Observations come from both long-term studies conducted by the

118

Multiscale Models for Cumulus Cloud Dynamics  

Science Journals Connector (OSTI)

Cumulus clouds involve processes on a vast range of scalesincluding cloud droplets, turbulent mixing, and updrafts and downdraftsand it is often difficult to determine how processes on different scales interact with each other. In this article, ...

Samuel N. Stechmann; Bjorn Stevens

2010-10-01T23:59:59.000Z

119

ARM - Measurement - Cloud extinction  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

extinction extinction ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud extinction The removal of radiant energy from an incident beam by the process of cloud absorption and/or scattering. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments NEPHELOMETER : Nephelometer Field Campaign Instruments CEP : Cloud Extinction Probe CLDAEROSMICRO : Cloud and Aerosol Microphysical Properties EC-CONVAIR580-BULK : Environment Canada Convair 580 Bulk Parameters

120

Cloud Computing  

SciTech Connect (OSTI)

Chicago Matters: Beyond Burnham (WTTW). Chicago has become a world center of "cloud computing." Argonne experts Pete Beckman and Ian Foster explain what "cloud computing" is and how you probably already use it on a daily basis.

Pete Beckman and Ian Foster

2009-12-04T23:59:59.000Z

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Testing cloud microphysics parameterizations in NCAR CAM5 with ISDAC and M-PACE observations  

SciTech Connect (OSTI)

Arctic clouds simulated by the National Center for Atmospheric Research (NCAR) Community Atmospheric Model version 5 (CAM5) are evaluated with observations from the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Indirect and Semi-Direct Aerosol Campaign (ISDAC) and Mixed-Phase Arctic Cloud Experiment (M-PACE), which were conducted at its North Slope of Alaska site in April 2008 and October 2004, respectively. Model forecasts for the Arctic spring and fall seasons performed under the Cloud-Associated Parameterizations Testbed framework generally reproduce the spatial distributions of cloud fraction for single-layer boundary-layer mixed-phase stratocumulus and multilayer or deep frontal clouds. However, for low-level stratocumulus, the model significantly underestimates the observed cloud liquid water content in both seasons. As a result, CAM5 significantly underestimates the surface downward longwave radiative fluxes by 20-40 W m{sup -2}. Introducing a new ice nucleation parameterization slightly improves the model performance for low-level mixed-phase clouds by increasing cloud liquid water content through the reduction of the conversion rate from cloud liquid to ice by the Wegener-Bergeron-Findeisen process. The CAM5 single-column model testing shows that changing the instantaneous freezing temperature of rain to form snow from -5 C to -40 C causes a large increase in modeled cloud liquid water content through the slowing down of cloud liquid and rain-related processes (e.g., autoconversion of cloud liquid to rain). The underestimation of aerosol concentrations in CAM5 in the Arctic also plays an important role in the low bias of cloud liquid water in the single-layer mixed-phase clouds. In addition, numerical issues related to the coupling of model physics and time stepping in CAM5 are responsible for the model biases and will be explored in future studies.

Liu X.; Lin W.; Xie, S.; Boyle, J.; Klein, S. A.; Shi, X.; Wang, Z.; Ghan, S. J.; Earle, M.; Liu, P. S. K.; Zelenyuk, A.

2011-12-24T23:59:59.000Z

122

2004 research briefs :Materials and Process Sciences Center.  

SciTech Connect (OSTI)

This report is the latest in a continuing series that highlights the recent technical accomplishments associated with the work being performed within the Materials and Process Sciences Center. Our research and development activities primarily address the materials-engineering needs of Sandia's Nuclear-Weapons (NW) program. In addition, we have significant efforts that support programs managed by the other laboratory business units. Our wide range of activities occurs within six thematic areas: Materials Aging and Reliability, Scientifically Engineered Materials, Materials Processing, Materials Characterization, Materials for Microsystems, and Materials Modeling and Simulation. We believe these highlights collectively demonstrate the importance that a strong materials-science base has on the ultimate success of the NW program and the overall DOE technology portfolio.

Cieslak, Michael J.

2004-01-01T23:59:59.000Z

123

International Cloud Workshop, Locarno, Switzerland, 3 Feb 2009  

E-Print Network [OSTI]

International Cloud Workshop, Locarno, Switzerland, 3 Feb 2009 Impact of broken and inhomogeneous clouds on satellite cloud-phase retrieval Erwin Wolters ­ KNMI Hartwig Deneke ­ KNMI/University of Bonn;Contents Introduction CM-SAF cloud-phase retrieval method The problem ­ research question Broken clouds

Haak, Hein

124

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARM Program Achieves Milestone in Global Cloud Properties Research ARM Program Achieves Milestone in Global Cloud Properties Research Submitter: Revercomb, H. E., University of Wisconsin, Madison Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Knuteson, R.O., Best, F.A., Dedecker, R.G., Feltz, W.F., Revercomb, H.E., and Tobin, D.C., 2004: "10 Years of AERI Data from the DOE ARM Southern Great Plains Site," In Proceedings from the Fourteenth ARM Science Team Meeting, U.S. Department of Energy,Washington, D.C. Figure 1 Figure 2 From the unassuming farmlands of north-central Oklahoma comes a milestone for the global climate research community. March 2004 marked the 10-year anniversary for an instrument that now holds the prestigious distinction of providing the longest set of continuous atmospheric interferometer data

125

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Observations at Niamey During the AMF Deployment Cloud Observations at Niamey During the AMF Deployment Submitter: Kollias, P., McGill University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Kollias, P. and M. A. Miller, 2007: Cloud and Precipitation Observations at Niamey During the 2006 ARM Mobile Facility Deployment. Submitted to Geophysical Research Letters. Daily observed cloud fraction in Niamey during the AMF deployment. The cloud fraction is derived using measurements from the 94-GHz radar, the MPL, and the ceilometer. The vertical resolution is 260 m, and a 5-day temporal filter is applied to the daily cloud fraction profiles. (a) Monthly-averaged cloud and precipitation fraction. The monthly mean and standard deviation of cirrus cloud top (white line), middle cloud tops

126

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Vertical Structure of Cloud Radiative Forcing at the ACRF SGP Revealed The Vertical Structure of Cloud Radiative Forcing at the ACRF SGP Revealed by 8 Years of Continuous Measurements Submitter: Mace, G., Utah State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Accepted to Journal of Climate, 2007. Figure 1. Cloud occurrence, coverage, radiative forcing, and radiation effects over a composite annual cycle that is derived by averaging all observations collected during a particular month for all years. a) cloud occurrence in 100 mb vertical bins, b) cloud coverage, c) infrared cloud radiative forcing in 100 mb vertical bins, d) solar cloud radiative forcing, e) net cloud radiative forcing, f,g,h) solar (dotted), IR (solid), and net (dashed) cloud radiative effect for TOA (f), atmosphere (g), and

127

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Entrainment Rate in Shallow Cumuli: Probabilistic Distribution and Entrainment Rate in Shallow Cumuli: Probabilistic Distribution and Dependence on Dry Air Sources Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Lu, C., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Lu C, Y Liu, S Niu, and AM Vogelmann. 2012. "Lateral entrainment rate in shallow cumuli: Dependence on dry air sources and probability density functions." Geophysical Research Letters, 39, L20812, doi:10.1029/2012GL053646. Probability density functions (PDFs) of entrainment rate (λ) for different dry air sources in eight cumulus flights. The rate at which cloud engulfs dry air (entrainment rate) has proven to be one of the strongest controls on the climate sensitivity of climate models;

128

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Environmental Thermodynamics Affect Radiative Impact of Deep Convective Cloud Systems Submitter: Jensen, M., Brookhaven National Laboratory Area of Research: Atmospheric...

129

Climate-Weather Modeling Studies Using a Prototype Global Cloud-System  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model PI Name: Venkatramani Balaji PI Email: balaji@princeton.edu Institution: Geophysical Fluid Dynamics Laboratory Allocation Program: ESP Allocation Hours at ALCF: 150 Million Year: 2010 to 2013 Research Domain: Earth Science We expect our understanding of the role of clouds in climate to undergo a qualitative change as the resolutions of global models begin to encompass clouds. At these resolutions, non-hydrostatic dynamics become significant and deep convective processes are resolved. We are poised at the threshold of being able to run global scale simulations that include direct, non-parameterized, simulations of deep convective clouds. The goal of this

130

E-Print Network 3.0 - advanced process research Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

computer science, education and scientific research aimed at helping... of the research process. Microsoft ... Source: Narasayya, Vivek - Data Management, Exploration and Mining...

131

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Buffering of Ice Crystal Number Concentration to Ice Nucleus Abundance Buffering of Ice Crystal Number Concentration to Ice Nucleus Abundance Above Arctic Stratus Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies Ackerman, A., NASA - Goddard Institute for Space Studies Area of Research: Cloud Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Fridlind AM, B van Diedenhoven, AS Ackerman, A Avramov, A Mrowiec, H Morrison, P Zuidema, and MD Shupe. 2012. "A FIRE-ACE/SHEBA case study of mixed-phase Arctic boundary-layer clouds: Entrainment rate limitations on rapid primary ice nucleation processes." Journal of the Atmospheric Sciences, 69(1), doi:10.1175/JAS-D-11-052.1. Observed and simulated histograms of MMCR radar reflectivity (left) and

132

Cloud Computing at NERSC  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Home R & D Archive Cloud Computing Cloud Computing Cloud computing is gaining a foothold in the business world, but can clouds meet the specialized needs of scientists?...

133

Contribution of Microbial Activity to Carbon Chemistry in Clouds  

Science Journals Connector (OSTI)

...of their atmospheric transport that atmospheric particles...undergo several condensation-evaporation...in cloud water. Clouds...of cloud water, precipitation...Microbiology and atmospheric processes...resource recovery. IWA Publishing...

Mickal Vatilingom; Pierre Amato; Martine Sancelme; Paolo Laj; Maud Leriche; Anne-Marie Delort

2009-10-23T23:59:59.000Z

134

Constructing a Merged Cloud-Precipitation Radar Dataset for Tropical Convective Clouds during the DYNAMO/AMIE Experiment at Addu Atoll  

SciTech Connect (OSTI)

To improve understanding of the convective processes key to the Madden-Julian-Oscillation (MJO) initiation, the Dynamics of the MJO (DYNAMO) and Atmospheric Radiation Measurement MJO Investigation Experiment (AMIE) collected four months of observations from three radars, the S-band Polarization Radar (S-Pol), the C-band Shared Mobile Atmospheric Research & Teaching Radar (SMART-R), and Ka-band Zenith Radar (KAZR) on Addu Atoll in the tropical Indian Ocean. This study compares the measurements from the S-Pol and SMART-R to those from the more sensitive KAZR in order to characterize the hydrometeor detection capabilities of the two scanning precipitation radars. Frequency comparisons for precipitating convective clouds and non-precipitating high clouds agree much better than non-precipitating low clouds for both scanning radars due to issues in ground clutter. On average, SMART-R underestimates convective and high cloud tops by 0.3 to 1.1 km, while S-Pol underestimates cloud tops by less than 0.4 km for these cloud types. S-Pol shows excellent dynamic range in detecting various types of clouds and therefore its data are well suited for characterizing the evolution of the 3D cloud structures, complementing the profiling KAZR measurements. For detecting non-precipitating low clouds and thin cirrus clouds, KAZR remains the most reliable instrument. However, KAZR is attenuated in heavy precipitation and underestimates cloud top height due to rainfall attenuation 4.3% of the time during DYNAMO/AMIE. An empirical method to correct the KAZR cloud top heights is described, and a merged radar dataset is produced to provide improved cloud boundary estimates, microphysics and radiative heating retrievals.

Feng, Zhe; McFarlane, Sally A.; Schumacher, Courtney; Ellis, Scott; Comstock, Jennifer M.; Bharadwaj, Nitin

2014-05-16T23:59:59.000Z

135

Cloud Computing.  

E-Print Network [OSTI]

?? Cloud computing has been given a great deal of attention during recent years. Almost all the technology market leaders and leading hosting service providers (more)

Siddiqui, Muhammad Anas

2013-01-01T23:59:59.000Z

136

RESEARCH ON CARBON PRODUCTS FROM COAL USING AN EXTRACTIVE PROCESS  

SciTech Connect (OSTI)

This report presents the results of a one-year effort directed at the exploration of the use of coal as a feedstock for a variety of industrially-relevant carbon products. The work was basically divided into three focus areas. The first area dealt with the acquisition of laboratory equipment to aid in the analysis and characterization of both the raw coal and the coal-derived feedstocks. Improvements were also made on the coal-extraction pilot plant which will now allow larger quantities of feedstock to be produced. Mass and energy balances were also performed on the pilot plant in an attempt to evaluate the scale-up potential of the process. The second focus area dealt with exploring hydrogenation conditions specifically aimed at testing several less-expensive candidate hydrogen-donor solvents. Through a process of filtration and vacuum distillation, viable pitch products were produced and evaluated. Moreover, a recycle solvent was also isolated so that the overall solvent balance in the system could be maintained. The effect of variables such as gas pressure and gas atmosphere were evaluated. The pitch product was analyzed and showed low ash content, reasonable yield, good coking value and a coke with anisotropic optical texture. A unique plot of coke yield vs. pitch softening point was discovered to be independent of reaction conditions or hydrogen-donor solvent. The third area of research centered on the investigation of alternate extraction solvents and processing conditions for the solvent extraction step. A wide variety of solvents, co-solvents and enhancement additives were tested with varying degrees of success. For the extraction of raw coal, the efficacy of the alternate solvents when compared to the benchmark solvent, N-methyl pyrrolidone, was not good. However when the same coal was partially hydrogenated prior to solvent extraction, all solvents showed excellent results even for extractions performed at room temperature. Standard analyses of the extraction products indicated that they had the requisite properties of viable carbon-product precursors.

Peter G. Stansberry; Alfred H. Stiller; John W. Zondlo; Chong Chen; Brian Bland; David Fenton

2002-03-31T23:59:59.000Z

137

ARM - Measurement - Cloud droplet size  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

droplet size droplet size ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud droplet size Linear size (e.g. radius or diameter) of a cloud particle Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. Field Campaign Instruments CPI : Cloud Particle Imager CVI-AIR : Counterflow Virtual Impactor MIRAI : JAMSTEC Research Vessel Mirai PDI : Phase Doppler Interferometer UAV-PROTEUS-MICRO : Proteus Cloud Microphysics Instruments SPEC-CPI : Stratton Park Engineering Company - Cloud particle imager

138

Cloud Computing Fundamentals  

Science Journals Connector (OSTI)

In the introductory chapter we define the concept of cloud computing and cloud services, and we introduce layers and types of cloud computing. We discuss the differences between cloud computing and cloud servi...

Borko Furht

2010-01-01T23:59:59.000Z

139

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

New Method Simulates 3D Ice Crystal Growth Within Clouds New Method Simulates 3D Ice Crystal Growth Within Clouds Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Harrington JY, K Sulia, and H Morrison. 2013. "A method for adaptive habit prediction in bulk microphysical models. Part I: theoretical development." Journal of the Atmospheric Sciences, 70(2), doi:10.1175/JAS-D-12-040.1. Harrington JY, K Sulia, and H Morrison. 2013. "A method for adaptive habit prediction in bulk microphysical models. Part II: parcel model corroboration." Journal of the Atmospheric Sciences, 70(2), doi:10.1175/JAS-D-12-0152.1. A close-up of ice crystals. Ever noticed the different shapes of snowflakes sticking on the windowpane

140

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

All Mixed Up-Probing Large and Small Scale Turbulence Structures in All Mixed Up-Probing Large and Small Scale Turbulence Structures in Continental Stratocumulus Clouds Download a printable PDF Submitter: Fang, M., University of Miami Albrecht, B. A., University of Miami Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Fang M, BA Albrecht, VP Ghate, and P Kollias. 2013. "Turbulence in continental stratocumulus, Part I: External forcings and turbulence structures." Boundary-Layer Meteorology, 149(454), doi:10.1007/s10546-013-9873-3. Coherent structures of the vertical velocity (left panels) and the energy dissipation rate (right panels) in updraft region during the day (a, b), night (c, d), and for entire 16 hours (e, f) of continental stratocumulus. Continental stratocumulus clouds are frequently observed in the cold side

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Scanning Cloud Radar Observations at Azores: Preliminary 3D Cloud Products  

SciTech Connect (OSTI)

The deployment of the Scanning W-Band ARM Cloud Radar (SWACR) during the AMF campaign at Azores signals the first deployment of an ARM Facility-owned scanning cloud radar and offers a prelude for the type of 3D cloud observations that ARM will have the capability to provide at all the ARM Climate Research Facility sites by the end of 2010. The primary objective of the deployment of Scanning ARM Cloud Radars (SACRs) at the ARM Facility sites is to map continuously (operationally) the 3D structure of clouds and shallow precipitation and to provide 3D microphysical and dynamical retrievals for cloud life cycle and cloud-scale process studies. This is a challenging task, never attempted before, and requires significant research and development efforts in order to understand the radar's capabilities and limitations. At the same time, we need to look beyond the radar meteorology aspects of the challenge and ensure that the hardware and software capabilities of the new systems are utilized for the development of 3D data products that address the scientific needs of the new Atmospheric System Research (ASR) program. The SWACR observations at Azores provide a first look at such observations and the challenges associated with their analysis and interpretation. The set of scan strategies applied during the SWACR deployment and their merit is discussed. The scan strategies were adjusted for the detection of marine stratocumulus and shallow cumulus that were frequently observed at the Azores deployment. Quality control procedures for the radar reflectivity and Doppler products are presented. Finally, preliminary 3D-Active Remote Sensing of Cloud Locations (3D-ARSCL) products on a regular grid will be presented, and the challenges associated with their development discussed. In addition to data from the Azores deployment, limited data from the follow-up deployment of the SWACR at the ARM SGP site will be presented. This effort provides a blueprint for the effort required for the development of 3D cloud products from all new SACRs that the program will deploy at all fixed and mobile sites by the end of 2010.

Kollias, P.; Johnson, K.; Jo, I.; Tatarevic, A.; Giangrande, S.; Widener, K.; Bharadwaj, N.; Mead, J.

2010-03-15T23:59:59.000Z

142

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Observing Warm Clouds in 3D Using ARM Scanning Cloud Radars and a Novel Ensemble Method Download a printable PDF Submitter: Fielding, M. D., University of Reading Area of Research:...

143

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Seasonal Variation of the Physical Properties of Marine Boundary Clouds Seasonal Variation of the Physical Properties of Marine Boundary Clouds Download a printable PDF Submitter: Zhang, M., Stony Brook University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Lin W, M Zhang, and NG Loeb. 2009. "Seasonal variation of the physical properties of marine boundary layer clouds off the California coast." Journal of Climate, 22(10), doi:10.1175/2008JCLI2478.1. Image (a). Seasonal contrast of marine boundary-layer clouds between (a) summer (above) and (b) winter (below) off the California coast. Shown are cloud amount in the shaded box, cloud top and base heights and lifting condensation level (LCL) to the left, and cloud thickness and adiabatic

144

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Five-Year Statistics of Shallow Clouds at the ACRF SGP Site Five-Year Statistics of Shallow Clouds at the ACRF SGP Site Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Kassianov, E., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Berg, LK, and EI Kassianov. 2008. "Temporal variability of fair-weather cumulus statistics at the ARM SGP site." Journal of Climate 21, 3344-3358. Figure 1. Five-year mean ARSCL VAP values of cloud fraction (black), cloud-base height (orange circles), cloud-top height (red), cloud thickness (blue), and cloud-chord length (green), and their average daily bias for each year (B) and low-altitude moisture (C). While fair-weather clouds (FWC) are small in size, they are ubiquitous,

145

GEOPHYSICAL RESEARCH LETTERS, VOL. 26, NO. 10, PAGES 1417-1420, MAY 15, 1999 A Validation Survey of the ECMWF Prognostic Cloud  

E-Print Network [OSTI]

of the ECMWF Prognostic Cloud Scheme using LITE S. D. Miller,1 G. L. Stephens,1 and A. C. M. Beljaars2 Abstract the spatial and temporal variability of cloud, and Klein and Jakob [1998] extend this study to include

Stephens, Graeme L.

146

Technical Sessions Parameterization of Convective Clouds, Mesoscale...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and Convective-Generated Clouds W. R. Cotton Department of Atmospheric Science Colorado State University Fort Collins, CO 80523 This presentation is a summary of research...

147

Radiative Effects of Cloud Inhomogeneity and  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Radiative Effects of Cloud Inhomogeneity and Geometric Association Over the Tropical Western Pacific Warm Pool X. Wu National Center for Atmospheric Research (a) Boulder, Colorado...

148

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Ice Heating Up Cold Clouds Ice Heating Up Cold Clouds Download a printable PDF Submitter: Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Ovchinnikov M, A Korolev, and J Fan. 2011. "Effects of ice number concentration on dynamics of a shallow mixed-phase stratiform cloud." Journal of Geophysical Research - Atmospheres, 116, D00T06, doi:10.1029/2011JD015888. The mighty cloud ice crystal appears deceptively delicate but has the power to tip the balance between ice and water in Arctic clouds. This image of an ice crystal was obtained from a Cloud Particle Imager during ISDAC. The imager was mounted on aircraft flying through clouds at a speed of 100 m/s.

149

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Surprisingly Large Contribution of Small Marine Clouds to Cloud The Surprisingly Large Contribution of Small Marine Clouds to Cloud Fraction and Reflectance Download a printable PDF Submitter: Oreopoulos, L., NASA Feingold, G., NOAA - Earth System Research Laboratory Koren, I., Weizmann Institute of Science Remer, L., NASA - GSFC, Laboratory for Atmospheres Area of Research: Clouds with Low Optical [Water] Depths (CLOWD) Working Group(s): Cloud Properties Journal Reference: Koren, I, L Oreopoulos, G Feingold, LA Remer, and O Altaratz. 2008. "How small is a small cloud?" Atmospheric Chemistry and Physics Journal, in press Cloud mask for a sparse cumulus cloud field as inferred by using the same threshold at four different spatial resolutions. The upper-left panel is for the original Landsat resolution and the lower-right panel is for a

150

Cloud Security: Issues and Concerns Pierangela Samarati*  

E-Print Network [OSTI]

1 Cloud Security: Issues and Concerns Authors Pierangela Samarati* Università degli Studi di Milano, Italy sabrina.decapitani@unimi.it Keywords cloud security confidentiality integrity availability secure data storage and processing Summary The cloud has emerged as a successful computing paradigm

Samarati, Pierangela

151

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Improving Water Vapor Continuum Absorption and Its Impact on a GCM Improving Water Vapor Continuum Absorption and Its Impact on a GCM Simulation Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, A Merrelli, D Vimont, and EJ Mlawer. 2012. "Impact of modifying the longwave water vapor continuum absorption model on community Earth system model simulations." Journal of Geophysical Research, 117, D04106, doi:10.1029/2011JD016440. The mean difference profiles (experiment minus control) for clear-sky longwave radiative heating (QRLC); shortwave clear-sky radiative heating (QRSC); the longwave cloud radiative forcing (QRLCF); the precipitation

152

Empirical research in business process management: introduction to the special issue  

E-Print Network [OSTI]

of BPM lies in its promise to create sustainable high-performing processes that demonstrate strategicEDITORIAL Empirical research in business process management: introduction to the special issue Jan with an introduction to Business Process Management and the challenges of empirical research in this field. We

Wieringa, Roel

153

How Representative are the Cloud Regimes at the TWP Sites? … An ISCCP Perspective  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

How Representative are the Cloud Regimes at the How Representative are the Cloud Regimes at the TWP Sites? - An ISCCP Perspective C. Jakob Bureau of Meteorology Research Centre Melbourne, Australia G. Tselioudis National Aeronautic and Space Administration Goddard Institute for Space Studies Columbia University New York Introduction The Atmospheric Radiation Measurement (ARM) Program has established comprehensive cloud and radiation observatories in various locations across the globe with the aim of collecting measurements and developing models to better understand the processes that control solar and thermal infrared radiative transfer in clouds and at the surface. The locales of the individual ARM sites were chosen because they represent typical cloud regimes occurring in various climate regimes (Stokes and Schwartz

154

The DRIHM project: a flexible approach to integrate HPC, grid and cloud resources for hydro-meteorological research  

Science Journals Connector (OSTI)

The distributed research infrastructure for hydrometeorology (DRIHM) project focuses on the development of an e-Science infrastructure to provide end-to-end hydrometeorological research (HMR) services (models, data, and postprocessing tools) by exploiting ...

Daniele D'Agostino; Andrea Clematis; Antonella Galizia; Alfonso Quarati; Emanuele Danovaro; Luca Roverelli; Gabriele Zereik; Dieter Kranzlmller; Michael Schiffers; Nils gentschen Felde; Christian Straube; Olivier Caumont; Evelyne Richard; Luis Garrote; Quillon Harpham; H. R. A. Jagers; Vladimir Dimitrijevi?; Ljiljana Deki?; Elisabetta Fiorii; Fabio Delogu; Antonio Parodi

2014-11-01T23:59:59.000Z

155

GATECloud.net: a platform for large-scale, open-source text processing on the cloud  

Science Journals Connector (OSTI)

...for the researcher: load balancing, efficient data upload and storage...for the researcher: load balancing, efficient data upload and storage...for storing the job data (with the appropriate...Parallelization and (iv) Load balancing: job execution...

2013-01-01T23:59:59.000Z

156

Virtual Cloud: Rent Out the Rented Resources Sheheryar Malik  

E-Print Network [OSTI]

Virtual Cloud: Rent Out the Rented Resources Sheheryar Malik Research Team OASIS INRIA Sophia.huet@inria.fr Abstract--With the advent in cloud computing technologies, use of cloud computing infrastructure to the cloud infrastructure. Over a small period of time, it has substantiated to be an attractive choice

Boyer, Edmond

157

Research Needs and Priorities for Textile Process Electrification  

E-Print Network [OSTI]

," Final Report for RP1275-10, Electric Power Research Institute, Energy Management and Utilization Division, Industrial Applications Program, August, 1982. (5) Brandon, C. A. and Samfield, M., "Application of High-Temperature Hyperfiltration to Unit...

Hendrix, W. A.

1983-01-01T23:59:59.000Z

158

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Island-Induced Cloud Plumes Influence Tropical Atmospheric Measurements, Island-Induced Cloud Plumes Influence Tropical Atmospheric Measurements, Surface Radiation Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: McFarlane, S.A., Long, C.N., and Flynn, D., Nauru Island Effect Study, Fourteenth ARM Science Team Meeting, March 22 to 26, 2004, Albuquerque, New Mexico. Nauru Island, about 1,200 miles northeast of Papua New Guinea in the western South Pacific, is one of three instrumented island sites that comprise ARM's Tropical Western Pacific locale. A key objective of the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Program is to identify interactions between the processes that determine the radiative properties of an atmospheric column, including

159

Dynamic Cloud Infrastructure.  

E-Print Network [OSTI]

??This thesis will explore and investigate the possibility of implementing nested clouds to increase flexibility. A nested cloud is a private cloud running inside another (more)

Gundersen, Espen

2012-01-01T23:59:59.000Z

160

Securing Cloud Storage Service.  

E-Print Network [OSTI]

?? Cloud computing brought flexibility, scalability, and capital cost savings to the IT industry. As more companies turn to cloud solutions, securing cloud based services (more)

Zapolskas, Vytautas

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

A Community Atmosphere Model with Superparameterized Clouds  

SciTech Connect (OSTI)

In 1999, National Center for Atmospheric Research (NCAR) scientists Wojciech Grabowski and Piotr Smolarkiewicz created a "multiscale" atmospheric model in which the physical processes associated with clouds were represented by running a simple high-resolution model within each grid column of a lowresolution global model. In idealized experiments, they found that the multiscale model produced promising simulations of organized tropical convection, which other models had struggled to produce. Inspired by their results, Colorado State University (CSU) scientists Marat Khairoutdinov and David Randall created a multiscale version of the Community Atmosphere Model (CAM). They removed the cloud parameterizations of the CAM, and replaced them with Khairoutdinov's high-resolution cloud model. They dubbed the embedded cloud model a "super-parameterization," and the modified CAM is now called the "SP-CAM." Over the next several years, many scientists, from many institutions, have explored the ability of the SP-CAM to simulate tropical weather systems, the day-night changes of precipitation, the Asian and African monsoons, and a number of other climate processes. Cristiana Stan of the Center for Ocean-Land-Atmosphere Interactions found that the SP-CAM gives improved results when coupled to an ocean model, and follow-on studies have explored the SP-CAM's utility when used as the atmospheric component of the Community Earth System Model. Much of this research has been performed under the auspices of the Center for Multiscale Modeling of Atmospheric Processes, a National Science Foundation (NSF) Science and Technology Center for which the lead institution is CSU.

Randall, David; Branson, Mark; Wang, Minghuai; Ghan, Steven J.; Craig, Cheryl; Gettelman, A.; Edwards, Jim

2013-06-18T23:59:59.000Z

162

Evaluating regional cloud-permitting simulations of the WRF model for the Tropical Warm Pool International Cloud Experiment (TWP-ICE, Darwin 2006)  

SciTech Connect (OSTI)

Data from the Tropical Warm Pool I5 nternational Cloud Experiment (TWPICE) were used to evaluate two suites of high-resolution (4-7 km, convection-resolving) simulations of the Advanced Research Weather Research and Forecasting (WRF) model with a focus on the performance of different cloud microphysics (MP) schemes. The major difference between these two suites of simulations is with and without the reinitializing process. Whenreinitialized every three days, the four cloud MP schemes evaluated can capture the general profiles of cloud fraction, temperature, water vapor, winds, and cloud liquid and ice water content (LWC and IWC, respectively). However, compared with surface measurements of radiative and moisture fluxes and satellite retrieval of top-of-the-atmosphere (TOA) fluxes, disagreements do exist. Large discrepancies with observed LWC and IWC and derived radiative heating profiles can be attributed to both the limitations of the cloud property retrievals and model performance. The simulated precipitation also shows a wide range of uncertainty as compared with observations, which could be caused by the cloud MP schemes, complexity of land-sea configuration, and the high temporal and spatial variability. In general, our result indicates the importance of large-scale initial and lateral boundary conditions in re-producing basic features of cloudiness and its vertical structures. Based on our case study, we find overall the six-hydrometer single-moment MP scheme(WSM6) [Hong and Lim, 2006] in the WRF model si25 mulates the best agree- ment with the TWPICE observational analysis.

