National Library of Energy BETA

Sample records for research cloud processes

  1. Enhancing Cloud Radiative Processes and Radiation Efficiency in the Advanced Research Weather Research and Forecasting (WRF) Model

    SciTech Connect (OSTI)

    Iacono, Michael J.

    2015-03-09

    The objective of this research has been to evaluate and implement enhancements to the computational performance of the RRTMG radiative transfer option in the Advanced Research version of the Weather Research and Forecasting (WRF) model. Efficiency is as essential as accuracy for effective numerical weather prediction, and radiative transfer is a relatively time-consuming component of dynamical models, taking up to 30-50 percent of the total model simulation time. To address this concern, this research has implemented and tested a version of RRTMG that utilizes graphics processing unit (GPU) technology (hereinafter RRTMGPU) to greatly improve its computational performance; thereby permitting either more frequent simulation of radiative effects or other model enhancements. During the early stages of this project the development of RRTMGPU was completed at AER under separate NASA funding to accelerate the code for use in the Goddard Space Flight Center (GSFC) Goddard Earth Observing System GEOS-5 global model. It should be noted that this final report describes results related to the funded portion of the originally proposed work concerning the acceleration of RRTMG with GPUs in WRF. As a k-distribution model, RRTMG is especially well suited to this modification due to its relatively large internal pseudo-spectral (g-point) dimension that, when combined with the horizontal grid vector in the dynamical model, can take great advantage of the GPU capability. Thorough testing under several model configurations has been performed to ensure that RRTMGPU improves WRF model run time while having no significant impact on calculated radiative fluxes and heating rates or on dynamical model fields relative to the RRTMG radiation. The RRTMGPU codes have been provided to NCAR for possible application to the next public release of the WRF forecast model.

  2. Researching Impact of Clouds on Solar Plants

    Office of Energy Efficiency and Renewable Energy (EERE)

    Sandia National Laboratories (SNL) researchers developed a new system to monitor how clouds affect large-scale solar photovoltaic (PV) power plants. By observing cloud shape, size and movement, the...

  3. Planning the next decade of coordinated research to better understand and simulate marine low clouds

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wood, Robert; Jensen, Michael P.; Wang, Jian; Bretherton, Christopher S.; Burrows, Susannah M.; Del Genio, Anthony D.; Fridlind, Ann M.; Ghan, Steven J.; Ghate, Virendra P.; Kollias, Pavlos; et al

    2016-06-09

    Seventeen experts from communities focused on improving understanding and 6 modeling of processes controlling marine low clouds met to discuss future research 7 directions.

  4. Argonne's Magellan Cloud Computing Research Project

    ScienceCinema (OSTI)

    Beckman, Pete

    2013-04-19

    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

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

    SciTech Connect (OSTI)

    Chiu, Jui-Yuan Christine

    2014-04-10

    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 ARM’s 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 ARM’s operational data processing.

  6. Improved Arctic Cloud and Aerosol Research and Model Parameterizations

    SciTech Connect (OSTI)

    Kenneth Sassen

    2007-03-01

    In this report are summarized our contributions to the Atmospheric Measurement (ARM) program supported by the Department of Energy. Our involvement commenced in 1990 during the planning stages of the design of the ARM Cloud and Radiation Testbed (CART) sites. We have worked continuously (up to 2006) on our ARM research objectives, building on our earlier findings to advance our knowledge in several areas. Below we summarize our research over this period, with an emphasis on the most recent work. We have participated in several aircraft-supported deployments at the SGP and NSA sites. In addition to deploying the Polarization Diversity Lidar (PDL) system (Sassen 1994; Noel and Sassen 2005) designed and constructed under ARM funding, we have operated other sophisticated instruments W-band polarimetric Doppler radar, and midinfrared radiometer for intercalibration and student training purposes. We have worked closely with University of North Dakota scientists, twice co-directing the Citation operations through ground-to-air communications, and serving as the CART ground-based mission coordinator with NASA aircraft during the 1996 SUCCESS/IOP campaign. We have also taken a leading role in initiating case study research involving a number of ARM coinvestigators. Analyses of several case studies from these IOPs have been reported in journal articles, as we show in Table 1. The PDL has also participated in other major field projects, including FIRE II and CRYSTAL-FACE. In general, the published results of our IOP research can be divided into two categories: comprehensive cloud case study analyses to shed light on fundamental cloud processes using the unique CART IOP measurement capabilities, and the analysis of in situ data for the testing of remote sensing cloud retrieval algorithms. One of the goals of the case study approach is to provide sufficiently detailed descriptions of cloud systems from the data-rich CART environment to make them suitable for application to

  7. DOE Research and Development Accomplishments Tag Cloud

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

    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

  8. Aqueous Processing of Atmospheric Organic Particles in Cloud Water Collected via Aircraft Sampling

    SciTech Connect (OSTI)

    Boone, Eric J.; Laskin, Alexander; Laskin, Julia; Wirth, Christopher; Shepson, Paul B.; Stirm, Brian H.; Pratt, Kerri A.

    2015-07-21

    Cloud water and below-cloud atmospheric particle samples were collected onboard a research aircraft during the Southern Oxidant and Aerosol Study (SOAS) over a forested region of Alabama in June 2013. The organic molecular composition of the samples was studied to gain insights into the aqueous-phase processing of organic compounds within cloud droplets. High resolution mass spectrometry with nanospray desorption electrospray ionization and direct infusion electrospray ionization were utilized to compare the organic composition of the particle and cloud water samples, respectively. Isoprene and monoterpene-derived organosulfates and oligomers were identified in both the particles and cloud water, showing the significant influence of biogenic volatile organic compound oxidation above the forested region. While the average O:C ratios of the organic compounds were similar between the atmospheric particle and cloud water samples, the chemical composition of these samples was quite different. Specifically, hydrolysis of organosulfates and formation of nitrogen-containing compounds were observed for the cloud water when compared to the atmospheric particle samples, demonstrating that cloud processing changes the composition of organic aerosol.

  9. Evaluation of Tropical Cirrus Cloud Properties and Dynamical Processes Derived from ECMWF Model Output and Ground Based Mea...

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

    Tropical Cirrus Cloud Properties and Dynamical Processes Derived from ECMWF Model Output and Ground-Based Measurements Over Nauru Island J. M. Comstock and J. H. Mather Pacific Northwest National Laboratory Richland, Washington C. Jakob Bureau of Meteorology Research Centre Melbourne, Australia Introduction Identifying the mechanisms responsible for the formation of cirrus clouds is important in understanding the role of cirrus in the tropical atmosphere. Thin cirrus clouds near the tropical

  10. 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)

    M Jensen; K Johnson; JH Mather

    2009-07-14

    Clouds represent a critical component of the Earth’s 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.

  11. Research Highlight

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

    Spiraling Through a Storm PI Contact: Giangrande, S., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: ...

  12. Research Highlight

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

    Improving Entrainment Rate Parameterization Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud ...

  13. Research Highlight

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

    Get Organized Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: Cloud Processes Working Group(s): Cloud...

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

    SciTech Connect (OSTI)

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

    2014-11-17

    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.

  15. COLLABORATIVE RESEARCH:USING ARM OBSERVATIONS & ADVANCED STATISTICAL TECHNIQUES TO EVALUATE CAM3 CLOUDS FOR DEVELOPMENT OF STOCHASTIC CLOUD-RADIATION

    SciTech Connect (OSTI)

    Somerville, Richard

    2013-08-22

    The long-range goal of several past and current projects in our DOE-supported research has been the development of new and improved parameterizations of cloud-radiation effects and related processes, using ARM data, and the implementation and testing of these parameterizations in global models. The main objective of the present project being reported on here has been to develop and apply advanced statistical techniques, including Bayesian posterior estimates, to diagnose and evaluate features of both observed and simulated clouds. The research carried out under this project has been novel in two important ways. The first is that it is a key step in the development of practical stochastic cloud-radiation parameterizations, a new category of parameterizations that offers great promise for overcoming many shortcomings of conventional schemes. The second is that this work has brought powerful new tools to bear on the problem, because it has been a collaboration between a meteorologist with long experience in ARM research (Somerville) and a mathematician who is an expert on a class of advanced statistical techniques that are well-suited for diagnosing model cloud simulations using ARM observations (Shen).

  16. Cloud-Based Air Traffic Management Announcement | GE Global Research

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

    Aeronautics and Space Administration (NASA) to help bring NextGen air traffic ... GE's program with NASA will identify opportunities within ATM that can benefit from cloud ...

  17. Automated detection of cloud and cloud-shadow in single-date Landsat imagery using neural networks and spatial post-processing

    SciTech Connect (OSTI)

    Hughes, Michael J. [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK); Hayes, Daniel J [ORNL] [ORNL

    2014-01-01

    Use of Landsat data to answer ecological questions is contingent on the effective removal of cloud and cloud shadow from satellite images. We develop a novel algorithm to identify and classify clouds and cloud shadow, \\textsc{sparcs}: Spacial Procedures for Automated Removal of Cloud and Shadow. The method uses neural networks to determine cloud, cloud-shadow, water, snow/ice, and clear-sky membership of each pixel in a Landsat scene, and then applies a set of procedures to enforce spatial rules. In a comparison to FMask, a high-quality cloud and cloud-shadow classification algorithm currently available, \\textsc{sparcs} performs favorably, with similar omission errors for clouds (0.8% and 0.9%, respectively), substantially lower omission error for cloud-shadow (8.3% and 1.1%), and fewer errors of commission (7.8% and 5.0%). Additionally, textsc{sparcs} provides a measure of uncertainty in its classification that can be exploited by other processes that use the cloud and cloud-shadow detection. To illustrate this, we present an application that constructs obstruction-free composites of images acquired on different dates in support of algorithms detecting vegetation change.

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

    SciTech Connect (OSTI)

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

    2014-03-01

    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 HS-RHI 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.

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

    SciTech Connect (OSTI)

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

    2014-03-01

    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.

  20. Comparison of Cirrus Cloud Radiative Properties and Dynamical Processes at Two Atmospheric Radiation Measurement (ARM) Si...

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

    Cirrus Cloud Radiative Properties and Dynamical Processes at Two Atmospheric Radiation Measurement Sites in the Tropical Western Pacific J. M. Comstock, J. H. Mather, and T. P. Ackerman Pacific Northwest National Laboratory Richland, Washington Introduction Upper tropospheric humidity plays an important role in the formation and maintenance of tropical cirrus clouds. Deep convection is crucial for the transport of water vapor from the boundary layer to the upper troposphere and is

  1. Research Highlight

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

    Ice Concentration Retrieval in Stratiform Mixed-Phase Clouds Using Cloud Radar Measurements Download a printable PDF Submitter: Zhang, D., University of Wyoming Wang, Z., University of Wyoming Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Zhang D, Z Wang, A Heymsfield, J Fan, and T Luo. 2014. "Ice concentration retrieval in stratiform mixed-phase clouds using cloud radar reflectivity measurements and 1-D ice-growth model simulations." Journal

  2. Research Highlight

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

    First Observations of Tracking Clouds Using Scanning ARM Cloud Radars Download a printable PDF Submitter: Borque, P., McGill University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Borque P, P Kollias, and S Giangrande. 2014. "First observations of tracking clouds using scanning ARM cloud radars." Journal of Applied Meteorology and Climatology, , . ONLINE. A 2.5-hour long observing sequence from 25 May 2011 of (a) the Total Sky Imager (TSI)

  3. CLOUDS, AEROSOLS, RADIATION AND THE AIR-SEA INTERFACE OF THE SOUTHERN OCEAN: ESTABLISHING DIRECTIONS FOR FUTURE RESEARCH

    SciTech Connect (OSTI)

    Wood, Robert; Bretherton, Chris; McFarquhar, Greg; Protat, Alain; Quinn, Patricia; Siems, Steven; Jakob, Christian; Alexander, Simon; Weller, Bob

    2014-09-29

    A workshop sponsored by the Department of Energy was convened at the University of Washington to discuss the state of knowledge of clouds, aerosols and air-sea interaction over the Southern Ocean and to identify strategies for reducing uncertainties in their representation in global and regional models. The Southern Ocean plays a critical role in the global climate system and is a unique pristine environment, yet other than from satellite, there have been sparse observations of clouds, aerosols, radiation and the air-sea interface in this region. Consequently, much is unknown about atmospheric and oceanographic processes and their linkage in this region. Approximately 60 scientists, including graduate students, postdoctoral fellows and senior researchers working in atmospheric and oceanic sciences at U.S. and foreign universities and government laboratories, attended the Southern Ocean Workshop. It began with a day of scientific talks, partly in plenary and partly in two parallel sessions, discussing the current state of the science for clouds, aerosols and air-sea interaction in the Southern Ocean. After the talks, attendees broke into two working groups; one focused on clouds and meteorology, and one focused on aerosols and their interactions with clouds. This was followed by more plenary discussion to synthesize the two working group discussions and to consider possible plans for organized activities to study clouds, aerosols and the air-sea interface in the Southern Ocean. The agenda and talk slides, including short summaries of the highlights of the parallel session talks developed by the session chars, are available at http://www.atmos.washington.edu/socrates/presentations/SouthernOceanPresentations/.

  4. Clearing up concerns about cloud computing and genomics research...

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

    wanting on-demand access to increased capacity and capabilities, without having to invest in costly new hardware, storage, or other infrastructure. Genomics researchers, who...

  5. Research Highlight

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

    Download a printable PDF Submitter: Albrecht, B. A., University of Miami Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Albrecht B, M Fang, ...

  6. Automated catalyst processing for cloud electrode fabrication for fuel cells

    DOE Patents [OSTI]

    Goller, Glen J.; Breault, Richard D.

    1980-01-01

    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.

  7. Precipitating clouds

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

    A suggestion for a new focus on cloud microphysical process study in the ARM program 1. Retrieving precipitating mixed- phase cloud properties Zhien Wang University of Wyoming zwang@uwyo.edu Retrieving Precipitating Mixed-phase Cloud Properties Global distribution of supercooled water topped stratiform clouds (top > 1 km and length> 14km) Most of them are mixed-phase with precipitation or virga An multiple sensor based approach to provide water phase as well as ice phase properties

  8. Research Highlight

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

    Diurnal Cycle of Monsoon Clouds, Precipitation, and Surface Radiation Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES May, P. T., Bureau of Meteorology Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: May PT, CN Long, and A Protat. 2012. "The diurnal cycle of the boundary layer, convection, clouds, and surface radiation in a coastal monsoon environment (Darwin

  9. 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 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),

  10. Research Highlight

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

    Developing and Evaluating Ice Cloud Parameterizations by Combining Radar and in Situ Observations Download a printable PDF Submitter: Maahn, M., University of Colorado Loehnert, U., University of Cologne Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Maahn M, U Löhnert, P Kollias, RC Jackson, and GM McFarquhar. 2015. "Developing and Evaluating Ice Cloud Parameterizations for Forward Modeling of Radar Moments

  11. Research Highlight

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

    ARM Azores Observations Help Identify Deficiencies in Climate Model Simulations of Low Clouds PI Contact: Zheng, X., Lawrence Livermore National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Zheng X, SA Klein, H Ma, P Bogenschutz, A Gettelman, and VE Larson. 2016. "Assessment of Marine Boundary Layer Cloud Simulations in the CAM with CLUBB and Updated Microphysics Scheme Based on ARM Observations

  12. (Rain)cloud computing: Researchers work to improve how we predict climate

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

    change | Argonne National Laboratory (Rain)cloud computing: Researchers work to improve how we predict climate change By Louise Lerner * March 3, 2016 Tweet EmailPrint Rao Kotamarthi and Jiali Wang spend their days looking at a future Earth. At the U.S. Department of Energy's (DOE's) Argonne National Laboratory, the two scientists work on simulations and techniques to project what the climate will look like 100 years from now. Last year, they completed the highest resolution climate forecast

  13. A new WRF-Chem treatment for studying regional-scale impacts of cloud processes on aerosol and trace gases in parameterized cumuli

    SciTech Connect (OSTI)

    Berg, L. K.; Shrivastava, M.; Easter, R. C.; Fast, J. D.; Chapman, E. G.; Liu, Y.; Ferrare, R. A.

    2015-02-24

    A new treatment of cloud effects on aerosol and trace gases within parameterized shallow and deep convection, and aerosol effects on cloud droplet number, has been implemented in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) version 3.2.1 that can be used to better understand the aerosol life cycle over regional to synoptic scales. The modifications to the model include treatment of the cloud droplet number mixing ratio; key cloud microphysical and macrophysical parameters (including the updraft fractional area, updraft and downdraft mass fluxes, and entrainment) averaged over the population of shallow clouds, or a single deep convective cloud; and vertical transport, activation/resuspension, aqueous chemistry, and wet removal of aerosol and trace gases in warm clouds. These changes have been implemented in both the WRF-Chem chemistry packages as well as the Kain–Fritsch (KF) cumulus parameterization that has been modified to better represent shallow convective clouds. Testing of the modified WRF-Chem has been completed using observations from the Cumulus Humilis Aerosol Processing Study (CHAPS). The simulation results are used to investigate the impact of cloud–aerosol interactions on regional-scale transport of black carbon (BC), organic aerosol (OA), and sulfate aerosol. Based on the simulations presented here, changes in the column-integrated BC can be as large as –50% when cloud–aerosol interactions are considered (due largely to wet removal), or as large as +40% for sulfate under non-precipitating conditions due to sulfate production in the parameterized clouds. The modifications to WRF-Chem are found to account for changes in the cloud droplet number concentration (CDNC) and changes in the chemical composition of cloud droplet residuals in a way that is consistent with observations collected during CHAPS. Efforts are currently underway to port the changes described here to the latest version of WRF-Chem, and it is

  14. A new WRF-Chem treatment for studying regional-scale impacts of cloud processes on aerosol and trace gases in parameterized cumuli

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Berg, L. K.; Shrivastava, M.; Easter, R. C.; Fast, J. D.; Chapman, E. G.; Liu, Y.; Ferrare, R. A.

    2015-02-24

    A new treatment of cloud effects on aerosol and trace gases within parameterized shallow and deep convection, and aerosol effects on cloud droplet number, has been implemented in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) version 3.2.1 that can be used to better understand the aerosol life cycle over regional to synoptic scales. The modifications to the model include treatment of the cloud droplet number mixing ratio; key cloud microphysical and macrophysical parameters (including the updraft fractional area, updraft and downdraft mass fluxes, and entrainment) averaged over the population of shallow clouds, or a single deep convectivemore » cloud; and vertical transport, activation/resuspension, aqueous chemistry, and wet removal of aerosol and trace gases in warm clouds. These changes have been implemented in both the WRF-Chem chemistry packages as well as the Kain–Fritsch (KF) cumulus parameterization that has been modified to better represent shallow convective clouds. Testing of the modified WRF-Chem has been completed using observations from the Cumulus Humilis Aerosol Processing Study (CHAPS). The simulation results are used to investigate the impact of cloud–aerosol interactions on regional-scale transport of black carbon (BC), organic aerosol (OA), and sulfate aerosol. Based on the simulations presented here, changes in the column-integrated BC can be as large as –50% when cloud–aerosol interactions are considered (due largely to wet removal), or as large as +40% for sulfate under non-precipitating conditions due to sulfate production in the parameterized clouds. The modifications to WRF-Chem are found to account for changes in the cloud droplet number concentration (CDNC) and changes in the chemical composition of cloud droplet residuals in a way that is consistent with observations collected during CHAPS. Efforts are currently underway to port the changes described here to the latest version of WRF-Chem, and it

  15. ARM - Research Highlights: Notable Findings

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

    HighlightsNotable Research Findings 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 Office of Science Abstracts Database Research Highlights Summaries Notable Research Findings for the Past Five Years Aerosols Cloud Parameterization and Modeling (Currently Cloud Modeling) Cloud Properties Instantaneous Radiative Flux (Currently Radiative Processes)

  16. Research Highlight

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

    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,

  17. Research Highlight

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

    Nailing Down Ice in a Cloud Model Download a printable PDF Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Comstock JM, A Protat, SA McFarlane, J Delanoë, and M Deng. 2013. "Assessment of uncertainty in cloud radiative effects and heating rates through retrieval algorithm differences: Analysis using 3 Years of ARM data at Darwin, Australia." Journal of Geophysical Research -

  18. Research Highlight

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

    Roles of Wind Shear at Different Vertical Levels in Cloud System Organization and Properties Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Chen Q, J Fan, S Hagos, W Gustafson, and L Berg. 2015. "Roles of wind shear at different vertical levels, Part I: Cloud system organization and properties." Journal of Geophysical Research -

  19. Research Highlight

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

    Dependence of Entrainment in Shallow Cumulus Convection on Vertical Velocity and Distance to Cloud Edge PI Contact: Kuang, Z., Harvard University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Tian Y and Z Kuang. 2016. "Dependence of entrainment in shallow cumulus convection on vertical velocity and distance to cloud edge." Geophysical Research Letters, , doi:10.1002/2016GL069005. ONLINE. Percentage change in (a) vertical velocity, (b) distance

  20. Research Highlight

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

    Understanding Changes in Cloud Phase Partitioning in Mixed-phase Clouds: an Arctic Case Study PI Contact: Kalesse, H., Leibniz Institute for Tropospheric Research Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kalesse H, G DeBoer, A Solomon, M Oue, M Ahlgrimm, D Zhang, M Shupe, E Luke, and A Protat. 2016. "Understanding rapid changes in phase partitioning between cloud liquid and ice in stratiform mixed-phase clouds: An Arctic Case Study."

  1. Research Highlight

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

    Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Paine SN, DD Turner, ...

  2. Research Highlight

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

    Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties, Radiative Processes...

  3. Research Highlight

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

    Fall Speeds of Cirrus Crystals Faster Than Expected PI Contact: Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: Cloud Processes Working Group(s): ...

  4. Research Highlight

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

    a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions...

  5. Research Highlight

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

    Burning on the Prairies Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation...

  6. Research Highlight

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

    Exploring Parameterization for Turbulent Entrainment-Mixing Processes in Clouds Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Lu, C., Nanjing University of Information Science and Technology 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

  7. NREL: Photovoltaics Research - Process Development and Integration...

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

    Process Development and Integration Laboratory Photovoltaics Research Overhead photo a male standing next to a large circular piece of equipment. Work with Us Are you interested in...

  8. 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 Arizona Area of Research: Cloud Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Dong X, B Xi, A Kennedy, P Minnis, and R Wood. 2014. "A 19-month record of marine aerosol-cloud-radiation properties derived from DOE ARM AMF deployment at the Azores: Part I: Cloud fraction and single-layered MBL cloud properties." Journal of Climate, 27(10),

  9. 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 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

  10. 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 UK Met Office Submitter: Morcrette, C. J., Met Office 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.

  11. 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? 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

  12. Research Highlight

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

    Validation of Climate Model Ice Cloud Properties Download a printable PDF Submitter: Eidhammer, T., NCAR Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Eidhammer T, H Morrison, A Bansemer, A Gettelman, and AJ Heymsfield. 2014. "Comparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in situ observations." Atmospheric Chemistry and Physics, 14(18), doi:10.5194/acp-14-10103-2014. Mass weighted terminal fall

  13. Research Highlight

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

    Intersecting Cold Pools: Convective Cloud Organization by Cold Pools over Tropical Ocean 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, S Hagos, AK Rowe, CD Burleyson, MN Martini, and SP de Szoeke. 2015. "Mechanisms of convective cloud organization by cold pools over tropical warm ocean during the AMIE/DYNAMO field campaign." Journal of Advances in

  14. Research Highlight

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

    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

  15. Science on the Hill: Methane cloud hunting

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

    Methane cloud hunting Science on the Hill: Methane cloud hunting Los Alamos researchers go ... Science on the Hill: Methane cloud hunting When our team from Los Alamos National ...

  16. Research Highlight

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

    The Complexity of Arctic Clouds Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, G de Boer, G Feingold, J Harrington, M Shupe, and K Sulia. 2011. "Resilience of persistent Arctic mixed-phase clouds." Nature Geoscience, 5, doi:10.1038/ngeo1332. Arctic climate feedbacks: The processes that allow mixed-phased clouds to persist in the Arctic are surprisingly complex and

  17. Research Highlight

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

    Twenty Years Serving Climate Science Download a printable PDF Submitter: Mather, J. H., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mather JH and JW Voyles. 2013. "The ARM Climate Research Facility: a review of structure and capabilities." Bulletin of the American Meteorological Society, 94(3), doi:10.1175/BAMS-D-11-00218.1. A scanning ARM

  18. Research Highlight

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

    Pollution Changes Clouds' Ice Crystal Genesis Download a printable PDF Submitter: Kulkarni, G., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kulkarni GR, K Zhang, C Zhao, M Nandasiri, V Shutthanandan, X Liu, L Berg, and J Fast. 2015. "Ice formation on nitric acid-coated dust particles: Laboratory and modeling studies." Journal of Geophysical Research - Atmospheres, 120(15), doi:10.1002/2014JD022637.

  19. Research Highlight

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

    Unraveling the Complexity of Arctic Mixed-Phase Clouds Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, G de Boer, G Feingold, J Harrington, M Shupe, and K Sulia. 2011. "Resilience of persistent Arctic mixed-phase clouds." Nature Geoscience, 5, doi:10.1038/ngeo1332. A conceptual model that illustrates the primary processes and basic physical structure of persistent Arctic

  20. Research Highlight

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

    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

  1. Research Highlight

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

    Storm Clouds Take Rain on Rollercoaster Ride Download a printable PDF Submitter: Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wong M, M Ovchinnikov, and M Wang. 2015. "Evaluation of subgrid-scale hydrometeor transport schemes using a high-resolution cloud-resolving model." Journal of the Atmospheric Sciences, 72(9), doi:10.1175/JAS-D-15-0060.1. Strong updrafts within the cloud propel their

  2. The Midlatitude Continental Convective Clouds Experiment (MC3E) sounding network: operations, processing and analysis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jensen, M. P.; Toto, T.; Troyan, D.; Ciesielski, P. E.; Holdridge, D.; Kyrouac, J.; Schatz, J.

    2014-09-12

    The Midlatitude Continental Convective Clouds Experiment (MC3E) took place during the spring of 2011 centered in north-central Oklahoma, USA. The main goal of this field campaign was to capture the dynamical and microphysical characteristics of precipitating convective systems in the Central Plains. A major component of the campaign was a 6-site radiosonde array designed to capture the large-scale variability of the atmospheric state with the intent of deriving model forcing datasets. Over the course of the 46 day MC3E campaign, a total of 1362 radiosondes were launched from the enhanced sonde network. This manuscript describes the details of the instrumentationmore » used as part of the sounding array, the data processing activities including quality checks and humidity bias corrections and an analysis of the impacts of bias correction and algorithm assumptions on the determination of convective levels and indices. It is found that corrections for known radiosonde humidity biases and assumptions regarding the characteristics of the surface convective parcel result in significant differences in the derived values of convective levels and indices in many soundings.« less

  3. The Midlatitude Continental Convective Clouds Experiment (MC3E) sounding network: operations, processing and analysis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jensen, M. P.; Toto, T.; Troyan, D.; Ciesielski, P. E.; Holdridge, D.; Kyrouac, J.; Schatz, J.; Zhang, Y.; Xie, S.

    2015-01-27

    The Midlatitude Continental Convective Clouds Experiment (MC3E) took place during the spring of 2011 centered in north-central Oklahoma, USA. The main goal of this field campaign was to capture the dynamical and microphysical characteristics of precipitating convective systems in the US Central Plains. A major component of the campaign was a six-site radiosonde array designed to capture the large-scale variability of the atmospheric state with the intent of deriving model forcing data sets. Over the course of the 46-day MC3E campaign, a total of 1362 radiosondes were launched from the enhanced sonde network. This manuscript provides details on the instrumentationmore » used as part of the sounding array, the data processing activities including quality checks and humidity bias corrections and an analysis of the impacts of bias correction and algorithm assumptions on the determination of convective levels and indices. It is found that corrections for known radiosonde humidity biases and assumptions regarding the characteristics of the surface convective parcel result in significant differences in the derived values of convective levels and indices in many soundings. In addition, the impact of including the humidity corrections and quality controls on the thermodynamic profiles that are used in the derivation of a large-scale model forcing data set are investigated. The results show a significant impact on the derived large-scale vertical velocity field illustrating the importance of addressing these humidity biases.« less

  4. GE Global Research Sourcing External Document & Process Repository...

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

    GE Global Research Sourcing External Document & Process Repository Home > GE Global Research Sourcing External Document & Process Repository Supplier Integrity Guide Purchase Order...

  5. 2010 Membranes: Materials & Processes Gordon Research Conference

    SciTech Connect (OSTI)

    Jerry Lin

    2010-07-30

    The GRC series on Membranes: Materials and Processes have gained significant international recognition, attracting leading experts on membranes and other related areas from around the world. It is now known for being an interdisciplinary and synergistic meeting. The next summer's edition will keep with the past tradition and include new, exciting aspects of material science, chemistry, chemical engineering, computer simulation with participants from academia, industry and national laboratories. This edition will focus on cutting edge topics of membranes for addressing several grand challenges facing our society, in particular, energy, water, health and more generally sustainability. During the technical program, we want to discuss new membrane structure and characterization techniques, the role of advanced membranes and membrane-based processes in sustainability/environment (including carbon dioxide capture), membranes in water processes, and membranes for biological and life support applications. As usual, the informal nature of the meeting, excellent quality of the oral presentations and posters, and ample opportunity to meet many outstanding colleagues make this an excellent conference for established scientists as well as for students. A Gordon Research Seminar (GRS) on the weekend prior to the GRC meeting will provide young researchers an opportunity to present their work and network with outstanding experts. It will also be a right warm-up for the conference participants to join and enjoy the main conference.

  6. Cloud Based Applications and Platforms (Presentation)

    SciTech Connect (OSTI)

    Brodt-Giles, D.

    2014-05-15

    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.

  7. ARM - Measurement - Cloud extinction

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

    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 andor ...

  8. Statistical characteristics of cloud variability. Part 2: Implication for parameterizations of microphysical and radiative transfer processes in climate models

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Huang, Dong; Liu, Yangang

    2014-09-27

    The effects of subgrid cloud variability on grid-average microphysical rates and radiative fluxes are examined by use of long-term retrieval products at the Tropical West Pacific, Southern Great Plains, and North Slope of Alaska sites of the Department of Energy's Atmospheric Radiation Measurement program. Four commonly used distribution functions, the truncated Gaussian, Gamma, lognormal, and Weibull distributions, are constrained to have the same mean and standard deviation as observed cloud liquid water content. The probability density functions are then used to upscale relevant physical processes to obtain grid-average process rates. It is found that the truncated Gaussian representation results inmoreup to 30% mean bias in autoconversion rate, whereas the mean bias for the lognormal representation is about 10%. The Gamma and Weibull distribution function performs the best for the grid-average autoconversion rate with the mean relative bias less than 5%. For radiative fluxes, the lognormal and truncated Gaussian representations perform better than the Gamma and Weibull representations. The results show that the optimal choice of subgrid cloud distribution function depends on the nonlinearity of the process of interest, and thus, there is no single distribution function that works best for all parameterizations. Examination of the scale (window size) dependence of the mean bias indicates that the bias in grid-average process rates monotonically increases with increasing window sizes, suggesting the increasing importance of subgrid variability with increasing grid sizes.less

  9. Statistical characteristics of cloud variability. Part 2: Implication for parameterizations of microphysical and radiative transfer processes in climate models

    SciTech Connect (OSTI)

    Huang, Dong; Liu, Yangang

    2014-09-27

    The effects of subgrid cloud variability on grid-average microphysical rates and radiative fluxes are examined by use of long-term retrieval products at the Tropical West Pacific, Southern Great Plains, and North Slope of Alaska sites of the Department of Energy's Atmospheric Radiation Measurement program. Four commonly used distribution functions, the truncated Gaussian, Gamma, lognormal, and Weibull distributions, are constrained to have the same mean and standard deviation as observed cloud liquid water content. The probability density functions are then used to upscale relevant physical processes to obtain grid-average process rates. It is found that the truncated Gaussian representation results in up to 30% mean bias in autoconversion rate, whereas the mean bias for the lognormal representation is about 10%. The Gamma and Weibull distribution function performs the best for the grid-average autoconversion rate with the mean relative bias less than 5%. For radiative fluxes, the lognormal and truncated Gaussian representations perform better than the Gamma and Weibull representations. The results show that the optimal choice of subgrid cloud distribution function depends on the nonlinearity of the process of interest, and thus, there is no single distribution function that works best for all parameterizations. Examination of the scale (window size) dependence of the mean bias indicates that the bias in grid-average process rates monotonically increases with increasing window sizes, suggesting the increasing importance of subgrid variability with increasing grid sizes.

  10. Research towards a systematic signature discovery process

    SciTech Connect (OSTI)

    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.

    2013-06-04

    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.

  11. Research Highlight

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

    Validation of CERES-MODIS Cloud Retrievals Using the Azores Data Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Xi B, P Minnis, and S Sun-Mack. 2014. "Comparison of marine boundary layer cloud properties from CERES-MODIS edition 4 and DOE ARM AMF measurements at the Azores." Journal of Geophysical Research - Atmospheres, 119, doi:10.1002/2014JD021813. Figure 1. The ARM radar-MWR

  12. Research Highlight

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

    DCS Ice Cloud Microphysical Properties Derived from Aircraft Data During MC3E Submitter: Dong, X., University of Arizona Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wang J, X Dong, and B Xi. 2015. "Investigation of ice cloud microphysical properties of DCSs using aircraft in situ measurements during MC3E over the ARM SGP site." Journal of Geophysical Research - Atmospheres, 120(8), 3533-3552. Figure 1. The observed PSDs at different aircraft

  13. Research Highlight

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

    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

  14. Research Highlight

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

    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

  15. Research Highlight

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

    Radiative-Dynamical Feedbacks in Thin Stratiform Clouds Download a printable PDF Submitter: Petters, J. L., Pennsylvania State University Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Petters JL, JY Harrington, and EE Clothiaux. 2012. "Radiative-dynamical feedbacks in low liquid water path stratiform clouds." Journal of the Atmospheric Sciences, 69(5), 10.1175/JAS-D-11-0169.1. Large-eddy simulation time series output

  16. Research Highlight

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

    What Controls the Vertical Extent of Continental Shallow Cumulus? Download a printable PDF Submitter: Zhang, Y., Lawrence Livermore National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Zhang Y and SA Klein. 2013. "Factors controlling the vertical extent of fair-weather shallow cumulus clouds over land: investigation of diurnal-cycle observations collected at the ARM Southern Great Plains site." Journal of the Atmospheric Sciences,

  17. Research Highlight

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

    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

  18. Research Highlight

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

    Arctic Winter Frost Flowers Have Negligible Influence on Cloud Longwave Warming Download a printable PDF Submitter: Xu, L., University of California, San Diego Russell, L. M., Scripps Institution of Oceanography Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Xu L, LM Russell, RC Somerville, and PK Quinn. 2013. "Frost flower aerosol effects on Arctic wintertime longwave cloud radiative forcing."

  19. Research Highlight

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

    The Emergence of Open Source Software for the Weather Radar Community Download a printable PDF Submitter: Collis, S. M., Argonne National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Heistermann M, S Collis, MJ Dixon, SE Giangrande, JJ Helmus, B Kelley, J Koistinen, DB Michelson, P Markus, T Pfaff, and DB Wolff. 2014. "The Emergence of Open Source Software for the Weather Radar Community."

  20. Research Highlight

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

    Precipitation Estimation from the ARM Distributed Radar Network Download a printable PDF Submitter: Giangrande, S., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Giangrande SE, S Collis, A Theisen, and A Tokay. 2014. "Precipitation Estimation from the ARM Distributed Radar Network During the MC3E Campaign." Journal of Applied Meteorology and Climatology, 53(9),

  1. Research Highlight

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

    The Anatomy and Physics of ZDR Columns Submitter: Kumjian, M., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Kumjian MR, AP Khain, N Benmoshe, E Ilotoviz, AV Ryzhkov, and VT Phillips. 2014. "The anatomy and physics of ZDR columns: Investigating a polarimetric radar signature with a spectral bin microphysical model." Journal of Applied Meteorology and Climatology, 53(7),

  2. Research Highlight

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

    A New Theory of Time-dependent Freezing and Its Application to Investigation of Formation of Hail Download a printable PDF Submitter: Khain, A., The Hebrew University of Jerusalem Phillips, V., University of Leeds Area of Research: Cloud Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Phillips VT, A Khain, N Benmoshe, E Ilotoviz, and A Ryzhkov. 2014. "Theory of time-dependent freezing. II: Scheme for freezing raindrops and simulations by a cloud model

  3. Research Highlight

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

    Hail Generation and Melting in Deep Convective Clouds from the Perspective of Dual-polarization Download a printable PDF Submitter: Ryzhkov, A., National Severe Storms Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Ryzhkov AV, MR Kumjian, SM Ganson, and AP Khain. 2014. "Polarimetric radar characteristics of melting hail. Part I: Theoretical simulations using spectral microphysical modeling." Journal of Applied Meteorology and

  4. Research Highlight

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

    Overly Intense Convective Updrafts Exposed as a Significant Contributor to Model Biases Submitter: Varble, A., University of Utah Zipser, E., University of Utah Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Varble A, EJ Zipser, AM Fridlind, P Zhu, AS Ackerman, J Chaboureau, S Collis, J Fan, A Hill, and B Shipway. 2014. "Evaluation of cloud-resolving and limited area model simulations using TWP-ICE observations. Part 1: Deep convective updraft

  5. Research Highlight

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

    Finding the Causes for Consistently Low Biased Stratiform Rainfall in Models Submitter: Varble, A., University of Utah Zipser, E., University of Utah Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Varble A, EJ Zipser, AM Fridlind, P Zhu, AS Ackerman, J Chaboureau, J Fan, A Hill, B Shipway, and C Williams. 2014. "Evaluation of cloud-resolving and limited area model simulations using TWP-ICE observations. 2. Precipitation microphysics." Journal of

  6. Research Highlight

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

    Modeling Precipitating Cumulus Congestus Observed by the ARM Radar Suite During the MC3E Field Campaign Download a printable PDF Submitter: Mechem, D. B., University of Kansas Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mechem DB, SE Giangrande, CS Wittman, P Borque, T Toto, and P Kollias. 2015. "Insights from modeling and observational evaluation of a precipitating continental cumulus event observed

  7. Research Highlight

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

    The Midlatitude Continental Convective Clouds Experiment (MC3E) PI Contact: Jensen, M., Brookhaven National Laboratory Giangrande, S., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Jensen MP, WA Petersen, A Bansemer, N Bharadwaj, LD Carey, DJ Cecil, SM Collis, AD Del Genio, B Dolan, J Gerlach, SE Giangrande, A Heymsfield, G Heymsfield, P Kollias, TJ Lang, SW Nesbitt, A Neumann, M Poellot, SA Rutledge, M Schwaller, A Tokay,

  8. Research Highlight

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

    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

  9. Using Radar, Lidar, and Radiometer measurements to Classify Cloud Type and Study Middle-Level Cloud Properties

    SciTech Connect (OSTI)

    Wang, Zhien

    2010-06-29

    The project is mainly focused on the characterization of cloud macrophysical and microphysical properties, especially for mixed-phased clouds and middle level ice clouds by combining radar, lidar, and radiometer measurements available from the ACRF sites. First, an advanced mixed-phase cloud retrieval algorithm will be developed to cover all mixed-phase clouds observed at the ACRF NSA site. The algorithm will be applied to the ACRF NSA observations to generate a long-term arctic mixed-phase cloud product for model validations and arctic mixed-phase cloud processes studies. To improve the representation of arctic mixed-phase clouds in GCMs, an advanced understanding of mixed-phase cloud processes is needed. By combining retrieved mixed-phase cloud microphysical properties with in situ data and large-scale meteorological data, the project aim to better understand the generations of ice crystals in supercooled water clouds, the maintenance mechanisms of the arctic mixed-phase clouds, and their connections with large-scale dynamics. The project will try to develop a new retrieval algorithm to study more complex mixed-phase clouds observed at the ACRF SGP site. Compared with optically thin ice clouds, optically thick middle level ice clouds are less studied because of limited available tools. The project will develop a new two wavelength radar technique for optically thick ice cloud study at SGP site by combining the MMCR with the W-band radar measurements. With this new algorithm, the SGP site will have a better capability to study all ice clouds. Another area of the proposal is to generate long-term cloud type classification product for the multiple ACRF sites. The cloud type classification product will not only facilitates the generation of the integrated cloud product by applying different retrieval algorithms to different types of clouds operationally, but will also support other research to better understand cloud properties and to validate model simulations. The

  10. NREL: Biomass Research - Projects in Biomass Process and Sustainabilit...

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

    Projects in Biomass Process and Sustainability Analyses Researchers at NREL use biomass process and sustainability analyses to understand the economic, technical, and global ...

  11. NREL: Biomass Research - Capabilities in Biomass Process and...

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

    Capabilities in Biomass Process and Sustainability Analyses A photo of a woman and four ... A team of NREL researchers uses biomass process and sustainability analyses to bridge the ...

  12. Responsible Science: Ensuring the Integrity of the Research Process

    SciTech Connect (OSTI)

    Arrison, Thomas Samuel

    2014-03-31

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

  13. Research Highlight

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

    Drizzle in the Making Download a printable PDF Submitter: Luke, E., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Luke EP and P Kollias. 2013. "Separating cloud and drizzle radar moments during precipitation onset using Doppler spectra." Journal of Atmospheric and Oceanic Technology, 30(8), http://dx.doi.org/10.1175/JTECH-D-11-00195.1. This image shows droplet motion measured by a cloud profiling radar, with the

  14. Research Highlight

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

    Mountain-Induced Dynamics Influence Cloud Phase Distribution and Precipitation Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Dorsi SW, MD Shupe, PG Persson, DE Kingsmill, and LM Avallone. 2015. "Phase-specific characteristics of wintertime clouds across a mid-latitude mountain range." Monthly Weather Review, 143(10), doi:10.1175/MWR-D-15-0135.1. Multi-flight composite

  15. Building America Research-to-Market Process

    Broader source: Energy.gov [DOE]

    The Building America Program conducts applied research, development, and deployment in residential buildings. Building America projects are led by U.S. Department of Energy (DOE) national...

  16. Simulations of Clouds and Sensitivity Study by Weather Research and Forecast Model for Atmospheric Radiation Measurement Case 4

    SciTech Connect (OSTI)

    Wu, J.; Zhang, M.

    2005-03-18

    One of the large errors in general circulation models (GCMs) cloud simulations is from the mid-latitude, synoptic-scale frontal cloud systems. Now, with the availability of the cloud observations from Atmospheric Radiation Measurement (ARM) 2000 cloud Intensive Operational Period (IOP) and other observational datasets, the community is able to document the model biases in comparison with the observations and make progress in development of better cloud schemes in models. Xie et al. (2004) documented the errors in midlatitude frontal cloud simulations for ARM Case 4 by single-column models (SCMs) and cloud resolving models (CRMs). According to them, the errors in the model simulated cloud field might be caused by following reasons: (1) lacking of sub-grid scale variability; (2) lacking of organized mesoscale cyclonic advection of hydrometeors behind a moving cyclone which may play important role to generate the clouds there. Mesoscale model, however, can be used to better under stand these controls on the subgrid variability of clouds. Few studies have focused on applying mesoscale models to the forecasting of cloud properties. Weaver et al. (2004) used a mesoscale model RAMS to study the frontal clouds for ARM Case 4 and documented the dynamical controls on the sub-GCM-grid-scale cloud variability.

  17. 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 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

  18. Research Highlight

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

    Aerosols Help Clouds Warm Up Arctic Submitter: Lubin, D., Scripps Institution of Oceanography 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

  19. “Using Statistical Comparisons between SPartICus Cirrus Microphysical Measurements, Detailed Cloud Models, and GCM Cloud Parameterizations to Understand Physical Processes Controlling Cirrus Properties and to Improve the Cloud Parameterizations”

    SciTech Connect (OSTI)

    Woods, Sarah

    2015-12-01

    The dual objectives of this project were improving our basic understanding of processes that control cirrus microphysical properties and improvement of the representation of these processes in the parameterizations. A major effort in the proposed research was to integrate, calibrate, and better understand the uncertainties in all of these measurements.

  20. Research Highlight

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

    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

  1. Cloud computing security.

    SciTech Connect (OSTI)

    Shin, Dongwan; Claycomb, William R.; Urias, Vincent E.

    2010-10-01

    Cloud computing is a paradigm rapidly being embraced by government and industry as a solution for cost-savings, scalability, and collaboration. While a multitude of applications and services are available commercially for cloud-based solutions, research in this area has yet to fully embrace the full spectrum of potential challenges facing cloud computing. This tutorial aims to provide researchers with a fundamental understanding of cloud computing, with the goals of identifying a broad range of potential research topics, and inspiring a new surge in research to address current issues. We will also discuss real implementations of research-oriented cloud computing systems for both academia and government, including configuration options, hardware issues, challenges, and solutions.

  2. Research Highlight

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

    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

  3. Research Highlight

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

    The Brass Ring of Climate Modeling Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Ghan SJ, SJ Smith, M Wang, K Zhang, K Pringle, K Carslaw, J Pierce, S Bauer, and P Adams. 2013. "A simple model of global aerosol indirect effects." Journal of Geophysical Research - Atmospheres, 118, 1-20. The simple model of aerosol effects on clouds

  4. Research Highlight

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

    Quantifying the Importance of Cold Pool Mechanisms for Convection Triggering Download a printable PDF Submitter: Kuang, Z., Harvard University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Torri G, Z Kuang, and Y Tian. 2015. "Mechanisms for convection triggering by cold pools." Geophysical Research Letters, , . ACCEPTED. Horizontal sections of (left) potential temperature and (right) water vapor specific humidity at 25 m from the model surface.

  5. Research Highlight

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

    Observed Relations Between Snowfall Microphysics and Triple-Frequency Radar Observations Download a printable PDF Submitter: Kneifel, S., McGill University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kneifel S, A von Lerber, J Tiira, D Moisseev, P Kollias, and J Leinonen. 2015. "Observed relations between snowfall microphysics and triple-frequency radar measurements." Journal of Geophysical Research - Atmospheres, 120(12),

  6. Research Highlight

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

    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:

  7. Research Highlight

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

    Turbulent Entrainment-Mixing Processes in Cumuli Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Lu C, Y Liu, and S Niu. 2014. "Entrainment mixing parameterization in shallow cumuli and effects of secondary mixing events." Chinese Science Bulletin, 59(9), doi:10.1007/s11434-013-0097-1. Relationships between homogeneous mixing degree (ψ3) and two transition scale numbers

  8. 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 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

  9. Research Highlight

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

    How to Catch Aerosols in the Act Download a printable PDF Submitter: Wang, M., Nanjing University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wang M, S Ghan, X Liu, TS L'Ecuyer, K Zhang, H Morrison, M Ovchinnikov, R Easter, R Marchand, D Chand, Y Qian, and JE Penner. 2012. "Constraining cloud lifetime effects of aerosols using A-Train satellite observations." Geophysical Research Letters, 39, L15709, doi: 10.1029/2012GL052204. S-POP derived

  10. Research Highlight

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

    Dust Takes Detour on Ice-Cloud Journey Download a printable PDF Submitter: Kulkarni, G., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Kulkarni G, C Sanders, K Zhang, X Liu, and C Zhao. 2014. "Ice nucleation of bare and sulfuric acid-coated mineral dust particles and implication for cloud properties." Journal of Geophysical Research - Atmospheres, 119(16), doi:10.1002/2014JD021567. Cirrus clouds are

  11. Research Highlight

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

    Bimodal CCN Spectra Download a printable PDF Submitter: Hudson, J. G., Desert Research Institute Area of Research: Cloud Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A Figure 1. Differential CCN concentrations (per cm3) against critical supersaturation (Sc) for MASE below cloud CCN spectra for each of the 8 modal categories. (a) cat 1, (b) cat 2, (c) cat 3, (d) cat 4, (e) cat 5, (f) cat 6, (g) cat 7, (h) cat 8. Sc in percent for, Hoppel minima are

  12. Research Highlight

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

    Deciphering Raindrop Collisions with Dual-polarization Radar Download a printable PDF Submitter: Kumjian, M., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Kumjian MR and OP Prat. 2014. "The impact of raindrop collisional processes on the polarimetric radar variables." Journal of the Atmospheric Sciences, 71(8), doi:10.1175/JAS-D-13-0357.1. (a) Changes in ZDR as a function

  13. Research Highlight

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

    The Two Faces of Aerosols Download a printable PDF Submitter: Ovink, J., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Berg LK, M Shrivastava, RC Easter, JD Fast, EG Chapman, Y Liu, and RA Ferrare. 2015. "A New WRF-Chem Treatment for Studying Regional Scale Impacts of Cloud Processes on Aerosol and Trace Gases in Parameterized Cumuli." Geoscientific Model Development, 8, doi:10.5194/gmd-8-409-2015. A new

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

    Office of Legacy Management (LM)

    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

  15. EM Marks Milestone at Separations Process Research Unit

    Broader source: Energy.gov [DOE]

    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.