Wang, Yi; Long, Charles N.; Leung, Lai-Yung R.; Dudhia, Jimy; McFarlane, Sally A.; Mather, James H.; Ghan, Steven J.; Liu, Xiaodong

2009-11-05T23:59:59.000Z

163

A COMPARISON OF CLOUD MICROPHYSICAL QUANTITIES WITH FORECASTS FROM CLOUD PREDICTION MODELS  

E-Print Network [OSTI]

of the Atmospheric System Research (ASR) Program, Bethesda, MD March 15-19, 2010 Environmental Sciences Department/Atmospheric Plains (SGP) site. Cloud forecasts generated by the models are compared with cloud microphysical and radiosonde) are used to derive the cloud microphysical quantities: ice water content, liquid water content

164

Ground-based Microwave Cloud Tomography  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Microwave Cloud Tomography Microwave Cloud Tomography Experiment, SGP, May 15-June 15, 2009 Lead Scientist Dong Huang, BNL Co-Investigators Al Gasiewski, UC Boulder Maria Cadeddu, ANL Warren Wiscombe, BNL Radiation Processes Working Group March 30, 2009 multiple radiometers All good cloud radiation modelers should close their airplane window shades so as not to be corrupted by the spectacle of real 3D clouds. - Roger Davies In case you forget to do this, you see 3/30/2009 ARM RPWG 2 Effects of cloud structure on radiation 3/30/2009 ARM RPWG 3 Typical climate model - Cloud fraction & mean water content - Horizontally uniform clouds, no side radiation - Assumption on overlap Courtesy of Bernhard Mayer Cloud structure important to radiation - Cumulus (Benner & Evans 2001, Pincus et al. 2005), deep convection (DiGiuseppe &

165

Cloud Computing Ch Zh XCheng-Zhong Xu  

E-Print Network [OSTI]

1 Cloud Computing ECE7650 Ch Zh XCheng-Zhong Xu Outline What is cloud computing CharacteristicsCharacteristics (word processing and spreadsheets) Google video for business Google sites (intranet sites and wikis) "It/2010 Autonomic Cloud Management 6 #12;4 Essential Characteristics C. Xu @ Wayne State Cloud Computing 7 Essential

Xu, Cheng-Zhong

166

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Retrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Retrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Images Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Long, C. N., J. M. Sabburg, J. Calbo, and D. Pages, (2006): Retrieving Cloud Characteristics from Ground-based Daytime Color All-sky Images, JTech, 23, No. 5, 633–652. Long, C. N., J. M. Sabburg, J. Calbo, and D. Pages, (2006): Papers of Note: Retrieving Cloud Characteristics from Ground-based Daytime Color All-sky Images, BAMS, 87, No. 6, 743–744. Figure 1. Sky image (left) from 1300 LST Sept 4, 2004, and corresponding cloud decision image (right) denoting originally retrieved clear sky (blue), thin cloud (gray), and opaque cloud (white). Black denotes masked

167

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

a Cloud-Resolving Model to Identify the Role of Aerosols on Clouds a Cloud-Resolving Model to Identify the Role of Aerosols on Clouds and Precipitation Download a printable PDF Submitter: Tao, W., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Aerosol, Cloud Modeling Journal Reference: Tao, W.-K., X. Li, A. Khain, T. Matsui, S. Lang, and J. Simpson, 2007: The role of atmospheric aerosol concentration on deep convective precipitation: Cloud-resolving model simulations. J. Geophy. Res., (accepted). Zeng, X., W.-K. Tao, S. Lang, A. Y. Hou, M. Zhang, and J. Simpson, 2007: On the sensitivity of atmospheric ensemble states to cloud microphyics in long-term cloud-resolving model simulations. J. Meteor. Soc. Jpn., (submitted). Figure 1. Dirty environment (or high CCN) enhances precipitation in a

168

Edinburgh Research Explorer Quantifying the implicit process flow abstraction in SBGN-PD  

E-Print Network [OSTI]

Edinburgh Research Explorer Quantifying the implicit process flow abstraction in SBGN-PD diagrams the implicit process flow abstraction in SBGN-PD diagrams with Bio-PEPA'. in Proceedings of COMPMOD 2009. ETPCS to publication record in Edinburgh Research Explorer Published In: Proceedings of COMPMOD 2009 General rights

Millar, Andrew J.

169

Aid to Education: House Group Cites Need for More Technicians, Research on Learning Process  

Science Journals Connector (OSTI)

...technical training facilities and basic research into the learning process...least until very recently, basic research in the learning process...Universitetets Institut for Teore-tisk Fysik, Blegdamsvej 17, Copen-hagen...program in steroid biochemistry theory and tech-niques, offered...

D. S. G.

1962-02-02T23:59:59.000Z

170

Final Report - Independent Verification Survey Activities at the Seperations Process Research Unit Sites, Niskayuna, New York  

SciTech Connect (OSTI)

The Separations Process Research Unit (SPRU) complex located on the Knolls Atomic Power Laboratory (KAPL) site in Niskayuna, New York, was constructed in the late 1940s to research the chemical separation of plutonium and uranium (Figure A-1). SPRU operated as a laboratory scale research facility between February 1950 and October 1953. The research activities ceased following the successful development of the reduction oxidation and plutonium/uranium extraction processes. The oxidation and extraction processes were subsequently developed for large scale use by the Hanford and Savannah River sites (aRc 2008a). Decommissioning of the SPRU facilities began in October 1953 and continued through the 1990s.

Evan Harpenau

2011-03-15T23:59:59.000Z

171

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

New Method for Three-Dimensional Imaging of Cirrus Clouds New Method for Three-Dimensional Imaging of Cirrus Clouds Submitter: Liou, K., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Liou, K.N, S.C. Ou, Y. Takano, J. Roskovensky, G.G. Mace, K. Sassen, and M. Poellot, 2002: "Remote sensing of three-dimensional inhomogeneous cirrus clouds using satellite and mm-wave cloud radar data," Geophysical Research Letters 29(9): 1360. Figure 1 ARM Data Enables the Development and Verification of a New Method for Three-Dimensional Imaging of Cirrus Clouds to Improve Climate Predictions Cirrus clouds cover about 30% of the Earth's surface. Because ice crystals both reflect sunlight and absorb thermal energy emitted from the earth

172

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Clouds Get in the Way: How Climate Models Calculate the Effects of Clouds Clouds Get in the Way: How Climate Models Calculate the Effects of Clouds on Earth's Warming Download a printable PDF Submitter: Qian, Y., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Qian Y, CN Long, H Wang, JM Comstock, SA McFarlane, and S Xie. 2012. "Evaluation of cloud fraction and its radiative effect simulated by IPCC AR4 global models against ARM surface observations." Atmospheric Chemistry and Physics, 12(4), doi:10.5194/acp-12-1785-2012. Clouds get in the way of the dawn light, perfectly framing the Raman lidar instrument at the ARM Climate Research Facility Southern Great Plains site. This ground-based laser is a remote sensing instrument used for measuring

173

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARM M-PACE Data Used to Evaluate and Improve Arctic Mixed-Phase Clouds ARM M-PACE Data Used to Evaluate and Improve Arctic Mixed-Phase Clouds Simulated in Climate Models Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Xie, S, J Boyle, SA Klein, X Liu, and S Ghan. 2008. "Simulations of Arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE." Journal of Geophysical Research 113, D04211, doi:10.1029/2007JD009225. Time-height cross sections of active remote sensing cloud layer (ARSCL) cloud frequency (a) and modeled cloud fraction (b) CAM3, (c) AM2, and (d) CAM3LIU at Barrow during M-PACE. The unit is %. Liquid fraction as a function of cloud height. (a) UND citation data, (b)

174

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Short and the Long of Storms: Tracing a Deep Convective System's Life The Short and the Long of Storms: Tracing a Deep Convective System's Life in the Midlatitude Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Feng Z, X Dong, B Xi, S McFarlane, A Kennedy, B Lin, and P Minnis. 2012. "Life cycle of midlatitude deep convective systems in a Lagrangian framework." Journal of Geophysical Research - Atmospheres, 117(D23), D23201, doi:10.1029/2012JD018362. The life cycle of a convective system tracked by the automated tracking algorithm in the study domain. Time increases from the top left to the bottom right, and each image represents an hour. The colors represent regions given by the hybrid classification.

175

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Improving the Treatment of Radiation in Climate Models Improving the Treatment of Radiation in Climate Models Download a printable PDF Submitter: Delamere, J. S., Tech-X Corporation Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Delamere JS, SA Clough, VH Payne, EJ Mlawer, DD Turner, and RR Gamache. 2010. "A far-infrared radiative closure study in the Arctic: Application to water vapor." Journal of Geophysical Research - Atmospheres, 115, D17106, 10.1029/2009JD012968. The mean AERI-ER radiances for a select set of cloud-free cases at NSA in 2007 are presented in the top panel. The bottom panel presents mean spectral differences between the measurements and model calculations. The red line demonstrates the differences when using the pre-RHUBC version of

176

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Field Campaign Resource Allocation Using Statistical Decision Analysis Field Campaign Resource Allocation Using Statistical Decision Analysis Download a printable PDF Submitter: Hanlon, C., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Hanlon CJ, JB Stefik, AA Small, J Verlinde, and GS Young. 2013. "Statistical decision analysis for flight decision support: The SPartICus campaign." Journal of Geophysical Research - Atmospheres, , . ACCEPTED. In many atmospheric science field campaigns, investigators are budgeted some number of flight hours to collect data under specific, imperfectly forecastable atmospheric conditions. In such field campaigns, investigators must assess atmospheric conditions each day and make a resource-allocation decision: are conditions good enough to use some of our scarce flight hours

177

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Testing and Comparing the Modified Anomalous Diffraction Approximation Testing and Comparing the Modified Anomalous Diffraction Approximation Submitter: Mitchell, D. L., Desert Research Institute Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Mitchell, D.L., A.J. Baran, W.P. Arnott, C. Schmitt, 2006: Testing and comparing the anomalous diffraction approximation. J. Atmos. Sci., 63, 2948-2962. Comparison of MADA and T-matrix with measured Qext. Regions without data were contaminated by water vapor or CO2 absorption. MADA and T-matrix calculations are based on the measured PSD of hexagonal columns having an effective diameter of 14 microns. Comparison of the PSD weighted Qabs predicted by FDTD and MADA for a tunneling efficiency corresponding to aggregates. Cirrus clouds play a large role in the Earth's radiation budget and the way

178

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARM Science Applications of AERI Measurements ARM Science Applications of AERI Measurements Submitter: Smith, W. L., NASA - Langley Research Center Area of Research: Radiation Processes Working Group(s): Cloud Modeling Journal Reference: DeSlover, D. H. 1996. Analysis of Visible and Infrared Cirrus Cloud Optical Properties Using High Spectral Resolution Remote Sensing, M.S. Thesis, University of Wisconsin - Madison. Ho, S.-P. 1997. Atmospheric Profiles From Simultaneous Observations of Upwelling and Downwelling Spectral Radiance, Ph.D. Thesis, University of Wisconsin - Madison. Knuteson, R. O., F. A. Best, H. B. Howell, P. Minnett, H. E. Revercomb, W. L. Smith. 1997. "High Spectral Resolution Infrared Observations at the Ocean-Atmosphere Interface in the Tropical Western Pacific using a Marine

179

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Measured Radiative Cooling from Reflective Roofs in India Measured Radiative Cooling from Reflective Roofs in India Download a printable PDF Submitter: Fischer, M. L., Lawrence Berkeley National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Salamanca F, S Tonse, S Menon, V Garg, KP Singh, M Naja, and ML Fischer. 2012. "Top-of-atmosphere radiative cooling with white roofs: Experimental verification and model-based evaluation." Environmental Research Letters, 7(4), 044007, doi:10.1088/1748-9326/7/4/044007. True color image of light (PW1, PW2) and unpainted tar (PD1), and concrete (PD2) roofs at the Pantnagar, India site taken on October 21, 2011. We note that the concrete roof is considerably more reflective than the tar roof

180

Wind Program Manufacturing Research Advances Processes and Reduces Costs  

Broader source: Energy.gov [DOE]

Knowing that reducing the overall cost of wind energy begins on the factory floor, the Wind Program supports R&D efforts and funding opportunities that integrate new designs, materials, and advanced techniques into the manufacturing process, making wind a more affordable source of renewable energy for communities nationwide.

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Signal and Image Processing Research at the Lawrence Livermore National Laboratory  

SciTech Connect (OSTI)

Lawrence Livermore National Laboratory is a large, multidisciplinary institution that conducts fundamental and applied research in the physical sciences. Research programs at the Laboratory run the gamut from theoretical investigations, to modeling and simulation, to validation through experiment. Over the years, the Laboratory has developed a substantial research component in the areas of signal and image processing to support these activities. This paper surveys some of the current research in signal and image processing at the Laboratory. Of necessity, the paper does not delve deeply into any one research area, but an extensive citation list is provided for further study of the topics presented.

Roberts, R S; Poyneer, L A; Kegelmeyer, L M; Carrano, C J; Chambers, D H; Candy, J V

2009-06-29T23:59:59.000Z

182

Exploiting Virtualization and Cloud Computing in ATLAS  

E-Print Network [OSTI]

The ATLAS Computing Model was designed around the concept of grid computing; since the start of data-taking, this model has proven very successful in the federated operation of more than one hundred Worldwide LHC Computing Grid (WLCG) sites for offline data distribution, storage, processing and analysis. However, new paradigms in computing, namely virtualization and cloud computing, present improved strategies for managing and provisioning IT resources that could allow ATLAS to more flexibly adapt and scale its storage and processing workloads on varied underlying resources. In particular, ATLAS is developing a "grid-of-clouds" infrastructure in order to utilize WLCG sites that make resources available via a cloud API. This work will present the current status of the Virtualization and Cloud Computing R&D project in ATLAS Distributed Computing. First, strategies for deploying PanDA queues on cloud sites will be discussed, including the introduction of a "cloud factory" for managing cloud VM instances. Nex...

Barreiro Megino, FH; The ATLAS collaboration; De, K; Gable, I; Hendrix, V; Panitkin, S; Paterson, M; De Silva, A; van der Ster, D; Taylor, R; Vitillo, RA; Walker, R

2012-01-01T23:59:59.000Z

183

Cloud Computing Adam Barker  

E-Print Network [OSTI]

Cloud Computing 1 Adam Barker #12;Overview · Introduction to Cloud computing · Enabling technologies · Di erent types of cloud: IaaS, PaaS and SaaS · Cloud terminology · Interacting with a cloud: management consoles · Launching an instance · Connecting to an instance · Running your application · Clouds

St Andrews, University of

184

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A Consistency Analysis of ARESE Aircraft Measurements A Consistency Analysis of ARESE Aircraft Measurements Submitter: Li, Z., University of Maryland Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Li, Z., A.P. Trishchenko, H.W. Barker, G.L. Stephens, and P. Partain, 1999: "Analyses of Atmospheric Radiation Measurement (ARM) program's Enhanced Shortwave Experiment (ARESE) multiple data sets for studying cloud absorption," J. of Geophys. Res. 104(D16):19127-19134 Figure 1. Comparisons of TOA albedos inferred from measurements made by TSBR, GOES-8, and SSP. Two sets of GOES-based estimates are shown for an aircraft along the Egrett's flight path: one for an aircraft skimming the cloud tops (dotted lines); and another for one at 14 km (thin solid lines).

185

Knowledge Mobilization Processes During the Research Process in Two Projects: Lessons for the Leslie Harris Centre of Regional Policy and Development  

E-Print Network [OSTI]

Knowledge Mobilization Processes During the Research Process in Two Projects: Lessons......................................................................................................... 7 SECTION IV: FRAMEWORK FOR KNOWLEDGE MOBILIZATION ASSESSMENT... 10 Theoretical Framework for KMb

deYoung, Brad

186

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Y Qian, and JE Penner. 2012. "Constraining cloud lifetime effects of aerosols using A-Train satellite observations." Geophysical Research Letters, 39, L15709, doi: 10.1029...

187

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Key Contributor to Low-Level Cloud Reflectivity Submitter: Penner, J. E., University of Michigan Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference:...

188

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Kelly, JT, CC Chuang, and AS Wexler. 2007. "Influence of dust composition on cloud droplet...

189

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference:...

190

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Schween, J. H., Inst. of Geophysics and Meteorology Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference:...

191

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Xie, S., Lawrence Livermore National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Modeling Journal Reference: Xie S,...

192

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud-Aerosol-Precipitation Interactions...

193

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of Maryland Sawyer, V. R., University of Maryland Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud-Aerosol-Precipitation Interactions...

194

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Xie, S., Lawrence Livermore National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: Xie...

195

Development and Testing of a Life Cycle Model and a Parameterization of Thin Mid-level Stratiform Clouds  

SciTech Connect (OSTI)

We used a cloud-resolving model (a detailed computer model of cloud systems) to evaluate and improve the representation of clouds in global atmospheric models used for numerical weather prediction and climate modeling. We also used observations of the atmospheric state, including clouds, made at DOE's Atmospheric Radiation Measurement (ARM) Program's Climate Research Facility located in the Southern Great Plains (Kansas and Oklahoma) during Intensive Observation Periods to evaluate our detailed computer model as well as a single-column version of a global atmospheric model used for numerical weather prediction (the Global Forecast System of the NOAA National Centers for Environmental Prediction). This so-called Single-Column Modeling approach has proved to be a very effective method for testing the representation of clouds in global atmospheric models. The method relies on detailed observations of the atmospheric state, including clouds, in an atmospheric column comparable in size to a grid column used in a global atmospheric model. The required observations are made by a combination of in situ and remote sensing instruments. One of the greatest problems facing mankind at the present is climate change. Part of the problem is our limited ability to predict the regional patterns of climate change. In order to increase this ability, uncertainties in climate models must be reduced. One of the greatest of these uncertainties is the representation of clouds and cloud processes. This project, and ARM taken as a whole, has helped to improve the representation of clouds in global atmospheric models.

Krueger, Steven K.

2008-03-03T23:59:59.000Z

196

Merging Cloud and Precipitation Radar Data Provides a Better  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Merging Cloud and Precipitation Radar Data Provides a Better View of Tropical Rain Clouds For original submission and image(s), see ARM Research Highlights http:www.arm.gov...

197

Cloud Tracking in Cloud-Resolving Models  

E-Print Network [OSTI]

Cloud Tracking in Cloud-Resolving Models RMetS Conference 4th September 2007 Bob Plant Department of Meteorology, University of Reading, UK #12;Introduction Obtain life cycle statistics for clouds in CRM simulations What is the distribution of cloud lifetimes? What factors determine the lifetime of an individual

Plant, Robert

198

NOAA federal/state cooperative program in atmospheric modification research. Collected publication titles and abstracts. Technical memo  

SciTech Connect (OSTI)

The volume contains the titles and abstracts of technical publications through fiscal year 1992 that are the products of the NOAA Federal/State Cooperative Program in Atmospheric Modification Research. The program is focused on the very interdisciplinary science of purposeful cloud modification for precipitation enhancement and hail suppression, and unintentional modification of clouds and precipitation. The audience includes, for example, water managers, policy makers, scientists, practitioners in the field, and the interested public. Listed are publications on topics including but not limited to: cloud and precipitation processes, numerical cloud and atmospheric mesoscale modeling, atmospheric and storm monitoring instrumentation and technologies, aerosol transport and dispersion in clouds and over complex terrain, cloud seeding technologies and effects, agricultural responses to cloud modification, weather economics and societal aspects of cloud modification, unintentional weather and climate modification, and precipitation and hydrological assessment and forecasting.

Reinking, R.F.

1993-04-01T23:59:59.000Z

199

Cloud Security by Max Garvey  

E-Print Network [OSTI]

Cloud Security Survey by Max Garvey #12;Cloudy Cloud is Cloudy What is the cloud? On Demand Service Network access Resource pooling Elasticity of Resources Measured Service #12;Cloud Types/Variants Iaa Cloud Public Cloud Hybrid Cloud combination. Private cloud with overflow going to public cloud. #12

Tolmach, Andrew

200

CHASER: An Innovative Satellite Mission Concept to Measure the Effects of Aerosols on Clouds and Climate  

E-Print Network [OSTI]

The formation of cloud droplets on aerosol particles, technically known as the activation of cloud condensation nuclei (CCN), is the fundamental process driving the interactions of aerosols with clouds and precipitation. ...

Rosenfeld, Daniel

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Research investigations in oil shale, tar sand, coal research, advanced exploratory process technology, and advanced fuels research: Volume 1 -- Base program. Final report, October 1986--September 1993  

SciTech Connect (OSTI)

Numerous studies have been conducted in five principal areas: oil shale, tar sand, underground coal gasification, advanced process technology, and advanced fuels research. In subsequent years, underground coal gasification was broadened to be coal research, under which several research activities were conducted that related to coal processing. The most significant change occurred in 1989 when the agreement was redefined as a Base Program and a Jointly Sponsored Research Program (JSRP). Investigations were conducted under the Base Program to determine the physical and chemical properties of materials suitable for conversion to liquid and gaseous fuels, to test and evaluate processes and innovative concepts for such conversions, to monitor and determine environmental impacts related to development of commercial-sized operations, and to evaluate methods for mitigation of potential environmental impacts. This report is divided into two volumes: Volume 1 consists of 28 summaries that describe the principal research efforts conducted under the Base Program in five topic areas. Volume 2 describes tasks performed within the JSRP. Research conducted under this agreement has resulted in technology transfer of a variety of energy-related research information. A listing of related publications and presentations is given at the end of each research topic summary. More specific and detailed information is provided in the topical reports referenced in the related publications listings.

Smith, V.E.

1994-05-01T23:59:59.000Z

202

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Characterizing Mixed-Phase Clouds from the Ground: a Status Report Characterizing Mixed-Phase Clouds from the Ground: a Status Report Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Shupe, MD, JS Daniel, G De Boer, EW Eloranta, P Kollias, E Luke, CN Long, DD Turner, and J Verlinde. 2008. "A focus on mixed-phase clouds: The status of ground-based observational methods." Bulletin of the American Meteorological Society, accepted for publication in October 2008 issue. Figure 1. Retrieved cloud properties for 9 October 2004 at Barrow: (a) Multisensor cloud phase classification, (b) radar Doppler spectra cloud phase classification, (c) ice water content, (d) ice particle effective radius, (e) adiabatic liquid water content scaled to the microwave

203

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Characterizing Clouds at Arctic Atmospheric Observatories Characterizing Clouds at Arctic Atmospheric Observatories Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Shupe MD, VP Walden, E Eloranta, T Uttal, JR Campbell, SM Starkweather, and M Shiobara. 2011. "Clouds at Arctic atmospheric observatories, part I: occurrence and macrophysical properties." Journal of Applied Meteorology and Climatology, 50(3), 626-644. Shupe MD. 2011. "Clouds at Arctic atmospheric observatories, part II: thermodynamic phase characteristics." Journal of Applied Meteorology and Climatology, 50(3), 645-661. Figure 1: (a) Annual cycles of monthly mean cloud occurrence fraction at six Arctic atmospheric observatories. The average cloud fraction for all

204

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Regimes in the TWP and Their Evolution over the MJO Cloud Regimes in the TWP and Their Evolution over the MJO Download a printable PDF Submitter: Del Genio, A. D., NASA Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Chen, Y, and AD Del Genio. 2008. "Evaluation of tropical cloud regimes in observations and a general circulation model." Climate Dynamics doi:10.1007/s00382-008-0386-6. Mean highest cloud-top vertical profiles from ARSCL (solid) and ISCCP (dashed) for each ISCCP cloud regime at Manus. Relative frequency of occurrence of each cloud regime as a function of lag in pentads relative to the MJO peak for eight MJO events covering November-April of 1999-2003. Red = deep convective, orange = anvil, yellow = congestus, green = thin cirrus, blue = shallow cumulus, violet =

205

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

New Technique Successful for Measuring Thickness of Broken Clouds New Technique Successful for Measuring Thickness of Broken Clouds Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Marshak, A, Y Knyazikhin, K.D. Evans, and W.J. Wiscomb, (2004): The "RED versus NIR" Plane to Retrieve Broken-Cloud Optical Depth from Ground-Based Measurements, Journal of Atmospheric Sciences , 61, 1911-1925. In the "lookup table," vertical lines within the curves show calculated values of cloud optical depth. Observed data points show actual RED and NIR values; the cloud cover and optical depth are read from the overlaid lines. Cloud optical depth (or thickness) is a fundamental property for calculating the amount of solar radiation entering and leaving earth's

206

Towards a Characterization of Arctic Mixed-Phase Clouds  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Towards a Characterization of Arctic Mixed-Phase Clouds Towards a Characterization of Arctic Mixed-Phase Clouds Shupe, Matthew CIRES/NOAA/ETL Kollias, Pavlos Brookhaven National Laboratory Category: Cloud Properties Mixed-phase clouds play a unique role in the Arctic, where the delicate balance of phases in these clouds can have a profound impact on the surface radiation balance and various cloud-atmosphere-radiation-surface feedback processes. A better understanding of these clouds is clearly important and has been a recent objective of the ARM program. To this end, multiple sensors including radar, lidar, and temperature soundings, have been utilized in an automated cloud type classification scheme for clouds observed at the North Slope of Alaska site. The performance of this new algorithm at identifying mixed-phase cloud conditions is compared with an

207

Cloud Computing For Bioinformatics  

E-Print Network [OSTI]

Cloud Computing For Bioinformatics #12;Cloud Computing: what is it? · Cloud Computing is a distributed infrastructure where resources, software, and data are provided in an on-demand fashion. · Cloud Computing abstracts infrastructure from application. · Cloud Computing should save you time the way software

Ferrara, Katherine W.

208

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARM Measurements Validate New Satellite Multilayer Cloud Remote Sensing ARM Measurements Validate New Satellite Multilayer Cloud Remote Sensing Method Submitter: Minnis, P., NASA - Langley Research Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Huang, J., P. Minnis, B. Lin, Y. Yi, T.-F. Fan, S. Sun-Mack, and J. K. Ayers, 2006: Determination of ice water path in ice-over-water cloud systems using combined MODIS and AMSR-E measurements. Geophys. Res. Lett., 33, L21801, 10.1029/2006GL027038. Minnis, P., J. Huang, B. Lin, Y. Yi, R. F. Arduini, T.-F. Fan, J. K. Ayers, and G. G. Mace, 2007: Ice cloud properties in ice-over-water cloud systems using TRMM VIRS and TMI data. J. Geophys. Res., 112, D06206, doi:10.1029/2006JD007626. Figure 1. Comparison of the VISST and MCRS retrievals with simultaneous

209

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud-Radiation Effects on Sea Ice Loss Cloud-Radiation Effects on Sea Ice Loss Download a printable PDF Submitter: Stephens, G. L., Colorado State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Kay, JE, T L'Ecuyer, A Gettelman, G Stephens, and C O'Dell. "The contribution of cloud and radiation anomalies to the 2007 Arctic sea ice extent minimum." To appear in Geophysical Research Letters. Clouds and downwelling radiation 2007-2006 differences (June 15-Sept 15). a. Total cloud fraction differences based on radar and lidar data. b. Downwelling SW radiative flux difference. c. Downwelling LW radiative flux difference. The Western Arctic Ocean is outlined in brown. ARM ground-based radiation observations at Barrow, Alaska.

210

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

How Aerosols Affect Cloud Properties in Arctic Mixed-Phase Stratocumulus How Aerosols Affect Cloud Properties in Arctic Mixed-Phase Stratocumulus Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Jackson RC, GM McFarquhar, AV Korolev, ME Earle, PS Liu, RP Lawson, S Brooks, M Wolde, A Laskin, and M Freer. 2012. "The dependence of ice microphysics on aerosol concentration in arctic mixed-phase stratus clouds during ISDAC and M-PACE." Journal of Geophysical Research - Atmospheres, 117, D15207, doi:10.1029/2012JD017668. Cloud mean ice crystal concentration Nice(D ≥ 50 micrometers) versus mean aerosol concentration (NPCASP) above cloud for all 41 vertical profiles

211

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Minimalist Approach to Modeling Complex Arctic Clouds Minimalist Approach to Modeling Complex Arctic Clouds Download a printable PDF Submitter: Shaw, R. A., Michigan Technological University - Physics Department Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle Journal Reference: Yang F, M Ovchinnikov, and RV Shaw. 2013. "Minimalist model of ice microphysics in mixed-phase stratiform clouds." Geophysical Research Letters, 40(14), doi:10.1002/grl.50700. Nordic winter landscape. Mixed-phase stratiform clouds are common features in the Arctic environment. They contain a mix of ice and "supercooled" water that, despite the freezing temperatures, remains in liquid form. Scientists aren't sure why these clouds exist in the Arctic for long periods of time, even while steadily losing ice particles through precipitation.

212

COSMIC GPS Radio Occultation Temperature Profiles in Clouds  

Science Journals Connector (OSTI)

Thermodynamic states in clouds are closely related to physical processes such as phase changes of water and longwave and shortwave radiation. Global Positioning System (GPS) radio occultation (RO) data are not affected by clouds and have high ...

L. Lin; X. Zou; R. Anthes; Y-H. Kuo

2010-04-01T23:59:59.000Z

213

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Single-Scattering Properties of Aggregates of Plates Single-Scattering Properties of Aggregates of Plates Download a printable PDF Submitter: Um, J., University of Illinois, Urbana McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Um J and GM McFarquhar. 2009. "Single-scattering properties of aggregates of plates." Quarterly Journal Royal Meteorological Society, 135(639), 10.1002/qj.378. Aggregates of plates imaged by Cloud Particle Imager (left panel) and idealized geometry of aggregates of plates with AI=0.61 (right panel). Asymmetry parameter (g) at λ=0.55 μm of 80 different aggregates of seven 100 μm plates attached together, as functions of (a) AI, (b) 1-AR, and (c) An. The correlation coefficient and constants for a fitting equation,

214

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Scale Shows True Weight of Aerosol Effects on Clouds Scale Shows True Weight of Aerosol Effects on Clouds Download a printable PDF Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: McComiskey A and G Feingold. 2012. "The scale problem in quantifying aerosol indirect effects." Atmospheric Chemistry and Physics, 12, doi:10.5194/acp-12-1031-2012. Differing values: Values derived from aircraft and surface observations, which represent disaggregated data, differ from those derived from satellite-based data, which represent data aggregated at a range of levels. Currently, many climate change models treat the two types of data the same. Aerosols-tiny airborne particles from sources like pollution or desert

215

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Improved Accuracy in Liquid Water Path Retrievals Improved Accuracy in Liquid Water Path Retrievals Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Clouds with Low Optical [Water] Depths (CLOWD) Working Group(s): Radiative Processes Journal Reference: Turner, D.D., 2007: Improved ground-based liquid water path retrievals using a combined infrared and microwave approach. J. Geophys. Res., 112, D15204, doi:10.1029/2007JD008530. Turner, D.D., A.M. Vogelmann, R. Austin, J.C. Barnard, K. Cady-Pereira, C. Chiu, S.A. Clough, C.J. Flynn, M.M. Khaiyer, J.C. Liljegren, K. Johnson, B. Lin, C.N. Long, A. Marshak, S.Y. Matrosov, S.A. McFarlane, M.A. Miller, Q. Min, P. Minnis, W. O'Hirok, Z. Wang, and W. Wiscombe, 2007: Thin liquid water clouds: Their importance and our challenge. Bull. Amer. Meteor. Soc.,

216

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

When It Rains, It Doesn't Always Pour When It Rains, It Doesn't Always Pour Download a printable PDF Submitter: Penide, G., Laboratoire d\\\'Optique Atmospherique Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Penide G, V Kumar, A Protat, and P May. 2013. "Statistics of drop size distribution parameters and rain rates for stratiform and convective precipitation during the North Australian wet season." Monthly Weather Review, 141(9), 10.1175 /mwr-d-12-00262.1. Measurements from the Atmospheric Radiation Measurement facility at Darwin, Australia, helped scientists determine how drop size distribution and rain rates are affected by larger-scale weather patterns. Rainfall comes in a variety of forms: mist, drizzle, showers, downpours. The type and frequency of rainfall usually depends on the season and

217

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Spectrally Invariant Approximation Within Atmospheric Radiative Transfer Spectrally Invariant Approximation Within Atmospheric Radiative Transfer Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Marshak A, Y Knyazikhin, JC Chiu, and WJ Wiscombe. 2011. "Spectrally-invariant approximation within atmospheric radiative transfer." Journal of the Atmospheric Sciences, 68(12), doi:10.1175/JAS-D-11-060.1. Ratio of reflectance Rλ plus transmittance Tλ over single scattering albedo ω0λ plotted against the sum Rλ+Tλ for two cloud optical depths: 5 and 10. The aerosol optical depth at 0.55 μm is 0.2 (rural type of aerosol). Different dots correspond to different wavelengths from 0.4 to

218

Clouds, Aerosols and Precipitation in  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the Marine Boundary Layer (CAP-MBL) Graciosa Island, Azores, NE Atlantic Ocean Graciosa Island, Azores, NE Atlantic Ocean May 2009-December 2010 May 2009-December 2010 Rob Wood, University of Washington Rob Wood, University of Washington AMF Deployment Team Thanks to Mark Miller: AMF Site Scientist Mark Miller: AMF Site Scientist Kim Nitschke: AMF Site Manager CAP-MBL Proposal Team Importance of Low-Clouds for Climate Imperative that we understand the processes controlling the formation, maintenance and dissipation of low clouds in order to formation, maintenance and dissipation of low clouds in order to improve their representation in climate models. Which clouds matter for climate sensitivity? Cli t F db k

219

Nailing Down Ice in a Cloud Model  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Nailing Down Ice in a Cloud Model Nailing Down Ice in a Cloud Model For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight A research team led by scientists at Pacific Northwest National Laboratory identified specific strengths and weaknesses of four different ice cloud retrieval algorithms. Their comparisons tested the ability of the algorithms to obtain cloud properties from radar and lidar observational measurements. The team noted the sometimes large variances in heating/cooling measurements compared to the observed data. Identifying specific weaknesses will help scientists improve our understanding of cloud properties in the atmosphere, which can be used for climate model development and evaluation. "Measuring the effective size and mass of ice crystals impacts our understanding

220

A Quality-aware Federated Framework for Smart Mobile Applications in the Cloud  

Science Journals Connector (OSTI)

Abstract Mobile Cloud Computing is an active research domain to investigate the ways of achieving a federation between mobile computing and cloud computing. Whereas, Ambient Intelligence aims to teach our mobile devices how to behave smart in our environment, narrowing the gap between people, their devices and the environment. These two domains behave as backbone for ubiquitous environment around us where everything is connected by sharing information and resources. Mobile devices use cloud resources to cope with ever-growing computing and storage demands for smart applications. Context provisioning in the cloud and mobile connectivity will give rise to new interactions with cloud infrastructure to effectively manage context information. However, as a lot of contextual information is being sensed and captured by mobile devices, it is not always clear whether it makes sense to upload all the raw sensed data to the cloud and have it processed there. Many resource and performance trade-offs exist for federated deployment of smart mobile applications. In this paper, we present a quality-aware federated framework to overcome the challenges for smart applications and to support the development and deployment of these applications, while opportunistically using cloud computing. The framework highlights the aspects of Quality-of-Context (QoC) provisioning and dynamic adaptability under uncertain context.