  16. Research Highlight

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

    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

  17. Research Highlight

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

    Millimeter Wave Scattering from Ice Crystals and Their Aggregates Download a printable PDF Submitter: Botta, G., Pennsylvania State University Verlinde, J., The 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

  18. Research Highlight

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

    Trends in Downwelling Longwave Radiation over SGP Download a printable PDF Submitter: Gero, J., University of Wisconsin Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Gero P and DD Turner. 2011. "Long-term trends in downwelling spectral infrared radiance over the U.S. Southern Great Plains." Journal of Climate, 24(18),

  19. Research Highlight

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

    Influence of Observed Cirrus Microphysical Properties on Shortwave Radiation: a Case Study Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Nousiainen, T. P., University of Helsinki Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Mauno P, GM McFarquhar, T Nousiainen, M Timlin, M Kahnert, and P Raisanen. 2011. "The influence of cloud microphysical properties on shortwave radiation: A case study over Oklahoma."

  20. Research Highlight

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

    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., Nanjing University of Information Science and Technology 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."

  1. Research Highlight

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

    Importance of Environmental Instability to the Sensitivity of the Rimed Ice Species in Convection 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. 2013. "Impact of environmental instability on convective precipitation uncertainty associated with the nature of the rimed ice species in a bulk microphysics

  2. Research Highlight

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

    Microphysics Complexity in Squall Line Simulations 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, H Morrison, and JA Milbrandt. 2012. "Sensitivity of idealized squall-line simulations to the level of complexity used in two-moment bulk microphysics schemes." Monthly Weather Review,

  3. Research Highlight

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

    First Comes the Thunder: Precursors to Local Rainfall in the West African Monsoon Download a printable PDF Submitter: Roeder, L. R., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Dione C, M Lothon, D Badiane, B Campistron, F Couvreau, F Guichard, and S Sall. 2013. "Phenomenology of Sahelian convection observed in Niamey during the early monsoon." Quarterly Journal Royal Meteorological Society, , . ACCEPTED.

  4. 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 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),

  5. Research Highlight

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

    Effect of Environmental Instability on the Sensitivity of Convection to the Rimed Ice Species Download a printable PDF Submitter: Van Weverberg, K., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Van Weverberg K. 2013. "Impact of environmental instability on convective precipitation uncertainty associated with the nature of the rimed ice species in a bulk microphysics scheme." Monthly Weather Review, 141(8),

  6. Research Highlight

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

    Marine Stratocumulus Clouds: Turbulence-Raidation-Thermodynamics Coupling Download a printable PDF Submitter: Ghate, V. P., Argonne National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Ghate VP, BA Albrecht, MA Miller, A Brewer, and CW Fairall. 2014. "Turbulence and radiation in stratocumulus-topped marine boundary layers: A case study from VOCALS-REx." Journal of Applied Meteorology and Climatology, 53, 117-135. Figure 1.

  7. Research Highlight

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

    Characterizing Uncertainties in Ice Particle Size Distributions Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: McFarquhar GM, T Hsieh, M Freer, JR Mascio, and BF Jewett. 2015. "The characterization of ice hydrometeor gamma size distributions as volumes in N0/lambda/mu phase space: implications for microphysical process modeling." Journal of

  8. Research Highlight

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

    Evaluation of Double-Moment Microphysical Parameterization with Observations During MC3E Download a printable PDF Submitter: Pu, Z., University of Utah Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Pu Z and C Lin. 2015. "Evaluation of double-moment representation of ice hydrometeors in bulk microphysical parameterization: comparison between WRF numerical simulations and UND-Citation data during MC3E." Geoscience Letters, 2(11),

  9. Research Highlight

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

    An Improved Hindcast Approach for Evaluation and Diagnosis of Physical Processes in GCMs Download a printable PDF Submitter: Ma, H., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Ma H, C Chuang, SA Klein, M Lo, Y Zhang, S Xie, X Zheng, P Ma, Y Zhang, and TJ Phillips. 2015. "An improved hindcast approach for evaluation and

  10. Research Highlight

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

    Small Processes Make a Big Difference in Model Outcomes Submitter: Cole, J. N., Canadian Centre for Climate Modelling and Analysis Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Cole, J. N. S., H. W. Barker, D. A. Randall, M. F. Khairoutdinov, and E. E. Clothiaux (2005), Global consequences of interactions between clouds and radiation at scales unresolved by global climate models, Geophys. Res. Lett., 32,

  11. Research Highlight

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

    Diagnosing Raindrop Evaporation, Breakup, and Coalescence in Vertical Radar Observations PI Contact: Williams, C. R., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Williams CR. 2016. "Reflectivity and Liquid Water Content Vertical Decomposition Diagrams to Diagnose Vertical Evolution of Raindrop Size Distributions." Journal of Atmospheric and Oceanic Technology, 33(3), doi: 10.1175/jtech-d-15-0208.1. Example of

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

    Office of Legacy Management (LM)

    024 Separations Process Research Unit - 024 FUSRAP Considered Sites Site: Separations Process Research Unit (024) More information at http://energy.gov/em and http://spru.energy.gov Designated Name: Not Designated under FUSRAP Alternate Name: SPRU Location: Niskayuna, New York; located at the Knolls Atomic Power Laboratory Evaluation Year: Not considered for FUSRAP - in another program Site Operations: General-purpose laboratory for US Atomic Energy Commission Site Disposition: Site is

  13. Northwestern University Facility for Clean Catalytic Process Research

    SciTech Connect (OSTI)

    Marks, Tobin Jay

    2013-05-08

    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.

  14. 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 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.

  15. 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 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

  16. 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 Cycle Journal Reference: Berg LK, WI Gustafson, EI Kassianov, and D Liping. 2013. "Evaluation of a modified scheme for shallow convection: Implementation of CuP and case studies." Monthly Weather Review, 141, doi:10.1175/MWR-D-12-00136.1. Cumulus Potential (CuP) parameterization leads to improved forecasts of

  17. Research Highlight

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

    Diurnal Variation of MBL Cloud Properties over the Azores Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Dong X, B Xi, and P Wu. 2014. "Investigation of the diurnal variation of marine boundary layer cloud microphysical properties at the Azores." Journal of Climate, , . ONLINE. Dong X, B Xi, A Kennedy, P Minnis, and R Wood. 2014. "A 19-month record of marine

  18. ARM - Measurement - Cloud droplet size

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

    Impactor MIRAI : JAMSTEC Research Vessel Mirai PDI : Phase Doppler Interferometer UAV-PROTEUS-MICRO : Proteus Cloud Microphysics Instruments SPEC-CPI : Stratton Park ...

  19. ARM - Measurement - Cloud optical depth

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

    TWST : Three Waveband Spectrally-agile Technique Sensor WRF-CHEM : Weather Research and Forecasting (WRF) Model Output Value-Added Products LBTM-MINNIS : Minnis Cloud Products...

  20. Research Highlight

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

    Assessment of CloudSat Using ARM, AMF, and CloudNet Observations Download a printable PDF Submitter: Protat, A., Australian Bureau of Meterology May, P. T., Bureau of Meteorology O'Connor, E. J., University of Reading Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Submitted. PDF of cloud reflectivity (upper-left), cloud top height (upper-right), thickness (lower-left), and cloud base height (lower right) as measured by the Darwin

  1. 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 Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A (a) A conceptual diagram of cloud particle size vertical evolution inside a deep convective cloud. (b) Cloud side scanner retrievals of (left) particle size and (right) cloud phase. Homogeneous freezing is inefficient at temperatures

  2. Research Highlight

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

    Area of Research: Cloud DistributionsCharacterizations Working Group(s): Cloud Life Cycle Journal Reference: Zhao Y, GG Mace, and JM Comstock. 2011. "The occurrence of particle ...

  3. Research Highlight

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

    ARM Sites Enable Assessment of Cluster Analysis for Identifying Cloud Regimes Submitter: Jakob, C., Monash University Area of Research: Cloud DistributionsCharacterizations...

  4. Parameterizing Size Distribution in Ice Clouds

    SciTech Connect (OSTI)

    DeSlover, Daniel; Mitchell, David L.

    2009-09-25

    optical properties formulated in terms of PSD parameters in combination with remote measurements of thermal radiances to characterize the small mode. This is possible since the absorption efficiency (Qabs) of small mode crystals is larger at 12 m wavelength relative to 11 m wavelength due to the process of wave resonance or photon tunneling more active at 12 m. This makes the 12/11 m absorption optical depth ratio (or equivalently the 12/11 m Qabs ratio) a means for detecting the relative concentration of small ice particles in cirrus. Using this principle, this project tested and developed PSD schemes that can help characterize cirrus clouds at each of the three ARM sites: SGP, NSA and TWP. This was the main effort of this project. These PSD schemes and ice sedimentation velocities predicted from them have been used to test the new cirrus microphysics parameterization in the GCM known as the Community Climate Systems Model (CCSM) as part of an ongoing collaboration with NCAR. Regarding the second problem, we developed and did preliminary testing on a passive thermal method for retrieving the total water path (TWP) of Arctic mixed phase clouds where TWPs are often in the range of 20 to 130 g m-2 (difficult for microwave radiometers to accurately measure). We also developed a new radar method for retrieving the cloud ice water content (IWC), which can be vertically integrated to yield the ice water path (IWP). These techniques were combined to determine the IWP and liquid water path (LWP) in Arctic clouds, and hence the fraction of ice and liquid water. We have tested this approach using a case study from the ARM field campaign called M-PACE (Mixed-Phase Arctic Cloud Experiment). This research led to a new satellite remote sensing method that appears promising for detecting low levels of liquid water in high clouds typically between -20 and -36 oC. We hope to develop this method in future research.

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

    SciTech Connect (OSTI)

    Speight, J.G.

    1992-01-01

    Accomplishments for the past quarter are presented for the following five tasks: oil shale; tar sand; coal; advanced exploratory process technology; and jointly sponsored research. Oil shale research covers oil shale process studies. Tar sand research is on process development of Recycle Oil Pyrolysis and Extraction (ROPE) Process. Coal research covers: coal combustion; integrated coal processing concepts; and solid waste management. Advanced exploratory process technology includes: advanced process concepts;advanced mitigation concepts; and oil and gas technology. Jointly sponsored research includes: 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; characterization of petroleum residue; shallow oil production using horizontal wells with enhanced oil recovery techniques; surface process study for oil recovery using a thermal extraction process; NMR analysis of samples from the ocean drilling program; in situ treatment of manufactured gas plant contaminated soils demonstration program; and solid state NMR analysis of naturally and artificially matured kerogens.

  6. ARM - Measurement - Cloud size

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

    measurements as cloud thickness, cloud area, and cloud aspect ratio. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  7. ARM - Publications: Science Team Meeting Documents: Cloud Radiative...

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

    Research Facility: Part 2. The Vertical Redistribution of Radiant Energy by Clouds. ... Documentation with data of the effects of clouds on the radiant energy balance of the ...

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

    SciTech Connect (OSTI)

    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.

    2011-12-24

    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.

  9. Holistic Interactions of Shallow Clouds,

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

    Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems Research Instrumentation HI-SCALE will utilize the ARM Aerial Facility's Gulfstream-159 (G-1), as well as ground instrumentation located at the SGP megasite. 7e G-1 will complete transects over the site at multiple altitudes within the boundary layer, within clouds, and above clouds. 7e payload on the G-1 includes: * high frequency meteorological and radiation (both up and downwelling) measurements that also permit computing

  10. 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 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,

  11. Research Highlight

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

    Evaluation of WRF Microphysics Schemes in Squall Line Simulations Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wu D, B Xi, Z Feng, A Kennedy, M Grenchen, G Matt, and T W-K. 2013. "The impact of various WRF single-moment microphysics parameterizations on squall line precipitation events." Journal of Geophysical Research - Atmospheres, 118, doi:10.1002/jgrd.50798. Comparison of

  12. 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 Group(s): Cloud Life Cycle Journal Reference: Lappen C and C Schumacher. 2014. "The role of tilted heating in the evolution of the MJO." Journal of Geophysical Research - Atmospheres, , 10.1002/2013JD020638. ACCEPTED. In this figure, November through April wavenumber frequency spectrum of OLR (colors) and 850

  13. Research Highlight

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

    Python ARM Radar Toolkit, the World's Leading Interactive Radar Toolkit PI Contact: Helmus, J., Argonne National Laboratory Collis, S. M., Argonne National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Helmus JJ and SM Collis. 2016. "The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language." Journal of Open Research Software., 4(1), doi:10.5334/jors.119. The Python ARM

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

    SciTech Connect (OSTI)

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

    2014-05-16

    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.

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

    SciTech Connect (OSTI)

    Not Available

    1992-01-01

    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.

  16. Research Highlight

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

    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

  17. Research Highlight

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

    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

  18. 2004 research briefs :Materials and Process Sciences Center.

    SciTech Connect (OSTI)

    Cieslak, Michael J.

    2004-01-01

    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.

  19. Research Highlight

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

    A New Method for Satellite/Surface Comparisons Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES 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

  20. ARM - Measurement - Cloud type

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

    Measurement : Cloud type Cloud type such as cirrus, stratus, cumulus etc Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  1. Biogenic Aerosols - Effects on Climate and Clouds. Cloud Optical...

    Office of Scientific and Technical Information (OSTI)

    A good range of cloud conditions were observed from clear sky to heavy rainfall. Authors: Niple, E. R. 1 ; Scott, H. E. 1 + Show Author Affiliations Aerodyne Research, Inc., ...

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

    SciTech Connect (OSTI)

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

    2010-03-15

    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

  3. Parameterization and analysis of 3-D radiative transfer in clouds

    SciTech Connect (OSTI)

    Varnai, Tamas

    2012-03-16

    This report provides a summary of major accomplishments from the project. The project examines the impact of radiative interactions between neighboring atmospheric columns, for example clouds scattering extra sunlight toward nearby clear areas. While most current cloud models don't consider these interactions and instead treat sunlight in each atmospheric column separately, the resulting uncertainties have remained unknown. This project has provided the first estimates on the way average solar heating is affected by interactions between nearby columns. These estimates have been obtained by combining several years of cloud observations at three DOE Atmospheric Radiation Measurement (ARM) Climate Research Facility sites (in Alaska, Oklahoma, and Papua New Guinea) with simulations of solar radiation around the observed clouds. The importance of radiative interactions between atmospheric columns was evaluated by contrasting simulations that included the interactions with those that did not. This study provides lower-bound estimates for radiative interactions: It cannot consider interactions in cross-wind direction, because it uses two-dimensional vertical cross-sections through clouds that were observed by instruments looking straight up as clouds drifted aloft. Data from new DOE scanning radars will allow future radiative studies to consider the full three-dimensional nature of radiative processes. The results reveal that two-dimensional radiative interactions increase overall day-and-night average solar heating by about 0.3, 1.2, and 4.1 Watts per meter square at the three sites, respectively. This increase grows further if one considers that most large-domain cloud simulations have resolutions that cannot specify small-scale cloud variability. For example, the increases in solar heating mentioned above roughly double for a fairly typical model resolution of 1 km. The study also examined the factors that shape radiative interactions between atmospheric columns and

  4. Research Highlight

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

    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.

  5. Research Highlight

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

    ARM Data Used to Evaluate Reanalysis Results Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Dolinar E, X Dong, and B Xi. 2015. "Evaluation and intercomparison of clouds, precipitation, and radiation budgets in recent reanalyses using satellite-surface observations." Climate Dynamics, , DOI 10.1007/s00382-0, 10.1007/s00382-0. Figure 1. Monthly means of CF (a), SWDNsfc (b),

  6. Research Highlight

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

    A Surprising Problem with Thin Liquid Water Clouds 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: D.D. Turner, A.M. Vogelmann, R.T. Austin, J.C. Barnard, K. Cady-Pereira, J.C. Chiu, S.A. Clough, C. Flynn, M. M. Khaiyer, J. Liljegren, K. Johnson, B. Lin, C. Long, A. Marshak, S. Y. Matrosov, S.A. McFarlane, M. Miller, Q. Min, P. Minnis, W. O'Hirok, Z.

  7. Research Highlight

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

    Quasi-Vertical Profiles - a New Way to Look at Polarimetric Radar Data PI Contact: Ryzhkov, A., National Severe Storms Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Ryzhkov A, P Zhang, H Reeves, M Kumjian, T Tschallener, S Trömel, and C Simmer. 2016. "Quasi-Vertical Profiles - A New Way to Look at Polarimetric Radar Data." Journal of Atmospheric and Oceanic Technology, 33(3), doi:10.1175/JTECH-D-15-0020.1. An example of composite

  8. Research Highlight

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

    Trace Gas Removal by Deep Convective Storms PI Contact: Yang, Q., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Bela MM, MC Barth, OB Toon, A Fried, CR Homeyer, H Morrison, KA Cummings, Y Li, KE Pickering, DJ Allen, Q Yang, PO Wennberg, JD Crounse, JM St. Clair, AP Teng, D O'Sullivan, L Huey, D Chen, X Liu, DR Blake, NJ Blake, EC Apel, RS Hornbrook, F Flocke, T Campos, and G Diskin. 2016. "Wet scavenging of

  9. Research Highlight

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

    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

  10. Research Highlight

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

    Thin Is In Download a printable PDF Submitter: Tomlinson, J., Pacific Northwest National Laboratory Long, C. N., NOAA Global Monitoring Division/CIRES Comstock, J. M., Pacific Northwest National Laboratory Ronfeld, D., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Properties Journal Reference: N/A The Twin Otter takes off to test the onboard instruments for the RACORO field campaign that began in January 2009. Researchers are gathering data

  11. 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 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

  12. 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 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:

  13. 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 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:

  14. Research Highlight

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

    A Decade and Counting Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Long CN, SA McFarlane, A Del Genio, P Minnis, TP Ackerman, J Mather, J Comstock, GG Mace, M Jensen, and C Jakob. 2013. "ARM research in the equatorial western Pacific - a decade and counting." Bulletin of the American Meteorological Society, 94(5),

  15. Research Highlight

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

    Checking Up on Tropical Sunlight Download a printable PDF Submitter: Riihimaki, L., Pacific Northwest National Laboratory Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Riihimaki LD and CN Long. 2014. "Spatial variability of surface irradiance measurements at the Manus ARM site." Journal of Geophysical Research - Atmospheres, 119(9), 5475-5491. ACCEPTED. The radiometer system used at the

  16. Dispelling Clouds of Uncertainty

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lewis, Ernie; Teixeira, João

    2015-06-15

    How do you build a climate model that accounts for cloud physics and the transitions between cloud regimes? Use MAGIC.

  17. 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 by 8 Years of Continuous Measurements Submitter: Mace, G., University of Utah 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

  18. Research Highlight

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

    A Climatology of Midlatitude Continental Cloud Properties and Their Impact on the Surface Radiation Budget Submitter: Dong, X., University of Arizona Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Dong, X., P. Minnis, and B. Xi, 2005: A climatology of midlatitude continental clouds from ARM SGP site. Part I: Low-level Cloud Macrophysical, microphysical and radiative properties. J. Climate. 18, 1391-1410. Dong, X., B. Xi, and P.

  19. 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 and Precipitation Download a printable PDF Submitter: GSFC, N., NASA GSFC 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.

  20. 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 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

  1. Research Highlight

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

    Intercomparison of Model Simulations of Arctic Mixed-Phase Clouds Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, P Zuidema, AS Ackerman, A Avramov, G de Boer, J Fan, AM Fridlind, T Hashino, JY Harrington, Y Luo, M Ovchinnikov, and B Shipway. 2011. "Intercomparison of cloud model simulations of Arctic mixed-phase boundary layer clouds observed during

  2. 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 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."

  3. Research Highlight

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

    Tropical Rain Clouds Still a Challenge to Cloud-Resolving Models 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 Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Fridlind AM, AS Ackerman, J Chaboureau, J Fan, WW Grabowski, AA Hill, TR Jones, MM Khaiyer, G Liu, P Minnis, H Morrison, L Nguyen,

  4. 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 for Aerosol Indirect Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Lu, C., Nanjing University of Information Science and Technology 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

  5. Research Highlight

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

    Pointing Scanning Cloud Radar in the Right Direction Download a printable PDF Submitter: Fielding, M. D., European Centre for Medium-Range Weather Forecasts Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Fielding MD, JC Chiu, RJ Hogan, and G Feingold. 2013. "3D cloud reconstructions: Evaluation of scanning radar scan strategy with a view to surface shortwave radiation closure."

  6. Research Highlight

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

    Turn Trash Into Treasure: Continental Warm Cloud Properties Derived from Unexploited Solar Background Signals Download a printable PDF Submitter: Chiu, J., University of Reading Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Chiu JC, JA Holmes, RJ Hogan, and EJ O'Connor. 2014. "The interdependence of continental warm cloud properties derived from unexploited solar background signals in

  7. Research Highlight

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

    Clouds, Aerosol, and Precipitation in the Marine Boundary Layer: an ARM Mobile Facility Deployment Download a printable PDF Submitter: Wood, R., University of Washington Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A Composite seasonal cycles of (a) cloud droplet concentration retrieved using a variety of methods; (b) surface measured cloud condensation nuclei concentrations at four supersaturations.

  8. 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., University of Nevada Reno Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Barnard, J. C., and C. N. Long, (2004): A Simple Empirical Equation to Calculate Cloud Optical Thickness Using Shortwave Broadband Measurement, JAM, 43, 1057-1066. Distributions of cloud optical thickness reveal that the empirical method (dashed line) closely

  9. Research Highlight

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

    Characterizing the Co-Existence of Water and Ice in Arctic Clouds Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Greg M. McFarquhar and Stewart G. Cober. 2004: Single-Scattering Properties of Mixed-Phase Arctic Clouds at Solar Wavelengths: Impacts on Radiative Transfer. Journal of Climate: Vol. 17, No. 19, pp. 3799-3813. Analyses of in-cloud observations obtained during

  10. Research Challenge 3: Competing Radiative and Nonradiative Processes

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

    Energy Frontier Research Centers: Solid-State Lighting Science Center for Frontiers of ... HomeEnergy ResearchEFRCsSolid-State Lighting Science EFRCOur SSLS EFRC's Scientific ...

  11. Research Highlight

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

    Multiyear Statistics of 2D Shortwave Radiative Effects at Three ARM Sites Download a printable PDF Submitter: Varnai, T., University of Maryland, Baltimore County/JCEST Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Varnai T. 2010. "Multiyear statistics of 2D shortwave radiative effects at three ARM sites." Journal of the Atmospheric Sciences, 67, 3757-3762. Multiyear average influence of 2D radiative processes on total (surface and

  12. Research Highlight

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

    Optical Properties of the 1997 TWP Smoke Event Submitter: Spinhirne, J., University of Arizona Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: N/A Figure 1. MPL image showing evolution of early September, 1997 smoke event at Manus, TWP. Figure 2. Selected aerosol extinction cross section profiles at the ARM TWP site during 1997 showing progression of aerosol loading. Figure 3. Cloud-cleared optical measurements at the TWP site from July 27 to

  13. BAECC Biogenic Aerosols - Effects on Clouds and Climate

    SciTech Connect (OSTI)

    Petäjä, Tuukka; Moisseev, Dmitri; Sinclair, Victoria; O'Connor, Ewan J.; Manninen, Antti J.; Levula, Janne; Väänänen, Riikka; Heikkinen, Liine; Äijälä, Mikko; Aalto, Juho; Bäck, Jaana

    2015-11-01

    “Biogenic Aerosols - Effects on Clouds and Climate (BAECC)”, featured the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Program’s 2nd Mobile Facility (AMF2) in Hyytiälä, Finland. It operated for an 8-month intensive measurement campaign from February to September 2014. The main research goal was to understand the role of biogenic aerosols in cloud formation. One of the reasons to perform BAECC study in Hyytiälä was the fact that it hosts SMEAR-II (Station for Measuring Forest Ecosystem-Atmosphere Relations), which is one of the world’s most comprehensive surface in-situ observation sites in a boreal forest environment. The station has been measuring atmospheric aerosols, biogenic emissions and an extensive suite of parameters relevant to atmosphere-biosphere interactions continuously since 1996. The BAECC enables combining vertical profiles from AMF2 with surface-based in-situ SMEAR-II observations and allows the processes at the surface to be directly related to processes occurring throughout the entire tropospheric column. With the inclusion of extensive surface precipitation measurements, and intensive observation periods involving aircraft flights and novel radiosonde launches, the complementary observations of AMF2 and SMEAR-II provide a unique opportunity for investigating aerosol-cloud interactions, and cloud-to-precipitation processes. The BAECC dataset will initiate new opportunities for evaluating and improving models of aerosol sources and transport, cloud microphysical processes, and boundary-layer structures.

  14. RESEARCH ON CARBON PRODUCTS FROM COAL USING AN EXTRACTIVE PROCESS

    SciTech Connect (OSTI)

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

    2002-03-31

    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

  15. Acidity dependence on cloud drop sizes, enhancement of sulfate production in clouds and its climatic implications from cloud water collected at a remote eastern US site. Master`s thesis

    SciTech Connect (OSTI)

    Logie, B.D.

    1995-09-10

    Two different cloud water collectors were operated simultaneously on a mountain-top platform in Mt. Mitchell State Park, North Carolina (35 deg 44` 05 N 82 deg 17` 15W) to assess differences, if any, in measured acidity, ionic concentrations, and liquid water collection efficiencies during the summer, 1994. The cloud water collectors used were the Daube California Institute of Technology active-string collector (CALTECH) and the non-rotating passive Atmospheric Sciences Research Center string collector. Both collectors transfer cloud water into their sampling bottles by a process analogous to the collision-coalescence process in precipitation initiation by which cloud droplets accumulate on the collector strings and are then transferred to collection bottles as the droplets become large enough to fall. These large drops, in turn, acquire smaller droplets along their path.

  16. Quantifying Diurnal Cloud Radiative Effects by Cloud Type in the Tropical Western Pacific

    SciTech Connect (OSTI)

    Burleyson, Casey D.; Long, Charles N.; Comstock, Jennifer M.

    2015-06-01

    Cloud radiative effects are examined using long-term datasets collected at the three Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facilities in the tropical western Pacific. We quantify the surface radiation budget, cloud populations, and cloud radiative effects by partitioning the data by cloud type, time of day, and as a function of large scale modes of variability such as El Niño Southern Oscillation (ENSO) phase and wet/dry seasons at Darwin. The novel facet of our analysis is that we break aggregate cloud radiative effects down by cloud type across the diurnal cycle. The Nauru cloud populations and subsequently the surface radiation budget are strongly impacted by ENSO variability whereas the cloud populations over Manus only shift slightly in response to changes in ENSO phase. The Darwin site exhibits large seasonal monsoon related variations. We show that while deeper convective clouds have a strong conditional influence on the radiation reaching the surface, their limited frequency reduces their aggregate radiative impact. The largest source of shortwave cloud radiative effects at all three sites comes from low clouds. We use the observations to demonstrate that potential model biases in the amplitude of the diurnal cycle and mean cloud frequency would lead to larger errors in the surface energy budget compared to biases in the timing of the diurnal cycle of cloud frequency. Our results provide solid benchmarks to evaluate model simulations of cloud radiative effects in the tropics.

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

    SciTech Connect (OSTI)

    Not Available

    2009-01-01

    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.

  18. SU-D-BRD-02: A Web-Based Image Processing and Plan Evaluation Platform (WIPPEP) for Future Cloud-Based Radiotherapy

    SciTech Connect (OSTI)

    Chai, X; Liu, L; Xing, L

    2014-06-01

    Purpose: Visualization and processing of medical images and radiation treatment plan evaluation have traditionally been constrained to local workstations with limited computation power and ability of data sharing and software update. We present a web-based image processing and planning evaluation platform (WIPPEP) for radiotherapy applications with high efficiency, ubiquitous web access, and real-time data sharing. Methods: This software platform consists of three parts: web server, image server and computation server. Each independent server communicates with each other through HTTP requests. The web server is the key component that provides visualizations and user interface through front-end web browsers and relay information to the backend to process user requests. The image server serves as a PACS system. The computation server performs the actual image processing and dose calculation. The web server backend is developed using Java Servlets and the frontend is developed using HTML5, Javascript, and jQuery. The image server is based on open source DCME4CHEE PACS system. The computation server can be written in any programming language as long as it can send/receive HTTP requests. Our computation server was implemented in Delphi, Python and PHP, which can process data directly or via a C++ program DLL. Results: This software platform is running on a 32-core CPU server virtually hosting the web server, image server, and computation servers separately. Users can visit our internal website with Chrome browser, select a specific patient, visualize image and RT structures belonging to this patient and perform image segmentation running Delphi computation server and Monte Carlo dose calculation on Python or PHP computation server. Conclusion: We have developed a webbased image processing and plan evaluation platform prototype for radiotherapy. This system has clearly demonstrated the feasibility of performing image processing and plan evaluation platform through a web

  19. Research Highlight

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

    Area of Research: Cloud DistributionsCharacterizations Working Group(s): Cloud Modeling Journal Reference: Naud, C, A Del Genio, GG Mace, S Benson, EE Clothiaux, and P Kollias. ...

  20. Research Highlight

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

    Area of Research: Cloud DistributionsCharacterizations Working Group(s): Cloud Properties Journal Reference: Wang X, KN Liou, SS Ou, GG Mace, and M Deng. 2009. "Remote sensing of ...

  1. 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:...

  2. Chemical Characterization of Individual Particles and Residuals of Cloud Droplets and Ice Crystals Collected On Board Research Aircraft in the ISDAC 2008 Study

    SciTech Connect (OSTI)

    Hiranuma, Naruki; Brooks, Sarah D.; Moffet, Ryan C.; Glen, Andrew; Laskin, Alexander; Gilles, Marry K.; Liu, Peter; MacDonald, A. M.; Strapp, J. Walter; McFarquhar, Greg

    2013-06-24

    Although it has been shown that size of atmospheric particles has a direct correlation with their ability to act as cloud droplet and ice nuclei, the influence of composition of freshly emitted and aged particles in nucleation processes is poorly understood. In this work we combine data from field measurements of ice nucleation with chemical imaging of the sampled particles to link aerosol composition with ice nucleation ability. Field measurements and sampling were conducted during the Indirect and Semidirect Aerosols Campaign (ISDAC) over Barrow, Alaska, in the springtime of 2008. In-situ ice nucleation measurements were conducted using a Continuous Flow Diffusion Chamber (CFDC). Measured number concentrations of ice nuclei (IN) varied from frequent values of 0.01 per liter to more than 10 per liter. Residuals of airborne droplets and ice crystals were collected through a counterflow virtual impactor (CVI). The compositions of individual atmospheric particles and the residuals were studied using Computer Controlled Scanning Electron Microscopy with Energy Dispersive X-ray analysis (CCSEM/EDX) and Scanning Transmission X-ray Microscopy coupled with Near Edge X-ray Absorption Fine Structure spectroscopy (STXM/NEXAFS). Chemical analysis of cloud particle residuals collected during an episode of high ice nucleation suggests that both size and composition may influence aerosol's ability to act as IN. The STXM/NEXAFS chemical composition maps of individual residuals have characteristic structures of either inorganic or black carbon cores coated by organic materials. In a separate flight, particle samples from a biomass burning plume were collected. Although it has previously been suggested that episodes of biomass burning contribute to increased numbers of highly effective ice nuclei, in this episode we observed that only a small fraction were effective ice nuclei. Most of the particles from the biomass plume episode were smaller in size and were composed of

  3. RACORO long-term, systematic aircraft observations of boundary layer clouds

    SciTech Connect (OSTI)

    Vogelmann, A.M.; McFarquhar, G.; Ogren, J.; Turner, D. D.; Comstock, J. M.; Feingold, G.; Long, C. N.; Jonsson, H. H.; Bucholtz, A.; Collins, D. R.; Diskin, G.; Gerber, H.; Lawson, R. P.; Woods, R. K.; Hubbe, J.; Tomlinson, J.; Schmid, B.

    2010-06-27

    Our knowledge of boundary layer cloud processes is insufficient to resolve pressing scientific problems. Boundary layer clouds often have liquid-water paths (LWPs) less than 100 gm{sup 2}, which are defined here as being 'thin' Clouds with Low Optical Water Depths (CLOWD). This type of cloud is common globally, and the Earth's radiative energy balance is particularly sensitive to small changes in their optical properties. However, it is difficult to retrieve accurately their cloud properties via remote sensing because they are tenuous and often occur in partly cloudy skies. This interferes with our ability to obtain the routine, long-term statistics needed to improve their representation in climate models. To address this problem, in-situ data are needed to investigate cloud processes and to evaluate and refine existing retrieval algorithms. Coordinated by the ARM Aerial Facility (AAF), the Routine AAF CLOWD Optical Radiative Observations (RACORO) field campaign conducted long-term, systematic flights in boundary layer, liquid-water clouds over the ARM Southern Great Plains (SGP) site between 22 January and 30 June 2009. This was the first time that a long-term aircraft campaign was undertaken for systematic in-situ sampling of cloud properties. Using the CIRPAS Twin Otter aircraft equipped with a comprehensive set of instruments to measure solar and thermal radiation, cloud microphysics, aerosol properties and atmospheric state, the RACORO team logged an unprecedented 59 flights and 259 research hours above the SGP site. Data gathered during the RACORO campaign will provide researchers with a statistically relevant data set of boundary-layer cloud and aerosol properties for future study. These data can be used to validate retrieval algorithms and support process studies and model simulations of boundary layer clouds and, in particular, CLOWD-type clouds. In addition to cloud observations, complementary clear-sky flight patterns were conducted to map the surface

  4. 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 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

  5. Research Highlight

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

    Threshold Radar Reflectivity Separating Precipitating from Non-Precipitating Clouds Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Liu, Y, B Geerts, PH Daum, R McGraw, and M Miller. 2008. "Threshold radar reflectivity for drizzling clouds." Geophysical Research Letters 35, L03807, doi:10.1029/2007GL031201. Figure 1 shows the comparison of the

  6. 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 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

  7. Research Highlight

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

    Detection and Retrieval of Cirrus Clouds in the Tropics from AIRS: Validation from ARM Data Submitter: Yue, Q., Jet Propulsion Laboratory/California Institute of Technology Liou, K., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Yue Q and KN Liou. 2009. "Cirrus cloud optical and microphysical properties determined from AIRS infrared spectra." Geophysical Research Letters, 36, L05810,

  8. Research Highlight

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

    The Influence of Parameterized Ice Habit on Simulated Mixed-Phase Arctic Clouds Download a printable PDF Submitter: Harrington, J. Y., Pennsylvania State University Avramov, A., Columbia University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Avramov A and JY Harrington. 2010. "Influence of parameterized ice habit on simulated mixed phase Arctic clouds." Journal of Geophysical Research - Atmospheres, 115, D03205,

  9. Research Highlight

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

    New Method for Retrieving Cloud Heights from Satellite Data Download a printable PDF Submitter: Chang, F., Science Systems and Applications, Inc. Minnis, P., NASA - Langley Research Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Chang F, P Minnis, B Lin, MM Khaiyer, R Palikonda, and DA Spangenberg. 2010. "A modified method for inferring cloud top height using GOES-12 imager 10.7- and 13.3-µm data." Journal of

  10. Research Highlight

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

    Possible Impact of Homogeneous Freezing Nucleation on in Situ Measurements Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Mishra, S., DOE - SunShot Initiative, AAAS S&T Policy Fellow Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mitchell DL, S Mishra, and RP Lawson. 2011. Cirrus Clouds and Climate Engineering: New Findings on Ice Nucleation and Theoretical

  11. Research Highlight

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

    Evaluation of Cloud Properties in Major Reanalyses Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Wu, W., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Wu W, YG Liu, and AK Betts. 2012. "Observationally based evaluation of NWP reanalyses in modeling cloud properties over the Southern Great Plains." Journal of Geophysical Research - Atmospheres, 117, D12202,

  12. Research Highlight

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

    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, 71(1), 10.1175/JAS-D-13-086.1. Figure 1. Effective cloud supersaturation

  13. Research Highlight

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

    Research Masters the Misunderstood Mixed-Phase Cloud Download a printable PDF Submitter: Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Ovchinnikov M, AS Ackerman, A Avramov, A Cheng, J Fan, AM Fridland, S Ghan, J Harrington, C Hoose, A Korolev, GM McFarquhar, H Morrison, M Paukert, J Savre, BJ Shipway, MD Shupe, A Solomon, and K

  14. Research Highlight

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

    How Well Are Shallow Convective Clouds Simulated in the CAM5 Model? Download a printable PDF Submitter: Chandra, A. S., University of Miami Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Chandra AS, C Zhang, SA Klein, and H Ma. 2015. "Low-cloud characteristics over the tropical western Pacific from ARM observations and CAM5 simulations." Journal of Geophysical Research - Atmospheres, 120, 52402, doi:10.1002/2015JD02.

  15. Research Highlight

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

    Stereo Photogrammetry Reveals Substantial Drag on Cloud Thermals Download a printable PDF Submitter: Romps, D., Lawrence Berkeley National Laboratory Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Romps DM and R Oktem. 2015. "Stereo photogrammetry reveals substantial drag on cloud thermals." Geophysical Research Letters, , doi:10.1002/2015GL064009. ONLINE. A 14-minute sequence of cloud growth as observed by a camera located at the MAST Academy

  16. Research Highlight

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

    Retrieving Cloud and Aerosol Properties from the ARM Raman Lidar Download a printable PDF Submitter: Thorsen, T., NASA - Langley Research Center Fu, Q., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Thorsen TJ, Q Fu, RK Newsom, DD Turner, and JM Comstock. 2015. "Automated retrieval of cloud and aerosol properties from the ARM Raman lidar, Part I: Feature detection." Journal of

  17. Research Highlight

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

    The Role of Ice Nuclei Recycling in the Maintenance of Cloud Ice in Arctic Mixed-phase Stratocumulus Download a printable PDF Submitter: Solomon, A., NOAA/ESRL/Physical Sciences Division Feingold, G., NOAA - Earth System Research Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle Journal Reference: Solomon A, G Feingold, and MD Shupe. 2015. "The role of ice nuclei recycling in the maintenance of cloud ice in Arctic mixed-phase

  18. Research Highlight

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

    Observation of Fair-weather Cumuli over Land Dynamical Factors Controlling Cloud Size and Cover Download a printable PDF Submitter: Lamer, K., Pennsylvania State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Lamer K and P Kollias. 2015. "Observations of fair-weather cumuli over land: dynamical factors controlling cloud size and cover." Geophysical Research Letters, , . ACCEPTED. Statistics of coherent updrafts

  19. Research Highlight

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

    Characterizing Arctic Mixed-Phase Cloud Structure Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Qiu S, X Dong, B Xi, and F Li. 2015. "Characterizing Arctic mixed-phase cloud structure and its relationship with humidity and temperature inversion using ARM NSA observations." Journal of Geophysical Research - Atmospheres, 120, 10.1002/2014JD023022. Figure 1.

  20. Wind Program Manufacturing Research Advances Processes and Reduces...

    Office of Environmental Management (EM)

    cost of wind energy begins on the factory floor, the Department of Energy's (DOE's) Wind Program supports research ... source of renewable energy for communities nationwide. ...

  1. X.509 Authentication/Authorization in FermiCloud

    SciTech Connect (OSTI)

    Kim, Hyunwoo; Timm, Steven

    2014-11-11

    We present a summary of how X.509 authentication and authorization are used with OpenNebula in FermiCloud. We also describe a history of why the X.509 authentication was needed in FermiCloud, and review X.509 authorization options, both internal and external to OpenNebula. We show how these options can be and have been used to successfully run scientific workflows on federated clouds, which include OpenNebula on FermiCloud and Amazon Web Services as well as other community clouds. We also outline federation options being used by other commercial and open-source clouds and cloud research projects.

  2. RACORO Extended-Term Aircraft Observations of Boundary-Layer Clouds

    SciTech Connect (OSTI)

    Vogelmann, A. M.; McFarquhar, Greg; Ogren, John A.; Turner, David D.; Comstock, Jennifer M.; Feingold, G.; Long, Charles N.; Jonsson, Haf; Bucholtz, Anthony; Collins, Donald R.; Diskin, G. S.; Gerber, H.; Lawson, Paul; Woods, Roy; Andrews, Elizabeth; Yang, Hee-Jung; Chiu, Christine J.; Hartsock, Daniel; Hubbe, John M.; Lo, Chaomei; Marshak, A.; Monroe, Justin; McFarlane, Sally A.; Schmid, Beat; Tomlinson, Jason M.; Toto, Tami

    2012-06-30

    A first-of-a-kind, extended-term cloud aircraft campaign was conducted to obtain an in-situ statistical characterization of boundary-layer clouds needed to investigate cloud processes and refine retrieval algorithms. Coordinated by the Atmospheric Radiation Measurement (ARM) Aerial Facility (AAF), the Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) field campaign operated over the ARM Southern Great Plains (SGP) site from 22 January to 30 June 2009, collecting 260 h of data during 59 research flights. A comprehensive payload aboard the Center for Interdisciplinary Remotely-Piloted Aircraft Studies (CIRPAS) Twin Otter aircraft measured cloud microphysics, solar and thermal radiation, aerosol properties, and atmospheric state parameters. Proximity to the SGP's extensive complement of surface measurements provides ancillary data that supports modeling studies and enables evaluating a variety of surface retrieval algorithms. The five-month duration enabled sampling a range of conditions associated with the seasonal transition from winter to summer. Although about two-thirds of the cloud flights occurred in May and June, boundary-layer cloud fields were sampled under a variety of environmental and aerosol conditions, with about 75% of the flights occurring in cumulus and stratocumulus. Preliminary analyses show how these data are being used to analyze cloud-aerosol relationships, determine the aerosol sizes that are responsible for nucleating cloud drops, characterize the horizontal variability of the cloud radiative impacts, and evaluate air-borne and surface-based cloud property retrievals. We discuss how conducting an extended-term campaign requires a simplified operating paradigm that is different from that used for typical, short-term, intensive aircraft field programs.

  3. Evaluating cloud retrieval algorithms with the ARM BBHRP framework

    SciTech Connect (OSTI)

    Mlawer,E.; Dunn,M.; Mlawer, E.; Shippert, T.; Troyan, D.; Johnson, K. L.; Miller, M. A.; Delamere, J.; Turner, D. D.; Jensen, M. P.; Flynn, C.; Shupe, M.; Comstock, J.; Long, C. N.; Clough, S. T.; Sivaraman, C.; Khaiyer, M.; Xie, S.; Rutan, D.; Minnis, P.

    2008-03-10

    Climate and weather prediction models require accurate calculations of vertical profiles of radiative heating. Although heating rate calculations cannot be directly validated due to the lack of corresponding observations, surface and top-of-atmosphere measurements can indirectly establish the quality of computed heating rates through validation of the calculated irradiances at the atmospheric boundaries. The ARM Broadband Heating Rate Profile (BBHRP) project, a collaboration of all the working groups in the program, was designed with these heating rate validations as a key objective. Given the large dependence of radiative heating rates on cloud properties, a critical component of BBHRP radiative closure analyses has been the evaluation of cloud microphysical retrieval algorithms. This evaluation is an important step in establishing the necessary confidence in the continuous profiles of computed radiative heating rates produced by BBHRP at the ARM Climate Research Facility (ACRF) sites that are needed for modeling studies. This poster details the continued effort to evaluate cloud property retrieval algorithms within the BBHRP framework, a key focus of the project this year. A requirement for the computation of accurate heating rate profiles is a robust cloud microphysical product that captures the occurrence, height, and phase of clouds above each ACRF site. Various approaches to retrieve the microphysical properties of liquid, ice, and mixed-phase clouds have been processed in BBHRP for the ACRF Southern Great Plains (SGP) and the North Slope of Alaska (NSA) sites. These retrieval methods span a range of assumptions concerning the parameterization of cloud location, particle density, size, shape, and involve different measurement sources. We will present the radiative closure results from several different retrieval approaches for the SGP site, including those from Microbase, the current 'reference' retrieval approach in BBHRP. At the NSA, mixed-phase clouds and

  4. Embracing the Cloud for Better Cyber Security

    SciTech Connect (OSTI)

    Shue, Craig A; Lagesse, Brent J

    2011-01-01

    The future of cyber security is inextricably tied to the future of computing. Organizational needs and economic factors will drive computing outcomes. Cyber security researchers and practitioners must recognize the path of computing evolution and position themselves to influence the process to incorporate security as an inherent property. The best way to predict future computing trends is to look at recent developments and their motivations. Organizations are moving towards outsourcing their data storage, computation, and even user desktop environments. This trend toward cloud computing has a direct impact on cyber security: rather than securing user machines, preventing malware access, and managing removable media, a cloud-based security scheme must focus on enabling secure communication with remote systems. This change in approach will have profound implications for cyber security research efforts. In this work, we highlight existing and emerging technologies and the limitations of cloud computing systems. We then discuss the cyber security efforts that would support these applications. Finally, we discuss the implications of these computing architecture changes, in particular with respect to malware and social engineering.

  5. Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions

    SciTech Connect (OSTI)

    McFarquhar, Greg

    2015-12-28

    We proposed to analyze in-situ cloud data collected during ARM/ASR field campaigns to create databases of cloud microphysical properties and their uncertainties as needed for the development of improved cloud parameterizations for models and remote sensing retrievals, and for evaluation of model simulations and retrievals. In particular, we proposed to analyze data collected over the Southern Great Plains (SGP) during the Mid-latitude Continental Convective Clouds Experiment (MC3E), the Storm Peak Laboratory Cloud Property Validation Experiment (STORMVEX), the Small Particles in Cirrus (SPARTICUS) Experiment and the Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) field campaign, over the North Slope of Alaska during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) and the Mixed-Phase Arctic Cloud Experiment (M-PACE), and over the Tropical Western Pacific (TWP) during The Tropical Warm Pool International Cloud Experiment (TWP-ICE), to meet the following 3 objectives; derive statistical databases of single ice particle properties (aspect ratio AR, dominant habit, mass, projected area) and distributions of ice crystals (size distributions SDs, mass-dimension m-D, area-dimension A-D relations, mass-weighted fall speeds, single-scattering properties, total concentrations N, ice mass contents IWC), complete with uncertainty estimates; assess processes by which aerosols modulate cloud properties in arctic stratus and mid-latitude cumuli, and quantify aerosol’s influence in context of varying meteorological and surface conditions; and determine how ice cloud microphysical, single-scattering and fall-out properties and contributions of small ice crystals to such properties vary according to location, environment, surface, meteorological and aerosol conditions, and develop parameterizations of such effects.In this report we describe the accomplishments that we made on all 3 research objectives.

  6. Research Highlight

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

    Using ARM Cloud Data to Evaluate the Effect of a Land Surface on Clouds Download a printable PDF Submitter: GSFC, N., NASA GSFC Area of Research: Cloud Distributions/Characterizations Working Group(s): Aerosol, Cloud Modeling Journal Reference: Zeng, X., W.-K. Tao, M. Zhang, C. Peters-Lidard, S. Lang, J. Simpson, S. Kumar, S. Xie, J. L. Eastman, C.-L. Shie, and J. V. Geiger, 2007: Evaluating clouds in long-term cloud-resolving model simulations with observational data. J. Atmos. Sci. (in press).

  7. 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: Observations from Nauru Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES 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.