Nayyab Zia Naqvi; Davy Preuveneers; Yolande Berbers

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Cloud Computing og availability  

E-Print Network [OSTI]

Cloud Computing og availability Projekt i pålidelighed Henrik Lavdal - 20010210 Søren Bardino Kaa - 20011654 Gruppe 8 19-03-2010 #12;Cloud Computing og availability Side 2 af 28 Indholdsfortegnelse ...........................................................................................5 Cloud computing

Christensen, Henrik Bærbak

222

Federal Cloud Computing: The Definitive Guide for Cloud Service Providers  

Science Journals Connector (OSTI)

Federal Cloud Computing: The Definitive Guide for Cloud Service Providers offers an in-depth look at topics surrounding federal cloud computing within the federal government, including the Federal Cloud Computing Strategy, Cloud Computing Standards, ...

Matthew Metheny

2012-12-01T23:59:59.000Z

223

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A New Method for Satellite/Surface Comparisons A New Method for Satellite/Surface Comparisons Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Properties, Radiative Processes Journal Reference: Zhang Y, CN Long, WB Rossow, and EG Dutton. 2010. "Exploiting diurnal variations to evaluate the ISCCP-FD flux calculations and radiative-flux-analysis-processed surface observations from BSRN, ARM, and SURFRAD." Journal of Geophysical Research - Atmospheres, 115, D00K11, 10.1029/2009JD012812. Figure 1: Scatter plot for the column aerosol optical depth (AOD) at 550 nm, measured at the surface (PSO) and used as input for the ISCCP-FD calculations (FD) at 10 ARM/SURFRAD/BSRN stations. The robust linear regression line is also shown.

224

On Demand Surveillance Service in Vehicular Cloud  

E-Print Network [OSTI]

Toward Vehicular Service Cloud . . . . . . . . . . . . . . .4.2 Open Mobile Cloud Requirement . . . . .3.1 Mobile Cloud

Weng, Jui-Ting

2013-01-01T23:59:59.000Z

225

Thermochemical Process Development Unit: Researching Fuels from Biomass, Bioenergy Technologies (Fact Sheet)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Highlights Highlights Thermochemical conversion technologies convert biomass and its residues to fuels and chemicals using gasification and pyrolysis. Gasification entails heating biomass and results in a mixture of carbon monoxide and hydrogen, known as syngas. Pyrolysis, which is heating biomass in the absence of oxygen, produces liquid pyrolysis oil. Both syngas and pyrolysis oil can be chemically converted into clean, renewable transportation fuels and chemicals. The Thermochemical Process Development Unit (TCPDU) at the National Renewable Energy Laboratory (NREL) is a unique facility dedicated to researching thermochemical processes to produce fuels from biomass. Thermochemical processes include gasification and pyrolysis-processes used to convert

226

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Continuous Dataset of Water Vapor Measurements Throws Water on Assumptions Continuous Dataset of Water Vapor Measurements Throws Water on Assumptions of Cirrus Cloud Formation Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Comstock, J. M., T. P. Ackerman, and D. D. Turner, 2004: Evidence of high ice supersaturation in cirrus clouds using ARM Raman lidar measurements. Geophys. Res. Letters, doi:10.1029/2004GL019705. To illustrate their findings, a continuous nine-hour segment of Raman lidar measurements showed upper tropospheric RHI measurements ranging from 120% near cloud tops and decreasing to about 70% at cloud base. To study the link between water vapor, cirrus cloud formation (homogenous and heterogenous) mechanisms, and their potential climatic impacts,

227

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Validation of CERES-MODIS Cloud Properties Using ARM Data Validation of CERES-MODIS Cloud Properties Using ARM Data Submitter: Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Dong, X., P. Minnis, B. Xi, S. Sun-Mack, and Y. Chen, 2007: Validation of CERES-MODIS stratus cloud properties using ground-based measurements at the DOE ARM SGP site. Accepted by J. Geophys. Res. Wielicki, B. A. and Co-authors (2000), CERES Validation Plan Overview, Release 4, 10/20/00, 58 pp. (Available at http://asd-www.larc.nasa.gov/ceres/validation/ ceresval_r4.0_over.pdf) Figure 1. Time series of surface-derived cloud-base and -top heights and temperatures (1-hour average) and matched MODIS-derived effective cloud heights and temperatures (30-km x 30-km box) for daytime single-layer and

228

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Tropical Clouds: from Jekyll to Hyde Tropical Clouds: from Jekyll to Hyde Submitter: Hagos, S. M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Hagos SM and R Leung. 2012. "Large-scale environmental variables and transition to deep convection in cloud resolving model simulations: A vector representation." Journal of Advances in Modeling Earth Systems, 4(M11001), 2012MS000155, doi:10.1029/2012MS000155. The relationship between the mean 400hPa heating (Khr-1437 ) at time = 0 and the projection onto the favorable large-scale moisture profile at time = -1 hr. From Jekyll to Hyde, this anvil cloud is an example of tropical clouds that evolve from fair-weather to stormy. Scientists at PNNL used observational

229

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Profiling Capability of High-Resolution Oxygen A-band Spectroscopy for Profiling Capability of High-Resolution Oxygen A-band Spectroscopy for Stratus Cloud Cover Submitter: Davis, A. B., Jet Propulsion Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Davis AB, IN Polonsky, and A Marshak. 2009. Space-Time Green Functions for Diffusive Radiation Transport, in Application to Active and Passive Cloud Probing. In Light Scattering Reviews, Volume 4, pp. 169-292. Ed. by A.A. Kohkanovsky, Heidelberg, Germany: Springer. Transmission: (a) Ratio of mean path Τ to cloud thickness Η times (1-g)τ plotted versus cosine of SZA μ0 and cloud optical depth τ; asymmetry factor g was set to 0.85, then delta-rescaled to 0.46. Given this ratio (>1/2) and Η or τ, one can infer the other cloud parameter.

230

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

To Rain or Not to Rain...Aerosols May Be the Answer To Rain or Not to Rain...Aerosols May Be the Answer Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Niu F and Z Li. 2012. "Systematic variations of cloud top temperature and precipitation rate with aerosols over the global tropics." Atmospheric Chemistry and Physics, 12, doi:10.5194/acp-12-8491-2012. Cloud-top temperature (A, C) and ice water path (B, D) as functions of AI/AOT for warm (blue dots) and cold (red dots) base mixed-phase clouds and liquid clouds (green dots) over the ocean (upper panels) and land (lower panels). The right-hand axes of (A) and (C) are for liquid clouds. Precipitation rate as a function of AI for mixed-phase (blue dots) and

231

DEVELOPMENT OF IMPROVED TECHNIQUES FOR SATELLITE REMOTE SENSING OF CLOUDS AND RADIATION USING ARM DATA, FINAL REPORT  

SciTech Connect (OSTI)

During the period, March 1997 February 2006, the Principal Investigator and his research team co-authored 47 peer-reviewed papers and presented, at least, 138 papers at conferences, meetings, and workshops that were supported either in whole or in part by this agreement. We developed a state-of-the-art satellite cloud processing system that generates cloud properties over the Atmospheric Radiation (ARM) surface sites and surrounding domains in near-real time and outputs the results on the world wide web in image and digital formats. When the products are quality controlled, they are sent to the ARM archive for further dissemination. These products and raw satellite images can be accessed at http://cloudsgate2.larc.nasa.gov/cgi-bin/site/showdoc?docid=4&cmd=field-experiment-homepage&exp=ARM and are used by many in the ARM science community. The algorithms used in this system to generate cloud properties were validated and improved by the research conducted under this agreement. The team supported, at least, 11 ARM-related or supported field experiments by providing near-real time satellite imagery, cloud products, model results, and interactive analyses for mission planning, execution, and post-experiment scientific analyses. Comparisons of cloud properties derived from satellite, aircraft, and surface measurements were used to evaluate uncertainties in the cloud properties. Multiple-angle satellite retrievals were used to determine the influence of cloud structural and microphysical properties on the exiting radiation field.

Minnis, Patrick [NASA Langley Research Center, Hampton, VA

2013-06-28T23:59:59.000Z

232

Smoking Rain Clouds over the Amazon  

Science Journals Connector (OSTI)

...processes affect the water cycle, the pollution...the dynamics of atmospheric circulation. Several...concentrations of cloud condensation nuclei (CCN) in the...transport cloud water in deep convection...concentrations result in recovery of drop size. However...background. Stronger atmospheric instability and a...

M. O. Andreae; D. Rosenfeld; P. Artaxo; A. A. Costa; G. P. Frank; K. M. Longo; M. A. F. Silva-Dias

2004-02-27T23:59:59.000Z

233

2, 20952131, 2002 Below-cloud aerosol  

E-Print Network [OSTI]

). In addition, the understanding of wet removal processes remains crucial in local and regional pollutionACPD 2, 2095­2131, 2002 Below-cloud aerosol removal C. Andronache Title Page Abstract Introduction-cloud aerosol removal by rainfall for observed aerosol size distributions C. Andronache Boston College, Chestnut

Paris-Sud XI, Université de

234

Evaluation of Cloud Type Occurrences and Radiative Forcings Simulated by a Cloud Resolving Model Using Observations from Sa...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Type Occurrences Cloud Type Occurrences and Radiative Forcings Simulated by a Cloud Resolving Model Using Observations from Satellite and Cloud Radar Y. Luo and S. K. Krueger University of Utah Salt Lake City, Utah Introduction Because of both the various effects clouds exert on the earth-atmospheric system and the cloud feedback, correct representations of clouds in numerical models are critical for accurate climate modeling and weather forecast. Unfortunately, determination of clouds and their radiative feedback processes is still the weakest component of current general circulation models (e.g., Senior and Mitchell 1993, Cess et al. 1996). Using radiative fluxes at the top of atmosphere (TOA) available from satellite observations made by the Earth Radiation Budget Experiment (ERBE; Barkstrom 1984), one could assess cloud radiative effects

235

Marine Stratocumulus Clouds: Turbulence-Raidation- Thermodynamics...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Research Highlight Vast sheets of stratocumulus clouds are present over the eastern Pacific Ocean, off the coast of California to the north and off the coast of Chile and...

236

Cloud Computing For Bioinformatics  

E-Print Network [OSTI]

Cloud Computing For Bioinformatics EC2 and AMIs #12;Quick-starting an EC2 instance (let's get our feet wet!) Cloud Computing #12;Cloud Computing: EC2 instance Quick Start · On EC2 console, we can click on Launch Instance · This will let us get up and going quickly #12;Cloud Computing: EC2 instance

Ferrara, Katherine W.

237

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Strong Impacts of Vertical Velocity on Cloud Microphysics and Implications Strong Impacts of Vertical Velocity on Cloud Microphysics and Implications for Aerosol Indirect Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Lu, C., Brookhaven National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Lu C, Y Liu, S Niu, and AM Vogelmann. 2012. "Observed impacts of vertical velocity on cloud microphysics and implications for aerosol indirect effects." Geophysical Research Letters, 39, L21808, doi:10.1029/2012GL053599. Joint probability density functions (PDF) of relative dispersion (ε) versus vertical velocity (w) along horizontal aircraft legs for each cumulus flight (date given in legend). The red lines denote weighted least

238

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Vertical Variation of Cloud Droplet Size Using Ship and Space-borne R/S Vertical Variation of Cloud Droplet Size Using Ship and Space-borne R/S Data Download a printable PDF Submitter: Li, Z., University of Maryland Chen, R., University of Maryland Wood, R., University of Washington Chang, F., Science Systems and Applications, Inc. Ferraro, R., NOAA/NESDIS, WWBG Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Chen, R, R Wood, Z Li, R Ferraro, and F Chang. 2008. "Studying the vertical variation of cloud droplet effective radius using ship and space-borne remote sensing data." Journal of Geophysical Research 113, doi:10.1029/2007JD009596. Figure 1. Coincident images of C-band radar reflectivity and MODIS cloud profile at UTC 15:55, Oct. 18, 2001. a) RHB C-band radar reflectivity

239

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

CCN and Vertical Velocity Influences CCN and Vertical Velocity Influences Submitter: Hudson, J. G., Desert Research Institute Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Hudson JG and S Noble. 2013. "CCN and vertical velocity influences on droplet concentrations and supersaturations in clean and polluted stratus clouds." Journal of the Atmospheric Sciences, , . ACCEPTED. Figure 1. Effective cloud supersaturation (Seff) against CCN concentration at 1% S (N1%) for horizontal cloud penetrations, 50 for MASE and 34 for POST. Seff is the S for which nearby below cloud CCN spectra, NCCN(S), equals mean droplet concentration (Nc). Figure 2. One second droplet concentration, Nc, and vertical velocity

240

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Desert Dust Determines Aerial Spread of Thunderstorm Clouds Desert Dust Determines Aerial Spread of Thunderstorm Clouds Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Zeng X, W Tao, SW Powell, RA Houze, P Ciesielski, N Guy, H Pierce, and T Matsui. 2013. "A comparison of the water budgets between clouds from AMMA and TWP-ICE." Journal of the Atmospheric Sciences, 70(2), doi:10.1175/JAS-D-12-050.1. The sun, seen through a dusty atmosphere, sets at Niamey, the capital of Niger, which is located in the African Sahara. Anvil clouds that accompany thunderstorms. Contrasts often provide unique perspectives, and scientists seize any such opportunity-when it arises. In a new research paper, published in the Journal of Atmospheric Sciences,

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Making Time-stepped Applications Tick in the Cloud  

E-Print Network [OSTI]

Making Time-stepped Applications Tick in the Cloud Tao Zou, Guozhang Wang, Marcos Vaz Salles · Iterative Graph Processing · Matrix Computation #12;Why Run Scientific Applications in the Cloud? · Elasticity · Cost Saving · Instant Availability 9 Avoid jobs queuing for days #12;What Does Cloud

Keinan, Alon

242

Research Input Form  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

HighlightsSubmit HighlightsSubmit Form Submit a New Research Highlight Sort Highlights Submitter Title Research Area Working Group Submission Date DOE Progress Reports Notable Research Findings for 2001-2006 Biological and Environmental Research Abstracts Database Research Highlights Summaries Research Highlight Submittal Form Tell us about your research! This form is designed to collect summary information about working group research results. If you have any questions or comments, please contact the administrators. Journal or Book Reference(s) (if applicable): Look Up Your reference from the Publications Database. Limit two references. If you have not submitted the references, please Add it now. Area of Research: Radiation Processes Cloud Distributions/Characterizations Surface Properties General Circulation and Single Column

243

Statistical representation of clouds in climate models  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

novel approach for representing novel approach for representing ice microphysics in bin and bulk schemes: Application to TWP-ICE deep convection Hugh Morrison and Wojciech Grabowski National Center for Atmospheric Research ARM STM, Monday, April 1, 2009 -1) Uncertainty of ice initiation processes -2) Wide range of ice particle characteristics (e.g., shape, effective density) -3) No clear separation of physical processes for small and large crystals The treatment of ice microphysics has a large impact on model simulations, e.g., precipitation, interactions with dynamics, radiation, etc. However, it is complicated by: Pristine ice crystals, grown by diffusion of water vapor Snowflakes, grown by aggregation Pruppacher and Klett Rimed ice crystals (accretion of supercooled cloud water) Graupel (heavily

244

Analyzing Massive Machine Maintenance Data in a Computing Cloud  

Science Journals Connector (OSTI)

We present a novel framework, CloudView, for storage, processing and analysis of massive machine maintenance data, collected from a large number of sensors embedded in industrial machines, in a cloud computing environment. This paper describes the architecture, ... Keywords: Sensors,Real time systems,Data analysis,Reliability,Cloud computing,Wind turbines,Maintenance engineering,MapReduce,Fault prediction,machine data analysis,case-based reasoning,cloud computing,Hadoop

Arshdeep Bahga; Vijay K. Madisetti

2012-10-01T23:59:59.000Z

245

NDE research focuses on questions such as: How do fabrication, growth, andlor processing  

E-Print Network [OSTI]

NDE research focuses on questions such as: How do fabrication, growth, andlor processing contribute-structural properties affect overall thermal, mechanical, electrical, and optical behavior? WILLIAM & MARY NDE Nondestructive Evaluation (NDE) is an interdisciplinary field of study that is concerned with the development

Lewis, Robert Michael

246

Collaborative Research: ARM observations for the development and evaluation of models and parameterizations of cloudy boundary layers  

SciTech Connect (OSTI)

This is a collaborative project with Dr. Ping Zhu at Florida International University. It was designed to address key issues regarding the treatment of boundary layer cloud processes in climate models with UMs research focusing on the analyses of ARM cloud radar observations from MMCR and WACR and FIUs research focusing on numerical simulations of boundary layer clouds. This project capitalized on recent advancements in the ARM Millimeter Cloud Radar (MMCR) processing and the development of the WACR (at the SGP) to provide high temporal and spatial resolution Doppler cloud radar measurements for characterizing in-cloud turbulence, large-eddy circulations, and high resolution cloud structures of direct relevance to high resolution numerical modeling studies. The principal focus of the observational component of this collaborative study during this funding period was on stratocumulus clouds over the SGP site and fair-weather cumuli over the Nauru site. The statistical descriptions of the vertical velocity structures in continental stratocumulus clouds and in the Nauru shallow cumuli that are part of this study represents the most comprehensive observations of the vertical velocities in boundary layer clouds to date and were done in collaboration with Drs. Virendra Ghate and Pavlos Kollias.

Albrecht, Bruce,

2013-07-12T23:59:59.000Z

247

You are here: OUP USA Home > U.S. General Catalog > Atmospheric Science > Climatology Radiation and Cloud Processes in the Atmosphere  

E-Print Network [OSTI]

You are here: OUP USA Home > U.S. General Catalog > Atmospheric Science > Climatology Radiation and long-range levels. The author here offers a systematic discussion of the transfer of solar and thermal important topics in atmospheric radiation, cloud physics, and thermal equilibrium. Aspects

Liou, K. N.

248

ARM Cloud Aerosol Precipitation Experiment  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Satellite Observation CAS Cloud Aerosol Spectrometer CCN Cloud Condensation Nuclei CIP Cloud Imaging Probe CPC Condensation Particle Counter CSPHOT Cimel sunphotometer CVI...

249

SURFACE CLOUD RADIATIVE FORCING, CLOUD FRACTION AND CLOUD ALBEDO: THEIR RELATIONSHIP AND MULTISCALE VARIATION  

E-Print Network [OSTI]

SURFACE CLOUD RADIATIVE FORCING, CLOUD FRACTION AND CLOUD ALBEDO: THEIR RELATIONSHIP AND MULTISCALE/Atmospheric Sciences Division Brookhaven National Laboratory P.O. Box, Upton, NY www.bnl.gov ABSTRACT Cloud-induced climate change. Cloud-radiative forcing, cloud fraction, and cloud albedo are three key quantities

250

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARM Measurements Help to Evaluate Radiation Codes Used in Global Modeling ARM Measurements Help to Evaluate Radiation Codes Used in Global Modeling Download a printable PDF Submitter: Oreopoulos, L., NASA Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Oreopoulos L, E Mlawer, J Delamere, T Shippert, J Cole, B Fomin, M Iacono, Z Jin, J Li, J Manners, P Raisanen, F Rose, Y Zhang, MJ Wilson, and WB Rossow. 2012. "The Continual Intercomparison of Radiation Codes: results from Phase I." Journal of Geophysical Research - Atmospheres, 117, doi:10.1029/2011JD016821. The total error of each participating radiation code for all LW (left) and SW (right) cases in the CIRC intercomparison. The identity of each participating code can be found in the paper; codes built due to ARM

251

Overview of Fiscal Year 2002 Research and Development for Savannah River Site's Salt Waste Processing Facility  

SciTech Connect (OSTI)

The Department of Energy's (DOE) Savannah River Site (SRS) high-level waste program is responsible for storage, treatment, and immobilization of high-level waste for disposal. The Salt Processing Program (SPP) is the salt (soluble) waste treatment portion of the SRS high-level waste effort. The overall SPP encompasses the selection, design, construction and operation of treatment technologies to prepare the salt waste feed material for the site's grout facility (Saltstone) and vitrification facility (Defense Waste Processing Facility). Major constituents that must be removed from the salt waste and sent as feed to Defense Waste Processing Facility include actinides, strontium, cesium, and entrained sludge. In fiscal year 2002 (FY02), research and development (R&D) on the actinide and strontium removal and Caustic-Side Solvent Extraction (CSSX) processes transitioned from technology development for baseline process selection to providing input for conceptual design of the Salt Waste Processing Facility. The SPP R&D focused on advancing the technical maturity, risk reduction, engineering development, and design support for DOE's engineering, procurement, and construction (EPC) contractors for the Salt Waste Processing Facility. Thus, R&D in FY02 addressed the areas of actual waste performance, process chemistry, engineering tests of equipment, and chemical and physical properties relevant to safety. All of the testing, studies, and reports were summarized and provided to the DOE to support the Salt Waste Processing Facility, which began conceptual design in September 2002.

H. D. Harmon, R. Leugemors, PNNL; S. Fink, M. Thompson, D. Walker, WSRC; P. Suggs, W. D. Clark, Jr

2003-02-26T23:59:59.000Z

252

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Evaluation of a New Mixed-Phase Cloud Microphysics Parameterization with Evaluation of a New Mixed-Phase Cloud Microphysics Parameterization with SCAM, CAPT Forecasts and M-PACE Observations Download a printable PDF Submitter: Liu, X., University of Wyoming Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Liu, X, S Xie, and SJ Ghan. 2007. "Evaluation of a new mixed-Phase cloud microphysics parameterization with the NCAR single column climate model (SCAM) and ARM M-PACE observations." Geophysical Research Letters 34, L23712, doi:10.1029/2007GL031446. Xie, S, J Boyle, SA Klein, X Liu and S Ghan. 2008. "Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE." Journal of Geophysical Research, in press.

253

Interactive physically-based cloud simulation  

E-Print Network [OSTI]

computational fluid solver. This allows us to simulate the complex air motion that contributes to cloud formation in our atmosphere. Among the natural processes that we simulate are buoyancy, relative humidity, and condensation. Because we have built...

Overby, Derek Robert

2012-06-07T23:59:59.000Z

254

First Observations of Tracking Clouds Using Scanning ARM Cloud Radars  

Science Journals Connector (OSTI)

Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large-drop formation (weather radar first echo). These measurements also complement cloud and precipitation tracking using ...

Paloma Borque; Pavlos Kollias; Scott Giangrande

2014-12-01T23:59:59.000Z

255

ARM - Field Campaign - Boundary Layer Cloud IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsBoundary Layer Cloud IOP govCampaignsBoundary Layer Cloud IOP Campaign Links Campaign Images Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Boundary Layer Cloud IOP 2005.07.11 - 2005.08.07 Lead Scientist : William Shaw For data sets, see below. Description Investigators from Pacific Northwest National Laboratory, in collaboration with scientists from a number of other institutions, carried out a month of intensive measurements at the ARM Climate Research Facility on the North Slope of Alaska in the summer of 2005. The purpose of these measurements was to determine how much the arctic land surface modifies the way low clouds reflect, absorb, and transmit solar and infrared radiation. This is an important problem because arctic clouds play a prominent role in

256

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Power in the Vertical: Using Wind Profiler Data to Study Precipitation Power in the Vertical: Using Wind Profiler Data to Study Precipitation Download a printable PDF Submitter: Kollias, P., McGill University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Tridon F, A Battaglia, P Kollias, E Luke, and C Williams. 2013. "Signal post-processing and reflectivity calibration of the Atmospheric Radiation Measurement Program 915 MHz wind profilers." Journal of Atmospheric and Oceanic Technology, 30(6), doi:10.1175/JTECH-D-12-00146.1. Because ARM's wind profilers (foreground) can take vertical as well as horizontal measurements, the instruments can be used with appropriate processing and calibration to help study rainfall. For more than two decades, radar wind profilers of the U.S. Department of

257

STUDY OF CLOUD LIFETIME EFFECTS USING THE SGP HETEROGENEOUS DISTRIBUTED RADAR NETWORK: PRELIMINARY CONSIDERATIONS  

E-Print Network [OSTI]

STUDY OF CLOUD LIFETIME EFFECTS USING THE SGP HETEROGENEOUS DISTRIBUTED RADAR NETWORK: PRELIMINARY-dimensional morphology and life cycle of clouds. Detailing key cloud processes as they transit from the formation stage to precipitation onset and cloud dissipation is critical towards establishing uncertainties in climate models

258

Automated solar cell assembly teamed process research. Semiannual subcontract report, December 6, 1993--June 30, 1994  

SciTech Connect (OSTI)

This is the second Semiannual Technical Progress Report for the program titled `Automated Solar Cell Assembly Teamed Process Research` funded under National Renewable Energy Laboratory (NREL) subcontract No. ZAG-3-11219-01. This report describes the work done on Phase II of the program in the period from December 6, 1993 to June 30, 1994. Spire`s objective in this program is to develop high throughput (5 MW/yr) automated processes for interconnecting thin (200 {mu}m) silicon solar cells. High yield will be achieved with these fragile cells through the development of low mechanical stress and low thermal stress processes. For example, a machine vision system is being developed for cell alignment without mechanically contacting the cell edges, while a new soldering process is being developed to solder metal interconnect ribbons simultaneously to a cells` front and back contacts, eliminating one of the two heating steps normally used for soldering each cell.

Nowlan, M. [Spire Corp., Bedford, MA (United States)

1995-01-01T23:59:59.000Z

259

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Simulating the Impact of Aerosols on Tropical Deep Convection Simulating the Impact of Aerosols on Tropical Deep Convection Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Morrison H and WW Grabowski. 2011. "Cloud-system resolving model simulations of aerosol indirect effects on tropical deep convection and its thermodynamic environment." Atmospheric Chemistry and Physics, 11(20), doi:10.5194/acp-11-10503-201. Profiles of ensemble- and horizontally averaged a) cloud water mixing ratio, b) rain mixing ratio, c) ice mixing ratio, d) cloud droplet concentration, e) rain number concentration, and f) ice number concentration, Ni, for pristine (blue), polluted (green), and highly

260

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Using Copulas to Model Complex Clouds Using Copulas to Model Complex Clouds Download a printable PDF Submitter: Oreopoulos, L., NASA Norris, P. M., NASA - GMAO/UMBC - GEST Hou, A., NASA - Goddard Space Flight Center Tao, W., NASA - Goddard Space Flight Center Zeng, X., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Norris PM, L Oreopoulos, AY Hou, WK Tao, and X Zeng. 2008. "Representation of 3D heterogeneous cloud fields using copulas: Theory for water clouds." Quarterly Journal Royal Meteorological Society, 134(636), doi:10.1002/qj.321. Contours containing (brown-80%, orange-60%, cyan-40%, and blue-20%) of the joint inter-layer S probability, such that the probability densities within each contour are larger than those outside. Thick contours are from the GCE

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Out with the Old, in with the New: McICA to Replace Traditional Cloud Out with the Old, in with the New: McICA to Replace Traditional Cloud Overlap Assumptions Submitter: Pincus, R., NOAA - CIRES Climate Diagnostics Center Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Modeling Journal Reference: Pincus, R., R. Hemler, and S.A. Klein, 2006: Using Stochastically Generated Subcolumns to Represent Cloud Structure in a Large-Scale Model. Mon. Wea. Rev., 134, 3644-3656. As shown by the difference between the two panels, the standard way (AM2, top panel) of mixing solar reflection and transmission differs systematically from the Independent Column Approximation approach. Because cloud-radiation interactions depend critically on the vertical amount of clouds, different assumptions about how this alignment occurs

262

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Addressing the "Light Precipitation Problem" in the ECMWF Global Model Addressing the "Light Precipitation Problem" in the ECMWF Global Model Download a printable PDF Submitter: Ahlgrimm, M., European Centre for Medium-Range Weather Forecasts Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Ahlgrimm M and R Forbes. 2013. "Improving the representation of low clouds and drizzle in the ECMWF model based on ARM observations from the Azores." Monthly Weather Review, , . ACCEPTED. Monthly mean cloud and precipitation occurrence from observations (red), the control version of the single column model (green) and the SCM experiment (blue). (a) Total cloud occurrence. (b) Low cloud (solid) and deep boundary layer (dashed) cloud occurrence. (c) Precipitation occurrence

263

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Improved Simulation of Boundary Layer Clouds Improved Simulation of Boundary Layer Clouds Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1. Comparison of Boundary Layer Clouds Schemes in Climate Models with Satellite Observations Key Contributors: James McCaa, as part of his Ph.D. dissertation at University of Washington Chris Bretherton, University of Washington Dennis Hartmann, University of Washington Steven Ghan, Pacific Northwest National Laboratory Marine boundary layer clouds are among the most difficult clouds to represent in climate models. A team of atmospheric scientists from the University of Washington (UW) and the Pacific Northwest National Laboratory

264

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Sub-Grid Scale Cloud Variability Affects Vertical Structure of Clouds and Sub-Grid Scale Cloud Variability Affects Vertical Structure of Clouds and Radiative Heating Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: McFarlane, S. A., J. H. Mather, and T. P. Ackerman (2007), Analysis of tropical radiative heating profiles: A comparison of models and observations, J. Geophys. Res., 112, D14218, doi:10.1029/2006JD008290. Comparison of the distributions of cloud condensate for the ACRF TWP site at Manus using a) retrievals from the ACRF remote sensors, b) the CAM, c) all MMF columns, and d) MMF columns that do not contain precipitation. Note that the ARM observations do not include precipitation. Each panel consists

265

ARM - Research Highlights  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

CenterResearch Highlights CenterResearch Highlights Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance Research Highlights Research Highlights Archive » Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate Jan 07, 2014 Predicting how atmospheric aerosols influence cloud formation and the resulting feedback to climate is a challenge that limits the accuracy of atmospheric models. This is especially true in the Arctic, where mixed-phase (both ice- and liquid-based) clouds are frequently observed, but the processes that determine their composition are poorly understood. To obtain a closer look [...]