  8. Research Highlight

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

    Estimating Fractional Sky Cover from Spectral Measurements Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES 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

  9. Research Highlight

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

    Impact of Horizontal Resolution on Climate Model Simulations of Tropical Moist Processes Download a printable PDF Submitter: Boyle, J., Lawrence Livermore National Laboratory Klein, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Boyle JS and SA Klein. 2010. "Impact of horizontal resolution on climate model forecasts of tropical precipitation and diabatic heating

  10. Research Highlight

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

    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,

  11. Research Highlight

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

    Metrics and Diagnostics for Climate Model Short-Range Hindcasts Download a printable PDF Submitter: Ma, H., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Ma H, S Xie, JS Boyle, SA Klein, and Y Zhang. 2012. "Metrics and diagnostics for precipitation-related processes in climate model short-range hindcasts." Journal of Climate, , . ACCEPTED. Pattern statistics

  12. Research Highlight

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

    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:

  13. 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 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

  14. Research Highlight

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

    Which Absorption Model Should Be Used for Supercooled Liquid Water in the Microwave? Download a printable PDF Submitter: Kneifel, S., McGill University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Kneifel S, S Redl, E Orlandi, U Löhnert, MP Cadeddu, DD Turner, and M Chen. 2014. "Absorption properties of supercooled liquid water between 31 and 225 GHz: evaluation of absorption models using ground-based observations." Journal of Applied

  15. Research Highlight

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

    Modeling Dust as Component Minerals in the Community Atmosphere Model Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Scanza R, N Mahowald, S Ghan, CS Zender, JF Kok, Y Zhang, and S Albani. 2015. "Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing."

  16. Research Highlight

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

    Three-Dimensional Constrained Variational Analysis: Approach and Application Download a printable PDF Submitter: Zhang, M., Stony Brook University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Tang S and M Zhang. 2015. "Three-dimensional constrained variational analysis: Approach and application to analysis of atmospheric diabatic heating and derivative fields during an ARM SGP intensive observational period." Journal of Geophysical

  17. Research Highlight

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

    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

  18. Research Highlight

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

    Spectroscopic Foundation of Radiative Forcing of Climate by Carbon Dioxide PI Contact: Torn, M. S., Lawrence Berkeley National Laboratory Feldman, D., Lawrence Berkeley National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Mlynczak MG, T Daniels, D Kratz, DR Feldman, WD Collins, EJ Mlawer, M Alvarado, J Lawler, LW Anderson, D Fahey, L Hunt, and J Mast. 2016. "The Spectroscopic Foundation of Radiative Forcing

  19. "Big Picture" Process Modeling Tools |GE Global Research

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

    Using process modeling tools to attain cost-effective results for GE customers Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click ...

  20. Towards Composing Data Aware Systems Biology Workflows on Cloud Platforms: A MeDICi-based Approach

    SciTech Connect (OSTI)

    Gorton, Ian; Liu, Yan; Yin, Jian; Kulkarni, Anand V.; Wynne, Adam S.

    2011-09-08

    Cloud computing is being increasingly adopted for deploying systems biology scientific workflows. Scientists developing these workflows use a wide variety of fragmented and competing data sets and computational tools of all scales to support their research. To this end, the synergy of client side workflow tools with cloud platforms is a promising approach to share and reuse data and workflows. In such systems, the location of data and computation is essential consideration in terms of quality of service for composing a scientific workflow across remote cloud platforms. In this paper, we describe a cloud-based workflow for genome annotation processing that is underpinned by MeDICi - a middleware designed for data intensive scientific applications. The workflow implementation incorporates an execution layer for exploiting data locality that routes the workflow requests to the processing steps that are colocated with the data. We demonstrate our approach by composing two workflowswith the MeDICi pipelines.

  1. Dispelling Clouds of Uncertainty

    SciTech Connect (OSTI)

    Lewis, Ernie; Teixeira, João

    2015-06-15

    How do you build a climate model that accounts for cloud physics and the transitions between cloud regimes? Use MAGIC.

  2. ARM - Measurement - Cloud location

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

    point in space and time, typically expressed as a binary cloud mask. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  3. A Lidar View of Clouds in Southeastern China

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

    Lidar View of Clouds in Southeastern China For original submission and image(s), see ARM Research Highlights http:www.arm.govsciencehighlights Research Highlight From May 2008...

  4. Liquid Water the Key to Arctic Cloud Radiative Closure

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

    Water the Key to Arctic Cloud Radiative Closure For original submission and image(s), see ARM Research Highlights http:www.arm.govsciencehighlights Research Highlight...

  5. 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 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

  6. Storm Peak Lab Cloud Property Validation

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

    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

  7. Research Highlight

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

    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,

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

    SciTech Connect (OSTI)

    Krueger, Steven K.

    2008-03-03

    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.

  9. 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.

  10. Research Highlight

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

    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

  11. 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 Submitter: Dong, X., University of Arizona 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

  12. Research Highlight

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

    Use of ARM Products in Reanalysis Applications and IPCC Model Assessment Download a printable PDF Submitter: Walsh, J. E., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Walsh, J. E., W. L. Chapman, and D. H. Portis: Arctic clouds and radiative fluxes in large-scale atmospheric reanalysis. Submitted to the Journal of Climate. Figure 1. Monthly mean cloud fraction is shown here from ARM-observations

  13. Research Highlight

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

    Mixed-Phase Cloud Vertical Velocities and Dynamical-Microphysical Interactions 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, P Kollias, M Poellot, and E Eloranta. 2008. "On deriving vertical air motions from cloud radar Doppler spectra." Journal of Atmospheric and Oceanic Technology 25: 547-557. Shupe, MD, P Kollias, POG Persson, and GM

  14. 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 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-ba sed observational methods." Bulletin of the American Meteorological Society,

  15. Research Highlight

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

    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."

  16. Research Highlight

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

    General Macrophysical and Microphysical Properties of Deep Convective Clouds as Observed by MODIS Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A Distributions of cloud optical depth from Aqua in four regions. The mean and standard deviation of the distributions are given for each region indicated by latitude and longitude range in each panel. The means and

  17. Research Highlight

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

    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.

  18. Research Highlight

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

    Evaluation of CRM Intercomparison Simulations Using TWP-ICE Observations, Part 1 Download a printable PDF Submitter: Varble, A., University of Utah Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Varble AC, AM Fridlind, EJ Zipser, AS Ackerman, J Chaboureau, J Fan, A Hill, SA McFarlane, J Pinty, and B Shipway. 2011. "Evaluation of cloud-resolving model intercomparison simulations using TWP-ICE observations: Precipitation and cloud

  19. Research Highlight

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

    Snow Particle Observations in Arctic Clouds Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, P Zuidema, GM McFarquhar, A Bansemer, and AJ Heymsfield. 2011. "Microphysical observations in shallow mixed-phase and deep frontal Arctic cloud systems." Quarterly Journal Royal Meteorological Society, 137(659), doi:10.1002/qj.840. Fitted size distribution intercept

  20. 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 Deep Convection Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Dong, X., University of Arizona 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

  1. Research Highlight

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

    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),

  2. Research Highlight

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

    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

  3. Research Highlight

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

    The Impact of Instrument Selection and Sampling on Cloud Fraction at the ARM Southern Great Plains Site Download a printable PDF Submitter: Kennedy, A. D., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Kennedy AD, X Dong, and B Xi. 2013. "Cloud Fraction at the ARM SGP Site: Instrument and sampling considerations from 14 years of ARSCL." Theoretical and Applied Climatology (Springer), 115(1-2),

  4. Research Highlight

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

    Improving Estimates of Cloud Condensation Nuclei Concentration 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: Liu J and Z Li. 2014. "Estimation of cloud condensation nuclei concentration from aerosol optical quantities: influential factors and uncertainties." Atmospheric Chemistry and Physics, 14(1), doi:10.5194/acp-14-1-2014.

  5. Research Highlight

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

    Multi-scale Variations of Decade-long Cloud Fractions from Six Different Platforms over the SGP Download a printable PDF Submitter: Wu, W., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Wu W, Y Liu, MP Jensen, T Toto, MJ Foster, and CN Long. 2014. "A comparison of multiscale variations of decade-long cloud fractions from six different platforms over the Southern Great Plains in the United

  6. Research Highlight

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

    Satellite Inference of Thermals and Cloud Base Updraft Speeds Download a printable PDF Submitter: Zheng, Y., University of Maryland Area of Research: Vertical Velocity Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Zheng Y, D Rosenfeld, and Z Li. 2015. "Satellite inference of thermals and cloud base updraft speeds based on retrieved surface and cloud base temperatures." Journal of the Atmospheric Sciences, , . ONLINE. Validation of satellite-estimated

  7. Research Highlight

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

    A Lidar View of Clouds in Southeastern China Download a printable PDF Submitter: Li, Z., University of Maryland Cribb, M. C., University of Maryland Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Liu J, Z Li, Y Zheng, and M Cribb. 2015. "Cloud-Base Distribution and Cirrus Properties Based on Micropulse Lidar Measurements at a Site in Southeastern China." Advances in Atmospheric Sciences, 32(7),

  8. Research Highlight

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

    Liquid Water the Key to Arctic Cloud Radiative Closure 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, DD Turner, A Zwink, MM Thieman, EJ Mlawer, and T Shippert. 2015. "Deriving Arctic cloud microphysics at Barrow, Alaska: Algorithms, results, and radiative closure." Journal of Applied Meteorology and Climatology, 54(7),

  9. Research Highlight

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

    A Deeper Look Into Shallow Boundary Layer Clouds Submitter: Bretherton, C. S., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Bretherton, C. S., J. R. McCaa, and H. Grenier. A New Parameterization for Shallow Cumulus Convection and Its Application to Marine Subtropical Cloud-Topped Boundary Layers. Part I: Description and 1D Results, Monthly Weather Review, 132(1), 864-882, 2004, doi:

  10. 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 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

  11. Research Highlight

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

    On Thin Ice: Retrieval Algorithms for Ice Clouds Examined for Improvements Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: An Intercomparison of Microphysical Retrieval Algorithms for Upper Tropospheric Ice Clouds. Jennifer M. Comstock, Robert d'Entremont, Daniel DeSlover, Gerald G. Mace, Sergey Y. Matrosov, Sally A. McFarlane, Patrick Minnis, David Mitchell,Kenneth

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

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

    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

  13. Research Challenge 3: Competing Radiative and Nonradiative Processes

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

    3: Competing Radiative and Nonradiative Processes - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste

  14. Research Highlight

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

    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

  15. A boundary-layer cloud study using Southern Great Plains Cloud and radiation testbed (CART) data

    SciTech Connect (OSTI)

    Albrecht, B.; Mace, G.; Dong, X.; Syrett, W.

    1996-04-01

    Boundary layer clouds-stratus and fairweather cumulus - are closely coupled involves the radiative impact of the clouds on the surface energy budget and the strong dependence of cloud formation and maintenance on the turbulent fluxes of heat and moisture in the boundary layer. The continuous data collection at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site provides a unique opportunity to study components of the coupling processes associated with boundary layer clouds and to provide descriptions of cloud and boundary layer structure that can be used to test parameterizations used in climate models. But before the CART data can be used for process studies and parameterization testing, it is necessary to evaluate and validate data and to develop techniques for effectively combining the data to provide meaningful descriptions of cloud and boundary layer characteristics. In this study we use measurements made during an intensive observing period we consider a case where low-level stratus were observed at the site for about 18 hours. This case is being used to examine the temporal evolution of cloud base, cloud top, cloud liquid water content, surface radiative fluxes, and boundary layer structure. A method for inferring cloud microphysics from these parameters is currently being evaluated.

  16. Science Cloud 2011

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

    Science Cloud 2011 Science Cloud 2011 June 17, 2011 The Magellan teams at NERSC and Argonne recently presented a joint paper detailing their progress and conclusions. At Science Cloud 2011: The Second Workshop on Scientific Cloud Computing, in a paper titled "Magellan: Experiences from a Science Cloud" (PDF, 320KB), lead author Lavanya Ramakrishnan outlined the groups' most recent achievements and conclusions, including a successful run of real-time data analysis for the STAR

  17. Research Highlight

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

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

  18. Research Highlight

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

    Submitter: Westwater, E. R., University of Colorado Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference:...

  19. Research Highlight

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

    PDF Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Aerosol Life Cycle,...

  20. Research Highlight

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

    Fog and Rain in the Amazon Download a printable PDF Submitter: Gentine, P., Columbia University Sobel, A., Columbia University Area of Research: Cloud-Aerosol-Precipitation...

  1. Research Highlight

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

    Influence of Dust Composition on Cloud Droplet Formation Download a printable PDF Submitter: Chuang, C., Lawrence Livermore National Laboratory Area of Research: Aerosol Properties...

  2. Research Highlight

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

    The Long-Term Impacts of Aerosols on the Vertical Development of Clouds and Precipitation Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research:...

  3. Research Highlight

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

    over the MJO Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: Cloud DistributionsCharacterizations...

  4. Research Highlight

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

    in the Doppler spectra. Over the North Slope of Alaska, researchers used cloud radar Doppler velocity spectra, lidar backscattering coefficients and depolarization ratios, and...

  5. Research Highlight

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

    Northwest National Laboratory, researchers found that a significant increase in the amount of light scattered by the clouds was caused by the amount of pollution in the air. ...

  6. Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) Final Campaign Report

    SciTech Connect (OSTI)

    Wood, R.

    2016-01-01

    The extensive coverage of low clouds over the subtropical eastern oceans greatly impacts the current climate. In addition, the response of low clouds to changes in atmospheric greenhouse gases and aerosols is a major source of uncertainty, which thwarts accurate prediction of future climate change. Low clouds are poorly simulated in climate models, partly due to inadequate long-term simultaneous observations of their macrophysical and microphysical structure, radiative effects, and associated aerosol distribution in regions where their impact is greatest. The thickness and extent of subtropical low clouds is dependent on tight couplings between surface fluxes of heat and moisture, radiative cooling, boundary layer turbulence, and precipitation (much of which evaporates before reaching the ocean surface and is closely connected to the abundance of cloud condensation nuclei). These couplings have been documented as a result of past field programs and model studies. However, extensive research is still required to achieve a quantitative understanding sufficient for developing parameterizations, which adequately predict aerosol indirect effects and low cloud response to climate perturbations. This is especially true of the interactions between clouds, aerosol, and precipitation. These processes take place in an ever-changing synoptic environment that can confound interpretation of short time period observations.

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

    SciTech Connect (OSTI)

    Evan Harpenau

    2011-03-15

    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.

  8. Unlocking the Secrets of Clouds

    Broader source: Energy.gov [DOE]

    Clouds may look soft, fluffy and harmless to the untrained eye, but to an expert climate model scientist they represent great challenges. Fortunately the Atmospheric Radiation Measurement (ARM) Climate and Research Facility is kicking off a five-month study which should significantly clear the air.

  9. Signal and Image Processing Research at the Lawrence Livermore National Laboratory

    SciTech Connect (OSTI)

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

    2009-06-29

    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.

  10. Cloud Properties Working Group Low Clouds Update

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

    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)

  11. Prediction of cloud droplet number in a general circulation model

    SciTech Connect (OSTI)

    Ghan, S.J.; Leung, L.R.

    1996-04-01

    We have applied the Colorado State University Regional Atmospheric Modeling System (RAMS) bulk cloud microphysics parameterization to the treatment of stratiform clouds in the National Center for Atmospheric Research Community Climate Model (CCM2). The RAMS predicts mass concentrations of cloud water, cloud ice, rain and snow, and number concnetration of ice. We have introduced the droplet number conservation equation to predict droplet number and it`s dependence on aerosols.

  12. Direct Numerical Simulations and Robust Predictions of Cloud Cavitation

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

    Collapse | Argonne Leadership Computing Facility Initiation of cloud cavitation collapse for 50,000 bubbles Initiation of cloud cavitation collapse for 50,000 bubbles. Jonas Sukys, ETH Zurich Direct Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse PI Name: Petros Koumoutsakos PI Email: petros@ethz.ch Institution: ETH Zurich Allocation Program: INCITE Allocation Hours at ALCF: 72 Million Year: 2016 Research Domain: Engineering Cloud cavitation collapse-the evolution

  13. Research Highlight

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

    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

  14. Basic research in engineering: process and systems dynamics and control. High priority research needs relevent to energy

    SciTech Connect (OSTI)

    Rabins, M.J.; Edgar, T.F.; Richardson, H.H.; Zaborszky, J.

    1980-02-01

    At a workshop held in Denver, Colorado, on June 20 to 23, 1979, Process and Systems Dynamics and Control (PSDC) is concerned with the development and control of system behavior, performance criteria, and theories of control and optimization. This report presents a set of high-priority basic engineering research needs in the PSDC field which are important to the development of future energy technologies. The ten high priority generic research areas were aggregeted into four major research needs recommended for DOE support: on-line optimization and control, systems methodology, measurement methodology and instrumentation, and modeling.

  15. Research Highlight

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

    Encountering a Longstanding Cloud Physics Question in the Arctic: How Is Ice Formed in Moderately Supercooled Clouds? Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Fridlind, A.M., A.S. Ackerman, G.M. McFarquhar, G. Zhang, M.R. Poellot, P.J. DeMott, A.J. Prenni and A.J. Heymsfield, 2007: Ice properties of single-layer stratocumulus during the

  16. Research Highlight

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

    Aerosol-mediated Changes in Deep Convective Cloud Radiative Forcing over the SGP Download a printable PDF Submitter: Cribb, M. C., University of Maryland Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Yan H, Z Li, J Huang, M Cribb, and J Liu. 2014. "Long-term aerosol-mediated changes in cloud radiative forcing of deep clouds at the top and bottom of the atmosphere over the Southern Great Plains."

  17. Research Highlight

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

    The Shapes and Phases of Small Particles in Mixed-Phase Clouds Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: McFarquhar GM, J Um, and R Jackson. 2013. "Small cloud particle shapes in mixed-phase clouds." Journal of Applied Meteorology and Climatology, 52(5), doi:10.1175/JAMC-D-12-0114.1. Figure 1. Magnified images of four particles imaged

  18. Research Highlight

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

    Time Scales of Variability of Marine Low Clouds PI Contact: de Szoeke, S. P., Oregon State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: de Szoeke SP, KL Verlinden, SE Yuter, and DB Mechem. 2016. "The Time Scales of Variability of Marine Low Clouds." Journal of Climate, 29, doi:10.1175/JCLI-D-15-0460.1. ISCCP low cloud (top pressure > 560 hPa) amount explained by 1 standard deviation of inversion strength for

  19. Icy Cirrus Clouds to Be Studied This Spring

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

    4 Icy Cirrus Clouds to Be Studied This Spring Mid-latitude cirrus clouds, which are composed solely of ice crystals, will be the focus of an intensive operational period (IOP) in April and May 2004 at the ARM Climate Research Facility (ACRF) SGP site. Researchers will be probing the clouds with aircraft-based instruments to gather detailed information about the clouds' physical characteristics. To make measurements in cirrus clouds, which generally form in the atmosphere at and above 20,000 feet

  20. Research Highlight

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

    ... secondary factor. Scanning dual-polarization radar observations are capable of detecting these processes, potentially allowing for real-time detection of in-cloud icing conditions

  1. ARM Data for Cloud Parameterization

    SciTech Connect (OSTI)

    Xu, Kuan-Man

    2006-10-02

    The PI's ARM investigation (DE-IA02-02ER633 18) developed a physically-based subgrid-scale saturation representation that fully considers the direct interactions of the parameterized subgrid-scale motions with subgrid-scale cloud microphysical and radiative processes. Major accomplishments under the support of that interagency agreement are summarized in this paper.

  2. Research Highlight

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

    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

  3. Research Highlight

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

    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,

  4. Research Highlight

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

    Pollution + Storm Clouds = Warmer Atmosphere Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Fan J, D Rosenfeld, Y Ding, L Leung, and Z Li. 2012. "Potential aerosol indirect effects on atmospheric circulation and radiative forcing through deep convection." Geophysical Research Letters, 39, L09806,

  5. Research Highlight

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

    Ice Particle Projected Area- and Mass-Dimension Expressions for Cirrus Clouds Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Erfani E and DL Mitchell. 2015. "Developing and bounding ice particle mass- and area-dimension expressions for use in atmospheric models and remote sensing." Atmospheric Chemistry and Physics, 15(20),

  6. Research Highlight

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

    Scale-Aware Parameterization of Liquid Cloud Inhomogeneity and Its Impact on Simulated Climate Download a printable PDF Submitter: Zhang, M., Stony Brook University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Xie X and M Zhang. 2015. "Scale-aware parameterization of liquid cloud inhomogeneity and its impact on simulated climate in CESM." Journal of Geophysical Research - Atmospheres, 120(16),

  7. Research Highlight

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

    Bell-Shaped Curve Captures Cloud System Variability Submitter: Lamb, P. J., University of Oklahoma Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Journal of Geophysical Research, 110, D18205, doi:10.1029/2005JD006158. Figure 1. Reflectivity standard deviation PDFs, resampled as a function of timescale and contoured by equal values of probability, show an increase in variability with scale. The PDF modes lie mostly along the mean

  8. Cloud-Resolving Model Simulation and Mosaic Treatment of Subgrid Cloud-Radiation Interaction

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

    of Energy Cloud-Based Transportation Management System Delivers Savings Cloud-Based Transportation Management System Delivers Savings October 21, 2014 - 1:53pm Addthis DOE's cloud based transportation management system (ATLAS) offers dramatically enhanced capabilities and modernization. ATLAS provides a powerful user-friendly system built to allow access to information to meet transportation needs. Its processes promote regulatory compliance, while providing access to qualified carriers and

  9. EM Begins Demolition of Building G2 at Separations Process Research Unit |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Begins Demolition of Building G2 at Separations Process Research Unit EM Begins Demolition of Building G2 at Separations Process Research Unit July 18, 2016 - 12:00pm Addthis NISKAYUNA, N.Y. - EM's cleanup contractor at the Separations Process Research Unit (SPRU) nuclear facility completed preparations allowing for the open-air demolition of Building G2, which has begun. G2 is one of two SPRU buildings that supported improvements in the chemical separation of plutonium

  10. 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)

    Smith, V.E.

    1994-05-01

    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.

  11. Scientific Cloud Computing Misconceptions

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

    Scientific Cloud Computing Misconceptions Scientific Cloud Computing Misconceptions July 1, 2011 Part of the Magellan project was to understand both the possibilities and the limitations of cloud computing in the pursuit of science. At a recent conference, Magellan investigator Shane Canon outlined some persistent misconceptions about doing science in the cloud - and what Magellan has taught us about them. » Read the ISGTW story. » Download the slides (PDF, 4.1MB

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

    SciTech Connect (OSTI)

    Minnis, Patrick

    2013-06-28

    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.

  13. The Tropical Warm Pool International Cloud Experiment: Overview

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

    The Tropical Warm Pool International Cloud Experiment: Overview May, Peter Bureau or Meteorology Research Centre Mather, James Pacific Northwest National Laboratory Jakob,...

  14. BAECC Biogenic Aerosols - Effects on Clouds and Climate (Technical...

    Office of Scientific and Technical Information (OSTI)

    The main research goal was to understand the role of biogenic aerosols in cloud formation. ... Country of Publication: United States Language: English Subject: 54 ENVIRONMENTAL SCIENCES ...

  15. Understanding the Effect of Aerosol Properties on Cloud Droplet...

    Office of Scientific and Technical Information (OSTI)

    5-055 ENERGY Science Understanding the Effect of Aerosol Properties on Cloud Droplet Formation during TCAP Field Campaign Report D Cziczo May 2016 ARM CLIMATE RESEARCH FACILITY ...

  16. Intersecting Cold Pools: Convective Cloud Organization by Cold...

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

    Intersecting Cold Pools: Convective Cloud Organization by Cold Pools over Tropical Ocean For original submission and image(s), see ARM Research Highlights http:www.arm.gov...

  17. Stereo Photogrammetry Reveals Substantial Drag on Cloud Thermals

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

    sciencehighlights Research Highlight Fast updrafts within clouds can generate hail, lightning, and tornadoes at the surface, as well as clear-air turbulence that pose...

  18. Evaluating Membrane Processes for Air Conditioning; Highlights in Research and Development, NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    2015-06-01

    This NREL Highlight discusses a recent state-of-the-art review of membrane processes for air conditioning that identifies future research opportunities. This highlight is being developed for the June 2015 S&T Alliance Board meeting.

  19. Indirect and Semi-Direct Aerosol Campaign: The Impact of Arctic Aerosols on Clouds

    SciTech Connect (OSTI)

    McFarquhar, Greg; Ghan, Steven J.; Verlinde, J.; Korolev, Alexei; Strapp, J. Walter; Schmid, Beat; Tomlinson, Jason M.; Wolde, Mengistu; Brooks, Sarah D.; Cziczo, Daniel J.; Dubey, Manvendra K.; Fan, Jiwen; Flynn, Connor J.; Gultepe, Ismail; Hubbe, John M.; Gilles, Mary K.; Laskin, Alexander; Lawson, Paul; Leaitch, W. R.; Liu, Peter S.; Liu, Xiaohong; Lubin, Dan; Mazzoleni, Claudio; Macdonald, A. M.; Moffet, Ryan C.; Morrison, H.; Ovchinnikov, Mikhail; Shupe, Matthew D.; Turner, David D.; Xie, Shaocheng; Zelenyuk, Alla; Bae, Kenny; Freer, Matthew; Glen, Andrew

    2011-02-01

    A comprehensive dataset of microphysical and radiative properties of aerosols and clouds in the arctic boundary layer in the vicinity of Barrow, Alaska was collected in April 2008 during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) sponsored by the Department of Energy Atmospheric Radiation Measurement (ARM) and Atmospheric Science Programs. The primary aim of ISDAC was to examine indirect effects of aerosols on clouds that contain both liquid and ice water. The experiment utilized the ARM permanent observational facilities at the North Slope of Alaska (NSA) in Barrow. These include a cloud radar, a polarized micropulse lidar, and an atmospheric emitted radiance interferometer as well as instruments specially deployed for ISDAC measuring aerosol, ice fog, precipitation and spectral shortwave radiation. The National Research Council of Canada Convair-580 flew 27 sorties during ISDAC, collecting data using an unprecedented 42 cloud and aerosol instruments for more than 100 hours on 12 different days. Data were obtained above, below and within single-layer stratus on 8 April and 26 April 2008. These data enable a process-oriented understanding of how aerosols affect the microphysical and radiative properties of arctic clouds influenced by different surface conditions. Observations acquired on a heavily polluted day, 19 April 2008, are enhancing this understanding. Data acquired in cirrus on transit flights between Fairbanks and Barrow are improving our understanding of the performance of cloud probes in ice. Ultimately the ISDAC data will be used to improve the representation of cloud and aerosol processes in models covering a variety of spatial and temporal scales, and to determine the extent to which long-term surface-based measurements can provide retrievals of aerosols, clouds, precipitation and radiative heating in the Arctic.

  20. Research Highlight

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

    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,

  1. ARM - PI Product - Cloud Property Retrieval Products for Graciosa Island,

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

    Azores ProductsCloud Property Retrieval Products for Graciosa Island, Azores 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 PI Product : Cloud Property Retrieval Products for Graciosa Island, Azores [ research data - ASR funded ] The motivation for developing this product was to use the Dong et al. 1998 method to retrieve cloud microphysical properties, such as cloud droplet effective radius, cloud droplets

  2. ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) Field Campaign...

    Office of Scientific and Technical Information (OSTI)

    2015, a multi-agency field campaign that aims to improve understanding of atmospheric rivers and aerosol sources and transport that influence cloud and precipitation processes. ...

  3. Posters Diagnostic Analysis of Cloud Radiative Properties R.C...

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

    are extremely sensitive to parameterizations of certain poorly understood physical processes, most notably cloud-radiation interactions. As a result, models with different...

  4. Research Highlight

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

    Importance of Small Ice Crystals to Cirrus Properties: Observations from TWP-ICE Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: McFarquhar, G.M., J. Um, M. Freer, D. Baumgardner, G.L. Kok and G. Mace, 2007: Importance of small ice crystals to cirrus properties: Observations from the Tropical Warm Pool International Cloud Experiment (TWP-ICE). Geophys.

  5. Research Highlight

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

    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

  6. Research Highlight

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    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

  7. Research Highlight

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

    Using Doppler Radar to Characterize Cloud Parameters Download a printable PDF Submitter: Kogan, Y., University of Oklahoma - CIMMS Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Kogan, Y.L., Z. N. Kogan, and D. B. Mechem, 2007: Assessing the errors of microphysical retrievals in Marine Stratocumulus based on Doppler radar parameters, J. Hydrometeorol., GEWEX special issue, 8, 665-677. Figure 1. The errors of drizzle flux R retrieval

  8. Research Highlight

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

    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

  9. 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 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

  10. Research Highlight

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

    A Simple Algorithm to Find Cloud Optical Depth Applied to Thin Ice Clouds Download a printable PDF Submitter: Barnard, J., University of Nevada Reno Long, C. N., NOAA Global Monitoring Division/CIRES Kassianov, E., Pacific Northwest National Laboratory McFarlane, S. A., U.S. Department of Energy Comstock, J. M., Pacific Northwest National Laboratory Freer, M., University of Illinois, Urbana McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations

  11. 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 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

  12. Research Highlight

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

    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

  13. Research Highlight

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

    Improving the Numerical Simulation of Squall Lines Download a printable PDF Submitter: Morrison, H. C., NCAR Thompson, G., NCAR Tatarskii, V., Georgia Institute of Technology Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Morrison HC, G Thompson, and V Tatarskii. 2009. "Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one- and two-moment schemes."

  14. Research Highlight

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

    Comparison of Arctic Clouds Between ECMWF Simulations and ARM Observations at the NSA Download a printable PDF Submitter: Zhao, M., National Oceanic and Atmospheric Administration Wang, Z., University of Wyoming Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A Figure 1: Monthly-averaged vertical distribution of cloud fraction from the observation (a) and the ECMWF model (b), and their differences (c). Both

  15. Research Highlight

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

    Dependence of the Single-Scattering Properties of Small Ice Crystals on Idealized Shape Models 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): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Um J and GM McFarquhar. 2011. "Dependence of the single-scattering properties of small ice crystals on idealized shape

  16. 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 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

  17. Research Highlight

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

    Factors Influencing the Microphysics and Radiative Properties of Liquid-Dominated Arctic Clouds Download a printable PDF Submitter: Earle, M., Environment Canada Liu, P., Environment Canada Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Earle ME, PS Liu, JW Strapp, A Zelenyuk, D Imre, GM McFarquhar, NC Shantz, and WR Leaitch. 2011. "Factors influencing the microphysics and radiative properties of

  18. 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 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

  19. Research Highlight

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

    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

  20. Research Highlight

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

    Evaluation of Simulated Clouds and Radiation at the ARM Site Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Ghan, S.J. and Leung, L.R., 1999: "A Comparison of Three Different Modeling Strategies for Evaluating Cloud and Radiation Parameterizations," Monthly Weather Review 127( 9): 1967-1984. Observed and Simulated Column Water Vapor Column

  1. Research Highlight

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

    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

  2. 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 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

  3. Research Highlight

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

    Observations Guide Low-Cloud Parameterization Development in the ECMWF Model Download a printable PDF Submitter: Ahlgrimm, M., European Centre for Medium-Range Weather Forecasts Forbes, R. 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. 2012. "The impact of low clouds on surface shortwave radiation in the ECMWF model."

  4. Research Highlight

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

    Modeling Aerosols in Fair-Weather Clouds During CHAPS Download a printable PDF Submitter: Shrivastava, M., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Shrivastava M, LK Berg, J Fast, R Easter, A Laskin, WI Gustafson, Y Liu, and CM Berkowitz. 2013. "Modeling aerosols and their interactions with shallow cumuli during the 2007 CHAPS field study." Journal of

  5. Research Highlight

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

    Tropical Ice Cloud Simulations Using Scripps Single Column Model (SCM) Reveal Range of Model Uncertainties Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: McFarquhar, G.M., S. Iacobellis, R.C.J. Somerville. SCM Simualtions of Tropical Ice Clouds Using Observationally Based Parameterizations of Microphysics, Journal of Climate: Vol 15, No. 11, pp.

  6. Research Highlight

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

    Linking Ice Nucleation to Aerosols and Its Impact on CAM5 Simulated Arctic Clouds and Radiation 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 Life Cycle Journal Reference: Xie S, X Liu, C Zhao, and Y Zhang. 2013. "Sensitivity of CAM5 simulated arctic clouds and radiation to ice nucleation parameterization." Journal of Climate, 26(16),

  7. Research Highlight

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

    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

  8. Research Highlight

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

    Initial Aerosol Concentration Is 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: Penner, J., Dong, X., Chen. Y., Observational evidence of a change in radiative forcing due to the indirect aerosol effect, Nature, Vol. 427, 15 January 2004. Cloud optical depth, as determined from the parcel model, is indicated by the dots. Red lines show best fit data of cloud liquid

  9. Research Highlight

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

    Evaluation of Gridded SACR Reflectivity Observations and Vertical Doppler Velocity Retrievals Download a printable PDF Submitter: Lamer, K., Pennsylvania State University Kollias, P., Stony Brook University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Lamer K, A Taterevic, I Jo, and P Kollias. 2013. "Evaluation of gridded Scanning ARM Cloud Radar reflectivity observations and vertical Doppler velocity retrievals."

  10. Research Highlight

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

    Filling Gaps Within Instrument Records Submitter: Kennedy, A. D., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Kennedy AD, X Dong, and B Xi. 2015. "Cloud fraction at the ARM SGP site: reducing uncertainty with self-organizing maps." Theoretical and Applied Climatology, , . ONLINE. Example of a large, 40x30 (1200 class) SOM generated from 14 years of synoptic states provided by the North American

  11. Research Highlight

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

    Regime Analysis to Identify the Contribution of Clouds to Surface Temperature Errors in GCMs Submitter: Van Weverberg, K., Met Office Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Van Weverberg K, CJ Morcrette, H Ma, SA Klein, and JC Petch. 2015. "Using regime analysis to identify the contribution of clouds to surface temperature errors in weather and climate models." Quarterly Journal Royal

  12. Research Highlight

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

    Sticky Thermals: Evidence for a Dominant Balance Between Buoyancy and Drag in Cloud Updrafts Download a printable PDF Submitter: Romps, D., Lawrence Berkeley National Laboratory Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Romps DM and AB Charn. 2015. "Sticky thermals: Evidence for a dominant balance between buoyancy and drag in cloud updrafts." Journal of the Atmospheric Sciences, , doi:10.1175/JAS-D-15-0042.1. ONLINE. Hill's vortex (shown

  13. 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 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

  14. Research Highlight

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

    Microphysical Piggybacking: Understanding the Coupling Between Cloud Dynamics and Microphysics PI Contact: Grabowski, W., NCAR Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Grabowski WW. 2014. "Extracting microphysical impacts in large-eddy simulations of shallow convection." Journal of the Atmospheric Sciences, 71(12), 10.1175/JAS-D-14-0231.1. Grabowski WW. 2015. "Untangling microphysical

  15. Research Highlight

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

    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

  16. Research Highlight

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

    Regime Dependence of Cloud Water Variability Observed at the ARM Sites PI Contact: 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 RM Forbes. 2016. "Regime dependence of cloud condensate variability observed at the Atmospheric Radiation Measurement sites." Quarterly Journal Royal Meteorological Society, ,

  17. Research Highlight

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

    On the Impacts of Different Definitions of Maximum Dimension for Nonspherical Cloud Particles PI Contact: Wu, W., University of Illinois at Urbana-Champaign McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: McFarquhar GM and W Wu. 2016. "On the impacts of different definitions of maximum dimension for nonspherical particles recorded by 2D imaging probes." Journal of Atmospheric

  18. Research Highlight

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

    Observing the Amazon: the Role of Time and Place in Cloud Measurements PI Contact: Burleyson, C. D., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Burleyson CD, Z Feng, SM Hagos, J Fast, LA Machado, and ST Martin. 2016. "Spatial Variability of the Background Diurnal Cycle of Deep Convection around the GoAmazon2014/5 Field Campaign Sites." Journal of Applied Meteorology and Climatology,

  19. Indirect and semi-direct aerosol campaign: The impact of Arctic aerosols on clouds

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    McFarquhar, Greg M.; Ghan, Steven; Verlinde, Johannes; Korolev, Alexei; Strapp, J. Walter; Schmid, Beat; Tomlinson, Jason M.; Wolde, Menqistu; Brooks, Sarah D.; Cziczo, Dan; et al

    2011-02-01

    A comprehensive dataset of microphysical and radiative properties of aerosols and clouds in the boundary layer in the vicinity of Barrow, Alaska, was collected in April 2008 during the Indirect and Semi-Direct Aerosol Campaign (ISDAC). ISDAC's primary aim was to examine the effects of aerosols, including those generated by Asian wildfires, on clouds that contain both liquid and ice. ISDAC utilized the Atmospheric Radiation Measurement Pro- gram's permanent observational facilities at Barrow and specially deployed instruments measuring aerosol, ice fog, precipitation, and radiation. The National Research Council of Canada Convair-580 flew 27 sorties and collected data using an unprecedented 41more » stateof- the-art cloud and aerosol instruments for more than 100 h on 12 different days. Aerosol compositions, including fresh and processed sea salt, biomassburning particles, organics, and sulfates mixed with organics, varied between flights. Observations in a dense arctic haze on 19 April and above, within, and below the single-layer stratocumulus on 8 and 26 April are enabling a process-oriented understanding of how aerosols affect arctic clouds. Inhomogeneities in reflectivity, a close coupling of upward and downward Doppler motion, and a nearly constant ice profile in the single-layer stratocumulus suggests that vertical mixing is responsible for its longevity observed during ISDAC. Data acquired in cirrus on flights between Barrow and Fairbanks, Alaska, are improving the understanding of the performance of cloud probes in ice. Furthermore, ISDAC data will improve the representation of cloud and aerosol processes in models covering a variety of spatial and temporal scales, and determine the extent to which surface measurements can provide retrievals of aerosols, clouds, precipitation, and radiative heating.« less

  20. Cloud radar Doppler spectra in drizzling stratiform clouds: 1. Forward modeling and remote sensing applications

    SciTech Connect (OSTI)

    Kollias, P.; Luke, E.; Rmillard, J.; Szyrmer, W.

    2011-07-02

    Several aspects of spectral broadening and drizzle growth in shallow liquid clouds remain not well understood. Detailed, cloud-scale observations of microphysics and dynamics are essential to guide and evaluate corresponding modeling efforts. Profiling, millimeter-wavelength (cloud) radars can provide such observations. In particular, the first three moments of the recorded cloud radar Doppler spectra, the radar reflectivity, mean Doppler velocity, and spectrum width, are often used to retrieve cloud microphysical and dynamical properties. Such retrievals are subject to errors introduced by the assumptions made in the inversion process. Here, we introduce two additional morphological parameters of the radar Doppler spectrum, the skewness and kurtosis, in an effort to reduce the retrieval uncertainties. A forward model that emulates observed radar Doppler spectra is constructed and used to investigate these relationships. General, analytical relationships that relate the five radar observables to cloud and drizzle microphysical parameters and cloud turbulence are presented. The relationships are valid for cloud-only, cloud mixed with drizzle, and drizzle-only particles in the radar sampling volume and provide a seamless link between observations and cloud microphysics and dynamics. The sensitivity of the five observed parameters to the radar operational parameters such as signal-to-noise ratio and Doppler spectra velocity resolution are presented. The predicted values of the five observed radar parameters agree well with the output of the forward model. The novel use of the skewness of the radar Doppler spectrum as an early qualitative predictor of drizzle onset in clouds is introduced. It is found that skewness is a parameter very sensitive to early drizzle generation. In addition, the significance of the five parameters of the cloud radar Doppler spectrum for constraining drizzle microphysical retrievals is discussed.

  1. Research Highlight

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

    Automated Rain Rate Estimates Using the Ka-band ARM Zenith Radar (KAZR) Submitter: Chandra, A. S., McGill University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Chandra A, C Zhang, P Kollias, S Matrosov, and W Szyrmer. 2015. "Automated rain rate estimates using the Ka-band ARM Zenith Radar (KAZR)." Atmospheric Measurement Techniques, 8(1-15), doi:10.5194/amt-8-1-2015. ACCEPTED. Scatter plots of rain rates (R) observed from a video

  2. Science on the Hill: Methane cloud hunting

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

    Methane cloud hunting Methane cloud hunting Los Alamos researchers go hunting for methane gas over the Four Corners area of northwest New Mexico and find a strange daily pattern. July 12, 2015 methane map Methane, the primary component of natural gas, is also a potent greenhouse gas, trapping energy in the atmosphere. Last year NASA released satellite images showing a hot spot in the area where New Mexico, Colorado, Utah and Arizona meet, prompting scientists to go in search of the sources.

  3. ARM - Measurement - Cloud fraction

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

    Flux Analysis SWFLUXANAL : Shortwave Flux Analysis TSI : Total Sky Imager UAV-EGRETT : UAV-Egrett WSI : Whole Sky Imager WSICLOUD : Whole Sky Imager Cloud Products ...

  4. Finance Idol Word Cloud

    Broader source: Energy.gov [DOE]

    This word cloud represents the topics discussed during the Big and Small Ideas: How to Lower Solar Financing Costs breakout session at the SunShot Grand Challenge.

  5. ARM - Measurement - Cloud phase

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

    that involves property descriptors such as stratus, cumulus, and cirrus. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  6. 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,

  7. Final Report for Research Conducted at The Scripps Institution of Oceanography, University of California San Diego from 2/2002 to 8/2003 for ''Aerosol and Cloud-Field Radiative Effects in the Tropical Western Pacific: Analyses and General Circulation Model Parameterizations''

    SciTech Connect (OSTI)

    Vogelmann, A. M.

    2004-01-27

    OAK-B135 Final report from the University of California San Diego for an ongoing research project that was moved to Brookhaven National Laboratory where proposed work will be completed. The research uses measurements made by the Atmospheric Radiation Measurement (ARM) Program to quantify the effects of aerosols and clouds on the Earth's energy balance in the climatically important Tropical Western Pacific.

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

    SciTech Connect (OSTI)

    Albrecht, Bruce,

    2013-07-12

    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 UM’s research focusing on the analyses of ARM cloud radar observations from MMCR and WACR and FIU’s 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.

  9. 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 Images Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES 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:

  10. Research Highlight

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

    Validation of CERES-MODIS Cloud Properties Using ARM Data Submitter: Dong, X., University of Arizona 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,

  11. Research Highlight

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

    Theoretical Formulation for Cloud-to-Rain Transition Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling 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. The "typical drop radius" r* as a function of the mean volume radius r3

  12. Research Highlight

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

    Mid-Level Cloud Formation at the ARM Darwin Site Download a printable PDF Submitter: Riihimaki, L., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Riihimaki LD, SA McFarlane, and JM Comstock. 2012. "Climatology and formation of tropical midlevel clouds at the Darwin ARM site." Journal of Climate, 25(19), doi:10.1175/JCLI-D-11-00599.1. Hovering between the large anvils from storm-forming

  13. Research Highlight

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

    Rain and Cloud Resistance Download a printable PDF Submitter: Flaherty, J., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Deng L, S McFarlane, and J Flaherty. 2013. "Characteristics associated with the Madden-Julian Oscillation at Manus Island." Journal of Climate, 26(10), doi:10.1175/JCLI-D-12-00312.1. Deep tropical clouds are sometimes called the engines of the global climate. They

  14. Research Highlight

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

    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

  15. Collaborative Research: Process-Resolving Decomposition of the Global Temperature Response to Modes of Low Frequency Variability in a Changing Climate

    SciTech Connect (OSTI)

    Deng, Yi

    2014-11-24

    DOE-GTRC-05596 11/24/2104 Collaborative Research: Process-Resolving Decomposition of the Global Temperature Response to Modes of Low Frequency Variability in a Changing Climate PI: Dr. Yi Deng (PI) School of Earth and Atmospheric Sciences Georgia Institute of Technology 404-385-1821, yi.deng@eas.gatech.edu El Niño-Southern Oscillation (ENSO) and Annular Modes (AMs) represent respectively the most important modes of low frequency variability in the tropical and extratropical circulations. The projection of future changes in the ENSO and AM variability, however, remains highly uncertain with the state-of-the-science climate models. This project conducted a process-resolving, quantitative evaluations of the ENSO and AM variability in the modern reanalysis observations and in climate model simulations. The goal is to identify and understand the sources of uncertainty and biases in models’ representation of ENSO and AM variability. Using a feedback analysis method originally formulated by one of the collaborative PIs, we partitioned the 3D atmospheric temperature anomalies and surface temperature anomalies associated with ENSO and AM variability into components linked to 1) radiation-related thermodynamic processes such as cloud and water vapor feedbacks, 2) local dynamical processes including convection and turbulent/diffusive energy transfer and 3) non-local dynamical processes such as the horizontal energy transport in the oceans and atmosphere. In the past 4 years, the research conducted at Georgia Tech under the support of this project has led to 15 peer-reviewed publications and 9 conference/workshop presentations. Two graduate students and one postdoctoral fellow also received research training through participating the project activities. This final technical report summarizes key scientific discoveries we made and provides also a list of all publications and conference presentations resulted from research activities at Georgia Tech. The main findings include

  16. Boundary Layer Cloud Turbulence Characteristics

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

    Boundary Layer Cloud Turbulence Characteristics Virendra Ghate Bruce Albrecht Parameter Observational Readiness (/10) Modeling Need (/10) Cloud Boundaries 9 9 Cloud Fraction Variance Skewness Up/Downdraft coverage Dominant Freq. signal Dissipation rate ??? Observation-Modeling Interface

  17. Industrial Technologies Program Research Plan for Energy-Intensive Process Industries

    SciTech Connect (OSTI)

    Chapas, Richard B.; Colwell, Jeffery A.

    2007-10-01

    In this plan, the Industrial Technologies Program (ITP) identifies the objectives of its cross-cutting strategy for conducting research in collaboration with industry and U.S. Department of Energy national laboratories to develop technologies that improve the efficiencies of energy-intensive process industries.

  18. Selection Process and Notification for Small Business Innovation Research and Small Business Technology Transfer Awards

    Broader source: Energy.gov [DOE]

    Once you apply for a U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Small Business Innovation Research Program (SBIR) grant, the selection process begins, which includes an initial review, technical merit review, discussions, and notifications.

  19. Marketing research for EE G Mound Applied Technologies' heat treatment process of high strength materials

    SciTech Connect (OSTI)

    Shackson, R.H.

    1991-10-09

    This report summarizes research conducted by ITI to evaluate the commercialization potential of EG G Mound Applied Technologies' heat treatment process of high strength materials. The remainder of the report describes the nature of demand for maraging steel, extent of demand, competitors, environmental trends, technology life cycle, industry structure, and conclusion. (JL)

  20. Savannah River Site Salt Processing Project: FY2002 Research and Development Program Plan

    SciTech Connect (OSTI)

    Harmon, Harry D.; Leugemors, Robert K.; Schlahta, Stephan N.; Fink, Samuel D.; Thompson, Major C.; Walker, Darrell D.

    2001-10-31

    This Plan describes the technology development program for alpha/strontium removal and Caustic Side Solvent Extraction cesium removal in FY2002. Crystalline Silicotitanate and Small Tank Tetratphenylborate Precipitation are discussed as possible backup technologies. Previous results are summarized in the Savannah River Site Salt Processing Project Research and Development Summary Report

  1. Savannah River Site Salt Processing Project: FY2002 Research and Development Program Plan, Rev. 1

    SciTech Connect (OSTI)

    Harmon, Harry D.; Leugemors, Robert K.; Schlahta, Stephan N.; Fink, Samuel D.; Thompson, Major C.; Walker, Darrell D.

    2001-12-10

    This Plan describes the technology development program for alpha/strontium removal and Caustic Side Solvent Extraction cesium removal in FY2002. Crystalline Silicotitanate and Small Tank Tetratphenylborate Precipitation are discussed as possible backup technologies. Previous results are summarized in the Savannah River Site Salt Processing Project Research and Development Summary Report.

  2. EM Celebrates Milestone with Removal of Last Waste Tank at Separations Process Research Unit

    Broader source: Energy.gov [DOE]

    NISKAYUNA, N.Y. – EM recently marked a notable milestone at the Separations Process Research Unit (SPRU) when workers removed the last of seven large waste storage tanks from a vault and shipped it to an offsite low-level radioactive waste disposal facility.

  3. The role of clouds and oceans in global greenhouse warming. Final report

    SciTech Connect (OSTI)

    Hoffert, M.I.

    1996-10-01

    This research focuses on assessing connections between anthropogenic greenhouse gas emissions and global climatic change. it has been supported since the early 1990s in part by the DOE ``Quantitative Links`` Program (QLP). A three-year effort was originally proposed to the QLP to investigate effects f global cloudiness on global climate and its implications for cloud feedback; and to continue the development and application of climate/ocean models, with emphasis on coupled effects of greenhouse warming and feedbacks by clouds and oceans. It is well-known that cloud and ocean processes are major sources of uncertainty in the ability to predict climatic change from humankind`s greenhouse gas and aerosol emissions. And it has always been the objective to develop timely and useful analytical tools for addressing real world policy issues stemming from anthropogenic climate change.