266

ARM - Measurement - Cloud fraction  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud fraction Fraction of sky covered by clouds, observed directly or derived from SW...

267

ARM - Measurement - Cloud size  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud size Information about the physical dimensions of a cloud, including such measurements...

268

North Australian Cloud Lines  

Science Journals Connector (OSTI)

A satellite classification and climatology of propagating mesoscale cloud fines in northern Australia is presented. These cloud fines range from long, narrow lines of shallow convection to extensive deep convective squall lines with mesoscale ...

W. Drosdowsky; G. J. Holland

1987-11-01T23:59:59.000Z

269

ARM - Publications: Science Team Meeting Documents: Cloud Radiative Forcing  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Radiative Forcing at the ARM Climate Research Facility: Part 2. The Cloud Radiative Forcing at the ARM Climate Research Facility: Part 2. The Vertical Redistribution of Radiant Energy by Clouds. Mace, Gerald University of Utah Benson, Sally University of Utah Kato, Seiji Hampton University/NASA Langley Research Center Documentation with data of the effects of clouds on the radiant energy balance of the surface and atmosphere represent a critical shortcoming in the set of observations that are needed to ascertain the validity of model simulations of the earth's climate. While clouds are known to cool the climate system from TOA radiation budget studies, the redistribution of energy between the surface and atmosphere and within the atmosphere by clouds has not been examined in detail. Using data collected at the Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP)

270

Marine cloud brightening  

Science Journals Connector (OSTI)

...will not be as effective in marine stratocumulus clouds that are...Engineering steps to implement marine cloud brightening (a) Introduction...brightening by increasing the CCN of marine stratus clouds (by way of...vessel and the optimum means of propulsion. In fact, both these aspects...

2012-01-01T23:59:59.000Z

271

XSEDE Cloud Survey Report  

E-Print Network [OSTI]

XSEDE Cloud Survey Report David Lifka, Cornell Center for Advanced Computing Ian Foster, ANL, ANL and The University of Chicago A National Science Foundation-sponsored cloud user survey was conducted from September 2012 to April 2013 by the XSEDE Cloud Integration Investigation Team to better

Walter, M.Todd

272

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Hemispherical Simulations Show Impact of Aerosols on Cloud Reflectivity Hemispherical Simulations Show Impact of Aerosols on Cloud Reflectivity Submitter: Rotstayn, L., Commonwealth Scientific and Industrial Research Organization Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Rotstayn, L., and Y. Liu, Sensitivity of the First Indirect Aerosol Effect to an Increase in Cloud Droplet Spectral Dispersion with Droplet Number Concentration, Journal of Climate: Vol. 16, No. 21, pp.3476-3481, May 2003. Figure 1. Measurements of the relation between the relative dispersion of the cloud droplet spectrum and the cloud droplet number concentration (N). The lower, middle, and upper curves show the parameterizations used in the LOWER, MIDDLE, and UPPER simulations, respectively. A recent study by DOE Atmospheric Radiation Measurement (ARM) Program

273

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Probabilistic Approach Useful for Evaluating Cloud System Models Probabilistic Approach Useful for Evaluating Cloud System Models Submitter: Jakob, C., Monash University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Jakob, C., R. Pincus, C. Hannay, and K.M. Xu (2004). Use of cloud radar observations for model evaluation: A probabilistic approach, J. Geophys. Res., 109, D03202, doi:10.1029/2003JD003473. In evaluating climate models, time and space represent key challenges when extrapolating observations into simulations. Researchers supported by DOE's Atmospheric Radiation Measurement (ARM) Program have explored an alternative method based on "point series data" to arrive at model cloud predictions. Point series data are obtained over time through measurements

274

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Remote Sensing of Cirrus Cloud Vertical Size Profile Using MODIS Data Remote Sensing of Cirrus Cloud Vertical Size Profile Using MODIS Data Download a printable PDF Submitter: Ou, S., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Wang X, KN Liou, SS Ou, GG Mace, and M Deng. 2009. "Remote sensing of cirrus cloud vertical size profile using MODIS data." Journal of Geophysical Research - Atmospheres, 114, D09205, doi:10.1029/2008JD011327. (a) MODIS true color composite images for March 6, 2001 at 1736UTC, (b) retrieved Τc; (c) retrieved Dt for selected domain; (d) retrieved Db for selected domain; (e) scatter plot for retrieved Τc versus MODIS Τc for selected domain; (f) scatter plot for retrieved De versus MODIS De for

275

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Quantifying the Impact of Dust on Ice Generation in Supercooled Stratiform Quantifying the Impact of Dust on Ice Generation in Supercooled Stratiform Clouds Download a printable PDF Submitter: Wang, Z., University of Wyoming Zhang, D., University of Wyoming Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Zhang D, Z Wang, A Heymsfield, J Fan, D Liu, and M Zhao. 2012. "Quantifying the impact of dust on heterogeneous ice generation in midlevel supercooled stratiform clouds." Journal of Geophysical Research - Atmospheres, 39, L18805, doi:10.1029/2012GL052831. An example of dusty MSSC: (a) CALIOP TAB profiles at 532nm; (b) CALIOP depolarization profiles at 532nm; (c) CloudSat CPR radar reflectivity profiles; (d) Identified dust layers and MSSC; (e) Global distribution of

276

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Wide Angle Imaging Lidar: Active Optical Sensor Technology for Ground-Based Wide Angle Imaging Lidar: Active Optical Sensor Technology for Ground-Based Probing of Dense Clouds Download a printable PDF Submitter: Davis, A. B., Jet Propulsion Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Davis, AB. 2008. "Multiple-scattering lidar from both sides of the clouds: Addressing internal structure." Journal of Geophysical Research 113, D14S10, doi:10.1029/2007JD009666. Figure 1. Lidar observations of a dense cloud. Left: standard (single-scattering/on-beam) lidar. Right: multiple-scattering/off-beam lidar. Note the extreme narrowness of the FOV in the standard case, as is required to restrict as much as possible the signal to a single backscatter. Also note the weak penetration, O(1) MFP, of the two-way

277

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Understanding Ice Formation in Arctic Mixed-Phase Boundary-Layer Clouds Understanding Ice Formation in Arctic Mixed-Phase Boundary-Layer Clouds During ISDAC Download a printable PDF Submitter: Ackerman, A., NASA - Goddard Institute for Space Studies Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Avramov A, AS Ackerman, AM Fridlind, B van Diedenhoven, G Botta, K Aydin, J Verlinde, KV Alexei, W Strapp, GM McFarquhar, R Jackson, SD Brooks, A Glen, and M Wolde. 2011. "Towards ice formation closure in Arctic mixed-phase boundary layer clouds during ISDAC." Journal of Geophysical Research - Atmospheres, 116, D00T08, doi:10.1029/2011JD015910. Ice number size distributions as simulated (dendrites in red, aggregates in

278

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cumuli Impact on Solar Radiation at Surface: Spectral Changes Cumuli Impact on Solar Radiation at Surface: Spectral Changes Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle, Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Kassianov E, J Barnard, LK Berg, CN Long, and C Flynn. 2011. "Shortwave spectral radiative forcing of cumulus clouds from surface observations." Geophysical Research Letters, 38, L07801, doi:10.1029/2010GL046282. Figure 1. Normalized total cloud radiative forcing and its direct and diffuse components as a function of wavelength. Typically, under cloudy conditions, radiative transfer parameterizations in climate models have been evaluated by calculating the total cloud impact on

279

Exploratory Research on Novel Coal Liquefaction Concept - Task 2: Evaluation of Process Steps.  

SciTech Connect (OSTI)

A novel direct coal liquefaction technology is being investigated in a program being conducted by CONSOL Inc. with the University of Kentucky, Center for Applied Energy Research and LDP Associates under DOE Contract DE-AC22-95PC95050. The novel concept consists of a new approach to coal liquefaction chemistry which avoids some of the inherent limitations of current high-temperature thermal liquefaction processes. The chemistry employed is based on hydride ion donation to solubilize coal at temperatures (350-400{degrees}C) significantly lower than those typically used in conventional coal liquefaction. The process concept being explored consists of two reaction stages. In the first stage, the coal is solubilized by hydride ion donation. In the second, the products are catalytically upgraded to acceptable refinery feedstocks. The program explores not only the initial solubilization step, but integration of the subsequent processing steps, including an interstage solids-separation step, to produce distillate products. A unique feature of the process concept is that many of the individual reaction steps can be decoupled, because little recycle around the liquefaction system is expected. This allows for considerable latitude in the process design. Furthermore, this has allowed for each key element in the process to be explored independently in laboratory work conducted under Task 2 of the program.

Brandes, S.D.; Winschel, R.A.

1997-05-01T23:59:59.000Z

280

VERIFICATION SURVEY ACTIVITIES IN FS SURVEY UNITS 7, 8, 9, 10, 11, 13 & 14 AT THE SEPARATIONS PROCESS RESEARCH UNIT  

SciTech Connect (OSTI)

FINAL INTERIM REPORT VERIFICATION SURVEY ACTIVITIES IN FINAL STATUS SURVEY UNITS 7, 8, 9, 10, 11, 13 AND 14 AT THE SEPARATIONS PROCESS RESEARCH UNIT, Niskayuna, New York 0496-SR-03-0. The Separations Process Research Unit (SPRU) facilities were constructed in the late 1940s to research the chemical separation of plutonium and uranium. SPRU operated between February 1950 and October 1953. The research activities ceased following the successful development of the reduction/oxidation and plutonium/uranium extraction processes that were subsequently used by the Hanford and the Savannah River sites.

M.G. JADICK

2010-05-26T23:59:59.000Z

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARM Science Applications of AERI Measurements: 1997 Progress ARM Science Applications of AERI Measurements: 1997 Progress Submitter: Smith, W. L., NASA - Langley Research Center Area of Research: Radiation Processes Working Group(s): Cloud Modeling Journal Reference: N/A Figure 1. Figs. 1a and 1b contain rms differences from 72 radiosondes for AERI retrievals (blue), GOES retrievals (black), and AERI+GOES retrievals (red) for temperature and mixing ratio respectively during the 1997 Water Vapor IOP. A measure of meteorological the variability of the temperature and water vapor is indicated by the green line. Figs. 1c and 1d show the TPW for the same cases from GOES, AERI+GOES, radiosonde, and the ARM SGP CART microwave radiometer and relative percent differences in TPW amounts. Figure 2. Four consecutive radiosonde, GOES, and AERI+GOES comparisons from

282

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Field Experiments to Improve the Treatment of Radiation in the Mid-to-Upper Field Experiments to Improve the Treatment of Radiation in the Mid-to-Upper Troposphere Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Turner DD and EJ Mlawer. 2010. "The Radiative Heating in Underexplored Bands Campaigns (RHUBC)." Bulletin of the American Meteorological Society, 91, doi:10.1175/2010BAMS2904.1. (a) Atmospheric transmittance at 1 cm-1 resolution in the far-infrared for three atmospheres that are representative of the ARM SGP site, NSA site, and RHUBC-II site in the Chajnantor plateau (CJC). (b) The transmittance

283

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Development and Recent Evaluation of the MT_CKD Model of Continuum Development and Recent Evaluation of the MT_CKD Model of Continuum Absorption Download a printable PDF Submitter: Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Mlawer EJ, VH Payne, J Moncet, JS Delamere, MJ Alvarado, and DD Tobin. 2012. "Development and recent evaluation of the MT_CKD model of continuum absorption." Philosophical Transactions of The Royal Society A, 370, doi: 10.1098/rsta.2011.0295. For seven AERI cases with 4-6 cm PWV: (a) average AERI radiances (black) and corresponding calculations using radiation code with previous version of MT_CKD continuum model (red); (b) residuals between AERI and calculations with older model; (c) residuals after the CO2 continuum in

284

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A Downwelling Infrared Radiance Climatology for the ARM Southern Great A Downwelling Infrared Radiance Climatology for the ARM Southern Great Plains Site Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Gero, J., University of Wisconsin Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Turner DD and PJ Gero. 2011. "Downwelling infrared radiance temperature climatology for the Atmospheric Radiation Measurement Southern Great Plains site." Journal of Geophysical Research - Atmospheres, 116, D08212, doi:10.1029/2010JD015135. The distribution of downwelling 10-micron infrared radiance observed at the SGP site by the AERI from June 1996 to May 2010, separated into all-sky (all samples) and the three distinct sky classifications.

285

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Burning on the Prairies Burning on the Prairies Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Fischer ML, MS Torn, DP Billesbach, G Doyle, B Northup, and SC Biraud. 2012. "Carbon, water, and heat flux responses to experimental burning and drought in a tallgrass prairie." Agricultural and Forest Meteorology, 166, doi:10.1016/j.agrformet.2012.07.011. Pasture burning during the beginning of the experiment at the USDA Grazing Lands Research Laboratory in March 2005. What does it mean for the carbon cycle? The deep drought in the United States that fueled wildfires and damaged crops in 2012 has now continued well into 2013. However, long before the droughts and fires wreaked havoc, a team of

286

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Berg LK, EI Kassianov, CN Long, and DL Mills. 2011. "Surface summertime radiative forcing by shallow cumuli at the ARM SGP." Journal of Geophysical Research - Atmospheres, 116, D01202, 10.1029/2010JD014593. Histogram of hourly average shortwave CRF (black) and longwave CRF (red) for all periods with shallow cumuli. (a) Hourly average shortwave CRF (circles), binned shortwave CRF (squares); (b) total number of hourly averages for each sky cover bin; and (c) the change in shortwave TED as a function of sky cover for all hours with

287

Depolarisation cooling of an atomic cloud  

E-Print Network [OSTI]

We propose a cooling scheme based on depolarisation of a polarised cloud of trapped atoms. Similar to adiabatic demagnetisation, we suggest to use the coupling between the internal spin reservoir of the cloud and the external kinetic reservoir via dipolar relaxation to reduce the temperature of the cloud. By optical pumping one can cool the spin reservoir and force the cooling process. In case of a trapped gas of dipolar chromium atoms, we show that this cooling technique can be performed continuously and used to approach the critical phase space density for BEC

S. Hensler; A. Greiner; J. Stuhler; T. Pfau

2005-05-13T23:59:59.000Z

288

RAPPORT: running scientific high-performance computing applications on the cloud  

Science Journals Connector (OSTI)

...RAPPORT: running scientific high-performance computing applications on the cloud...for running scientific high-performance computing (HPC) software. The...platforms. cloud computing|high-performance computing|data-intensive research...

2013-01-01T23:59:59.000Z

289

Verification of Supercooled Cloud Water Forecasts with In Situ Aircraft Measurements  

Science Journals Connector (OSTI)

In situ measurements of temperature (Ta), horizontal wind speed (V), dewpoint (Td), total water content (TWC), and cloud and supercooled cloud water (SCW) events, made during 50 flights from three research field programs, have been compared to ...

Hong Guan; Stewart G. Cober; George A. Isaac

2001-02-01T23:59:59.000Z

290

Real-Time Cloud Rendering Mark J. Harris and Anselmo Lastra  

E-Print Network [OSTI]

Real-Time Cloud Rendering Mark J. Harris and Anselmo Lastra Department of Computer Science for future research in section 5. Figure 1: Realistic clouds in the game "Ozzy's Black Skies". #12;2 Harris

North Carolina at Chapel Hill, University of

291

Investigation of the aerosol-cloud interaction using the WRF framework  

E-Print Network [OSTI]

In this dissertation, a two-moment bulk microphysical scheme with aerosol effects is developed and implemented into the Weather Research and Forecasting (WRF) model to investigate the aerosol-cloud interaction. Sensitivities of cloud properties...

Li, Guohui

2009-05-15T23:59:59.000Z

292

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Using the ACRF Shortwave Spectrometer to Study the Transition Between Clear Using the ACRF Shortwave Spectrometer to Study the Transition Between Clear and Cloudy Regions Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Chiu, J., University of Reading Knyazikhin, Y., Boston University Pilewskie, P., University of Colorado Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Chiu C, A Marshak, Y Knyazikhin, P Pilewskie, and W Wiscombe. 2009. "Physical interpretation of the spectral radiative signature in the transition zone between cloud-free and cloudy regions." Atmospheric Chemistry and Physics, 9(4), 1419-1430. (a) Total sky images on 18 May 2007, and (b) plot of SWS normalized zenith radiances. In (b), arrows pointed at the time axis correspond to the times

293

Migrating enterprise storage applications to the cloud  

E-Print Network [OSTI]

hybrid cloud combines aspects of public and private clouds: a company may build a compute cloud own its own infrastructure,

Vrable, Michael Daniel

2011-01-01T23:59:59.000Z

294

Systematic Flights Obtain Long-Term Data Set of Cloud Properties  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Systematic Flights Obtain Long-Term Data Set of Cloud Properties Systematic Flights Obtain Long-Term Data Set of Cloud Properties Beginning in January 2009, the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility is sponsoring the first-of-its-kind long-term airborne research campaign to obtain data from low-level clouds above its Southern Great Plains (SGP) site. The five-month campaign is centered near Lamont, Oklahoma, a mid-latitude region that experiences a wide range of cloud types, including the "thin" clouds that are the focus of the campaign. Thin clouds contain so little water that the sun can be seen through them. Scientists refer to such clouds as "clouds with low-optical water depth," or CLOWD. Because these clouds are often tenuous and scattered, even some of the best

295

Currently, there is a substantial research and development effort directed toward optical signal processing and electronic signal processing for fiber-optic communications. Much of the work  

E-Print Network [OSTI]

Abstract Currently, there is a substantial research and development effort directed toward optical signal processing and electronic signal processing for fiber-optic communications. Much of the work for telecommunication services. For optical signal proc- essing, a variety of approaches are available for implementing

Wu, Shin-Tson

296

Visiting Scientists and Researchers  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

this research will lead to improved representation of cloud and land surface feedbacks in climate models. This project will also enhance ACRF capabilities by expanding into...

297

Midlatitude Continental Convective Clouds Experiment (MC3E)  

SciTech Connect (OSTI)

Convective processes play a critical role in the Earths energy balance through the redistribution of heat and moisture in the atmosphere and subsequent impacts on the hydrologic cycle. Global observation and accurate representation of these processes in numerical models is vital to improving our current understanding and future simulations of Earths climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales that are associated with convective and stratiform precipitation processes; therefore, they must turn to parameterization schemes to represent these processes. In turn, the physical basis for these parameterization schemes needs to be evaluated for general application under a variety of atmospheric conditions. Analogously, space-based remote sensing algorithms designed to retrieve related cloud and precipitation information for use in hydrological, climate, and numerical weather prediction applications often rely on physical parameterizations that reliably translate indirectly related instrument measurements to the physical quantity of interest (e.g., precipitation rate). Importantly, both spaceborne retrieval algorithms and model convective parameterization schemes traditionally rely on field campaign data sets as a basis for evaluating and improving the physics of their respective approaches. The Midlatitude Continental Convective Clouds Experiment (MC3E) will take place in central Oklahoma during the AprilMay 2011 period. The experiment is a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administrations (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leverages the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal is to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that have never before been available. Several different components of convective cloud and precipitation processes tangible to both the convective parameterization and precipitation retrieval algorithm problem are targeted, such as preconvective environment and convective initiation, updraft/downdraft dynamics, condensate transport and detrainment, precipitation and cloud microphysics, spatial and temporal variability of precipitation, influence on the environment and radiation, and a detailed description of the large-scale forcing.

Jensen, MP; Petersen, WA; Del Genio, AD; Giangrande, SE; Heymsfield, A; Heymsfield, G; Hou, AY; Kollias, P; Orr, B; Rutledge, SA; Schwaller, MR; Zipser, E

2010-04-01T23:59:59.000Z

298

Cloud Properties Working Group Low Clouds Update  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Properties Working Group Cloud Properties Working Group Low Clouds Update Low Clouds Update Jennifer Comstock Jennifer Comstock Dave Turner Dave Turner Andy Andy Vogelmann Vogelmann Instruments Instruments 90/150 GHz microwave radiometer 90/150 GHz microwave radiometer Deployed during COPS AMF Deployed during COPS AMF Exploring calibration w/ DPR ( Exploring calibration w/ DPR ( Crewell Crewell & & L L ö ö hnert hnert ) ) See COPS Breakout, Wednesday evening See COPS Breakout, Wednesday evening 183 GHz (GVR) deployed at the NSA 183 GHz (GVR) deployed at the NSA Neural network algorithm to retrieve PWV & LWP (Maria Neural network algorithm to retrieve PWV & LWP (Maria Cadeddu Cadeddu ) ) Potential VAP candidate (RPWG) Potential VAP candidate (RPWG)

299

Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parmaterizations in Large-Scale Models  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Using Cloud-Resolving Model Simulations Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models S. A. Klein National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory Princeton, New Jersey R. Pincus National Oceanic and Atmospheric Administration Cooperative Institute for Research in Environmental Science Climate Diagnostics Center Boulder, Colorado K. -M. Xu National Aeronautics and Space Administration Langley Research Center Hampton, Virginia Abstract Cloud parameterizations in large-scale models struggle to address the significant non-linear effects of radiation and precipitation that arise from horizontal inhomogeneity in cloud properties at scales smaller than the grid box size of the large-scale models. Statistical cloud schemes provide an attractive

300

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Modified Climate Model Better Replicates Global Rainfall Modified Climate Model Better Replicates Global Rainfall Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Song X, GJ Zhang, and JF Li. 2012. "Evaluation of microphysics parameterization for convective clouds in the NCAR Community Atmosphere Model CAM5." Journal of Climate, 25(24), doi:10.1175/JCLI-D-11-00563.1. Rainfall in the tropics. By improving an existing, sophisticated, global climate model, scientists can now simulate cloud and rainfall more accurately. Supported by the U.S. Department of Energy's Atmospheric System Research program, a research team from the Scripps Institution of Oceanography and

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Parameterizing the Ice Fall Speed in Climate Models: Results from TC4 and Parameterizing the Ice Fall Speed in Climate Models: Results from TC4 and ISDAC Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Mishra, S., NOAA - Coop. Inst. for Mesoscale Meteorological Studies Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mitchell DL, S Mishra, and RP Lawson. 2011. "Representing the ice fall speed in climate models: Results from Tropical Composition, Cloud and Climate Coupling (TC4) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC)." Journal of Geophysical Research - Atmospheres, 116, D00T03, doi:10.1029/2010JD015433. Relationship between De and Vm for all tropical cirrus cloud types (solid

302

Observed Scaling in Clouds and Precipitation and Scale Incognizance in Regional to Global Atmospheric Models  

SciTech Connect (OSTI)

We use observations of robust scaling behavior in clouds and precipitation to derive constraints on how partitioning of precipitation should change with model resolution. Our analysis indicates that 90-99% of stratiform precipitation should occur in clouds that are resolvable by contemporary climate models (e.g., with 200 km or finer grid spacing). Furthermore, this resolved fraction of stratiform precipitation should increase sharply with resolution, such that effectively all stratiform precipitation should be resolvable above scales of ~50 km. We show that the Community Atmosphere Model (CAM) and the Weather Research and Forecasting (WRF) model also exhibit the robust cloud and precipitation scaling behavior that is present in observations, yet the resolved fraction of stratiform precipitation actually decreases with increasing model resolution. A suite of experiments with multiple dynamical cores provides strong evidence that this `scale-incognizant' behavior originates in one of the CAM4 parameterizations. An additional set of sensitivity experiments rules out both convection parameterizations, and by a process of elimination these results implicate the stratiform cloud and precipitation parameterization. Tests with the CAM5 physics package show improvements in the resolution-dependence of resolved cloud fraction and resolved stratiform precipitation fraction.

O'Brien, Travis A.; Li, Fuyu; Collins, William D.; Rauscher, Sara; Ringler, Todd; Taylor, Mark; Hagos, Samson M.; Leung, Lai-Yung R.

2013-12-01T23:59:59.000Z

303

Testing a New Cirrus Cloud Parameterizaton  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Testing a New Cirrus Cloud Parameterization Testing a New Cirrus Cloud Parameterization in NCAR CCM3 D. Zurovac-Jevtic, G. J. Zhang, and V. Ramanathan Center for Atmospheric Sciences Scripps Institute of Oceanography La Jolla, California Introduction Cirrus cloud cover and ice water content (IWC) are the two most important properties of cirrus clouds. However, in general circulation models (GCMs), their treatment is very crude. For example, in the National Center for Atmospheric Research (NCAR) Community Climate Model (CCM3), IWC is prescribed as a function of column-integrated water vapor and height (Hack 1998). The in situ observations in the tropics indicate that the cirrus IWC is an order of magnitude larger than what is prescribed in the model (McFarquhar and Heymsfield 1996). The comparison with the International

304

Storm Peak Lab Cloud Property Validation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Storm Peak Lab Cloud Storm Peak Lab Cloud Property Validation Experiment (STORMVEX) Operated by the Atmospheric Radiation Measurement (ARM) Climate Research Facility for the U.S. Department of Energy, the second ARM Mobile Facility (AMF2) begins its inaugural deployment November 2010 in Steamboat Springs, Colorado, for the Storm Peak Lab Cloud Property Validation Experiment, or STORMVEX. For six months, the comprehensive suite of AMF2 instruments will obtain measurements of cloud and aerosol properties at various sites below the heavily instrumented Storm Peak Lab, located on Mount Werner at an elevation of 3220 meters. The correlative data sets that will be created from AMF2 and Storm Peak Lab will equate to between 200 and 300 in situ aircraft flight hours in liquid, mixed phase, and precipitating

305

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Global Variability of Mesoscale Convective System Anvil Structure from Global Variability of Mesoscale Convective System Anvil Structure from A-train Satellite Data Submitter: Yuan, J., University of Washington Houze, R., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Yuan J and RA Houze. 2010. "Global variability of mesoscale convective system anvil structure from A-train satellite data." Journal of Climate, 23, 5864-5888. Figure. 1 Annual mean (2007) climatology of anvil clouds associated with (a) small separated MCSs (<12000 km^2, the smallest 25%), (b) large separated MCSs (>40000 km^2, the largest 25%), and (c) connected MCSs. The color indicates percentage of area covered by MCS anvil clouds for each 5°x5° grid. In the tropics, upper-level clouds containing ice and mixtures of ice and

306

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimating Cloud and Rainfall Parameters in a Vertical Column Above the Estimating Cloud and Rainfall Parameters in a Vertical Column Above the ACRF SGP Site Download a printable PDF Submitter: Matrosov, S. Y., CIRES/NOAA/ESRL/University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: N/A An example of MMCR (a) and WACR (b) ARM radar measurements of a stratiform precipitating event and the corresponding estimates of mean rain rate (c) and cloud IWP and LWP (d). A comprehensive characterization of all hydrometeors in the vertical column is an important task, which is crucial for model parameterization and validation purposes. For many years, the remote sensing efforts within the Atmospheric Radiation Measurement (ARM) Program were focused primarily on either non-precipitating or only weakly-precipitating (e.g., drizzling)

307

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A Bulk Parameterization of Giant Cloud Condensation Nuclei A Bulk Parameterization of Giant Cloud Condensation Nuclei Download a printable PDF Submitter: Kogan, Y., University of Oklahoma - CIMMS Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Mechem, D. B., and Y. L. Kogan, 2007: A bulk parameterization of giant CCN. J. Atmos. Sci., conditionally accepted. Mean quantities as a function of GCCN concentration for polluted (squares) and clean (diamonds) background CCN conditions. Radiative quantities as a function of GCCN concentration for polluted and clean background CCN conditions shown in (a) optical depth; (b) albedo; (c) susceptibility; and (d) susceptibility relative to the control simulations without GCCN. A parameterization for giant cloud condensation nuclei (GCCN), suitable for

308

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Modeling Cloud Forcing in the Tropical West Pacific Modeling Cloud Forcing in the Tropical West Pacific Submitter: Kiehl, J., NCAR Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Petch, J.C., and J.T. Kiehl, 1997: "Investigating Cloud Radiative Forcing in the Tropical West Pacific Using a Single Column Model." In Proceedings from the Seventh ARM Science Team Meeting, U.S. Department of Energy, Washington, D.C. Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Here is summary of the poster "Investigating Cloud Radiative Forcing in the Tropical West Pacific Using a Single Column Model" (Petch and Kiehl) presented at the ARM 7th Science Team Meeting in San Antonio, Texas, March 1997. SCCM3, a single-column version of CCM3, has been forced with TOGA-COARE

309

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Satellite Retrievals of Mixed-phase Cloud Properties Satellite Retrievals of Mixed-phase Cloud Properties Download a printable PDF Submitter: Ou, S., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Ou SS, KN Liou, XJ Wang, A Dybdahl, M Mussetto, LD Carey, J Niu, JA Kankiewicz, S Kidder, and TH Von der Haar. 2009. "Retrievals of mixed-phase cloud properties during the National Polar-Orbiting Operational Environmental Satellite System." Applied Optics, 48(8), 1452-1462. Images of mixed-phase retrieved (a) τi, (b) De, (c) τw, and (d) re for the Terra/MODIS scene of 14 October 2001 over North Platte, Nebraska. Also shown are (e) retrieved τi and τw versus MODIS τ within the pink box and (f) retrieved De and re versus MODIS re within the pink box.

310

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Ground-Based Cloud Measurements Utilized to Evaluate the Simulation of Ground-Based Cloud Measurements Utilized to Evaluate the Simulation of Arctic Clouds in CCSM4 Download a printable PDF Submitter: de Boer, G., University of Colorado, Boulder/CIRES Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: de Boer G, W Chapman, JE Kay, B Medeiros, MD Shupe, S Vavrus, and JE Walsh. 2011. "A characterization of the present-day Arctic atmosphere in CCSM4." Journal of Climate, 25(8), doi:10.1175/JCLI-D-11-00228.1. Time-height cross-sections of simulated (top) and observed (second row) cloud phase at Barrow, Alaska. The difference between the frequencies of occurrence of each phase is indicated in the third row. Monthly distributions of liquid (dark) and ice (light) water paths at

311

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Dynamics and Atmospheric State on Cloud Vertical Overlap Dynamics and Atmospheric State on Cloud Vertical Overlap Download a printable PDF Submitter: Naud, C. M., Columbia University/NASA Goddard Institute for Space Studies Del Genio, A. D., NASA Mace, G., Utah State University Benson, S., Utah State University Clothiaux, E. E., Pennsylvania State University Kollias, P., McGill University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Naud, C, A Del Genio, GG Mace, S Benson, EE Clothiaux, and P Kollias. "Impact of dynamics and atmospheric state on cloud vertical overlap." Journal of Climate 218: 1758-1770. Mean overlap parameter α as a function of separation: (a,b) at SGP for all winter months of 2002-2004 and for 4 subsets of increasing 500 mb ω such

312

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Indirect Impact of Atmospheric Aerosols on an Ensemble of Deep Convective Indirect Impact of Atmospheric Aerosols on an Ensemble of Deep Convective Clouds Download a printable PDF Submitter: Grabowski, W., NCAR Morrison, H. C., NCAR Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Grabowski WW and H Morrison. 2011. "Indirect impact of atmospheric aerosols in idealized simulations of convective-radiative quasi-equilibrium. Part II: Double-moment microphysics." Journal of Climate, 24, 1897-1912. This paper extends the previous cloud-resolving modeling study concerning the impact of cloud microphysics on convective-radiative quasi-equilibrium (CRQE) over a surface with fixed characteristics and prescribed solar input, both mimicking the mean conditions on Earth. The current study

313

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Significance of Multilayer Cloud Systems in Tropical Convection The Significance of Multilayer Cloud Systems in Tropical Convection Download a printable PDF Submitter: Stephens, G. L., Colorado State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Stephens, GL, and NB Wood. 2007. "Properties of tropical convection observed by millimeter-wave radar systems." Monthly Weather Review 135: 821-842. Storm classifications (derived from k-means clustering analysis) applied to MWR observations from (a) Manus during MJO, (b) Manus during MJO transition, (c) Indian Ocean (JASMINE experiment) during monsoon, and (d) tropical convection off the Florida coast (CRYSTAL-FACE experiment) of cloud and precipitation echo top heights. The relative frequencies of

314

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Observational Evidence of Changes in Water Vapor, Clouds, and Radiation Observational Evidence of Changes in Water Vapor, Clouds, and Radiation Submitter: Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Dong, X., B. Xi, and P. Minnis, 2006: Observational Evidence of Changes in Water vapor, Clouds, and Radiation at the ARM SGP site. Geophys. Res. Lett., 33, L19818,doi:10.1029/2006GL027132. Figure 1. This plot shows that atmospheric precipitable water vapor and downwelling infrared radiation decreased, but solar radiation increased at the SGP site from 1997 to 2004. The amount of water vapor, the dominant greenhouse gas, has a greater effect on infrared radiation than on solar. Figure 2. This plot shows that solar radiation at the surface increased

315

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cirrus Cloud Bimodal Size Distributions from ARM Remote Sensing Data Cirrus Cloud Bimodal Size Distributions from ARM Remote Sensing Data Download a printable PDF Submitter: Mace, G., Utah State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Zhao Y, GG Mace, and JM Comstock. 2011. "The occurrence of particle size distribution bimodality in midlatitude cirrus as inferred from ground-based remote sensing data." Journal of the Atmospheric Sciences, 68(6), doi:10.1175/2010JAS3354.1. Figure 1. Frequency distribution of ice water content (top), effective radius (middle), and crystal concentration (bottom) derived from 313 h of cloud property retrievals using the bimodal algorithm. The distributions are shown as a function of the layer-mean temperature shown in the legend.

316

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

General Formulation for Representing Cloud-to-Rain Transition in General Formulation for Representing Cloud-to-Rain Transition in Atmospheric Models Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Aerosol, Cloud Modeling, Cloud Properties Journal Reference: Liu, Y., P. H. Daum, R. McGraw, M. Miller, and S. Niu, 2007: Theoretical formulation for autoconversion rate of cloud droplet concentration. Geophys. Res. Lett., 34, L116821, doi:10.1029/2007GL030389 Figure 1. The typical drop radius r* as a function of the volume-mean radius r3 derived from the new theoretical formulation. Note that a constant r* corresponds to the commonly used assumption that the autoconversion rate for droplet concentration is linearly proportional to

317

A new scenario framework for climate change research: background, process, and future directions  

SciTech Connect (OSTI)

The scientific community is developing new integrated global, regional, and sectoral scenarios to facilitate interdisciplinary research and assessment to explore the range of possible future climates and related physical changes could pose to human and natural systems; how these could interact with social, economic, and environmental development pathways; the degree to which mitigation and adaptation policies can avoid and reduce those risks; the costs and benefits of various policy mixes; residual impacts under alternative pathways; and the relationship with sustainable development. This paper provides the background to, and process of, developing the conceptual framework for these scenarios, described in three other papers in this Special Issue (van Vuuren et al.; O'Neill et al.; Kriegler et al.). The paper also discusses research needs to further develop and apply this framework. The goal is to encourage climate change researchers from a broad range of perspectives and disciplines to work together to develop policy-relevant scenarios and explore the implications of different possible futures for the challenges and opportunities human and natural systems could face with increasing climate change.

Ebi, Kristie L.; Hallegatte, Stephane; Kram, Tom; Arnell, Nigel; Carter, Tim; Edmonds, James A.; Kriegler, Elmar; Mathur, Ritu; O'Neill, Brian; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef; Zwickel, Timm

2014-02-01T23:59:59.000Z

318

Final Technical Report for "Radiative Heating Associated with Tropical Convective Cloud Systems: Its Importance at Meso and Global Scales"  

SciTech Connect (OSTI)

Heating associated with tropical cloud systems drive the global circulation. The overall research objectives of this project were to i) further quantify and understand the importance of heating in tropical convective cloud systems with innovative observational techniques, and ii) use global models to determine the large-scale circulation response to variability in tropical heating profiles, including anvil and cirrus cloud radiative forcing. The innovative observational techniques used a diversity of radar systems to create a climatology of vertical velocities associated with the full tropical convective cloud spectrum along with a dissection of the of the total heating profile of tropical cloud systems into separate components (i.e., the latent, radiative, and eddy sensible heating). These properties were used to validate storm-scale and global climate models (GCMs) and were further used to force two different types of GCMs (one with and one without interactive physics). While radiative heating was shown to account for about 20% of the total heating and did not have a strong direct response on the global circulation, the indirect response was important via its impact on convection, esp. in how radiative heating impacts the tilt of heating associated with the Madden-Julian Oscillation (MJO), a phenomenon that accounts for most tropical intraseasonal variability. This work shows strong promise in determining the sensitivity of climate models and climate processes to heating variations associated with cloud systems.

Schumacher, Courtney

2012-12-13T23:59:59.000Z

319

Final Report on the Development of an Improved Cloud Microphysical Product for Model and Remote Sensing Evaluation using RACORO Observations  

SciTech Connect (OSTI)

We proposed to analyze data collected during the Routine Aerial Facilities (AAF) Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) in order to develop an integrated product of cloud microphysical properties (number concentration of drops in different size bins, total liquid drop concentration integrated over all bin sizes, liquid water content LWC, extinction of liquid clouds bw, effective radius of water drops re, and radar reflectivity factor) that could be used to evaluate large-eddy simulations (LES), general circulation models (GCMs) and ground-based remote sensing retrievals, and to develop cloud parameterizations with the end goal of improving the modeling of cloud processes and properties and their impact on atmospheric radiation. We have completed the development of this microphysical database and have submitted it to ARM for consideration of its inclusion on the ARM database as a PI product. This report describes the development of this database, and also describes research that has been conducted on cloud-aerosol interactions using the data obtained during RACORO. A list of conference proceedings and publications is also included.

McFarquhar, Greg

2012-09-19T23:59:59.000Z

320

BNL | Cloud Lifecycle Infrastructure  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Life Cycle Infrastructure Cloud Life Cycle Infrastructure An important component of any long-term atmospheric measurement program is the quality control and maintenance of the datastreams from instrument systems. Further, the raw measurements from atmospheric remote sensing instrumentation are not directly useable by the majority of the scientific community. These raw measurements must be interpreted and converted to geophysical quantities that can be more readily used by a greater number of scientists to address important questions regarding the Earth's climate system. The cloud life cycle infrastructure group at BNL is led by Dr. Michael Jensen and is responsible for the development and production of cloud-related value-added products (VAPs). The cloud life cycle infrastructure group also provides mentorships for the millimeter cloud

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While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Access-Load-Aware Dynamic Data Balancing for Cloud Storage Service  

Science Journals Connector (OSTI)

Cloud storage is the typical way for storing massive data in Big Data Era. Dynamic data balancing is important for cloud storage since ... utilization of computing resource and the performance of data process. Ho...

Haopeng Chen; Zhenhua Wang; Yunmeng Ban

2013-01-01T23:59:59.000Z

322

A Satellite-Based Parameter to Monitor the Aerosol Impact on Convective Clouds  

Science Journals Connector (OSTI)

A method to monitor the aerosol impact on convective clouds using satellite data is presented. The impacts of forest fires and highly polluting megacities on cloud precipitation formation processes are quantified by the vertical extent above ...

Itamar M. Lensky; Ron Drori

2007-05-01T23:59:59.000Z

323

The Design-Build Process for the Research Support Facility (RSF), Energy Efficiency & Renewable Energy (EERE)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Design-Build Process for Design-Build Process for the Research Support Facility An in-depth look at how the U.S. Department of Energy and the National Renewable Energy Laboratory used a performance-based design-build contract process to build one of the most energy efficient office buildings in the world. Table of Contents The Design-Build Process for the Research Support Facility | 1 Table of Contents Executive Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Building Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Owner Roles and Responsibilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Acquisition Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Defining Performance Objectives . . . . . . . . . . . . . . . . . . . . . . . .

324

Research Highlights  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Highlights Highlights Form Submit a New Research Highlight Sort Highlights Submitter Title Research Area Working Group Submission Date DOE Progress Reports Notable Research Findings for 2001-2006 Biological and Environmental Research Abstracts Database Research Highlights Summaries Research Highlights Members of ARM's science team are major contributors to radiation and cloud research. ARM investigators publish about 150 refereed journal articles per year, and ARM data are used in many studies published by other scientific organizations. These documented research efforts represent tangible evidence of ARM's contribution to advances in almost all areas of atmospheric radiation and cloud research. Below is a selection of summaries highlighting recently-published ARM research. The entire collection of ARM

325

Dispersion of Cloud Droplet Size Distributions, Cloud Parameterization...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Dispersion of Cloud Droplet Size Distributions, Cloud Parameterizations, and Indirect Aerosol Effects P. H. Daum and Y. Liu Brookhaven National Laboratory Upton, New York...

326

ARM - Measurement - Cloud top height  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud top height For a given cloud or cloud layer, the highest level of the atmosphere where...

327

Developing cloud applications using the e-Science Central platform  

Science Journals Connector (OSTI)

...research-article Articles 1003 193 Theme Issue e-Science-towards the cloud: infrastructures...Developing cloud applications using the e-Science Central platform Hugo Hiden Simon Woodman...newcastle.ac.uk School of Computing Science, Newcastle University, , Newcastle upon...

2013-01-01T23:59:59.000Z

328

Relationship between cloud radiative forcing, cloud fraction and cloud albedo, and new surface-based approach for determining cloud albedo  

SciTech Connect (OSTI)

This paper focuses on three interconnected topics: (1) quantitative relationship between surface shortwave cloud radiative forcing, cloud fraction, and cloud albedo; (2) surface-based approach for measuring cloud albedo; (3) multiscale (diurnal, annual and inter-annual) variations and covariations of surface shortwave cloud radiative forcing, cloud fraction, and cloud albedo. An analytical expression is first derived to quantify the relationship between cloud radiative forcing, cloud fraction, and cloud albedo. The analytical expression is then used to deduce a new approach for inferring cloud albedo from concurrent surface-based measurements of downwelling surface shortwave radiation and cloud fraction. High-resolution decade-long data on cloud albedos are obtained by use of this surface-based approach over the US Department of Energy's Atmospheric Radiaton Measurement (ARM) Program at the Great Southern Plains (SGP) site. The surface-based cloud albedos are further compared against those derived from the coincident GOES satellite measurements. The three long-term (1997-2009) sets of hourly data on shortwave cloud radiative forcing, cloud fraction and cloud albedo collected over the SGP site are analyzed to explore the multiscale (diurnal, annual and inter-annual) variations and covariations. The analytical formulation is useful for diagnosing deficiencies of cloud-radiation parameterizations in climate models.

Liu, Y.; Wu, W.; Jensen, M. P.; Toto, T.

2011-07-21T23:59:59.000Z

329

Cloud Computing: An Architectural Perspective .  

E-Print Network [OSTI]

??Cloud Computing is a term heavily used in today's world. Not even a day passes by without hearing the words "Cloud Computing". It has become (more)

Pandya, Hetalben

2013-01-01T23:59:59.000Z

330

Profiling clouds' inner life | EMSL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

inner life Subgrid modeling pinpoints cloud transformation to uncover true reflective power An accurate understanding of clouds over the ocean is important for climate change...

331

BNL | Aerosol, Cloud, Precipitation Interactions  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud-Aerosol-Precipitation Interactions Cloud-Aerosol-Precipitation Interactions Atmospheric aerosols exert important "indirect effects" on clouds and climate by serving as cloud condensation nuclei (CCN) and ice nuclei that affect cloud radiative and microphysical properties. For example, an increase in CCN increases the number concentration of droplets enhances cloud albedo, and suppresses precipitation that alters cloud coverage and lifetime. However, in the case of moist and strong convective clouds, increasing aerosols may increase precipitation and enhance storm development. Although aerosol-induced indirect effects on climate are believed to have a significant impact on global climate change, estimating their impact continues to be one of the most uncertain climate forcings.

332

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Heating Up the Arctic: Most Complete Data Set Ever Collected Helps Heating Up the Arctic: Most Complete Data Set Ever Collected Helps Scientists Understand Aerosol Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: McFarquhar GM, S Ghan, J Verlinde, A Korolev, JW Strapp, B Schmid, JM Tomlinson, M Wolde, SD Brooks, D Cziczo, MK Dubey, JW Fan, C Flynn, I Gultepe, J Hubbe, MK Gilles, A Laskin, P Lawson, WR Leaitch, P Liu, XH Liu, D Lubin, C Mazzoleni, AM Macdonald, RC Moffet, H Morrison, M Ovchinnikov, MD Shupe, DD Turner, SC Xie, A Zelenyuk, K Bae, M Freer, and A Glen. 2011. "Indirect and Semi-Direct Aerosol Campaign: the impact of Arctic aerosols on clouds." Bulletin of the American Meteorological

333

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Optimal Method to Determine Orientation Average of Scattering Properties of Optimal Method to Determine Orientation Average of Scattering Properties of Ice Crystals Download a printable PDF Submitter: Um, J., University of Illinois, Urbana McFarquhar, G., University of Illinois, Urbana Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Um J and GM McFarquhar. 2013. "Optimal numerical methods for determining the orientation averages of single-scattering properties of atmospheric ice crystals." Journal of Quantitative Spectroscopy & Radiative Transfer, 127, doi:10.1016/j.jqsrt.2013.05.020. Fig.1. Idealized shapes of ice crystals used in this study: (a) Gaussian random sphere (GS), (b) droxtal (DX), (c) budding Bucky ball (3B), and (d) column (COL). All models are visualized with dipoles. For (b), (c), and (d)

334

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Looking at the Full Spectrum for Water Vapor Looking at the Full Spectrum for Water Vapor Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Mlawer EJ, VH Payne, J Moncet, JS Delamere, MJ Alvarado, and DD Tobin. 2012. "Development and recent evaluation of the MT_CKD model of continuum absorption." Philosophical Transactions of The Royal Society A, 370, doi: 10.1098/rsta.2011.0295. Radiative cooling across the full infrared spectrum: The far-infrared (the left half of the figure, from 15 to 1000 microns) plays a key role in heat transfer in the atmosphere, but scientists could not measure it, and model calculations were consequently very uncertain. Field observations from

335

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Spectral Invariant Properties of Single-Scattering Albedo for Water Spectral Invariant Properties of Single-Scattering Albedo for Water Droplets and Ice Crystals Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Marshak A, Y Knyazikhin, JC Chiu, and WJ Wiscombe. 2012. "On spectral invariance of single scattering albedo for water droplets and ice crystals at weakly absorbing wavelengths." Journal of Quantitative Spectroscopy & Radiative Transfer, 113, 715-720. The ratio of ω0λ(r)/ω0λ(r0) plotted against ω0λ(r) for four wavelengths, λ=0.86, 1.65, 2.13 and 3.75 um. An example for the aggregates ice crystal habits is shown (see Yang et al. 2000. "Parameterization of

336

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Self-Regulation Strikes a Balance Between Hydrological Cycle, Radiation Self-Regulation Strikes a Balance Between Hydrological Cycle, Radiation Processes, and Intraseasonal Dynamic Variations Submitter: Stephens, G. L., Colorado State University Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Stephens, Graeme L., Webster, Peter J., Johnson, Richard H., Engelen, Richard, L'Ecuyer, Tristan. 2004: Observational Evidence for the Mutual Regulation of the Tropical Hydrological Cycle and Tropical Sea Surface Temperatures. Journal of Climate: Vol. 17, No. 11, pp. 2213-2224. The "humidistat" feedback mechanism suggests that the hydrological cycle and sea surface temperatures mutually regulate each other in phases: the destabilization phase, the convective phase, and the restoring phase. These

337

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A Tall Order: Climate Models Fall Short in Predicting African Sahel A Tall Order: Climate Models Fall Short in Predicting African Sahel Rainfall Download a printable PDF Submitter: Roehrig, R., Meteo-France CNRM/GMME/MOANA Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Roehrig R, D Bouniol, F Guichard, F Hourdin, and JL Redelsperger. 2013. "The present and future of the West African Monsoon: A process-oriented assessment of CMIP5 simulations along the AMMA transect." Journal of Climate, 26(17), doi:10.1175/jcli-d-12-00505.1. The wealth of data available from field campaigns between the Gulf of Guinea and the Sahara Desert allowed scientists to evaluate the ability of climate models to accurately predict rainfall in the area.

338

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Detangling Convective Oscillations at ARM Tropical Western Pacific Site: Detangling Convective Oscillations at ARM Tropical Western Pacific Site: Manus Submitter: Wang, Y., Department of Geography Long, C. N., Pacific Northwest National Laboratory Mather, J. H., Pacific Northwest National Laboratory Liu, X., Institute of Earth Environment Area of Research: Radiation Processes Working Group(s): Cloud Properties Journal Reference: Wang Y, C Long, J Mather, and X Liu. 2010. "Convective signals from surface measurements at ARM Tropical Western Pacific site: Manus." Climate Dynamics, , doi:10.1007/s00382-009-0736-z. Figure 1: (A) The time series includes the clear-sky shortwave (SW) flux (blue) and the all-sky SW flux (black) over Manus. The green line indicates a 60-day running mean. (B) Wavelet power (WP) of CRF (color shading) with

339

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Evaluation of Microwave Radiometer Performance in Alaska Evaluation of Microwave Radiometer Performance in Alaska Submitter: Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties, Radiative Processes Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 In order to determine the extent to which the ARM microwave radiometers would need to be modified to accommodate Arctic operations, an instrument designed for the Tropical Western Pacific was deployed at the University of Alaska at Fairbanks and continuously operated from 14 December 1995 through 20 June 1996 with the assistance of North Slope Site Scientist Knut Stamnes and Deputy Site Scientist Abdul Alkezweeny. Time series plots of the data are presented in Figure 1.

340

Posters Sensitivity of Cirrus Cloud Radiative  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 7 Posters Sensitivity of Cirrus Cloud Radiative Properties to Ice Crystal Size and Shape in General Circulation Model Simulations D. L. Mitchell Desert Research Institute Reno, Nevada J. E. Kristjánsson Department of Geophysics University of Oslo, Norway M. J. Newman Los Alamos National Laboratory Los Alamos, New Mexico Introduction Recent research (e.g., Mitchell and Arnott 1994) has shown that the radiative properties of cirrus clouds (i.e., optical depth, albedo, emissivity) depend on the shapes and sizes of ice crystals. For instance, the cloud albedo may vary by a factor of two, depending on whether hexagonal columns or bullet rosette ice crystals are assumed for a given ice water path (IWP). This variance occurs primarily because, at sizes characteristic of cirrus

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Energy in low carbon cities and social learning: A process for defining priority research questions with UK stakeholders  

Science Journals Connector (OSTI)

Abstract City-level decision-making requires timely access to a wide range of relevant and comprehensible data and information. Although a wide range of research on energy and cities is on-going across the social, engineering and natural sciences, it cannot be taken for granted that the questions being asked and the way questions are structured reflect practitioner perspectives and requirements. This paper discusses the ways in which research questions are formed and interpreted by actors in academic research and research user communities. We also report a set of research questions produced via an initial trial of a two stage, participative process consisting of (a) a survey targeted at city-focussed practitioners in the United Kingdom (UK) with an interest in lower carbon energy futures; and (b) a workshop integrating practitioner and academic perspectives. Comparing the set of research questions identified with themes in the academic literature, we find that research and practitioner communities concur on the importance of reducing energy demand and also on a number of cross-cutting issues. However, we also find that academic research places a greater emphasis on the interfaces between the energy system and other urban systems. We conclude that the two stage, participative process followed can serve to generate and legitimate city-related research questions through collaboration between stakeholders and academic researchers.

Chris J. Martin; Peter G. Taylor; Paul Upham; Golnoush Ghiasi; Catherine S.E. Bale; Hannah James; Alice Owen; William F. Gale; Rebecca J. Slack; Simon Helmer

2014-01-01T23:59:59.000Z

342

Membrane/distillation hybrid process research and development. Final report, phase II  

SciTech Connect (OSTI)

This report covers work conducted under the grant awarded to BP by DOE in late 1991 entitled {open_quotes}Membrane/Distillation Hybrid Process Research and Development.{close_quotes} The program was directed towards development and commercialization of the BP process for separation of vapor phase olefins from non-olefins via facilitated transport using an aqueous facilitator. The program has come to a very successful conclusion, with formation of a partnership between BP and Stone and Webster Engineering Corporation (SWEC) to market and commercialize the technology. The focus of this report is the final portion of the program, during which engineering re-design, facilitator optimization, economic analysis, and marketing have been the primary activities. At the end of Phase II BP was looking to partner with an engineering firm to advance the selective olefin recovery (SOR) technology from the lab/demo stage to full commercialization. In August 1995 BP and SWEC reached an agreement to advance the technology by completing additional Phase III work with DOE and beginning marketing activities.

Mazanec, T.J.

1997-07-01T23:59:59.000Z

343

Oil shale, tar sand, coal research, advanced exploratory process technology, jointly sponsored research. Quarterly technical progress report, July--September 1992  

SciTech Connect (OSTI)

Progress made in five research programs is described. The subtasks in oil shale study include oil shale process studies and unconventional applications and markets for western oil shale.The tar sand study is on recycle oil pyrolysis and extraction (ROPE) process. Four tasks are described in coal research: underground coal gasification; coal combustion; integrated coal processing concepts; and sold waste management. Advanced exploratory process technology includes: advanced process concepts; advanced mitigation concepts; and oil and gas technology. Jointly sponsored research covers: organic and inorganic hazardous waste stabilization; CROW field demonstration with Bell Lumber and Pole; development and validation of a standard test method for sequential batch extraction fluid; PGI demonstration project; operation and evaluation of the CO{sub 2} HUFF-N-PUFF process; fly ash binder for unsurfaced road aggregates; solid state NMR analysis of Mesaverde group, Greater Green River Basin, tight gas sands; flow-loop testing of double-wall pipe for thermal applications; shallow oil production using horizontal wells with enhanced oil recovery techniques; NMR analysis of sample from the ocean drilling program; and menu driven access to the WDEQ hydrologic data management system.

Not Available

1992-12-31T23:59:59.000Z

344

Intercomparison of the Cloud Water Phase among Global Climate Models  

SciTech Connect (OSTI)

Mixed-phase clouds (clouds that consist of both cloud droplets and ice crystals) are frequently present in the Earths atmosphere and influence the Earths energy budget through their radiative properties, which are highly dependent on the cloud water phase. In this study, the phase partitioning of cloud water is compared among six global climate models (GCMs) and with Cloud and Aerosol Lidar with Orthogonal Polarization retrievals. It is found that the GCMs predict vastly different distributions of cloud phase for a given temperature, and none of them are capable of reproducing the spatial distribution or magnitude of the observed phase partitioning. While some GCMs produced liquid water paths comparable to satellite observations, they all failed to preserve sufficient liquid water at mixed-phase cloud temperatures. Our results suggest that validating GCMs using only the vertically integrated water contents could lead to amplified differences in cloud radiative feedback. The sensitivity of the simulated cloud phase in GCMs to the choice of heterogeneous ice nucleation parameterization is also investigated. The response to a change in ice nucleation is quite different for each GCM, and the implementation of the same ice nucleation parameterization in all models does not reduce the spread in simulated phase among GCMs. The results suggest that processes subsequent to ice nucleation are at least as important in determining phase and should be the focus of future studies aimed at understanding and reducing differences among the models.

Komurcu, Muge; Storelvmo, Trude; Tan, Ivy; Lohmann, U.; Yun, Yuxing; Penner, Joyce E.; Wang, Yong; Liu, Xiaohong; Takemura, T.

2014-03-27T23:59:59.000Z

345

Thin Film Materials and Processing Techniques for a Next Generation Photovoltaic Device: Cooperative Research and Development Final Report, CRADA Number CRD-12-470  

SciTech Connect (OSTI)

This research extends thin film materials and processes relevant to the development and production of a next generation photovoltaic device.

van Hest, M.

2013-08-01T23:59:59.000Z

346

Accretion onto a black hole in a string cloud background  

E-Print Network [OSTI]

We examine the accretion process onto the black hole with a string cloud background, where the horizon of the black hole has an enlarged radius $r_H=2 M/(1-\\alpha)$, due to the string cloud parameter $\\alpha\\; (0 \\leq \\alpha cloud parameter $\\alpha$. We also find the gas compression ratios and temperature profiles below the accretion radius and at the event horizon. It is shown that the mass accretion rate, for both the relativistic and the non-relativistic fluid by a black hole in the string cloud model, increases with increase in $\\alpha$.

Apratim Ganguly; Sushant G. Ghosh; Sunil D. Maharaj

2014-09-28T23:59:59.000Z

347

Transforming the representation of the boundary layer and low clouds for high-resolution regional climate modeling: Final report  

SciTech Connect (OSTI)

Stratocumulus and shallow cumulus clouds in subtropical oceanic regions (e.g., Southeast Pacific) cover thousands of square kilometers and play a key role in regulating global climate (e.g., Klein and Hartmann, 1993). Numerical modeling is an essential tool to study these clouds in regional and global systems, but the current generation of climate and weather models has difficulties in representing them in a realistic way (e.g., Siebesma et al., 2004; Stevens et al., 2007; Teixeira et al., 2011). While numerical models resolve the large-scale flow, subgrid-scale parameterizations are needed to estimate small-scale properties (e.g. boundary layer turbulence and convection, clouds, radiation), which have significant influence on the resolved scale due to the complex nonlinear nature of the atmosphere. To represent the contribution of these fine-scale processes to the resolved scale, climate models use various parameterizations, which are the main pieces in the model that contribute to the low clouds dynamics and therefore are the major sources of errors or approximations in their representation. In this project, we aim to 1) improve our understanding of the physical processes in thermal circulation and cloud formation, 2) examine the performance and sensitivity of various parameterizations in the regional weather model (Weather Research and Forecasting model; WRF), and 3) develop, implement, and evaluate the advanced boundary layer parameterization in the regional model to better represent stratocumulus, shallow cumulus, and their transition. Thus, this project includes three major corresponding studies. We find that the mean diurnal cycle is sensitive to model domain in ways that reveal the existence of different contributions originating from the Southeast Pacific land-masses. The experiments suggest that diurnal variations in circulations and thermal structures over this region are influenced by convection over the Peruvian sector of the Andes cordillera, while the mostly dry mountain-breeze circulations force an additional component that results in semi-diurnal variations near the coast. A series of numerical tests, however, reveal sensitivity of the simulations to the choice of vertical grid, limiting the possibility of solid quantitative statements on the amplitudes and phases of the diurnal and semidiurnal components across the domain. According to our experiments, the Mellor-Yamada-Nakanishi-Niino (MYNN) boundary layer scheme and the WSM6 microphysics scheme is the combination of schemes that performs best. For that combination, mean cloud cover, liquid water path, and cloud depth are fairly wellsimulated, while mean cloud top height remains too low in comparison to observations. Both microphysics and boundary layer schemes contribute to the spread in liquid water path and cloud depth, although the microphysics contribution is slightly more prominent. Boundary layer schemes are the primary contributors to cloud top height, degree of adiabaticity, and cloud cover. Cloud top height is closely related to surface fluxes and boundary layer structure. Thus, our study infers that an appropriate tuning of cloud top height would likely improve the low-cloud representation in the model. Finally, we show that entrainment governs the degree of adiabaticity, while boundary layer decoupling is a control on cloud cover. In the intercomparison study using WRF single-column model experiments, most parameterizations show a poor agreement of the vertical boundary layer structure when compared with large-eddy simulation models. We also implement a new Total-Energy/Mass- Flux boundary layer scheme into the WRF model and evaluate its ability to simulate both stratocumulus and shallow cumulus clouds. Result comparisons against large-eddy simulation show that this advanced parameterization based on the new Eddy-Diffusivity/Mass-Flux approach provides a better performance than other boundary layer parameterizations.

Huang, Hsin-Yuan; Hall, Alex

2013-07-24T23:59:59.000Z

348

Satellite and Surface Data Synergy for Developing a 3D Cloud Structure and Properties Characterization Over the ARM SGP. S...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Satellite and Surface Data Synergy for Developing Satellite and Surface Data Synergy for Developing a 3D Cloud Structure and Properties Characterization Over the ARM SGP Site Stage 1: Cloud Amounts, Optical Depths, and Cloud Heights Reconciliation I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington P. W. Heck Analytical Services & Materials, Inc. Hampton, Virginia P. Minnis National Aeronautics and Space Administration Langley Research Center Hampton, Virginia Introduction One of the primary Atmospheric Radiation Measurement (ARM) Program objectives is to obtain measurements applicable to the development of models for better understanding of radiative processes in the atmosphere. We address this goal by building a three-dimensional (3D) characterization of the

349

MICROSECOND-SCALE ELECTRIC FIELD PULSES IN CLOUD LIGHTNING FLASHES  

E-Print Network [OSTI]

-149- 30F3 MICROSECOND-SCALE ELECTRIC FIELD PULSES IN CLOUD LIGHTNING FLASHES Y. Villanueva, V tape-recorded data) for ground flashes by Rakov et al. [5]. Note that the K process in a lightning-scale pulses in different stages of cloud flashes in Florida and New Mexico are analyzed. The pulse occurrence

Florida, University of

350

Flexible MapReduce Workflows for Cloud Data Analytics  

Science Journals Connector (OSTI)

Data analytics applications handle large data sets subject to multiple processing phases, some of which can execute in parallel on clusters, grids or clouds. Such applications can benefit from using MapReduce model, only requiring the end-user to define ... Keywords: Cloud, Data Analytics Applications, MapReduce, Text Mining, Workflow

Carlos Goncalves, Luis Assuncao, Jose C. Cunha

2013-10-01T23:59:59.000Z

351

Indian Summer Monsoon Drought 2009: Role of Aerosol and Cloud Microphysics  

SciTech Connect (OSTI)

Cloud dynamics played a fundamental role in defining Indian summer monsoon (ISM) rainfall during drought in 2009. The anomalously negative precipitation was consistent with cloud properties. Although, aerosols inhibited the growth of cloud effective radius in the background of sparse water vapor, their role is secondary. The primary role, however, is played by the interactive feedback between cloud microphysics and dynamics owing to reduced efficient cloud droplet growth, lesser latent heating release and shortage of water content. Cloud microphysical processes were instrumental for the occurrence of ISM drought 2009.