  4. Research prioritization using the Analytic Hierarchy Process: basic methods. Volume 1

    SciTech Connect (OSTI)

    Vesely, W.E.; Shafaghi, A.; Gary, I. Jr.; Rasmuson, D.M.

    1983-08-01

    This report describes a systematic approach for prioritizing research needs and research programs. The approach is formally called the Analytic Hierarchy Process which was developed by T.L. Saaty and is described in several of his texts referenced in the report. The Analytic Hierarchy Process, or AHP for short, has been applied to a wide variety of prioritization problems and has a good record of success as documented in Saaty's texts. The report develops specific guidelines for constructing the hierarchy and for prioritizing the research programs. Specific examples are given to illustrate the steps in the AHP. As part of the work, a computer code has been developed and the use of the code is described. The code allows the prioritizations to be done in a codified and efficient manner; sensitivity and parametric studies can also be straightforwardly performed to gain a better understanding of the prioritization results. Finally, as an important part of the work, an approach is developed which utilizes probabilistic risk analyses (PRAs) to systematically identify and prioritize research needs and research programs. When utilized in an AHP framework, the PRA's which have been performed to date provide a powerful information source for focusing research on those areas most impacting risk and risk uncertainty.

  5. Temperature, Water Vapor, and Clouds"

    Office of Scientific and Technical Information (OSTI)

    Radiometric Studies of Temperature, Water Vapor, and Clouds" Project ID: 0011106 ... measurements of column amounts of water vapor and cloud liquid has been well ...

  6. TC_CLOUD_REGIME.cdr

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

    intensity (e.g. May and Ballinger, 2007) Resulting Cloud Properties Examine rain DSD using polarimetric radar Examine ice cloud properties using MMCR and MPL Expect...

  7. ARM - Measurement - Cloud effective radius

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

    the number size distribution of cloud particles, whether liquid or ice. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  8. Higher Clouds Retain Less Energy | U.S. DOE Office of Science...

    Office of Science (SC) Website

    Higher Clouds Retain Less Energy Biological and Environmental Research (BER) BER Home ... Biological and Environmental Research U.S. Department of Energy SC-23Germantown Building ...

  9. Radiative Importance of ThinŽ Liquid Water Clouds

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

    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

  10. Midlatitude Continental Convective Clouds Experiment (MC3E)

    SciTech Connect (OSTI)

    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

    2010-04-01

    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

  11. Sensitivity of Boundary-layer and Deep Convective Cloud Simulations to

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

    Vertical Resolution Sensitivity of Boundary-layer and Deep Convective Cloud Simulations to Vertical Resolution Cheng, Anning Langley Research Center Xu, Kuan-Man NASA Langley Research Center Category: Modeling This study investigates the effects of vertical resolution on the simulation of boundary-layer and deep convective clouds using a cloud resolving model (CRM). A CRM usually uses a vertical grid spacing less than 100 m to simulate boundary layer clouds such as shallow cumuli and

  12. Using Radar, Lidar, and Radiometer measurements to Classify Cloud Type and Study Middle-Level Cloud Properties

    SciTech Connect (OSTI)

    Wang, Zhien

    2006-01-04

    The project is concerned with the characterization of cloud macrophysical and microphysical properties by combining radar, lidar, and radiometer measurements available from the U.S. Department of Energy's ARM Climate Research Facility (ACRF). To facilitate the production of integrated cloud product by applying different algorithms to the ARM data streams, an advanced cloud classification algorithm was developed to classified clouds into eight types at the SGP site based on ground-based active and passive measurements. Cloud type then can be used as a guidance to select an optimal retrieval algorithm for cloud microphysical property retrieval. The ultimate goal of the effort is to develop an operational cloud classification algorithm for ARM data streams. The vision 1 IDL code of the cloud classification algorithm based on the SGP ACRF site observations was delivered to the ARM cloud translator during 2004 ARM science team meeting. Another goal of the project is to study midlevel clouds, especially mixed-phase clouds, by developing new retrieval algorithms using integrated observations at the ACRF sites. Mixed-phase clouds play a particular role in the Arctic climate system. A multiple remote sensor based algorithm, which can provide ice water content and effective size profiles, liquid water path, and layer-mean effective radius of water droplet, was developed to study arctic mixed-phase clouds. The algorithm is applied to long-term ARM observations at the NSA ACRF site. Based on these retrieval results, we are studying seasonal and interannual variations of arctic mixed-phase cloud macro- and micro-physical properties.

  13. Review of internal combustion engine combustion chamber process studies at NASA Lewis Research Center

    SciTech Connect (OSTI)

    Schock, H.J.

    1984-01-01

    The performance of internal combustion stratified-charge engines is highly dependent on the in-cylinder fuel-air mixing processes occurring in these engines. Current research concerning the in-cylinder airflow characteristics of rotary and piston engines is presented. Results showing the output of multidimensional models, laser velocimetry measurements and the application of a holographic optical element are described. Models which simulate the four-stroke cycle and seal dynamics of rotary engines are also discussed.

  14. Mr. Jeff Selvey Project Manager Separations Process Research Unit Disposition Project

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6 Mr. Jeff Selvey Project Manager Separations Process Research Unit Disposition Project URS Energy and Construction, Inc. 2345 Nott Street East Suite 200 St. James Square Niskayuna, New York 12309 WEL-2016-02 Dear Mr. Selvey: The Office of Enterprise Assessments' Office of Enforcement conducted an investigation of the heat stress management program being implemented by URS Energy and Construction, Inc. (URS) during Deactivation and Decommissioning (D&D) work at the Department of Energy's

  15. Drizzle formation in stratocumulus clouds: Effects of turbulent mixing

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Magaritz-Ronen, L.; Pinsky, M.; Khain, A.

    2016-02-17

    The mechanism of drizzle formation in shallow stratocumulus clouds and the effect of turbulent mixing on this process are investigated. A Lagrangian–Eularian model of the cloud-topped boundary layer is used to simulate the cloud measured during flight RF07 of the DYCOMS-II field experiment. The model contains ~ 2000 air parcels that are advected in a turbulence-like velocity field. In the model all microphysical processes are described for each Lagrangian air volume, and turbulent mixing between the parcels is also taken into account. It was found that the first large drops form in air volumes that are closest to adiabatic andmore » characterized by high humidity, extended residence near cloud top, and maximum values of liquid water content, allowing the formation of drops as a result of efficient collisions. The first large drops form near cloud top and initiate drizzle formation in the cloud. Drizzle is developed only when turbulent mixing of parcels is included in the model. Without mixing, the cloud structure is extremely inhomogeneous and the few large drops that do form in the cloud evaporate during their sedimentation. Lastly, it was found that turbulent mixing can delay the process of drizzle initiation but is essential for the further development of drizzle in the cloud.« less

  16. 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 Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Cloud-Aerosol-Precipitation Interactions...

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

    SciTech Connect (OSTI)

    Schumacher, Courtney

    2012-12-13

    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.

  18. Research Highlight

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

    Cloud Ensemble Simulation with the ARM IOP Data Submitter: Xu, K., NASA - Langley Research Center Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 The main objective of this study is to use ARM IOP data to refine a cloudiness parameterization, as proposed by Xu and Randall (1996a). The cloudiness parameterization uses the large-scale average condensate (cloud water

  19. 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 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,

  20. Research Highlight

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

    Predicting Arctic Sea Ice Loss Download a printable PDF Submitter: Liu, X., University of Wyoming Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Liu X, S Xie, J Boyle, SA Klein, X Shi, Z Wang, W Lin, SJ Ghan, M Earle, PS Liu, and A Zelenyuk. 2011. "Testing cloud microphysics parameterizations in NCAR CAM5 with ISDAC and M-PACE observations." Journal of Geophysical Research, 116, D00T11,

  1. Magellan: experiences from a Science Cloud

    SciTech Connect (OSTI)

    Ramakrishnan, Lavanya; Zbiegel, Piotr; Campbell, Scott; Bradshaw, Rick; Canon, Richard; Coghlan, Susan; Sakrejda, Iwona; Desai, Narayan; Declerck, Tina; Liu, Anping

    2011-02-02

    Cloud resources promise to be an avenue to address new categories of scientific applications including data-intensive science applications, on-demand/surge computing, and applications that require customized software environments. However, there is a limited understanding on how to operate and use clouds for scientific applications. Magellan, a project funded through the Department of Energy?s (DOE) Advanced Scientific Computing Research (ASCR) program, is investigating the use of cloud computing for science at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Facility (NERSC). In this paper, we detail the experiences to date at both sites and identify the gaps and open challenges from both a resource provider as well as application perspective.

  2. Intercomparison of the Cloud Water Phase among Global Climate Models

    SciTech Connect (OSTI)

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

    2014-03-27

    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.

  3. Research Highlight

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

    Improving Convection Parameterization Using ARM Observations and NCAR Community Atmosphere Model Download a printable PDF Submitter: Zhang, G., University of California, San Diego Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Li, G, and GJ Zhang. 2008. "Understanding biases in shortwave cloud radiative forcing in the National Center for Atmospheric Research Community Atmosphere Model (CAM3) during El

  4. Research Highlight

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

    Small Ice Crystals on Ice Sedimentation Rates in Cirrus Clouds and GCM Simulations Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Rasch, P., Pacific Northwest National Laboratory Ivanova, D., Embry-Riddle Aeronautical University McFarquhar, G., University of Illinois, Urbana Nousiainen, T. P., University of Helsinki Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Properties Journal Reference: Mitchell, DL, P

  5. Research Highlight

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

    Adoption of RRTMG in the NCAR CAM5 and CESM1 Global Climate Models Download a printable PDF Submitter: Iacono, M. J., Atmospheric & Environmental Research, Inc. Collins, W. D., Lawrence Berkeley National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A Figure 1. Shortwave cloud forcing for three versions of the NCAR Community Atmosphere Model (CAM) with CERES

  6. Research Highlight

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

    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

  7. Research Highlight

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

    Digging Into Climate Models' Needs with SPADE Download a printable PDF Submitter: Gustafson, W. I., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Gustafson WI, PL Ma, H Xiao, B Singh, PJ Rasch, and JD Fast. 2013. "The separate physics and dynamics experiment (SPADE) framework for determining resolution awareness: A case study of microphysics." Journal of Geophysical Research -

  8. Research Highlight

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

    Invisible Giants in the Sky Download a printable PDF Submitter: 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

  9. Research Highlight

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

    MBL Aerosol Properties and Their Impact on CCN at the Azores-AMF Site Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Aerosol Properties Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Logan T, B Xi, and X Dong. 2014. "Aerosol properties and their influences on marine boundary layer cloud condensation nuclei at the ARM mobile facility over the Azores." Journal of Geophysical Research - Atmospheres, 119(8),

  10. Research Highlight

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

    Accuracy of GFS and ECMWF Hurricane Sandy Track Forecasts Dependent on Cumulus Parameterization Download a printable PDF Submitter: Bassill, N. P., University of Utah Zipser, E., University of Utah Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Bassill NP. 2014. "Accuracy of early GFS and ECMWF Sandy (2012) track forecasts: Evidence for a dependence on cumulus parameterization." Geophysical Research Letters, ,

  11. Research Highlight

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

    Birth and Growth of an Aerosol Download a printable PDF Submitter: Fast, J. D., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A An aerosol particle journey. New modeling approaches developed by a research team led by PNNL show how aerosol particles are born and grow to affect the atmosphere and ultimately climate. Tiny atmospheric aerosols are some of the most highly

  12. Tanks Focus Area Alternative Salt Processing Research and Development Program Plan

    SciTech Connect (OSTI)

    Harmon, Harry D.

    2000-11-30

    In March 2000, DOE-Headquarters (HQ) requested the Tanks Focus Area (TFA) to assume management responsibility for the Salt Processing Project technology development program at Savannah River Site. The TFA was requested to conduct several activities, including review and revision of the technology development roadmaps, development of down-selection criteria, and preparation of a comprehensive Research and Development (R&D) Program Plan for three candidate cesium removal technologies, as well as the Alpha and strontium removal processes that must also be carried out. The three cesium removal candidate technologies are Crystalline Silicotitanate (CST) Non-Elutable Ion Exchange, Caustic Side Solvent Extraction (CSSX), and Small Tank Tetraphenylborate Precipitation (STTP). This plan describes the technology development needs for each process that must be satisfied in order to reach a down-selection decision, as well as continuing technology development required to support conceptual design activities.

  13. Tanks Focus Area Alternative Salt Processing Research and Development Program Plan

    SciTech Connect (OSTI)

    Harmon, Harry D.

    2000-05-15

    In March 2000, DOE-Headquarters (HQ) requested the Tanks Focus Area (TFA)to assume management responsibility for the Salt Processing Project technology development program at Savannah River Site. The TFA was requested to conduct several activities, including review and revision of the technology development roadmaps, development of down-selection criteria, and preparation of a comprehensive Research and Development (R&D) Program Plan for three candidate cesium removal technologies, as well as the Alpha and strontium removal processes that must also be carried out. The three cesium removal candidate technologies are Crystalline Silicotitanate (CST) Non-Elutable Ion Exchange, Caustic Side Solvent Extraction (CSSX), and Small Tank Tetraphenylborate Precipitation (STTP). This plan describes the technology development needs for each process that must be satisfied in order to reach a down-selection decision, as well as continuing technology development required to support conceptual design activities.

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

    SciTech Connect (OSTI)

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

    1997-05-01

    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.

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

    SciTech Connect (OSTI)

    Speight, J.G.

    1992-12-31

    Accomplishments for the past quarter are presented for the following five tasks: oil shale; tar sand; coal; advanced exploratory process technology; and jointly sponsored research. Oil shale research covers oil shale process studies. Tar sand research is on process development of Recycle Oil Pyrolysis and Extraction (ROPE) Process. Coal research covers: coal combustion; integrated coal processing concepts; and solid waste management. Advanced exploratory process technology includes: advanced process concepts;advanced mitigation concepts; and oil and gas technology. Jointly sponsored research includes: 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; characterization of petroleum residue; shallow oil production using horizontal wells with enhanced oil recovery techniques; surface process study for oil recovery using a thermal extraction process; NMR analysis of samples from the ocean drilling program; in situ treatment of manufactured gas plant contaminated soils demonstration program; and solid state NMR analysis of naturally and artificially matured kerogens.

  16. Research investigations in oil shale, tar sand, coal research, advanced exploratory process technology, and advanced fuels research: Volume 2 -- Jointly sponsored research program. Final report, October 1986--September 1993

    SciTech Connect (OSTI)

    Smith, V.E.

    1994-09-01

    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.

  17. Magellan: A Cloud Computing Testbed

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

    Magellan News & Announcements Archive Petascale Initiative Exascale Computing APEX Home » R & D » Archive » Magellan: A Cloud Computing Testbed Magellan: A Cloud Computing Testbed Cloud computing is gaining a foothold in the business world, but can clouds meet the specialized needs of scientists? That was one of the questions NERSC's Magellan cloud computing testbed explored between 2009 and 2011. The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Oce

  18. Parameterizations of Cloud Microphysics and Indirect Aerosol Effects

    SciTech Connect (OSTI)

    Tao, Wei-Kuo

    2014-05-19

    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

  19. First observations of tracking clouds using scanning ARM cloud radars

    SciTech Connect (OSTI)

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (‘‘first echo’’). These measurements complement cloud and precipitation tracking using geostationary satellites and weather radars. Here, two-dimensional (2-D) Along-Wind Range Height Indicator (AW-RHI) observations of a population of shallow cumuli (with and without precipitation) from the 35-GHz scanning ARM cloud radar (SACR) at the DOE Atmospheric Radiation Measurements (ARM) program Southern Great Plains (SGP) site are presented. Observations from the ARM SGP network of scanning precipitation radars are used to provide the larger scale context of the cloud field and to highlight the advantages of the SACR to detect the numerous, small, non-precipitating cloud elements. A new Cloud Identification and Tracking Algorithm (CITA) is developed to track cloud elements. In CITA, a cloud element is identified as a region having a contiguous set of pixels exceeding a preset reflectivity and size threshold. The high temporal resolution of the SACR 2-D observations (30 sec) allows for an area superposition criteria algorithm to match cloud elements at consecutive times. Following CITA, the temporal evolution of cloud element properties (number, size, and maximum reflectivity) is presented. The vast majority of the designated elements during this cumulus event were short-lived non-precipitating clouds having an apparent life cycle shorter than 15 minutes. The advantages and disadvantages of cloud tracking using an SACR are discussed.

  20. First observations of tracking clouds using scanning ARM cloud radars

    SciTech Connect (OSTI)

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (first echo). These measurements complement cloud and precipitation tracking using geostationary satellites and weather radars. Here, two-dimensional (2-D) Along-Wind Range Height Indicator (AW-RHI) observations of a population of shallow cumuli (with and without precipitation) from the 35-GHz scanning ARM cloud radar (SACR) at the DOE Atmospheric Radiation Measurements (ARM) program Southern Great Plains (SGP) site are presented. Observations from the ARM SGP network of scanning precipitation radars are used to provide the larger scale context of the cloud field and to highlight the advantages of the SACR to detect the numerous, small, non-precipitating cloud elements. A new Cloud Identification and Tracking Algorithm (CITA) is developed to track cloud elements. In CITA, a cloud element is identified as a region having a contiguous set of pixels exceeding a preset reflectivity and size threshold. The high temporal resolution of the SACR 2-D observations (30 sec) allows for an area superposition criteria algorithm to match cloud elements at consecutive times. Following CITA, the temporal evolution of cloud element properties (number, size, and maximum reflectivity) is presented. The vast majority of the designated elements during this cumulus event were short-lived non-precipitating clouds having an apparent life cycle shorter than 15 minutes. The advantages and disadvantages of cloud tracking using an SACR are discussed.

  1. ARM - Midlatitude Continental Convective Clouds

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

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

    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.

  2. ARM - Midlatitude Continental Convective Clouds

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

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

    2012-01-19

    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.

  3. Fundamental research on novel process alternatives for coal gasification: Final report

    SciTech Connect (OSTI)

    Hill, A H; Knight, R A; Anderson, G L; Feldkirchner, H L; Babu, S P

    1986-10-01

    The Institute of Gas Technology has conducted a fundamental research program to determine the technical feasibility of and to prepare preliminary process evaluations for two new approaches to coal gasification. These two concepts were assessed under two major project tasks: Task 1. CO/sub 2/-Coal Gasification Process Concept; Task 2. Internal Recirculation Catalysts Coal Gasification Process Concept. The first process concept involves CO/sub 2/-O/sub 2/ gasification of coal followed by CO/sub 2/ removal from the hot product gas by a solid MgO-containing sorbent. The sorbent is regenerated by either a thermal- or a pressure-swing step and the CO/sub 2/ released is recycled back to the gasifier. The product is a medium-Btu gas. The second process concept involves the use of novel ''semivolatile'' materials as internal recirculating catalysts for coal gasification. These materials remain in the gasifier because their vapor pressure-temperature behavior is such that they will be in the vapor state at the hotter, char exit part of the reactor and will condense in the colder, coal-inlet part of the reactor. 21 refs., 43 figs., 43 tabs.

  4. Research on the pyrolysis of hardwood in an entrained bed process development unit

    SciTech Connect (OSTI)

    Kovac, R.J.; Gorton, C.W.; Knight, J.A.; Newman, C.J.; O'Neil, D.J. . Research Inst.)

    1991-08-01

    An atmospheric flash pyrolysis process, the Georgia Tech Entrained Flow Pyrolysis Process, for the production of liquid biofuels from oak hardwood is described. The development of the process began with bench-scale studies and a conceptual design in the 1978--1981 timeframe. Its development and successful demonstration through research on the pyrolysis of hardwood in an entrained bed process development unit (PDU), in the period of 1982--1989, is presented. Oil yields (dry basis) up to 60% were achieved in the 1.5 ton-per-day PDU, far exceeding the initial target/forecast of 40% oil yields. Experimental data, based on over forty runs under steady-state conditions, supported by material and energy balances of near-100% closures, have been used to establish a process model which indicates that oil yields well in excess of 60% (dry basis) can be achieved in a commercial reactor. Experimental results demonstrate a gross product thermal efficiency of 94% and a net product thermal efficiency of 72% or more; the highest values yet achieved with a large-scale biomass liquefaction process. A conceptual manufacturing process and an economic analysis for liquid biofuel production at 60% oil yield from a 200-TPD commercial plant is reported. The plant appears to be profitable at contemporary fuel costs of $21/barrel oil-equivalent. Total capital investment is estimated at under $2.5 million. A rate-of-return on investment of 39.4% and a pay-out period of 2.1 years has been estimated. The manufacturing cost of the combustible pyrolysis oil is $2.70 per gigajoule. 20 figs., 87 tabs.

  5. Cloud-based Architecture Capabilities Summary Report

    SciTech Connect (OSTI)

    Vang, Leng; Prescott, Steven R; Smith, Curtis

    2014-09-01

    In collaborating scientific research arena it is important to have an environment where analysts have access to a shared of information documents, software tools and be able to accurately maintain and track historical changes in models. A new cloud-based environment would be accessible remotely from anywhere regardless of computing platforms given that the platform has available of Internet access and proper browser capabilities. Information stored at this environment would be restricted based on user assigned credentials. This report reviews development of a Cloud-based Architecture Capabilities (CAC) as a web portal for PRA tools.

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

    SciTech Connect (OSTI)

    Huang, Hsin-Yuan; Hall, Alex

    2013-07-24

    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

  7. Evaluation of high‐level clouds in cloud resolving model...

    Office of Scientific and Technical Information (OSTI)

    Evaluation of high-level clouds in cloud resolving model 10.10022015MS000478 simulations with ARM and KWAJEX observations Key Points: * Two-moment microphysics improves simulated ...

  8. A Novel Approach for Introducing 3D Cloud Spatial Structure

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

    Novel Approach for Introducing 3D Cloud Spatial Structure Into 1D Radiative Transfer For original submission and image(s), see ARM Research Highlights http:www.arm.govscience...

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

    SciTech Connect (OSTI)

    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

    2014-02-01

    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.

  10. Research Highlights

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

    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 Office of Science 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

  11. The Magellan Final Report on Cloud Computing

    SciTech Connect (OSTI)

    ,; Coghlan, Susan; Yelick, Katherine

    2011-12-21

    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.

  12. Research Highlight

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

    Observations of Microphysical Properties of Single-Layer Stratocumulus During the Mixed-Phase Arctic Cloud Experiment Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Fridlind, A.M., A.S. Ackerman, G.M. McFarquhar, G. Zhang, M.R. Poellot, P.J. DeMott, A.J. Prenni and A.J. Heymsfield, 2007: Ice properties of single-layer stratocumulus during the

  13. 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 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

  14. Research Highlight

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

    Ground-Based Cloud Measurements Used 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),

  15. Research Highlight

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

    Case Closed on Nauru Island Effect Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES 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

  16. Research Highlight

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

    Icy Business of Calculating Cirrus Clouds 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: McFarquhar, G.M., S. Iacobellis, and R.C.J. Somerville, 2003: "SCM simulations of tropical ice clouds using observationally based parameterizations of microphysics," J. Climate 16(11):1643-1664. Iacobellis, S.F., G.M. McFarquhar, D.L. Mitchell, and

  17. Research Highlight

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

    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

  18. Research Highlight

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

    Mingling in the Sky-A View from the Earth Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Madhavan BL, Y He, Y Wu, B Gross, F Moshary, and S Ahmed. 2012. "Development of a ground based remote sensing approach for direct evaluation of aerosol-cloud interaction." Atmosphere, 3(4), doi:10.3390/atmos3040468. Two different types of

  19. Research Highlight

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

    Clouds Re-gathered by Wind Shear Download a printable PDF Submitter: Yang, Q., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Yang Q, RC Easter, P Campuzano-Jost, JL Jimenez, JD Fast, SJ Ghan, H Wang, LK Berg, MC Barth, Y Liu, MB Shrivastava, B Singh, H Morrison, J Fan, CL Ziegler, M Bela, E Apel, GS Diskin, T Mikoviny, and A Wisthaler. 2015. "Aerosol transport and

  20. An Improved Cloud Classification Algorithm Based on the SGP CART Site Observations

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

    Improved Cloud Classification Algorithm Based on the SGP CART Site Observations Z. Wang Goddard Earth Sciences and Technology Center University of Maryland Greenbelt, Maryland K. Sassen University of Alaska Fairbanks, Alaska Introduction Different types of clouds are usually governed by different cloud dynamics processes and have different microphysical properties, which results in different cloud radiative forcings (Hartmann et al. 1992; Chen et al. 2000). Climate changes can result in changing

  1. Radiative Influences on Glaciation Time-Scales of Mixed-Phase Clouds

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

    Radiative Influences on Glaciation Time-Scales of Mixed-Phase Clouds Harrington, Jerry The Pennsylvania State University Category: Modeling Mixed-phase stratus clouds are dominant in the Arctic during much of the year. These clouds typically have liquid tops that precipitate ice. Time scales for the complete glaciation of such clouds (the Bergeron process) are typically computed using the classical mass growth equations for crystals and liquid drops. However, mixed phase arctic stratus have

  2. Understanding Ice Supersaturation, Particle Growth, and Number Concentration in Cirrus Clouds

    SciTech Connect (OSTI)

    Comstock, Jennifer M.; Lin, Ruei-Fong; Starr, David O.; Yang, P.