Hazra, Anupam; Taraphdar, Sourav; Halder, Madhuparna; Pokhrel, S.; Chaudhari, H. S.; Salunke, K.; Mukhopadhyay, P.; Rao, S. A.

2013-07-01T23:59:59.000Z

352

Cloud Scavenging Effects on Aerosol Radiative and Cloud-nucleating Properties - Final Technical Report  

SciTech Connect (OSTI)

The optical properties of aerosol particles are the controlling factors in determining direct aerosol radiative forcing. These optical properties depend on the chemical composition and size distribution of the aerosol particles, which can change due to various processes during the particles lifetime in the atmosphere. Over the course of this project we have studied how cloud processing of atmospheric aerosol changes the aerosol optical properties. A counterflow virtual impactor was used to separate cloud drops from interstitial aerosol and parallel aerosol systems were used to measure the optical properties of the interstitial and cloud-scavenged aerosol. Specifically, aerosol light scattering, back-scattering and absorption were measured and used to derive radiatively significant parameters such as aerosol single scattering albedo and backscatter fraction for cloud-scavenged and interstitial aerosol. This data allows us to demonstrate that the radiative properties of cloud-processed aerosol can be quite different than pre-cloud aerosol. These differences can be used to improve the parameterization of aerosol forcing in climate models.

Ogren, John A.; Sheridan, Patrick S.; Andrews, Elisabeth

2009-03-05T23:59:59.000Z

353

Environmental research program: FY 1987, annual report  

SciTech Connect (OSTI)

This multidisciplinary research program includes fundamental and applied research in physics, chemistry, engineering, and biology, as well as research on the development of advanced methods of measurement and analysis. The Program's Annual Report contains summaries of research performed during FY 1987 in the areas of atmospheric aerosols, flue gas chemistry, combustion, membrane bioenergetics, and analytical chemistry. The main research interests of the Atmospheric Aerosol Research group concern the chemical and physical processes that occur in haze, clouds, and fogs. For their studies, the group is developing novel analytical and research methods for characterizing aerosol species. Aerosol research is performed in the laboratory and in the field. Studies of smoke emissions from fires and their possible effects on climatic change, especially as related to nuclear winter, are an example of the collaboration between the Atmospheric Aerosol Research and Combustion Research Groups.

Not Available

1988-03-01T23:59:59.000Z

354

ARM - Midlatitude Continental Convective Clouds  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Convective processes play a critical role in the Earth's energy balance through the redistribution of heat and moisture in the atmosphere and their link to the hydrological cycle. Accurate representation of convective processes in numerical models is vital towards improving current and future simulations of Earths climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales important to convective processes and therefore must turn to parameterization schemes to represent these processes. In turn, parameterization schemes in cloud-resolving models need to be evaluated for their generality and application to a variety of atmospheric conditions. Data from field campaigns with appropriate forcing descriptors have been traditionally used by modelers for evaluating and improving parameterization schemes.

Jensen, Mike; Bartholomew, Mary Jane; Genio, Anthony Del; Giangrande, Scott; Kollias, Pavlos

355

Chemical Composition and Cloud Nucleation Ability of Marine Aerosol  

E-Print Network [OSTI]

This study is focused on the chemical composition and cloud nucleation ability of marine aerosol based on two cruise researches over Pacific Ocean and North Atlantic Ocean respectively. Implications of CLAW hypothesis and the factors influencing its...

Deng, Chunhua

2013-12-12T23:59:59.000Z

356

ARM - PI Product - Cloud Property Retrieval Products for Graciosa...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Cloud Property Retrieval Products for Graciosa Island, Azores research data - ASR funded ...

357

Low-Frequency Resonant Scattering of Bubble Clouds  

Science Journals Connector (OSTI)

The acoustic properties of water can be drastically modified by a small amount of air content in the fluid. The dynamics of bubble clouds and their collected oscillation mechanisms are among topics of active research in underwater acoustics. In ...

Paul A. Hwang; William J. Teague

2000-06-01T23:59:59.000Z

358

Cloud Computing Synopsis and Recommendations  

Science Journals Connector (OSTI)

This document reprises the NIST-established definition of cloud computing, describes cloud computing benefits and open issues, presents an overview of major classes of cloud technology, and provides guidelines and recommendations on how organizations ... Keywords: cloud computing, computer security, virtualization

Mark Lee Badger; Timothy Grance; Robert Patt-Corner; Jeffery M, Voas

2012-05-01T23:59:59.000Z

359

Convective Cloud Lifecycles Lunchtime seminar  

E-Print Network [OSTI]

Convective Cloud Lifecycles Lunchtime seminar 19th May 2009 Bob Plant Department of Meteorology, University of Reading, UK #12;Introduction Obtain life cycle statistics for clouds in CRM simulations Why Conclusions Convective Cloud Lifecycles ­ p.1/3 #12;Why bother? Convective Cloud Lifecycles ­ p.2/3 #12;Some

Plant, Robert

360

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

clouds. The observations suggest that strong cloud-top cooling was necessary to produce well-mixed cloud layers. Clouds shielded from radiative cooling by overlaying...

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
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361

ARM Climate Research Facility Annual Report 2004  

SciTech Connect (OSTI)

Like a rock that slowly wears away beneath the pressure of a waterfall, planet earth?s climate is almost imperceptibly changing. Glaciers are getting smaller, droughts are lasting longer, and extreme weather events like fires, floods, and tornadoes are occurring with greater frequency. Why? Part of the answer is clouds and the amount of solar radiation they reflect or absorb. These two factors clouds and radiative transfer represent the greatest source of error and uncertainty in the current generation of general circulation models used for climate research and simulation. The U.S. Global Change Research Act of 1990 established an interagency program within the Executive Office of the President to coordinate U.S. agency-sponsored scientific research designed to monitor, understand, and predict changes in the global environment. To address the need for new research on clouds and radiation, the U.S. Department of Energy (DOE) established the Atmospheric Radiation Measurement (ARM) Program. As part of the DOE?s overall Climate Change Science Program, a primary objective of the ARM Program is improved scientific understanding of the fundamental physics related to interactions between clouds and radiative feedback processes in the atmosphere.

Voyles, J.

2004-12-31T23:59:59.000Z

362

3. New Cloud Climatology  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

New Cloud Climatology New Cloud Climatology Computed for the summers (May-Au- gust) 2000 through 2004 (Berg and Kassianov 2008). Uses ARSCL VAP, Total Sky Imager, and radar wind profiler. * * Initial Evaluation of the Cumulus Potential Scheme at the ACRF SGP Site Larry Berg, William Gustafson, and Evgueni Kassianov Pacific Northwest National Laboratory 1. Motivation Shallow clouds are poorly predicted by current global and regional scale models. A new parameterization has been devel- oped that links the boundary-layer turbu- lence and the shallow clouds. 2. The CuP Parameterization The Cumulus Potential (CuP) param- eterization uses Probability Density Functions (PDFs) of temperature and moisture to represent the subgrid scale

363

In Clouds We Trust  

Science Journals Connector (OSTI)

......can bring. Many have realised that giving a third party control of part of the IT infrastructure can help reduce capital expenditure and maximise asset utilisation to provide a quantitative return on investment (ROI). Cloud can also remove resource......

Jim Damoulakis

2010-03-01T23:59:59.000Z

364

Moving into the Cloud.  

E-Print Network [OSTI]

??Cloud computing is the notion of abstracting and outsourcing hardware or software resources over the Internet, often to a third party on a pay-as-you-go basis. (more)

Mikalsen, Christian

2009-01-01T23:59:59.000Z

365

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Dust in the Wind... and the Clouds... and the Atmosphere Dust in the Wind... and the Clouds... and the Atmosphere Submitter: Sassen, K., University of Alaska, Fairbanks Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Sassen, K., P.J. DeMott, J.M. Propsero, and M.R. Poellot, Saharan Dust Storms and Indirect Aerosol Effects on Clouds: CRYSTAL-FACE Results, Geophys. Res. Ltt., 30(12), 1633, doi:10/1029/2003GL017371, 2003. PDL linear depolarization ratio (color scale on top) and relative returned power (in gray scale) of height versus time displays obtained on July 29, 2002, during the CRYSTAL-FACE experiment. Depicted are strong depolarizing upper tropospheric clouds (~10km), aerosols (δ ~.10 to .15) extending up to ~5.5km, and at lower right (scale adjusted to account for signal

366

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Phase Determination Using Ground-Based AERI Observations at SHEBA Cloud Phase Determination Using Ground-Based AERI Observations at SHEBA Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Properties Journal Reference: Turner, D.D., S.A. Ackerman, B.A. Baum, H.E. Revercomb, and P. Yang, 2003: "Cloud Phase Determination Using Ground-Based AERI Observations at SHEBA," Journal of Applied Meteorology 42(6):701-715. The SHEBA experiment in Barrow, Alaska used data collected by the ground-based radiation observations from the Atmospheric Emitted Radiance Interferometer (AERI). (Photo Credit: SHEBA Project Office) Key Contributors: S.A. Ackerman, B.A. Baum, H.E. Revercomb, P. Yang, In the frigid environs of the Acrtic, ARM scientists at the North Slope of

367

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud-Top Humidity Inversions and the Maintenance of Arctic Mixed-Phase Cloud-Top Humidity Inversions and the Maintenance of Arctic Mixed-Phase Stratocumulus Submitter: Solomon, A., NOAA/ESRL/Physical Sciences Division Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Solomon A, MD Shupe, O Persson, and H Morrison. 2011. "Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion." Atmospheric Chemistry and Physics, 11, doi:10.5194/acp-11-10127-2011. Soundings of mid-day decoupled stratocumulus at Barrow, Alaska. (A) Measured 17:34Z 8 April 2008 at (71.33N,156.61W). (B) 50-m LES simulation 20Z 8 April 2008 at (71.33N,156.91W). Gray shading marks the extent of the

368

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Case Closed on Nauru Island Effect Case Closed on Nauru Island Effect Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Long CN and SA McFarlane. 2012. "Quantification of the impact of Nauru Island on ARM measurements." Journal of Applied Meteorology and Climatology, 51(3), 628-636. McFarlane SA, CN Long, and DM Flynn. 2005. "Impact of island-induced clouds on surface measurements: analysis of the ARM Nauru Island Effect Study data." Journal of Applied Meteorology, 44, 1045-1065. Conceptual model of the Nauru Island Effect and production of cloud plume. Approximate ARM Nauru site location is shown on the western side of the

369

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Increased Accuracy for Sky Imager Retrievals Increased Accuracy for Sky Imager Retrievals Download a printable PDF Submitter: Long, C. N., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Long CN. 2010. "Correcting for circumsolar and near-horizon errors in sky cover retrievals from sky images." The Open Atmospheric Science Journal, 4, doi:10.2174/1874282301004010045. Long CN, JM Sabburg, J Calbo, and D Pages. 2006. "Retrieving cloud characteristics from ground-based daytime all-sky images." Journal of Atmospheric and Oceanic Technology, 23, 633-652. Sample sky image (left) and corresponding cloud decision image (right) showing an example of the over-estimating problem. White and gray in the

370

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Integrated Water Vapor and Cloud Liquid Water at MCTEX Integrated Water Vapor and Cloud Liquid Water at MCTEX Submitter: Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Integrated water vapor and cloud liquid water measurements were obtained during the Maritime Continent Thunderstorm Experiment (MCTEX) by Eugene Clothiaux and Tom Ackerman of Penn State University using an ARM microwave radiometer. The radiometer was deployed at Pularumpi, Melville Island (11.55 S, 130.56 E) off the north coast of Australia for November-December 1995. Time series of these results are shown in Figure 1. Time series of integrated or "precipitable" water vapor (PWV) and liquid

371

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Influence of Humidified Aerosols on Lidar Depolarization Below Influence of Humidified Aerosols on Lidar Depolarization Below Ice-Precipitating Arctic Clouds Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies van Diedenhoven, B., NASA - Goddard Institute for Space Studies Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: van Diedenhoven B, AM Fridlind, and AS Ackerman. 2011. "Influence of humidified aerosol on lidar depolarization measurements below ice-precipitating Arctic stratus." Journal of Applied Meteorology and Climatology, 50(10), doi:10.1175/JAMC-D-11-037.1. Correlated MMCR radar reflectivities and DABUL lidar depolarizations below cloud base calculated with a reasonably low number of large, coarse-mode

372

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Intercomparison of Longwave Radiative Heating Algorithms Intercomparison of Longwave Radiative Heating Algorithms Submitter: Baer, F., University of Maryland Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Baer, F., N. Arsky, J. J. Charney, and R. G. Ellingson. 1996. "Intercomparison of Heating Rates Generated by Global Climate Model Longwave Radiation Codes." J. Geoph. Res., 101, D21, 26589-26603. 30 levels of longwave heating rates for all algorithms tested at the five locations for the high cloud Same as Figure 1 but with the clouds removed (clear sky assumption). Same as Figure 1 but a different view. Averaged heating rates and heating rates of averaged. Same as Figure 3 but with the clouds removed (clear sky assumption).

373

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Atmospheric Moistening by Clouds Sustains Madden-Julian Oscillation Atmospheric Moistening by Clouds Sustains Madden-Julian Oscillation Download a printable PDF Submitter: Hagos, S. M., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: N/A Outgoing longwave radiation (OLR Wm-2) signals in the tropics averaged between 10°S and 10°N from (a) a regional simulation with moisture constrained by observations and (b) NOAA-CPC satellite observations. The lines mark the eastward MJO propagation speed of 4 m/s. The constrained model is able to reproduce the key OLR features in the observations. Originating over the Indian Ocean, the Madden-Julian Oscillation (MJO) is an equatorial planetary-scale envelope of complex multi-scale cloud systems

374

The Magellan Final Report on Cloud Computing  

SciTech Connect (OSTI)

The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR), was to investigate the potential role of cloud computing in addressing the computing needs for the DOE Office of Science (SC), particularly related to serving the needs of mid- range computing and future data-intensive computing workloads. A set of research questions was formed to probe various aspects of cloud computing from performance, usability, and cost. To address these questions, a distributed testbed infrastructure was deployed at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Center (NERSC). The testbed was designed to be flexible and capable enough to explore a variety of computing models and hardware design points in order to understand the impact for various scientific applications. During the project, the testbed also served as a valuable resource to application scientists. Applications from a diverse set of projects such as MG-RAST (a metagenomics analysis server), the Joint Genome Institute, the STAR experiment at the Relativistic Heavy Ion Collider, and the Laser Interferometer Gravitational Wave Observatory (LIGO), were used by the Magellan project for benchmarking within the cloud, but the project teams were also able to accomplish important production science utilizing the Magellan cloud resources.

,; Coghlan, Susan; Yelick, Katherine

2011-12-21T23:59:59.000Z

375

6, 43414373, 2006 Cloud-borne aerosol  

E-Print Network [OSTI]

.g., par- ticle nucleation, coagulation, gravitational settling, dry deposition); some involve AP attached to a single type of cloud/precipitation particle (e.g., aqueous and heteroge-25 neous chemistry), and some, transformation, and removal processes on the attachment state, one might expect that model simulations

Paris-Sud XI, Université de

376

Novel, Magnetically Fluidized-Bed Reactor Development for the Looping Process: Coal to Hydrogen Production Research and Development  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Novel, Magnetically Fluidized-Bed Novel, Magnetically Fluidized-Bed Reactor Development for the Looping Process: Coal to Hydrogen Production Research and Development Background The U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) is committed to improving methods for co-producing power and chemicals, fuels, and hydrogen (H2). Gasification is a process by which fuels such as coal can be used to produce synthesis gas (syngas), a mixture of H2, carbon monoxide (CO), and carbon

377

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model  

SciTech Connect (OSTI)

A principal goal of the Atmospheric Radiation Measurement (ARM) Program is to understand the 3D cloud-radiation problem from scales ranging from the local to the size of global climate model (GCM) grid squares. For climate models using typical cloud overlap schemes, 3D radiative effects are minimal for all but the most complicated cloud fields. However, with the introduction of ''superparameterization'' methods, where sub-grid cloud processes are accounted for by embedding high resolution 2D cloud system resolving models within a GCM grid cell, the impact of 3D radiative effects on the local scale becomes increasingly relevant (Randall et al. 2003). In a recent study, we examined this issue by comparing the heating rates produced from a 3D and 1D shortwave radiative transfer model for a variety of radar derived cloud fields (O'Hirok and Gautier 2005). As demonstrated in Figure 1, the heating rate differences for a large convective field can be significant where 3D effects produce areas o f intense local heating. This finding, however, does not address the more important question of whether 3D radiative effects can alter the dynamics and structure of a cloud field. To investigate that issue we have incorporated a 3D radiative transfer algorithm into the Weather Research and Forecasting (WRF) model. Here, we present very preliminary findings of a comparison between cloud fields generated from a high resolution non-hydrostatic mesoscale numerical weather model using 1D and 3D radiative transfer codes.

O'Hirok, W.; Ricchiazzi, P.; Gautier, C.

2005-03-18T23:59:59.000Z

378

Migrating enterprise storage applications to the cloud  

E-Print Network [OSTI]

2.1 Cloud Providers . . . . . . . . . . . .2.1.1 Cloud Storage . . . . . . . . .2.1.2 Cloud Computation . . . . . . 2.2 Enterprise Storage

Vrable, Michael Daniel

2011-01-01T23:59:59.000Z

379

Low Cost Solar Array Project cell and module formation research area. Process research of non-CZ silicon material. Final report, November 26, 1980-September 30, 1983  

SciTech Connect (OSTI)

The primary objective of the work reported was to investigate high-risk, high-payoff research areas associated with the Westinghouse process for producing photovoltaic modules using non-Czochralski sheet material. These tasks were addressed: technical feasibility study of forming front and back junctions using liquid dopant techniques, liquid diffusion mask feasibility study, application studies of antireflective material using a meniscus coater, ion implantation compatibility/feasibility study, and cost analysis. (LEW)

Campbell, R.B.

1983-01-01T23:59:59.000Z

380

Prospects of the WSR-88D Radar for Cloud Studies  

E-Print Network [OSTI]

Sounding of nonprecipitating clouds with the 10-cm wavelength Weather Surveillance Radar-1988 Doppler (WSR-88D) is discussed. Readily available enhancements to signal processing and volume coverage patterns of the WSR-88D allow observations of a...

Melnikov, Valery M.; Zrni?, Dusan S.; Doviak, Richard J.; Chilson, Phillip B.; Mechem, David B.; Kogan, Yefim L.

2011-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

The Chemistry of Cold Interstellar Cloud Cores Eric Herbst  

E-Print Network [OSTI]

Chapter 1 The Chemistry of Cold Interstellar Cloud Cores Eric Herbst Department of Physics and Their Chemistry . . . . . . . . . . . . . 4 1.2 Gas-Phase Chemical Processes . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.4 Organic Chemistry . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 1.2.5 Negative

Millar, Tom

382

Thin Cloud Length Scales Using CALIPSO and CloudSat Data  

E-Print Network [OSTI]

Thin clouds are the most difficult cloud type to observe. The recent availability of joint cloud products from the active remote sensing instruments aboard CloudSat and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite (CALIPSO) facilitates...

Solbrig, Jeremy E.

2010-10-12T23:59:59.000Z

383

Scanning ARM Cloud Radars Part I: Operational Sampling Strategies  

SciTech Connect (OSTI)

Probing clouds in three-dimensions has never been done with scanning millimeter-wavelength (cloud) radars in a continuous operating environment. The acquisition of scanning cloud radars by the Atmospheric Radiation Measurement (ARM) program and research institutions around the world generate the need for developing operational scan strategies for cloud radars. Here, the first generation of sampling strategies for the Scanning ARM Cloud Radars (SACRs) is discussed. These scan strategies are designed to address the scientific objectives of the ARM program, however, they introduce an initial framework for operational scanning cloud radars. While the weather community uses scan strategies that are based on a sequence of scans at constant elevations, the SACRs scan strategies are based on a sequence of scans at constant azimuth. This is attributed to the cloud properties that are vastly different for rain and snow shafts that are the primary target of precipitation radars. A cloud surveillance scan strategy is introduced (HS-RHI) based on a sequence of horizon-to-horizon Range Height Indicator (RHI) scans that sample the hemispherical sky (HS). The HS-RHI scan strategy is repeated every 30 min to provide a static view of the cloud conditions around the SACR location. Between HS-RHI scan strategies other scan strategies are introduced depending on the cloud conditions. The SACRs are pointing vertically in the case of measurable precipitation at the ground. The radar reflectivities are corrected for water vapor attenuation and non-meteorological detection are removed. A hydrometeor detection mask is introduced based on the difference of cloud and noise statistics is discussed.

Kollias, Pavlos; Bharadwaj, Nitin; Widener, Kevin B.; Jo, Ieng; Johnson, Karen

2014-03-01T23:59:59.000Z

384

Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave radiometer data are systematically compared to models to quantify and  

E-Print Network [OSTI]

Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave a systematic evaluation of clouds in forecast models. Clouds and their associated microphysical processes for end users of weather forecasts, who may be interested not only in cloud cover, but in other variables

Hogan, Robin

385

Toward Understanding of Differences in Current Cloud Retrievals of ARM Ground-based Measurements  

SciTech Connect (OSTI)

Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models. However, large differences are found in current cloud products retrieved from ground-based remote sensing measurements using various retrieval algorithms. Understanding the differences is an important step to address uncertainties in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based cloud retrievals using ARM remote sensing measurements is carried out. We place emphasize on boundary layer overcast clouds and high level ice clouds, which are the focus of many current retrieval development efforts due to their radiative importance and relatively simple structure. Large systematic discrepancies in cloud microphysical properties are found in these two types of clouds among the nine cloud retrieval products, particularly for the cloud liquid and ice effective radius. It is shown that most of these large differences have their roots in the retrieval algorithms used by these cloud products, including the retrieval theoretical bases, assumptions, as well as input and constraint parameters. This study suggests the need to further validate current retrieval theories and assumptions and even the development of new retrieval algorithms with more observations under different cloud regimes.

Zhao, Chuanfeng; Xie, Shaocheng; Klein, Stephen A.; Protat, Alain; Shupe, Matthew D.; McFarlane, Sally A.; Comstock, Jennifer M.; Delanoe, Julien; Deng, Min; Dunn, Maureen; Hogan, Robin; Huang, Dong; Jensen, Michael; Mace, Gerald G.; McCoy, Renata; O'Conner, Ewan J.; Turner, Dave; Wang, Zhien

2012-05-30T23:59:59.000Z

386

pCloud: A Cloud-based Power Market Simulation Environment  

SciTech Connect (OSTI)

This research conducted by the Newton Energy Group, LLC (NEG) is dedicated to the development of pCloud: a Cloud-based Power Market Simulation Environment. pCloud is offering power industry stakeholders the capability to model electricity markets and is organized around the Software as a Service (SaaS) concept -- a software application delivery model in which software is centrally hosted and provided to many users via the internet. During the Phase I of this project NEG developed a prototype design for pCloud as a SaaS-based commercial service offering, system architecture supporting that design, ensured feasibility of key architecture's elements, formed technological partnerships and negotiated commercial agreements with partners, conducted market research and other related activities and secured funding for continue development of pCloud between the end of Phase I and beginning of Phase II, if awarded. Based on the results of Phase I activities, NEG has established that the development of a cloud-based power market simulation environment within the Windows Azure platform is technologically feasible, can be accomplished within the budget and timeframe available through the Phase II SBIR award with additional external funding. NEG believes that pCloud has the potential to become a game-changing technology for the modeling and analysis of electricity markets. This potential is due to the following critical advantages of pCloud over its competition: - Standardized access to advanced and proven power market simulators offered by third parties. - Automated parallelization of simulations and dynamic provisioning of computing resources on the cloud. This combination of automation and scalability dramatically reduces turn-around time while offering the capability to increase the number of analyzed scenarios by a factor of 10, 100 or even 1000. - Access to ready-to-use data and to cloud-based resources leading to a reduction in software, hardware, and IT costs. - Competitive pricing structure, which will make high-volume usage of simulation services affordable. - Availability and affordability of high quality power simulators, which presently only large corporate clients can afford, will level the playing field in developing regional energy policies, determining prudent cost recovery mechanisms and assuring just and reasonable rates to consumers. - Users that presently do not have the resources to internally maintain modeling capabilities will now be able to run simulations. This will invite more players into the industry, ultimately leading to more transparent and liquid power markets.

Rudkevich, Aleksandr; Goldis, Evgeniy

2012-12-02T23:59:59.000Z

387

A new approach for simultaneously retrieving cloud albedo and cloud fraction from surface-based shortwave radiation measurements  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ENVIRONMENTAL ENVIRONMENTAL RESEARCH LETTERS Environ. Res. Lett. 8 (2013) 044023 (9pp) doi:10.1088/1748-9326/8/4/044023 A new approach for simultaneously retrieving cloud albedo and cloud fraction from surface-based shortwave radiation measurements Yu Xie and Yangang Liu Environmental Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, USA E-mail: yxie@bnl.gov Received 27 June 2013 Accepted for publication 8 October 2013 Published 30 October 2013 Online at stacks.iop.org/ERL/8/044023 Abstract Surface-based measurements of shortwave (SW) radiative fluxes contain valuable information on cloud properties, but have not been fully used to infer those properties. Here a new analytical approach is presented that simultaneously infers cloud albedo and cloud fraction from surface-based measurements of total and direct radiative fluxes. An inspection of the

388

Ice Heating Up Cold Clouds | EMSL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Ice Heating Up Cold Clouds Ice Heating Up Cold Clouds In a heated battle, ice crystals win the competition for cloud water vapor The mighty cloud ice crystal appears deceptively...

389

Sulfate aerosols and polar stratospheric cloud formation  

SciTech Connect (OSTI)

Before the discovery of the Antarctic ozone hole, it was generally assumed that gas-phase chemical reactions controlled the abundance of stratospheric ozone. However, the massive springtime ozone losses over Antarctica first reported by Farman et al in 1985 could not be explained on the basis of gas-phase chemistry alone. In 1986, Solomon et al suggested that chemical reactions occurring on the surfaces of polar stratospheric clouds (PSCs) could be important for the observed ozone losses. Since that time, an explosion of laboratory, field, and theoretical research in heterogeneous atmospheric chemistry has occurred. Recent work has indicated that the most important heterogeneous reaction on PSCs is ClONO[sub 2] + HCl [yields] Cl[sub 2] + HNO[sub 3]. This reaction converts inert chlorine into photochemically active Cl[sub 2]. Photolysis of Cl[sub 2] then leads to chlorine radicals capable of destroying ozone through very efficient catalytic chain reactions. New observations during the second Airborne Arctic Stratospheric Expedition found stoichiometric loss of ClONO[sub 2] and HCl in air processed by PSCs in accordance with reaction 1. Attention is turning toward understanding what kinds of aerosols form in the stratospheric, their formation mechanism, surface area, and specific chemical reactivity. Some of the latest findings, which underline the importance of aerosols, were presented at a recent National Aeronautics and Space Administration workshop in Boulder, Colorado.

Tolbert, M.A. (Univ. of Colorado, Boulder, CO (United States))

1994-04-22T23:59:59.000Z

390

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Evaluate the Diurnal Cycle in the Multiscale Modeling Framework Using Evaluate the Diurnal Cycle in the Multiscale Modeling Framework Using Satellite and ARM Data Download a printable PDF Submitter: Zhang, Y., Lawrence Livermore National Laboratory Klein, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Zhang, Y, SA Klein, C Liu, B Tian, RT Marchand, JM Haynes, RB McCoy, Y Zhang, and TP Ackerman. 2008. "On the diurnal cycle of deep convection, high-level cloud, and upper troposphere water vapor in the Multiscale Modeling Framework." Journal of Geophysical Research 113, D16105, doi:10.1029/2008JD009905. Figure 1: Diurnal anomalies for tropical (left) ocean and (right) land: (top) the precipitation index (PI), high-level cloud (CLD) and upper

391

Cloud Condensation Nuclei Retrievals at Cloud Base in North Dakota  

E-Print Network [OSTI]

Cloud Condensation Nuclei Retrievals at Cloud Base in North Dakota · Mariusz Starzec #12;Motivation Compare University of Wyoming (UWyo) and Droplet Measurement Technologies (DMT) cloud condensation nuclei condensation nuclei concentration (CCNC) at any supersaturation (SS) #12;Background Aerosols act as nuclei

Delene, David J.

392

Cloud system resolving model simulations of tropical cloud systems observed during the Tropical  

E-Print Network [OSTI]

the Weather Research and Forecasting (WRF) model. The WRF model is configured with a highest-resolving domain convection. The second regime is a monsoon break, which contains intense localized systems that are rep-based observational systems including a polarimetric weather radar, cloud radar, wind profilers, radi- ation

Jakob, Christian

393

HNCO in molecular clouds  

SciTech Connect (OSTI)

In a survey of 18 molecular clouds, HNCO J/sub K/-1K1..-->..J'/sub K/'-1K'1 = 5/sub 05/..-->..4/sub 05/ and 4/sub 04/..-->..3/sub 03/ emission was etected in seven clouds, and possibly in one other. Emission in these transitions originates in high-density regions (n> or approx. =10/sup 6/ cm/sup -3/). The molecule's excitation requirements allow us to derive limits to excitation temperatures an optical depths. We discuss the possibility of clumping with respect to the beam and compare our results with data from other molecular species. The HNCO emission from Sgr A is an ordder of magnitude larger than the other detected sources as is the ratio ..delta..T +- /sub A/(HNCO 5/sub 05/..-->..4/sub 04/)/..delta..T +- /sub A/(C/sup 18/O 1..-->..0). HNCO is probably a constituent of most molecular clouds.

Jackson, J.M.; Armstrong, J.T.; Barrett, A.H.

1984-05-15T23:59:59.000Z

394

Attribution Analysis of Cloud Feedback  

E-Print Network [OSTI]

Uncertainty on cloud feedback is the primary contributor to the large spread of equilibrium climate sensitivity (ECS) in climate models. In this study, we compare the short-term cloud feedback in climate models with observations, and evaluate...

Zhou, Chen

2014-07-15T23:59:59.000Z

395

Constrained water cloud generator  

Science Journals Connector (OSTI)

The fast generation of large cloudy volumes with imposed cloud cover fractions and ambient vertical profiles is very important for the realistic simulation of atmospheric scenes. The model proposed here is the second step of a two-step model composed on the one hand of a volume generator based on a Fourier filtering method and on the other hand of a physical generator filling the volume with physical parameters. After a description of the general generation scheme, this paper focuses on the simulation of vertical profiles of water content (liquid, vapour) coupled with other state parameters (temperature, pressure, vertical velocity) via thermodynamic and hydrodynamic equations by local forcing of ambient conditions. The method for solving these equations is explained and applied to practical cases. First, by assuming that the actual temperature at the cloud base is equal to the dew temperature and by imposing a moist pseudo-adiabatic temperature gradient between the cloud top and bottom, the temperature profile in the cloud is found. When conditional instability occurs, the initial temperature profile between the ground and the cloud base is iteratively shifted to lower values until absolute stability is reached. Then the liquid water content is calculated by integrating the equation of water conservation, and the water vapour content by assuming that the cloud is everywhere saturated. Eventually, the vertical velocity is estimated by integration of the momentum equation. This method gives results in good agreement with published measurements, analytical and numerical models. Eventually, further developments of the column model, including the effects of phase transitions, turbulence, horizontal motions and mixing with the surrounding medium, are proposed in the concluding section.

Roland P.H. Berton

2008-01-01T23:59:59.000Z

396

E-Print Network 3.0 - atmospheric processes research Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Roundtable Summary: , Center for Multiscale Modeling of Atmospheric Processes Colorado State University John Dunne, Ph... Exler Director, Office of Communications for...

397

Opaque cloud detection  

DOE Patents [OSTI]

A method of detecting clouds in a digital image comprising, for an area of the digital image, determining a reflectance value in at least three discrete electromagnetic spectrum bands, computing a first ratio of one reflectance value minus another reflectance value and the same two values added together, computing a second ratio of one reflectance value and another reflectance value, choosing one of the reflectance values, and concluding that an opaque cloud exists in the area if the results of each of the two computing steps and the choosing step fall within three corresponding predetermined ranges.

Roskovensky, John K. (Albuquerque, NM)

2009-01-20T23:59:59.000Z

398

Engineering aesthetics and aesthetic ergonomics: Theoretical foundations and a dual-process research methodology  

E-Print Network [OSTI]

Engineering aesthetics and aesthetic ergonomics: Theoretical foundations and a dual, Ann Arbor, MI, 48109-2117, USA Keywords: Engineering aesthetics; Aesthetic ergonomics; Aesthetic human judgments and `educated guesses'. Whilst ergonomics and human factors researchers have made great

Liu, Yili

399

E-Print Network 3.0 - area process research Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

April 2011 Together with teaching and community service, research is one of the three pillars of the University of Summary: themes and eight sub-themes that reflect areas of...

400

Cloud Resource Orchestration: A Data-Centric Approach Changbin Liu Yun Mao Jacobus Van der Merwe Mary Fernndez  

E-Print Network [OSTI]

Cloud Resource Orchestration: A Data-Centric Approach Changbin Liu Yun Mao Jacobus Van der Merwe Mary Fernández AT&T Labs - Research University of Pennsylvania ABSTRACT Cloud computing provides users virtualization of the underlying physical infrastructure. However, the scale and highly dynamic nature of cloud

Fisher, Kathleen

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Long-lived artificial ion clouds in the earth's ionosphere  

SciTech Connect (OSTI)

The authors report on two observations made over the Caribbean during the summer of 1991 of barium ion cloud releases, ten hours after the clouds were released. One release was made in the morning twilight, and one in the evening twilight, and each was observed again in the following twilight period by a low light level TV imager and a TV spectrograph onboard a Russian research vessel. These observations were very surprising at the time, but the authors present arguments as to why in retrospect they may not be so unusual in practise. Such cloud releases may provide very sensitive tests of ionspheric convection models.

Milinevsky, G.P. (Kiev Univ., Ukraine (Russian Federation)); Kashirin, A.I. (NPO Typhoon, Obninsk (Russian Federation)); Romanovsky, Yu.A. (Institute of Applied Geophysics, Moscow (Russian Federation)); Stenbaek-Nielson, H.C. (Univ. of Alaska, Fairbanks (United States)); Kelley, M.C. (Cornell Univ., Ithaca, NY (United States))

1993-06-07T23:59:59.000Z

402

NCCR Digital Fabrication Innovative Building Processes in Architecture A new national research initiative  

E-Print Network [OSTI]

NCCR Digital Fabrication ­Innovative Building Processes in Architecture 14.05.2014 A new national and a resulting enhancement in the quality and sustainability of our built environment. To address the use) to investigate Digital Fabrication ­ Innovative Building Processes in Architecture. Global Challenges The rapidly

Lygeros, John

403

5, 60136039, 2005 FRESCO cloud  

E-Print Network [OSTI]

ACPD 5, 6013­6039, 2005 FRESCO cloud algorithm N. Fournier et al. Title Page Abstract Introduction cloud information over deserts from SCIAMACHY O2 A-band N. Fournier 1 , P. Stammes 1 , M. de Graaf 1 , R, 6013­6039, 2005 FRESCO cloud algorithm N. Fournier et al. Title Page Abstract Introduction Conclusions

Paris-Sud XI, Université de

404

3, 33013333, 2003 Cirrus cloud  

E-Print Network [OSTI]

ACPD 3, 3301­3333, 2003 Cirrus cloud occurrence as function of ambient relative humidity J. Str and Physics Discussions Cirrus cloud occurrence as function of ambient relative humidity: A comparison¨om (johan@itm.su.se) 3301 #12;ACPD 3, 3301­3333, 2003 Cirrus cloud occurrence as function of ambient

Paris-Sud XI, Université de

405

8, 96979729, 2008 FRESCO+ cloud  

E-Print Network [OSTI]

ACPD 8, 9697­9729, 2008 FRESCO+ cloud retrieval algorithm P. Wang et al. Title Page Abstract Chemistry and Physics Discussions FRESCO+: an improved O2 A-band cloud retrieval algorithm for tropospheric on behalf of the European Geosciences Union. 9697 #12;ACPD 8, 9697­9729, 2008 FRESCO+ cloud retrieval

Paris-Sud XI, Université de

406

Cloud Formation, Evolution and Destruction  

E-Print Network [OSTI]

Chapter 4 Cloud Formation, Evolution and Destruction We now begin to trace the journey towards a star. How long does this take? The answer is surprisingly short: a good many clouds already contain new stars and these stars tend to be young. The typical cloud cannot spend long, if any time at all

Estalella, Robert

407

Who is this cloud?  

Science Journals Connector (OSTI)

WHO IS THIS CLOUD? is a generative artwork in progress. It is a piece of art dedicated to the memory of a loved one and the idea of existence and transformation. The computer "Beings" will be animated according to their inner program, to weather sensors ... Keywords: Turing pattern, artificial life art, cellular automata, generative art, transhumanism

Lola B. Deswarte; Alain Lioret; Barbara Tannery

2012-03-01T23:59:59.000Z

408

Proceedings of ERAD (2002): 95103 c Copernicus GmbH 2002 Extraction and analysis of structural features in cloud radar and  

E-Print Network [OSTI]

. Zhariy3 , P. Maa?3 , and K. Sassen4 1 GKSS Research Center, Institute for Coastal Research, Geesthacht the morphology of cloud fields as well as cloud internal structure. The GKSS 95 GHz cloud radar: M. Quante (markus.quante@gkss.de) is of importance for the development of strategies and codes

Teschke, Gerd

409

RESEARCH AND DEVELOPMENT OF AN INTEGRAL SEPARATOR FOR A CENTRIFUGAL GAS PROCESSING FACILITY  

SciTech Connect (OSTI)

A COMPACT GAS PROCESSING DEVICE WAS INVESTIGATED TO INCREASE GAS PRODUCTION FROM REMOTE, PREVIOUSLY UN-ECONOMIC RESOURCES. THE UNIT WAS TESTED ON AIR AND WATER AND WITH NATURAL GAS AND LIQUID. RESULTS ARE REPORTED WITH RECOMMENDATIONS FOR FUTURE WORK.

LANCE HAYS

2007-02-27T23:59:59.000Z

410

Research on the evolvement of morphology of coking coal during the coking process  

Science Journals Connector (OSTI)

Abstract The evolvement of morphology and structure of the coal with different metamorphic degrees during coking process in the vertical furnace was investigated by infrared Image detector. Moreover, the temperature distribution in the radial direction and the crack formation were also studied in heating process. The results show that the amount of crack and the shrinkage level of char decrease with the coal rank rising. In addition, the initial temperature of crack formation for char increases with the coal rank rising.

Xiangyun Zhong; Shiyong Wu; Yang Liu; Zhenning Zhao; Yaru Zhang; Jinfeng Bai; Jun Xu; Bai Xi

2013-01-01T23:59:59.000Z

411

Toward understanding of differences in current cloud retrievals of ARM ground-based measurements  

SciTech Connect (OSTI)

Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models and better estimate of the Earth radiative budget. However, large differences are found in current cloud products retrieved from ground-based remote sensing measurements using various retrieval algorithms. Understanding the differences is an important step to address uncertainties in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based cloud retrievals using ARM remote sensing measurements is carried out. We place emphasis on boundary layer overcast clouds and high level ice clouds, which are the focus of many current retrieval development efforts due to their radiative importance and relatively simple structure. Large systematic discrepancies in cloud microphysical properties are found in these two types of clouds among the nine cloud retrieval products, particularly for the cloud liquid and ice particle effective radius. Note that the differences among some retrieval products are even larger than the prescribed uncertainties reported by the retrieval algorithm developers. It is shown that most of these large differences have their roots in the retrieval theoretical bases, assumptions, as well as input and constraint parameters. This study suggests the need to further validate current retrieval theories and assumptions and even the development of new retrieval algorithms with more observations under different cloud regimes.

Zhao C.; Dunn M.; Xie, S.; Klein, S. A.; Protat, A.; Shupe, M. D.; McFarlane, S. A.; Comstock, J. M.; Delano, J.; Deng, M.; Hogan, R. J.; Huang, D.; Jensen, M. P.; Mace, G. G.; McCoy, R.; OConnor, E. J.; Turner, D. D.; Wang, Z.

2012-05-30T23:59:59.000Z

412

Unlocking the Secrets of Clouds | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Unlocking the Secrets of Clouds Unlocking the Secrets of Clouds Unlocking the Secrets of Clouds December 10, 2010 - 10:42am Addthis An ARM mobile research facility deployed in Steamboat Springs, CO, to begin replacing measurement methods that formerly took years and had to be done using costly aircraft operations. | Energy Department Photo | Courtesy of Atmospheric Radiation Measurement (ARM) Climate and Research Facility | An ARM mobile research facility deployed in Steamboat Springs, CO, to begin replacing measurement methods that formerly took years and had to be done using costly aircraft operations. | Energy Department Photo | Courtesy of Atmospheric Radiation Measurement (ARM) Climate and Research Facility | Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs

413

ARM - Field Campaign - Ground-based Cloud Tomography Experiment at SGP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsGround-based Cloud Tomography Experiment at SGP govCampaignsGround-based Cloud Tomography Experiment at SGP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Ground-based Cloud Tomography Experiment at SGP 2009.05.26 - 2009.07.17 Lead Scientist : Dong Huang For data sets, see below. Description Knowledge of 3D cloud properties is pressingly needed in many research fields. One of the problems encountered when trying to represent 3D cloud fields in numerical models is that the existing techniques cannot provide necessary observations at the required spatial scale and resolution. We tested a new promising technique for measuring 3D cloud microphysical structure, called cloud microwave tomography, at the Southern Great Plains (SGP) site for one month in late April 2009. Five microwave scanning

414

Using ARM data to correct plane-parallel satellite retrievals of cloud  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Using ARM data to correct plane-parallel satellite retrievals of cloud Using ARM data to correct plane-parallel satellite retrievals of cloud properties Dong, Xiquan University of North Dakota Minnis, Patrick NASA Langley Research Center Xi, Baike University of North Dakota Khaiyer, Mandana Analytical Services and Material, Inc. Category: Cloud Properties The angular variations of cloud properties derived from GOES data are examined using simultaneously collocated ARM surface observations/retrievals at the DOE ARM SGP site during the 6-yr period from January 1997 to December 2002. The dependencies of GOES cloud retrievals on solar zenith angle (SZA), scattering angle (SCA), and relative azimuth angle (RZA) are investigated for single-layer and overcast low-level stratus clouds. The GOES-retrieved cloud-droplet effective radius (re),

415

BIASES IN PARAMETERIZED AUTOCONVERSION AND ACCRETION RATES DUE TO SUBGRID VARIATIONS AND CORRELATIONS OF CLOUD WATER, DROPLET  

E-Print Network [OSTI]

AND CORRELATIONS OF CLOUD WATER, DROPLET NUMBER, AND DRIZZLE WATER J. Wang, G. Senum, Y. Liu, P. Daum, L. Kleinman for the United States Department of Energy under Contract No. DE-AC02-98CH10886 ABSTRACT Small scale processes of cloud water to drizzle water; its rate is often parameterized as a function of local cloud water content

416

Cloud tracking with optical flow for short-term solar forecasting Philip Wood-Bradley, Jos Zapata, John Pye  

E-Print Network [OSTI]

Cloud tracking with optical flow for short-term solar forecasting Philip Wood-Bradley, José Zapata: John Pye ­ john.pye@anu.edu.au 1. Abstract A method for tracking and predicting cloud movement using apart with a size of 640 by 480 pixels, were processed to determine the time taken for clouds to reach

417

Salt Processing at the Savannah River Site: Results of Technology Down-Selection and Research and Development to Support New Salt Waste Processing Facility  

SciTech Connect (OSTI)

The Department of Energy's (DOE) Savannah River Site (SRS) high-level waste (HLW) program is responsible for storage, treatment, and immobilization of HLW for disposal. The Salt Processing Project (SPP) is the salt waste (water-soluble) treatment portion of this effort. The overall SPP encompasses the selection, design, construction, and operation of technologies to prepare the salt-waste feed material for immobilization at the site's Saltstone Production Facility (SPF) and vitrification facility (Defense Waste Processing Facility [DWPF]). Major constituents that must be removed from the salt waste and sent as feed to DWPF include cesium (Cs), strontium (Sr), and actinides. In April 2000, the DOE Deputy Secretary for Project Completion (EM-40) established the SRS Salt Processing Project Technical Working Group (TWG) to manage technology development of treatment alternatives for SRS high-level salt wastes. The separation alternatives investigated included three candidate Cs-removal processes selected, as well as actinide and Sr removal that are also required as a part of each process. The candidate Cs-removal processes are: crystalline Silicotitanate Non-Elutable Ion Exchange (CST); caustic Side Solvent Extraction (CSSX); and small Tank Tetraphenylborate Precipitation (STTP). The Tanks Focus Area was asked to assist DOE by managing the SPP research and development (R&D), revising roadmaps, and developing down-selection criteria. The down-selection decision process focused its analysis on three levels: (a) identification of goals that the selected technology should achieve, (b) selection criteria that are a measure of performance of the goal, and (c) criteria scoring and weighting for each technology alternative. After identifying the goals and criteria, the TWG analyzed R&D results and engineering data and scored the technology alternatives versus the criteria. Based their analysis and scoring, the TWG recommended CSSX as the preferred alternative. This recommendation was formalized in July 2001 when DOE published the Savannah River Site Salt Processing Alternatives Final Supplemental Environmental Impact Statement (SEIS) and was finalized in the DOE Record of Decision issued in October 2001.

Lang, K.; Gerdes, K.; Picha, K.; Spader, W.; McCullough, J.; Reynolds, J.; Morin, J. P.; Harmon, H. D.

2002-02-26T23:59:59.000Z

418

REVISED FINAL REPORT INDEPENDENT VERIFICATION SURVEY ACTIVITIES AT THE SEPARATIONS PROCESS RESEARCH UNIT SITES, NISKAYUNA, NEW YORK DCN 0496-SR-06-1  

SciTech Connect (OSTI)

The Separations Process Research Unit (SPRU) complex located on the Knolls Atomic Power Laboratory (KAPL) site in Niskayuna, New York, was constructed in the late 1940s to research the chemical separation of plutonium and uranium (Figure A-1). SPRU operated as a laboratory scale research facility between February 1950 and October 1953. The research activities ceased following the successful development of the reduction oxidation and plutonium/uranium extraction processes. The oxidation and extraction processes were subsequently developed for large scale use by the Hanford and Savannah River sites (aRc 2008a). Decommissioning of the SPRU facilities began in October 1953 and continued through the 1990s.

Evan Harpenau

2011-10-10T23:59:59.000Z

419

Factors influencing the microphysics and radiative properties of liquid-dominated Arctic clouds: insight from observations of aerosol and clouds during ISDAC  

SciTech Connect (OSTI)

Aircraft measurements during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) in April 2008 are used to investigate aerosol indirect effects in Arctic clouds. Two aerosol-cloud regimes are considered in this analysis: single-layer stratocumulus cloud with below-cloud aerosol concentrations (N{sub a}) below 300 cm{sup -3} on April 8 and April 26-27 (clean cases); and inhomogeneous layered cloud with N{sub a} > 500 cm{sup -3} below cloud base on April 19-20, concurrent with a biomass burning episode (polluted cases). Vertical profiles through cloud in each regime are used to determine average cloud microphysical and optical properties. Positive correlations between the cloud droplet effective radius (Re) and cloud optical depth ({tau}) are observed for both clean and polluted cases, which are characteristic of optically-thin, non-precipitating clouds. Average Re values for each case are {approx} 6.2 {mu}m, despite significantly higher droplet number concentrations (Nd) in the polluted cases. The apparent independence of Re and Nd simplifies the description of indirect effects, such that {tau} and the cloud albedo (A) can be described by relatively simple functions of the cloud liquid water path. Adiabatic cloud parcel model simulations show that the marked differences in Na between the regimes account largely for differences in droplet activation, but that the properties of precursor aerosol also play a role, particularly for polluted cases where competition for vapour amongst the more numerous particles limits activation to larger and/or more hygroscopic particles. The similarity of Re for clean and polluted cases is attributed to compensating droplet growth processes for different initial droplet size distributions.

Earle, Michael; Liu, Peter S.; Strapp, J. Walter; Zelenyuk, Alla; Imre, D.; McFarquhar, Greg; Shantz, Nicole C.; Leaitch, W. R.

2011-11-04T23:59:59.000Z

420

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Preferred States of the Winter Arctic Atmosphere, Surface, and Sub-Surface Preferred States of the Winter Arctic Atmosphere, Surface, and Sub-Surface Download a printable PDF Submitter: Del Genio, A. D., NASA Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: Stramler K, AD Del Genio, and WB Rossow. 2011. "Synoptically driven Arctic winter states." Journal of Climate, 24(6), doi:10.1175/2010JCLI3817.1. SHEBA winter hourly surface net (down - up) longwave radiation flux versus surface temperature. Blue circles indicate times when a combined radar-lidar cloud detection indicated clear skies, and red plus signs indicate times when clouds were detected. Time series of SHEBA winter hourly temperatures at the atmospheric temperature inversion altitude (magenta), surface (black), snow-sea ice

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While these samples are representative of the content of NLEBeta,
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421

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Single-Column Modeling, GCM Parameterizations and ARM Data Single-Column Modeling, GCM Parameterizations and ARM Data Submitter: Somerville, R. C., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Randall, D.A., K.-M. Xu, R.C.J. Somerville, and S. Iacobellis, 1996: "Single-Column Models and Cloud Ensemble Models as Links between Observations and Climate Models," J. Climate 9(8)1683-1697. Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 We have developed a Single-Column Model (SCM) to validate GCM cloud-radiation parameterizations against ARM observational data. The SCM is a computationally efficient one-dimensional representation of the atmospheric column overlying a single GCM grid cell. The SCM is integrated

422

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Validating Single Column Models with ARM Data Validating Single Column Models with ARM Data Submitter: Somerville, R. C., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Iacobellis, S.F., McFarquhar, G.M., Mitchell, D.L., and Somerville, R.C.J., 2003: "The Sensitivity of Radiative Fluxes to Parameterized Cloud Microphysics," J. Climate 16(18): 2979-2996. Scientists validated the results of both models by comparing them with the solar radiation as measured by the ARM instruments in the same grid cell. Scientists compared predictions of two models (red and blue lines) with measurements taken by ARM instruments (yellow line) at the same location. The models predict the amount and optical properties of clouds and the

423

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Critical Evaluation of the ICARUS Portion of the ISCCP Simulator Using ARM Critical Evaluation of the ICARUS Portion of the ISCCP Simulator Using ARM Data Download a printable PDF Submitter: Mace, G., Utah State University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Mace GG, S Houser, S Benson, SA Klein, and QL Min. 2011. "Critical evaluation of the ISCCP simulator using ground-based remote sensing data." Journal of Climate, 24(6), doi:10.1175/2010JCLI3517.1. Figure 1. Comparison of actual cloud top pressure from ARM remote sensors compared to ISCCP (top) and after the ICARUS algorithm has been used to convert the measured cloud top pressures to ISCCP-like quantities (bottom). Figure 2. Comparison of various measures of optical depth. Top left shows

424

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Multifractal Analysis of Radiation in Clouds: 5000km to 50cm Multifractal Analysis of Radiation in Clouds: 5000km to 50cm Submitter: Lovejoy, S., McGill University Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Lovejoy, S., D. Schertzer, J. D. Stanway, 2001: "Direct Evidence of planetary scale atmospheric cascade dynamics," Phys. Rev. Lett. 86(22): 5200-5203. Left: Power spectrum of the 5 different aircraft measured liquid water data sets from the FIRE experiment (averaged over 10 equally logarithmically spaced points on the k-axis and vertically offset). The absolute slopes with Β = 1.45 is indicated (straight line on top of graph) for reference. The number of sets used to compute the average from top to bottom: 4, 3, 1, 2, 5. A constant aircraft speed of 100m/s has been assumed. Right: Ensemble

425

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and absorb more infrared radiation than water clouds, in essence enhancing the "greenhouse effect." Members of the ARM Cloud Properties Working Group who specialize in ice cloud...

426

Testing Cloud Microphysics Parameterizations in NCAR CAM5 with ISDAC and M-PACE Observations  

SciTech Connect (OSTI)

Arctic clouds simulated by the NCAR Community Atmospheric Model version 5 (CAM5) are evaluated with observations from the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Indirect and Semi-Direct Aerosol Campaign (ISDAC) and Mixed-Phase Arctic Cloud Experiment (M-PACE), which were conducted at its North Slope of Alaska site in April 2008 and October 2004, respectively. Model forecasts for the Arctic Spring and Fall seasons performed under the Cloud- Associated Parameterizations Testbed (CAPT) framework generally reproduce the spatial distributions of cloud fraction for single-layer boundary layer mixed-phase stratocumulus, and multilayer or deep frontal clouds. However, for low-level clouds, the model significantly underestimates the observed cloud liquid water content in both seasons and cloud fraction in the Spring season. As a result, CAM5 significantly underestimates the surface downward longwave (LW) radiative fluxes by 20-40 W m-2. The model with a new ice nucleation parameterization moderately improves the model simulations by increasing cloud liquid water content in mixed-phase clouds through the reduction of the conversion rate from cloud liquid to ice by the Wegener-Bergeron- Findeisen (WBF) process. The CAM5 single column model testing shows that change in the homogeneous freezing temperature of rain to form snow from -5 C to -40 C has a substantial impact on the modeled liquid water content through the slowing-down of liquid and rain-related processes. In contrast, collections of cloud ice by snow and cloud liquid by rain are of minor importance for single-layer boundary layer mixed-phase clouds in the Arctic.

Liu, Xiaohong; Xie, Shaocheng; Boyle, James; Klein, Stephen A.; Shi, Xiangjun; Wang, Zhien; Lin, Wuyin; Ghan, Steven J.; Earle, Michael; Liu, Peter; Zelenyuk, Alla

2011-12-24T23:59:59.000Z

427

Cloud Retrievals from Landsat-7 During ARESE II  

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Cloud Retrievals from Landsat-7 During ARESE II Cloud Retrievals from Landsat-7 During ARESE II L. Oreopoulos, G. Wen, and A. Marshak Joint Center for Earth Systems Technology University of Maryland Baltimore County Baltimore, Maryland R. F. Cahalan National Aeronautics and Space Administration Goddard Space Flight Center Climate and Radiation Branch Greenbelt, Maryland D. Kratz National Aeronautics and Space Administration Langley Research Center Radiation and Aerosols Branch Hampton, Virginia Background on Landsat-7 While for most Landsat data users clouds are contaminants that should be avoided whenever possible, our group takes advantage of the high spatial resolution of enhanced thematic mapper plus (ETM+) to study clouds at scales where three-dimensional (3D) radiative effects are important. This abstract

428

Cloud and Precipitation Fields Around Darwin in the Transition Season  

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and Precipitation Fields Around Darwin and Precipitation Fields Around Darwin in the Transition Season P. T. May Bureau of Meteorology Research Centre Melbourne, 3001, Victoria, Australia Introduction An interesting, and very relevant question, for the Atmospheric Radiation Measurement (ARM) Program is how cloud characteristics and their seasonal and diurnal variation changes across the tropics. In particular, how does he cloud field around the new SRCS site compare with nearby regions. Thus, the aim of this study is to look at the characteristics of clouds and precipitation in the area around Darwin and to compare the cloud statistics estimated from geostationary meteorological satellite (GMS) satellite data with other nearby regions. Towards this end, GMS satellite imagery and radar data from

429

Radiative Importance of ThinŽ Liquid Water Clouds  

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Program Program Accomplishments of the Cloud Properties Working Group (CPWG) August 2006 Cloud Radiative Forcing at the ARM Climate Research Facility: Using ARM Data to Establish Testable Metrics for GCM Predictions of Cloud Feedback Gerald Mace University of Utah, Salt Lake City, Utah The scientific underpinning of the Atmospheric Radiation Measurement (ARM) Program is largely based on the premise that long term ground-based measurements of certain quantities provide information sufficient to test the skill of general circulation models (GCMs) to predict radiative heating and cloud feedbacks (Stokes and Schwartz, 1994; Ackerman and Stokes, 2003). This hypothesis is based on the assumption that some set of long-term ground-based measurements provide sufficient information to characterize the physical state of the atmospheric

430

A Catalog of HI Clouds in the Large Magellanic Cloud  

E-Print Network [OSTI]

A 21 cm neutral hydrogen interferometric survey of the Large Magellanic Cloud (LMC) combined with the Parkes multi-beam HI single-dish survey clearly shows that the HI gas is distributed in the form of clumps or clouds. The HI clouds and clumps have been identified using a thresholding method with three separate brightness temperature thresholds ($T_b$). Each catalog of HI cloud candidates shows a power law relationship between the sizes and the velocity dispersions of the clouds roughly following the Larson Law scaling $\\sigma_v \\propto R^{0.5}$, with steeper indices associated with dynamically hot regions. The clouds in each catalog have roughly constant virial parameters as a function mass suggesting that that the clouds are all in roughly the same dynamical state, but the values of the virial parameter are significantly larger than unity showing that turbulent motions dominate gravity in these clouds. The mass distribution of the clouds is a power law with differential indices between -1.6 and -2.0 for the three catalogs. In contrast, the distribution of mean surface densities is a log-normal distribution.

S. Kim; E. Rosolowsky; Y. Lee; Y. Kim; Y. C. Jung; M. A. Dopita; B. G. Elmegreen; K. C. Freeman; R. J. Sault; M. J. Kesteven; D. McConnell; Y. -H. Chu

2007-06-28T23:59:59.000Z

431

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Raman Lidar Observations of Aerosol Humidification Near Clouds Raman Lidar Observations of Aerosol Humidification Near Clouds Submitter: Ferrare, R. A., NASA - Langley Research Center Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Ferrare, R., et al., Evaluation of Daytime Measurements of Aerosols and Water Vapor Made by an Operational Raman Lidar over the Southern Great Plains, J. Geophys. Res., 111, D05S08, doi:10.1029/2005JD005836, 2006. Relative humidity profiles derived from the Raman lidar during the ALIVE 2005 field experiment. Aerosol extinction profiles derived from the Raman lidar during the ALIVE 2005 field experiment. Aerosol humidification factor f(RH) from Raman lidar measured profiles of aerosol extinction and relative humidity. Upgrades to the Raman lidar at the ARM Climate Research Facility (ACRF)

432

Size of Cloud from Shadow  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Size of Cloud from Shadow Size of Cloud from Shadow Name: mike Status: other Grade: other Location: N/A Country: USA Date: Summer 2011 Question: I see a cloud and I see its shadow in a field - knowing high sun angles - is there a way of telling how far away the cloud is or how big? - I am thinking if the shadow is 30' wide and the sun is at 2:00 pm- ? Replies: Hi Mike, Try this, draw a small circle representing the Sun. Somewhere below this circle and maybe to the right, draw an oblong, make this oblong bigger than the circle. Now connect the leftmost edge of the circle with the leftmost edge of the oblong with a straight line. Do the same for the rightmost edges. The oblong now represent the shadow of a cloud on the ground, and the lines represent the rays of the sun passing along the edges of the cloud.

433

ARM - Measurement - Total cloud water  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

434

Cumulus Clouds and Reflected Sunlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cumulus Clouds and Reflected Sunlight Cumulus Clouds and Reflected Sunlight from Landsat ETM+ G. Wen and L. Oreopoulos National Aeronautics and Space Administration Goddard Space Flight Center University of Maryland Baltimore County Joint Center of Earth System Technology Greenbelt, Maryland R. F. Cahalan and S. C. Tsay National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt, Maryland Introduction Cumulus clouds attenuate solar radiation casting shows on the ground. Cumulus clouds can also enhance solar radiation in the clear region nearby. The enhancement of down-welling solar radiation has been observed at the ground level in the clear region near cumulus clouds (Mims and Frederick 1994). The additional diffuse radiation source from cumulus clouds makes the clear gaps appear to be

435

A multilayered analysis of energy security research and the energy supply process  

Science Journals Connector (OSTI)

Abstract After the Fukushima nuclear disaster, a reassessment of the energy system is needed in order to include such aspects as human security and resilience. More open and careful discussions are needed concerning the various risks and uncertainties of future energy options, both in Japan and globally. In this paper, we aim to offer a fundamental basis for discourse on energy security by analyzing the status and trends in academic publications on that issue. Our bibliometrics analysis indicates that research has shifted from promoting strategies for ensuring the self-sufficiency of the primary energy to diversification of the secondary energy supply chain by introducing energy networks consisting of an infrastructure established through international coordination. In the literature, the concept of energy security is ambiguous and allows for multiple interpretations. Our results illustrate the existence of highly multidisciplinary topics within energy security, which can be categorized into four perspectives: geopolitical, economic, policy related, and technological.

Eriko Kiriyama; Yuya Kajikawa

2014-01-01T23:59:59.000Z

436

BNL | Midlatitude Continental Convective Clouds Experiment (MC3E)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Midlatitude Continental Convective Clouds Experiment Midlatitude Continental Convective Clouds Experiment Convective processes play a critical role in the Earth's energy balance through the redistribution of heat and moisture in the atmosphere and their link to the hydrological cycle. Accurate representation of convective processes in numerical models is vital towards improving current and future simulations of Earths climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales important to convective processes and therefore must turn to parameterization schemes to represent these processes. In turn, parameterization schemes in cloud-resolving models need to be evaluated for their generality and application to a

437

Parameterizations of Cloud Microphysics and Indirect Aerosol Effects  

SciTech Connect (OSTI)

1. OVERVIEW Aerosols and especially their effect on clouds are one of the key components of the climate system and the hydrological cycle [Ramanathan et al., 2001]. Yet, the aerosol effect on clouds remains largely unknown and the processes involved not well understood. A recent report published by the National Academy of Science states "The greatest uncertainty about the aerosol climate forcing - indeed, the largest of all the uncertainties about global climate forcing - is probably the indirect effect of aerosols on clouds [NRC, 2001]." The aerosol effect on clouds is often categorized into the traditional "first indirect (i.e., Twomey)" effect on the cloud droplet sizes for a constant liquid water path [Twomey, 1977] and the "semi-direct" effect on cloud coverage [e.g., Ackerman et al., 2000]. Enhanced aerosol concentrations can also suppress warm rain processes by producing a narrow droplet spectrum that inhibits collision and coalescence processes [e.g., Squires and Twomey, 1961; Warner and Twomey, 1967; Warner, 1968; Rosenfeld, 1999]. The aerosol effect on precipitation processes, also known as the second type of aerosol indirect effect [Albrecht, 1989], is even more complex, especially for mixed-phase convective clouds. Table 1 summarizes the key observational studies identifying the microphysical properties, cloud characteristics, thermodynamics and dynamics associated with cloud systems from high-aerosol continental environments. For example, atmospheric aerosol concentrations can influence cloud droplet size distributions, warm-rain process, cold-rain process, cloud-top height, the depth of the mixed phase region, and occurrence of lightning. In addition, high aerosol concentrations in urban environments could affect precipitation variability by providing an enhanced source of cloud condensation nuclei (CCN). Hypotheses have been developed to explain the effect of urban regions on convection and precipitation [van den Heever and Cotton, 2007 and Shepherd, 2005]. Recently, a detailed spectral-bin microphysical scheme was implemented into the Goddard Cumulus Ensemble (GCE) model. Atmospheric aerosols are also described using number density size-distribution functions. A spectral-bin microphysical model is very expensive from a computational point of view and has only been implemented into the 2D version of the GCE at the present time. The model is tested by studying the evolution of deep tropical clouds in the west Pacific warm pool region and summertime convection over a mid-latitude continent with different concentrations of CCN: a low "clean" concentration and a high "dirty" concentration. The impact of atmospheric aerosol concentration on cloud and precipitation will be investigated. 2. MODEL DESCRIPTION AND CASE STUDIES 2.1 GCE MODEL The model used in this study is the 2D version of the GCE model. Modeled flow is anelastic. Second- or higher-order advection schemes can produce negative values in the solution. Thus, a Multi-dimensional Positive Definite Advection Transport Algorithm (MPDATA) has been implemented into the model. All scalar variables (potential temperature, water vapor, turbulent coefficient and all five hydrometeor classes) use forward time differencing and the MPDATA for advection. Dynamic variables, u, v and w, use a second-order accurate advection scheme and a leapfrog time integration (kinetic energy semi-conserving method). Short-wave (solar) and long-wave radiation as well as a subgrid-scale TKE turbulence scheme are also included in the model. Details of the model can be found in Tao and Simpson (1993) and Tao et al. (2003). 2.2 Microphysics (Bin Model) The formulation of the explicit spectral-bin microphysical processes is based on solving stochastic kinetic equations for the size distribution functions of water droplets (cloud droplets and raindrops), and six types of ice particles: pristine ice crystals (columnar and plate-like), snow (dendrites and aggregates), graupel and frozen drops/hail. Each type is described by a special size distribution function containing 33 categories (bin

Tao, Wei-Kuo [NASA/GSFC] [NASA/GSFC

2014-05-19T23:59:59.000Z

438

IONIZATION IN ATMOSPHERES OF BROWN DWARFS AND EXTRASOLAR PLANETS. III. BREAKDOWN CONDITIONS FOR MINERAL CLOUDS  

SciTech Connect (OSTI)

Electric discharges were detected directly in the cloudy atmospheres of Earth, Jupiter, and Saturn, are debatable for Venus, and indirectly inferred for Neptune and Uranus in our solar system. Sprites (and other types of transient luminous events) have been detected only on Earth, and are theoretically predicted for Jupiter, Saturn, and Venus. Cloud formation is a common phenomenon in ultra-cool atmospheres such as in brown dwarf and extrasolar planetary atmospheres. Cloud particles can be expected to carry considerable charges which may trigger discharge events via small-scale processes between individual cloud particles (intra-cloud discharges) or large-scale processes between clouds (inter-cloud discharges). We investigate electrostatic breakdown characteristics, like critical field strengths and critical charge densities per surface, to demonstrate under which conditions mineral clouds undergo electric discharge events which may trigger or be responsible for sporadic X-ray emission. We apply results from our kinetic dust cloud formation model that is part of the DRIFT-PHOENIX model atmosphere simulations. We present a first investigation of the dependence of the breakdown conditions in brown dwarf and giant gas exoplanets on the local gas-phase chemistry, the effective temperature, and primordial gas-phase metallicity. Our results suggest that different intra-cloud discharge processes dominate at different heights inside mineral clouds: local coronal (point discharges) and small-scale sparks at the bottom region of the cloud where the gas density is high, and flow discharges and large-scale sparks near, and maybe above, the cloud top. The comparison of the thermal degree of ionization and the number density of cloud particles allows us to suggest the efficiency with which discharges will occur in planetary atmospheres.

Helling, Ch.; Jardine, M.; Stark, C. [SUPA, School of Physics and Astronomy, University of St. Andrews, St. Andrews KY16 9SS (United Kingdom); Diver, D., E-mail: ch@leap2010.eu [SUPA, School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ (United Kingdom)

2013-04-20T23:59:59.000Z

439

Posters Cloud Microphysical and Radiative Properties Measured  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 7 Posters Cloud Microphysical and Radiative Properties Measured by Combined Lidar, Radar, and Infrared Radiometer W. L. Eberhard and J. M. Intrieri National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado K. P. Chan and G. Feingold Cooperative Institute for Research in Environmental Sciences Boulder, Colorado also an order of magnitude smaller. These features make simple approximations in scattering calculations adequate for some applications, e.g., Eberhard (1993a). They also provide some unique capabilities, especially the technique described below for measuring drop sizes. One of the four IDP tasks is to characterize cloud signatures obtained by CO 2 lidar. For instance, our earlier work discovered that depolarization from ice particles was almost

440

DR. DAVID J. DELENE ASSISTANT RESEARCH PROFESSOR  

E-Print Network [OSTI]

Zealand, West Africa and Saudi Arabia. RESEARCH INTERESTS: Atmospheric aerosols, cloud physics, weather: Current Research Projects Weather Modification Research in Saudi Arabia The project's goal is to access the microphysics of precipitation formation in the Saudi Arabia region. Airborne measurements of aerosol and cloud

Delene, David J.

Note: This page contains sample records for the topic "research cloud processes" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Chapter 23 - Emerging Security Challenges in Cloud Computing, from Infrastructure-Based Security to Proposed Provisioned Cloud Infrastructure  

Science Journals Connector (OSTI)

In this chapter, we discuss the threats, challenges, and guidance associated with securing an organizations core IT infrastructure at the network, host, and application levels in the cloud. According to the best knowledge of the authors, up to now, there are no research with this perspective on cloud security in the literature. This chapter represents our first discussion of this infrastructure security in the context of SPI service delivery models (SaaS, PaaS, and IaaS). Non-information security professionals are cautioned not to simply equate infrastructure security to infrastructure-as-a-service (IaaS) security. Although infrastructure security is more highly relevant to customers of IaaS, similar consideration should be given to providers platform-as-a-service (PaaS) and software-as-a-service (SaaS) environments, since they have ramifications to customer threat, risk, and compliance management. Another dimension is the cloud business model (public, private, and hybrid clouds), which is orthogonal to the SPI service delivery model; what we highlight is the relevance of discussion points as they apply to public and private clouds. When discussing public clouds, the scope of infrastructure security is limited to the layers of infrastructure that move beyond the organizations control and into the hands of service providers (i.e., when responsibility to a secure infrastructure is transferred to the cloud service provider [CSP], based on the SPI delivery model). Information in this chapter is critical for customers in gaining an understanding of what security a CSP provides and what security the customer is responsible for providing. This chapter discusses conceptual issues, basic requirements, and practical suggestions for designing dynamically configured security infrastructure provisioned on demand as part of the cloud-based infrastructure. We end this chapter by describing general-use cases for provisioning cloud infrastructure that provide bases for defining security infrastructure requirements.

Mohammad Reza Movahedisefat; Seyyed Mohammad Reza Farshchi; Davud Mohammadpur

2014-01-01T23:59:59.000Z

442

Climate zones for maritime clouds  

SciTech Connect (OSTI)

In this paper we use a commercially available lidar ceilometer to investigate how the basic structure of marine boundary-layer clouds varies for four different marine climate regimes. We obtained most of the data used in this analysis from ship-based ceilometer measurements recorded during several different atmospheric and oceanographic field programs conducted in the Atlantic and Pacific oceans. For comparison, we show the results obtained at a mid-latitude continental location and at an ice camp on the Arctic ice shelf. For each analyzed case, we use an extended time series to generate meaningful cloud base and cloud fraction statistics. The Vaisala CT 12K ceilometer uses a GaAs diode laser to produce short (150 ns), high-intensity pulses of infrared radiation (904 nm wavelength). The return signals from a large number of consecutive pulses are coherently summed to boost the signal-to-noise ratio. Each resulting 30-s profile of backscattered power (15-m resolution) is analyzed to detect cloud layers using a specified cloud detection limit. In addition to measurements of cloud base, the ceilometer can also provide information on cloud fraction using a time series of the {open_quotes}cloud{close_quotes} or {open_quotes} no cloud{close_quotes} status reported in the 30-s data.

White, A.B.; Ruffieux, D. [Univ. of Colorado, Boulder, CO (United States); [National Oceanic and Atmospheric Administration, Boulder, CO (United States); Fairall, C.W. [National Oceanic and Atmospheric Administration, Boulder, CO (United States)

1995-04-01T23:59:59.000Z

443

TC_CLOUD_REGIME.cdr  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Tropical cloud properties as a function of regime Regimes? Monsoon versus Break * Different synoptic vertical velocity profiles - Changes convective inhibition, corresponding...

444

Declarative Automated Cloud Resource Orchestration  

E-Print Network [OSTI]

orchestration · Cloud resource orchestration constraint optimization problems 4 Provider operational] · Orchestration procedures Transactions · Either commit or abort Distributed communication and optimization

Plotkin, Joshua B.

445

Posters Ship-Based Measurements of Cloud Optical Properties  

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7 7 Posters Ship-Based Measurements of Cloud Optical Properties During the Atlantic Stratocumulus Transition Experiment A. B. White Cooperative Institute for Research in Environmental Sciences University of Colorado at Boulder National Oceanic and Atmospheric Administration Boulder, Colorado C. W. Fairall National Oceanic and Atmospheric Administration Environmental Research Laboratories Environmental Technology Laboratory Boulder, Colorado Introduction The Atlantic Stratocumulus Transition Experiment (ASTEX), conducted in June 1992, was designed with the broad goal of improving the dynamical, radiative, and microphysical models of marine boundary layer (MBL) clouds. This goal was pursued by combining measurements from a number of different platforms including aircraft,

446

Climatological Data For Clouds Over the Globe From Surface Observations,  

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For Clouds Over the Globe From Surface Observations, For Clouds Over the Globe From Surface Observations, 1982-1991: The Total Cloud Edition (1994) (NDP-026a) data Data Investigators C. J. Hahn, S. G. Warren, and J. London Routine, synoptic surface weather reports from ships and land stations over the entire globe, for the10-year period December 1981 through November 1991, were processed for total cloud cover and the frequencies of occurrence of clear sky, sky-obscured due to precipitation, and sky-obscured due to fog. Archived data, consisting of various annual, seasonal and monthly averages, are provided in grid boxes that are typically 2.5° × 2.5° for land and 5° × 5° for ocean. Day and nighttime averages are also given separately for each season. Several derived quantities, such as interannual variations and annual and diurnal

447

Cloud Formation and Acceleration in a Radiative Environment  

E-Print Network [OSTI]

In a radiatively heated and cooled medium, the thermal instability is a plausible mechanism for forming clouds, while the radiation force provides a natural acceleration, especially when ions recombine and opacity increases. Here we extend Field's theory to self-consistently account for a radiation force resulting from bound-free and bound-bound transitions in the optically thin limit. We present physical arguments for clouds to be significantly accelerated by a radiation force due to lines during a nonlinear phase of the instability. To qualitatively illustrate our main points, we perform both one and two-dimensional (1-D/2-D) hydrodynamical simulations that allow us to study the nonlinear outcome of the evolution of thermally unstable gas subjected to this radiation force. Our 1-D simulations demonstrate that the thermal instability can produce long-lived clouds that reach a thermal equilibrium between radiative processes and thermal conduction, while the radiation force can indeed accelerate the clouds to ...

Proga, Daniel

2015-01-01T23:59:59.000Z

448

Environmental research on a modified in situ oil shale task process. Progress report  

SciTech Connect (OSTI)

This report summarizes the progress of the US Department of Energy's Oil Shale Task Force in its research program at the Occidental Oil Shale, Inc. facility at Logan Wash, Colorado. More specifically, the Task Force obtained samples from Retort 3E and Retort 6 and submitted these samples to a variety of analyses. The samples collected included: crude oil (Retort 6); light oil (Retort 6); product water (Retort 6); boiler blowdown (Retort 6); makeup water (Retort 6); mine sump water; groundwater; water from Retorts 1 through 5; retort gas (Retort 6); mine air; mine dust; and spent shale core (Retort 3E). The locations of the sampling points and methods used for collection and storage are discussed in Chapter 2 (Characterization). These samples were then distributed to the various laboratories and universities participating in the Task Force. For convenience in organizing the data, it is useful to group the work into three categories: Characterization, Leaching, and Health Effects. While many samples still have not been analyzed and much of the data remains to be interpreted, there are some preliminary conclusions the Task Force feels will be helpful in defining future needs and establishing priorities. It is important to note that drilling agents other than water were used in the recovery of the core from Retort 3E. These agents have been analyzed (see Table 12 in Chapter 2) for several constituents of interest. As a result some of the analyses of this core sample and leachates must be considered tentative.

Not Available

1980-05-01T23:59:59.000Z

449

Study of Mechanisms of Aerosol Indirect Effects on Glaciated Clouds: Progress during the Project Final Technical Report  

SciTech Connect (OSTI)

This 3-year project has studied how aerosol pollution influences glaciated clouds. The tool applied has been an 'aerosol-cloud model'. It is a type of Cloud-System Resolving Model (CSRM) modified to include 2-moment bulk microphysics and 7 aerosol species, as described by Phillips et al. (2009, 2013). The study has been done by, first, improving the model and then performing sensitivity studies with validated simulations of a couple of observed cases from ARM. These are namely the Tropical Warm Pool International Cloud Experiment (TWP-ICE) over the tropical west Pacific and the Cloud and Land Surface Interaction Campaign (CLASIC) over Oklahoma. During the project, sensitivity tests with the model showed that in continental clouds, extra liquid aerosols (soluble aerosol material) from pollution inhibited warm rain processes for precipitation production. This promoted homogeneous freezing of cloud droplets and aerosols. Mass and number concentrations of cloud-ice particles were boosted. The mean sizes of cloud-ice particles were reduced by the pollution. Hence, the lifetime of glaciated clouds, especially ice-only clouds, was augmented due to inhibition of sedimentation and ice-ice aggregation. Latent heat released from extra homogeneous freezing invigorated convective updrafts, and raised their maximum cloud-tops, when aerosol pollution was included. In the particular cases simulated in the project, the aerosol indirect effect of glaciated clouds was twice than of (warm) water clouds. This was because glaciated clouds are higher in the troposphere than water clouds and have the first interaction with incoming solar radiation. Ice-only clouds caused solar cooling by becoming more extensive as a result of aerosol pollution. This 'lifetime indirect effect' of ice-only clouds was due to higher numbers of homogeneously nucleated ice crystals causing a reduction in their mean size, slowing the ice-crystal process of snow production and slowing sedimentation. In addition to the known indirect effects (glaciation, riming and thermodynamic), new indirect effects were discovered and quantified due to responses of sedimentation, aggregation and coalescence in glaciated clouds to changing aerosol conditions. In summary, the change in horizontal extent of the glaciated clouds ('lifetime indirect effects'), especially of ice-only clouds, was seen to be of higher importance in regulating aerosol indirect effects than changes in cloud properties ('cloud albedo indirect effects').

Phillips, Vaughan T. J.

2013-10-18T23:59:59.000Z

450

Cicada: Predictive Guarantees for Cloud Network Bandwidth  

E-Print Network [OSTI]

In cloud-computing systems, network-bandwidth guarantees have been shown to improve predictability of application performance and cost. Most previous work on cloud-bandwidth guarantees has assumed that cloud tenants know ...

LaCurts, Katrina

2014-03-24T23:59:59.000Z

451

DIRSIG Cloud Modeling Capabilities; A Parametric Study  

E-Print Network [OSTI]

1 DIRSIG Cloud Modeling Capabilities; A Parametric Study Kristen Powers powers:................................................................................................................... 13 Calculation of Sensor Reaching Radiance Truth Values for Cloudless & Stratus Cloud Scenes and Atmospheric Database Creation for Stratus Cloud Scene & Calculation of Associated Sensor Reaching Radiance

Salvaggio, Carl

452

Magellan: experiences from a Science Cloud  

E-Print Network [OSTI]

2010. From Clusters To Clouds: xCAT 2 Is Out Of The Bag.Cost of Doing Science on the Cloud: The Montage Example. Incost of doing science on the cloud: the montage example. In

Ramakrishnan, Lavanya

2013-01-01T23:59:59.000Z

453

Electron-Cloud Build-Up: Summary  

E-Print Network [OSTI]

Properties In?uencing Electron Cloud Phenomena, Appl. Surf.Dissipation of the Electron Cloud, Proc. PAC03 (Portland,is no signi?cant electron-cloud under nominal operating

Furman, M.A.

2007-01-01T23:59:59.000Z

454

COLLABORATIVE RESEARCH: Study of Aerosol Sources and Processing at the GVAX Pantnagar Supersite  

SciTech Connect (OSTI)

This project funded the participation of scientists from seven research groups, running more than thirty instruments, in the Winter Intensive Operating Period (January-February 2012) of the Clean Air for London (ClearfLo) campaign at a rural site in Detling, UK, 45 km southeast of central London. The primary science questions for the ClearfLo Winter IOP were, 1) what is the urban increment of particulate matter (PM) and other pollutants in the greater London area, and, 2) what is the contribution of solid fuel use for home heating to wintertime PM? An additional motivation for the Detling measurements was the question of whether coatings on black carbon particles enhance absorption. The following four key accomplishments have been identified so far: 1) Chemical, physical and optical characterization of PM from local and regional sources (Figures 2, 4, 5 and 6). 2) Measurement of urban increment in particulate matter and gases in London (Figure 3). 3) Measurement of optical properties and chemical composition of coatings on black carbon containing particles indicates absorption enhancement. 4) First deployment of chemical ionization instrument (MOVI-CI-TOFMS) to measure both particle-phase and gas-phase organic acids. (See final report from Joel Thornton, University of Washington, for details.) Analysis of the large dataset acquired in Detling is ongoing and will yield further key accomplishments. These measurements of urban and rural aerosol properties will contribute to improved modeling of regional aerosol emissions, and of atmospheric aging and removal. The measurement of absorption enhancement by coatings on black carbon will contribute to improved modeling of the direct radiative properties of PM.

Worsnop, Douglas R. [Principal Investigator

2014-07-28T23:59:59.000Z

455

PNNL: Research Aircraft Facility (RAF) - FCSD  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Research Aircraft Facility (RAF) Research Aircraft Facility (RAF) It is in the mixed layer and free troposphere that most chemical reactions, gas-to-particle transformations, cloud processes, and transport of materials occur. The Pacific Northwest National Laboratory operates the U.S. Department of Energy (DOE) Research Aircraft Facility (RAF) performing airborne research in these areas to serve atmospheric scientists at DOE and other federal, state, and industrial entities. The RAF is dedicated to fulfilling important DOE and national goals in understanding atmospheric processes as they relate to the DOE's environmental missions and the global environment. Central to this facility are the PNNL Grumman Gulfstream 159 (G-1) aircraft, its flight crew, science and engineering technical staff,

456

Building a Parallel Cloud Storage System using OpenStacks Swift Object Store and Transformative Parallel I/O  

SciTech Connect (OSTI)

Our project consists of bleeding-edge research into replacing the traditional storage archives with a parallel, cloud-based storage solution. It used OpenStack's Swift Object Store cloud software. It's Benchmarked Swift for write speed and scalability. Our project is unique because Swift is typically used for reads and we are mostly concerned with write speeds. Cloud Storage is a viable archive solution because: (1) Container management for larger parallel archives might ease the migration workload; (2) Many tools that are written for cloud storage could be utilized for local archive; and (3) Current large cloud storage practices in industry could be utilized to manage a scalable archive solution.

Burns, Andrew J. [Los Alamos National Laboratory; Lora, Kaleb D. [Los Alamos National Laboratory; Martinez, Esteban [Los Alamos National Laboratory; Shorter, Martel L. [Los Alamos National Laboratory

2012-07-30T23:59:59.000Z

457

Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering  

Science Journals Connector (OSTI)

Clouds are rapidly joining high-performance computing (HPC) systems clusters and grids as viable platforms for scientific exploration and discovery. As a result understanding application formulations and usage modes that are meaningful in such a hybrid infrastructure and how application workflows can effectively utilize it is critical. Here three hybrid HPC/grid and cloud cyber infrastructure usage modes are explored: HPC in the Cloud HPC plus Cloud and HPC as a Service presenting illustrative scenarios in each case and outlining benefits limitations and research challenges.

Manish Parashar; Moustafa AbdelBaky; Ivan Rodero; Aditya Devarakonda

2013-01-01T23:59:59.000Z

458

A TRUSTED STORAGE SYSTEM FOR THE CLOUD.  

E-Print Network [OSTI]

??Data stored in third party storage systems like the cloud might not be secure since confidentiality and integrity of data are not guaranteed. Though cloud (more)

Karumanchi, Sushama

2010-01-01T23:59:59.000Z

459

PHASE II CALDERON PROCESS TO PRODUCE DIRECT REDUCED IRON RESEARCH AND DEVELOPMENT PROJECT  

SciTech Connect (OSTI)

The commercialization path of the Calderon technology for making a feedstock for steelmaking with assistance from DOE initially focused on making coke and work was done which proved that the Calderon technology is capable of making good coke for hard driving blast furnaces. U.S. Steel which participated in such demonstration felt that the Calderon technology would be more meaningful in lowering the costs of making steel by adapting it to the making of iron--thus obviating the need for coke. U.S. Steel and Calderon teamed up to jointly work together to demonstrate that the Calderon technology will produce in a closed system iron units from iron concentrate (ore) and coal competitively by eliminating pelletizing, sintering, coking and blast furnace operation. If such process steps could be eliminated, a huge reduction in polluting emissions and greenhouse gases (including CO{sub 2}) relating to steelmaking would ensue. Such reduction will restructure the steel industry away from the very energy-intensive steelmaking steps currently practiced and drastically reduce costs of making steel. The development of a technology to lower U.S. steelmaking costs and become globally competitive is a priority of major importance. Therefore, the development work which Calderon is conducting presently under this Agreement with the U.S. Department of Energy becomes more crucial than ever. During the 3rd quarter of 2005 which the present report covers, virtually all the effort to advance the Calderon technology to make iron units was concentrated towards forming a team with a steelmaker who needs both iron units in the form of hot metal and a substitute for natural gas (SNG), both being major contributors to higher costs in steelmaking. Calderon felt that a very good candidate would be Steel Dynamics (SDI) by virtue that it operates a rotary hearth facility in Butler, Indiana that uses large amounts of natural gas to reduce briquettes made from ore and coal that they subsequently melt in a submerged arc furnace that is a large consumer of electric power. This facility is operated as a division of SDI under the name of Iron Dynamics (IDI). It is no secret that IDI has had and still has a great number of operational problems, including high cost for natural gas.

Albert Calderon

2005-10-14T23:59:59.000Z

460

Infrared Cloud Imager Deployment at the North Slope of Alaska During Early 2002  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Infrared Cloud Imager Deployment Infrared Cloud Imager Deployment at the North Slope of Alaska During Early 2002 J. A. Shaw and B. Thurairajah Department of Electrical and Computer Engineering Montana State University Bozeman, Montana E. Edqvist National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado K. Mizutani Communications Research Laboratory Koganei, Tokyo, Japan Introduction Starting in February 2002, we deployed a new cloud-radiation sensor called the infrared cloud imager (ICI) at the North Slope of Alaska (NSA) site near Barrow, Alaska (71.32 N, 156.62 W). ICI records radiometrically calibrated images of the thermal infrared sky radiance in the 8µm to 14 µm wavelength band, from which spatial cloud statistics and spatially resolved cloud radiance can be determined.

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to obtain the most current and comprehensive results.


461

Effective Radius of Cloud Droplets by Ground-Based Remote Sensing: Relationships to Aerosol?  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Effective Radius of Cloud Droplets by Ground-Based Effective Radius of Cloud Droplets by Ground-Based Remote Sensing: Relationships to Aerosol? B.-G. Kim, S. E. Schwartz, and M. A. Miller Environmental Sciences Department Brookhaven National Laboratory Upton, New York Q.-L. Min Atmospheric Science Research Center State University of New York Albany, New York Introduction Aerosol Indirect Effect Increases in anthropogenic sources of cloud condensation nuclei can increase cloud albedo by increasing the concentration and reducing the size of cloud droplets, usually referred to as the indirect effect of aerosol on climate (Twomey 1977). However, the magnitudes of the various kinds of indirect forcing are particularly uncertain, because they involve subtle changes in cloud radiative properties and lifetimes

462

Fraunhofer ISST CLOUD COMPUTING APPLICATIONS  

E-Print Network [OSTI]

#12;© Fraunhofer ISST Fraunhofer Innovation Cluster »Cloud Computing for Logistics« Budget 3 * 3 Mio© Fraunhofer ISST CLOUD COMPUTING APPLICATIONS FOR LOGISTICS Jakob Rehof Professor, Chair of Software Engineering, Technical University of Dortmund Director, Fraunhofer-ISST Dortmund and Berlin First

Rajamani, Sriram K.

463

Building a scalable global data processing pipeline for large astronomical photometric datasets  

E-Print Network [OSTI]

Astronomical photometry is the science of measuring the flux of a celestial object. Since its introduction, the CCD has been the principle method of measuring flux to calculate the apparent magnitude of an object. Each CCD image taken must go through a process of cleaning and calibration prior to its use. As the number of research telescopes increases the overall computing resources required for image processing also increases. Existing processing techniques are primarily sequential in nature, requiring increasingly powerful servers, faster disks and faster networks to process data. Existing High Performance Computing solutions involving high capacity data centres are complex in design and expensive to maintain, while providing resources primarily to high profile science projects. This research describes three distributed pipeline architectures, a virtualised cloud based IRAF, the Astronomical Compute Node (ACN), a private cloud based pipeline, and NIMBUS, a globally distributed system. The ACN pipeline proce...

Doyle, Paul

2015-01-01T23:59:59.000Z

464

An enigmatic HI cloud  

E-Print Network [OSTI]

The discovery of an HI cloud with peculiar properties at equatorial coordinates (J2000) ra=07h49m, dec=04d30m is presented. The HI object was detected at 21cm using the 300-m NAIC Arecibo telescope. Subsequent follow-up high-resolution observations with the NRAO Very Large Array (VLA) telescope at L-Band revealed more details about its morphology. The most intriguing aspect of the object is the clear velocity gradient of 1 km/s, which is present in the data, an indication of either rotation or expansion. The gas appears to be cold, and its morphology is somewhat elliptical with clumpy substructure. Assuming disk rotation, the dynamical mass could be determined as a function of distance.Depending on the exact nature of the velocity gradient in the HI cloud, we can reach some preliminary conclusions about the nature of the object. Expansion would imply association with a circumstellar envelope of an evolved AGB star, while in the case of rotation, a comparison between the visible and the dynamical mass can lead...

Dedes, L; Kalberla, P W M

2008-01-01T23:59:59.000Z

465

An enigmatic HI cloud  

E-Print Network [OSTI]

The discovery of an HI cloud with peculiar properties at equatorial coordinates (J2000) ra=07h49m, dec=04d30m is presented. The HI object was detected at 21cm using the 300-m NAIC Arecibo telescope. Subsequent follow-up high-resolution observations with the NRAO Very Large Array (VLA) telescope at L-Band revealed more details about its morphology. The most intriguing aspect of the object is the clear velocity gradient of 1 km/s, which is present in the data, an indication of either rotation or expansion. The gas appears to be cold, and its morphology is somewhat elliptical with clumpy substructure. Assuming disk rotation, the dynamical mass could be determined as a function of distance.Depending on the exact nature of the velocity gradient in the HI cloud, we can reach some preliminary conclusions about the nature of the object. Expansion would imply association with a circumstellar envelope of an evolved AGB star, while in the case of rotation, a comparison between the visible and the dynamical mass can lead to some preliminary conclusions. A common feature of those conclusions is the presence of a gravitational potential well, which is required to account for the rotation of the trapped HI gas. This potential well could be associated with a dark galaxy or some other exotic object.

L. Dedes; C. Dedes; P. W. M Kalberla

2008-10-21T23:59:59.000Z

466

ARM - Measurement - Cloud ice particle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ice particle ice particle ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud ice particle Particles made of ice found in clouds. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments MET : Surface Meteorological Instrumentation Field Campaign Instruments REPLICATOR : Balloon-borne Ice Crystal Replicator CPI : Cloud Particle Imager CVI-AIR : Counterflow Virtual Impactor LEARJET : Lear Jet PARTIMG : Particle imager UAV-PROTEUS-MICRO : Proteus Cloud Microphysics Instruments

467

TWP Island Cloud Trail Studies  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Pacific Island Cloud Trail Studies Pacific Island Cloud Trail Studies W. M. Porch Los Alamos National Laboratory Los Alamos, New Mexico S. Winiecki University of Chicago Chicago, Illinois Introduction Images and surface temperature measurements from the U.S. Department of Energy (DOE) Multi- spectral Thermal Imaging (MTI) satellite are combined with geostationary meteorological satellite (GMS) images during 2000 and 2001 to better understand cloud trail formation characteristics from the Atmospheric Radiation Measurement (ARM) Tropical Western Pacific (TWP) site. Figure 1 shows a comparison on two consecutive days in December 2000. The day for which a cloud trail developed was more moist and cooler at the altitude the cloud developed (about 600 m) and there was very little

468

ARM - Measurement - Cloud condensation nuclei  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

condensation nuclei condensation nuclei ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud condensation nuclei Small particles (typically 0.0002 mm, or 1/100 th the size of a cloud droplet) about which cloud droplets coalesce. Categories Aerosols, Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments AOS : Aerosol Observing System CCN : Cloud Condensation Nuclei Particle Counter Field Campaign Instruments AOS : Aerosol Observing System

469

ARM - Measurement - Cloud base height  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

base height base height ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud base height For a given cloud or cloud layer, the lowest level of the atmosphere where cloud properties are detectable. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments BLC : Belfort Laser Ceilometer MPL : Micropulse Lidar MWRP : Microwave Radiometer Profiler RL : Raman Lidar VCEIL : Vaisala Ceilometer External Instruments NOAASURF : NOAA Surface Meteorology Data, collected by NWS and NCDC

470

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Invisible Giants in the Sky Invisible Giants in the Sky Download a printable PDF Submitter: Ovink, J., Pacific Northwest National Laboratory Kassianov, E., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Kassianov E, M Pekour, and J Barnard. 2012. "Aerosols in central California: Unexpectedly large contribution of coarse mode to aerosol radiative forcing." Geophysical Research Letters, 39, L20806, doi:10.1029/2012GL053469. Photo courtesy of the U.S. National Park Service Daily averaged values of (a, b) the direct aerosol radiative forcing (DARF) and (c, d) aerosol radiative forcing efficiency at the top-of-atmosphere calculated for the "original" aerosol optical properties (blue) and