    2008-12-10

    Many factors control the ice supersaturation and microphysical properties in cirrus clouds. We explore the effects of dynamic forcing, ice nucleation mechanisms, and ice crystal growth rate on the evolution and distribution of water vapor and cloud properties in cirrus clouds using a detailed microphysical model and remote sensing measurements obtained at the Department of Energys Atmospheric Radiation Measurement (ARM) Climate Research Facility located near Lamont, OK. To help understand dynamic scales important in cirrus formation, we force the model using both large-scale forcing derived using ARM variational analysis, and mean mesoscale velocity derived from radar Doppler velocity measurements. Both heterogeneous and homogeneous nucleation processes are explored, where we have implemented a rigorous classical theory heterogeneous nucleation scheme to compare with empirical representations. We evaluate model simulations by examining both bulk cloud properties and distributions of measured radar reflectivity, lidar extinction, and water vapor profiles, as well as retrieved cloud microphysical properties. This approach allows for independent verification of both the large and small particle modes of the particle size distribution. Our results suggest that mesoscale variability is the primary mechanism needed to reproduce observed quantities, while nucleation mechanism is secondary. Slow ice crystal growth tends to overestimate the number of small ice crystals, but does not seem to influence bulk properties such as ice water path and cloud thickness. The most realistic simulations as compared with observations are forced using mesoscale waves, include fast ice crystal growth, and initiate ice by either homogeneous or heterogeneous nucleation. Ice crystal number concentrations on the order of 10-100 L-1 produce results consistent with both lidar and radar observations during a cirrus event observed on 7 December 1999, which has an optical depth range typical of

  3. Opaque cloud detection

    DOE Patents [OSTI]

    Roskovensky, John K.

    2009-01-20

    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.

  4. Bringing Clouds into Focus

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

    Bringing Clouds into Focus Bringing Clouds into Focus A New Global Climate Model May Reduce the Uncertainty of Climate Forecasting May 11, 2010 Contact: John Hules, JAHules@lbl.gov , +1 510 486 6008 Randall-fig4.png The large data sets generated by the GCRM require new analysis and visualization capabilities. This 3D plot of vorticity isosurfaces was developed using VisIt, a 3D visualization tool with a parallel distributed architecture, which is being extended to support the geodesic grid used

  5. TWP Island Cloud Trail Studies

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

    These island cloud trails have been observed from both the islands of Nauru and Manus, Papua New Guinea. Figure 2 shows an island cloud at Manus observed from MTI and from the ...

  6. Research Highlight

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

    Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate? Submitter: Prenni, A. J., Colorado State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Prenni, A. J., J. Y. Harrington, M. Tjernstrom, P. J. DeMott, A. Avramov, C. N. Long, S. M. Kreidenweis, P. Q. Olsson, and J. Verlinde, (2006): Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate?, BAMS, Vol.88, Iss. 4; pg. 541-550. ACIA, 2004: Impacts of a Warming

  7. Research Highlight

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

    Structure of Cirrus Properties and Its Coupling with the State of the Large-Scale Atmosphere Download a printable PDF Submitter: Ivanova, K., Pennsylvania State University Ackerman, T. P., University of Washington Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Ivanova K and TP Ackerman. 2009. "Tracking nucleation-growth-sublimation in cirrus clouds using ARM millimeter wavelength radar observations." Journal of

  8. Research Highlight

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

    Thawing the Mystery of Extra Ice Crystals Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Ovchinnikov, M., Pacific Northwest National Laboratory Comstock, J. M., Pacific Northwest National Laboratory McFarlane, S. A., U.S. Department of Energy Khain, A., The Hebrew University of Jerusalem Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Fan J, M Ovtchinnikov, JM Comstock, SA McFarlane, and A Khain.

  9. Research Highlight

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

    Improving Cloud Parameterizations in Climate Models: Implications from CAM3 and WRF Simulations Download a printable PDF Submitter: Wang, W., Pacific Northwest National Laboratory Liu, X., University of Wyoming Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Wang W, X Liu, S Xie, J Boyle, and SA McFarlane. 2009. "Testing ice microphysics parameterizations in the NCAR Community Atmospheric Model Version 3

  10. Research Highlight

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

    Global Variability of Mesoscale Convective System Anvil Structure from A-train Satellite Data Submitter: Yuan, J., Nanjing University 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

  11. Research Highlight

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

    CCN Activity and Mixing Rules of Isoprene Secondary Organic Aerosol (SOA) and Sulfate Download a printable PDF Submitter: Martin, S. T., Harvard University Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: King SM, T Rosenoern, JH Shilling, Q Chen, Z Wang, G Biskos, KA McKinney, U Poeschl, and ST Martin. 2010. "Cloud droplet activation of mixed organic-sulfate particles produced by the photooxidation of

  12. Research Highlight

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

    Increased Accuracy for Sky Imager Retrievals Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES 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

  13. Research Highlight

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

    Estimating the Ice Crystal Enhancement Factor in the Tropics Download a printable PDF Submitter: Zeng, X., Morgan State University GSFC, N., NASA GSFC Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Zeng X, W Tao, T Matsui, S Xie, S Lang, M Zhang, DO Starr, and X Li. 2011. "Estimating the ice crystal enhancement factor in the tropics." Journal of the

  14. Research Highlight

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

    Modeling the Sensitivity of Convection to Tropospheric Humidity Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Del Genio AD. 2011. "Representing the sensitivity of convective cloud systems to tropospheric humidity in general circulation models." Surveys in Geophysics, , doi:10.1007/s10712-011-9148-9.

  15. Research Highlight

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

    The Birth of a Cloud Droplet Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Ghan SJ, H Abdul-Razzak, A Nenes, Y Ming, X Liu, M Ovchinnikov, B Shipway, N Meskhidze, J Xu, and X Shi. 2011. "Droplet nucleation: Physically-based parameterizations and comparative evaluation." Journal of Advances

  16. Research Highlight

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

    First-of-Its-Kind Intercomparison Study Highlights Needed Improvements in Atmospheric Models Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Petch J, A Hill, L Davies, A Fridlind, C Jakob, Y Lin, S Xie, and P Zhu. 2013. "Evaluation of intercomparisons of four different

  17. 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 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,

  18. Research Highlight

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

    Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate Download a printable PDF Submitter: Laskin, A., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Aerosol Life Cycle Journal Reference: Hiranuma N, SD Brooks, RC Moffet, A Glen, A Laskin, MK Gilles, P Liu, AM Macdonald, JW Strapp, and GM McFarquhar. 2013. "Chemical characterization of individual particles and

  19. Research Highlight

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

    Most Systematic Errors in Climate Models Appear in Only a Few Days of Model Integration Download a printable PDF Submitter: Ma, H., Lawrence Livermore National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Ma H, S Xie, SA Klein, KD Williams, JS Boyle, S Bony, H Douville, S Fermepin, B Medeiros, S Tyteca, M Watanabe, and DL Williamson. 2014. "On the correspondence between mean forecast errors and climate errors in

  20. 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 Thermodynamics and Vertical Structures Working Group(s): Cloud Modeling Journal Reference: Jensen, M.P., A. Del Genio, Radiative and Microphysical Characteristics of Deep Convective System in the Tropical Western Pacific, Journal of Applied Meteorology, Vol. 42, No. 9, pp. 1234-1254. Deep convective systems (often referred to as

  1. Research Highlight

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

    On the Right Track for Tropical Clouds Download a printable PDF Submitter: Hagos, S. M., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Hagos SM, Z Feng, K Landu, and C Long. 2014. "Advection, moistening, and shallow-to-deep convection transitions during the initiation and propagation of Madden-Julian Oscillation." Journal of Advances in Earth System

  2. Research Highlight

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

    A Comprehensive Parameterization of Heterogeneous Ice Nucleation of Dust Surrogate Download a printable PDF Submitter: Zhang, K., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Hiranuma N, M Paukert, I Steinke, K Zhang, G Kulkarni, C Hoose, M Schnaiter, H Saathoff, and O Möhler. 2014. "A comprehensive parameterization of heterogeneous ice nucleation of dust

  3. Research Highlight

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

    Single Particle Database of Natural Ice Crystals: Dimensions and Aspect Ratios 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): Cloud Life Cycle Journal Reference: Um J, GM McFarquhar, Y Hong, S Lee, C Jung, R Lawson, and Q Mo. 2015. "Dimensions and aspect ratios of natural ice crystals." Atmospheric Chemistry and Physics, 15,

  4. Research Highlight

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

    KDP Columns: Characterizing Deep Thunderstorm Updrafts Using Polarimetric Radar Download a printable PDF Submitter: van Lier-Walqui, M., NASA Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: van Lier-Walqui M, AM Fridlind, AS Ackerman, S Collis, J Helmus, DR MacGorman, K North, P Kollias, and DJ Posselt. 2015. "On polarimetric radar signatures

  5. Research Highlight

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

    A "Little" Respect: Droplet Nucleation Finally Included in Global Climate Model Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: N/A Reflection of sunlight by clouds simulated with predicted droplet number with (dark blue) and without (green) the autoconversion feedback agrees remarkably well with the reflection

  6. Research Highlight

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

    Ensemble-Constrained Variational Analysis of Atmospheric Forcing Data and Its Application Download a printable PDF Submitter: Zhang, M., Stony Brook University Tang, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Tang S, M Zhang, and S Xie. 2016. "An ensemble constrained variation alanalysis of atmospheric forcing data and its application to evaluate clouds in

  7. Research Highlight

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

    Back to Basics: Theoretical Studies on Storm Clouds and Implications for Modeling Download a printable PDF Submitter: Morrison, H. C., NCAR Lebo, Z., University of Wyoming Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Morrison H. 2016. "Impacts of Updraft Size and Dimensionality on the Perturbation Pressure and Vertical Velocity in Cumulus Convection. Part II: Comparison of Theoretical and Numerical Solutions and Fully Dynamical Simulations."

  8. Research Highlight

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

    Pollution from a Megacity in the Amazon: the Case of Manaus, Brazil PI Contact: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Martin ST, P Artaxo, L Machado, AO Manzi, RA Souza, C Schumacher, J Wang, MO Andreae, HJ Barbosa, J Fan, G Fisch, AH Goldstein, A Guenther, JL Jimenez, U Poschl, MA Silva Dias, J Smith, and M Wendisch. 2016. "Introduction:

  9. ARM - Measurement - Images of Clouds

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

    govMeasurementsImages of Clouds 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 : Images of Clouds Digital images of cloud scenes (various formats) from satellite, aircraft, and ground-based platforms. 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

  10. ARM - Measurement - Total cloud water

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

    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

  11. pCloud: A Cloud-based Power Market Simulation Environment

    SciTech Connect (OSTI)

    Rudkevich, Aleksandr; Goldis, Evgeniy

    2012-12-02

    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

  12. Scanning ARM Cloud Radars Part I: Operational Sampling Strategies

    SciTech Connect (OSTI)

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

    2014-03-01

    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.

  13. A TWP-ICE High-Level Cloud Case Study

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

    and high-level cloud data set that will increase our understanding of the processes that result in the formation and maintenance of tropical anvils and extended cirrus layers. ...

  14. Cloud Droplet Spectral Shape Sheds New Light on Aerosol- Cloud-Interaction Regimes

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

    Droplet Spectral Shape Sheds New Light on Aerosol- Cloud-Interaction Regimes For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Despite decades of research, aerosol indirect effects remain among the most uncertain climate forcings according to the latest Intergovernmental Panel on Climate Change report. Furthermore, climate models tend to overestimate the cooling of aerosol indirect effects and are more susceptible than

  15. First observations of tracking clouds using scanning ARM cloud radars

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (‘‘first echo’’). These measurements complement cloud and precipitation tracking using geostationary satellites and weather radars. Here, two-dimensional (2-D) Along-Wind Range Height Indicator (AW-RHI) observations of a population of shallow cumuli (with and without precipitation) from the 35-GHz scanning ARM cloud radar (SACR) at the DOE Atmospheric Radiation Measurements (ARM) program Southern Great Plains (SGP) site are presented. Observations from the ARM SGP network of scanning precipitation radars are used to provide the larger scale context of the cloud fieldmore » and to highlight the advantages of the SACR to detect the numerous, small, non-precipitating cloud elements. A new Cloud Identification and Tracking Algorithm (CITA) is developed to track cloud elements. In CITA, a cloud element is identified as a region having a contiguous set of pixels exceeding a preset reflectivity and size threshold. The high temporal resolution of the SACR 2-D observations (30 sec) allows for an area superposition criteria algorithm to match cloud elements at consecutive times. Following CITA, the temporal evolution of cloud element properties (number, size, and maximum reflectivity) is presented. The vast majority of the designated elements during this cumulus event were short-lived non-precipitating clouds having an apparent life cycle shorter than 15 minutes. The advantages and disadvantages of cloud tracking using an SACR are discussed.« less

  16. Sensitivity of CAM5-Simulated Arctic Clouds and Radiation to Ice Nucleation Parameterization

    SciTech Connect (OSTI)

    Xie, Shaocheng; Liu, Xiaohong; Zhao, Chuanfeng; Zhang, Yuying

    2013-08-01

    Sensitivity of Arctic clouds and radiation in the Community Atmospheric Model version 5 to the ice nucleation process is examined by testing a new physically based ice nucleation scheme that links the variation of ice nuclei (IN) number concentration to aerosol properties. The default scheme parameterizes the IN concentration simply as a function of ice supersaturation. The new scheme leads to a significant reduction in simulated IN number concentrations at all latitudes while changes in cloud amount and cloud properties are mainly seen in high latitudes and middle latitude storm tracks. In the Arctic, there is a considerable increase in mid-level clouds and a decrease in low clouds, which result from the complex interaction among the cloud macrophysics, microphysics, and the large-scale environment. The smaller IN concentrations result in an increase in liquid water path and a decrease in ice water path due to the slow-down of the Bergeron-Findeisen process in mixed-phase clouds. Overall, there is an increase in the optical depth of Arctic clouds, which leads to a stronger cloud radiative forcing (net cooling) at the top of the atmosphere. The comparison with satellite data shows that the new scheme slightly improves low cloud simulations over most of the Arctic, but produces too many mid-level clouds. Considerable improvements are seen in the simulated low clouds and their properties when compared to Arctic ground-based measurements. Issues with the observations and the model-observation comparison in the Arctic region are discussed.

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

    SciTech Connect (OSTI)

    Not Available

    1992-12-31

    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.

  18. Evaluation of high-level clouds in cloud resolving model simulations...

    Office of Scientific and Technical Information (OSTI)

    Title: Evaluation of high-level clouds in cloud resolving model simulations with ARM and KWAJEX observations: HIGH CLOUD IN CRM Authors: Liu, Zheng 1 ; Muhlbauer, Andreas 2 ; ...

  19. ARM - PI Product - AERIoe Thermodynamic Profile and Cloud Retrieval for

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

    MC3E Garber X-band site (I5) Garber X-band site (I5) 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 PI Product : AERIoe Thermodynamic Profile and Cloud Retrieval for MC3E Garber X-band site (I5) [ ARM research ] The AERIoe algorithm retrieves profiles of temperature and water vapor mixing ratio, together with cloud properties for a single-layer cloud (i.e., LWP, effective radius), from AERI-observed infrared

  20. ARM - PI Product - AERIoe Thermodynamic Profile and Cloud Retrieval for

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

    MC3E Lamont X-band site (I6) Lamont X-band site (I6) 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 PI Product : AERIoe Thermodynamic Profile and Cloud Retrieval for MC3E Lamont X-band site (I6) [ ARM research ] The AERIoe algorithm retrieves profiles of temperature and water vapor mixing ratio, together with cloud properties for a single-layer cloud (i.e., LWP, effective radius), from AERI-observed infrared

  1. Modeling Incoherent Electron Cloud Effects

    SciTech Connect (OSTI)

    Vay, Jean-Luc; Benedetto, E.; Fischer, W.; Franchetti, G.; Ohmi, K.; Schulte, D.; Sonnad, K.; Tomas, R.; Vay, J.-L.; Zimmermann, F.; Rumolo, G.; Pivi, M.; Raubenheimer, T.

    2007-06-18

    Incoherent electron effects could seriously limit the beam lifetime in proton or ion storage rings, such as LHC, SPS, or RHIC, or blow up the vertical emittance of positron beams, e.g., at the B factories or in linear-collider damping rings. Different approaches to modeling these effects each have their own merits and drawbacks. We describe several simulation codes which simplify the descriptions of the beam-electron interaction and of the accelerator structure in various different ways, and present results for a toy model of the SPS. In addition, we present evidence that for positron beams the interplay of incoherent electron-cloud effects and synchrotron radiation can lead to a significant increase in vertical equilibrium emittance. The magnitude of a few incoherent e+e- scattering processes is also estimated. Options for future code development are reviewed.

  2. Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer

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

    Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington T. Besnard ATMOS SARL Le Mans, France D. Gillotay Institute d'Aeronomie Spatiale de Belgique Brussels, Belgium Introduction In the effort to resolve uncertainties about global climate change, the Atmospheric Radiation Measurement (ARM) Program (www.arm.gov) is improving the treatment of cloud radiative forcing and feedbacks in general

  3. An Analysis of Cloud Absorption During

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

    Analysis of Cloud Absorption During ARESE II (Spring 2000) D. M. Powell, R. T. Marchand, and T. P. Ackerman Pacific Northwest National Laboratory Richland, Washington Introduction In early spring 2000, Atmospheric Radiation Measurement (ARM) Program researchers held an intensive operational period (IOP) at the ARM Southern Great Plains (SGP) site. This IOP had several objectives, one of which was to was to re-evaluate (with redundant measurements wherever possible) absorption by low-level

  4. Atmospheric Radiation Measurement Tropical Warm Pool International Cloud Experiment

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

    Tropical Warm Pool International Cloud Experiment General Description The Tropical Warm Pool - International Cloud Experiment (TWP-ICE) was a collaborative effort led by the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Program and the Australian Bureau of Meteorology. Beginning January 21 and ending February 14, 2006, the experiment was conducted in the region near the ARM Climate Research Facility in Darwin, Northern Australia. This permanent facility is fully equipped

  5. Cloud and Precipitation Fields Around Darwin in the Transition Season

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

    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

  6. Parametric Behaviors of CLUBB in Simulations of Low Clouds in the Community Atmosphere Model (CAM)

    SciTech Connect (OSTI)

    Guo, Zhun; Wang, Minghuai; Qian, Yun; Larson, Vincent E.; Ghan, Steven J.; Ovchinnikov, Mikhail; Bogenschutz, Peter; Gettelman, A.; Zhou, Tianjun

    2015-07-03

    In this study, we investigate the sensitivity of simulated low clouds to 14 selected tunable parameters of Cloud Layers Unified By Binormals (CLUBB), a higher order closure (HOC) scheme, and 4 parameters of the Zhang-McFarlane (ZM) deep convection scheme in the Community Atmosphere Model version 5 (CAM5). A quasi-Monte Carlo (QMC) sampling approach is adopted to effectively explore the high-dimensional parameter space and a generalized linear model is applied to study the responses of simulated cloud fields to tunable parameters. Our results show that the variance in simulated low-cloud properties (cloud fraction and liquid water path) can be explained by the selected tunable parameters in two different ways: macrophysics itself and its interaction with microphysics. First, the parameters related to dynamic and thermodynamic turbulent structure and double Gaussians closure are found to be the most influential parameters for simulating low clouds. The spatial distributions of the parameter contributions show clear cloud-regime dependence. Second, because of the coupling between cloud macrophysics and cloud microphysics, the coefficient of the dissipation term in the total water variance equation is influential. This parameter affects the variance of in-cloud cloud water, which further influences microphysical process rates, such as autoconversion, and eventually low-cloud fraction. This study improves understanding of HOC behavior associated with parameter uncertainties and provides valuable insights for the interaction of macrophysics and microphysics.

  7. First observations of tracking clouds using scanning ARM cloud...

    Office of Scientific and Technical Information (OSTI)

    These measurements complement cloud and precipitation tracking using geostationary satellites and weather radars. Here, two-dimensional (2-D) Along-Wind Range Height Indicator ...

  8. TURBULENCE DECAY AND CLOUD CORE RELAXATION IN MOLECULAR CLOUDS

    SciTech Connect (OSTI)

    Gao, Yang; Law, Chung K.; Xu, Haitao

    2015-02-01

    The turbulent motion within molecular clouds is a key factor controlling star formation. Turbulence supports molecular cloud cores from evolving to gravitational collapse and hence sets a lower bound on the size of molecular cloud cores in which star formation can occur. On the other hand, without a continuous external energy source maintaining the turbulence, such as in molecular clouds, the turbulence decays with an energy dissipation time comparable to the dynamic timescale of clouds, which could change the size limits obtained from Jean's criterion by assuming constant turbulence intensities. Here we adopt scaling relations of physical variables in decaying turbulence to analyze its specific effects on the formation of stars. We find that the decay of turbulence provides an additional approach for Jeans' criterion to be achieved, after which gravitational infall governs the motion of the cloud core. This epoch of turbulence decay is defined as cloud core relaxation. The existence of cloud core relaxation provides a more complete understanding of the effect of the competition between turbulence and gravity on the dynamics of molecular cloud cores and star formation.

  9. Exploring Stratocumulus Cloud-Top Entrainment Processes

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

    Exploring STEM in Florida Exploring STEM in Florida August 24, 2015 - 10:18am Addthis A Mentoring Table at the West Palm Beach STEM Cafe A Mentoring Table at the West Palm Beach STEM Cafe Crossposted from the South Florida Science Center and Aquarium Blog on 8.19.2015 Combine an awesome group of students, scientists, coffee and plenty of inspiration and you'll have the necessary ingredients that made our inaugural STEM Mentoring Café a great success! The STEM Mentoring Café is run in

  10. In Situ Airborne Instrumentation: Addressing and Solving Measurement Problems in Ice Clouds

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Baumgardner, Darrel; Kok, Greg; Avallone, L.; Bansemer, A.; Borrmann, S.; Brown, P.; Bundke, U.; Chuang, P. Y.; Cziczo, D.; Field, P.; et al

    2012-02-01

    A meeting of 31 international experts on in situ measurements from aircraft was held to identify unresolved questions concerning ice formation and evolution in ice clouds, assess the current state of instrumentation that can address these problems, introduce emerging technology that may overcome current measurement issues and recommend future courses of action that can improve our understanding of ice cloud microphysical processes and their impact on the environment. The meeting proceedings and outcome has been described in detail in a manuscript submitted to the Bulletin of the American Meteorological Society (BAMS) on March 24, 2011. This paper is currently undermore » review. The remainder of this summary, in the following pages, is the text of the BAMS article. A technical note that will be published by the National Center for Atmospheric Research is currently underway and is expected to be published before the end of the year.« less

  11. In Situ Airborne Instrumentation: Addressing and Solving Measurement Problems in Ice Clouds

    SciTech Connect (OSTI)

    Baumgardner, Darrel; Kok, Greg; Avallone, L.; Bansemer, A.; Borrmann, S.; Brown, P.; Bundke, U.; Chuang, P. Y.; Cziczo, D.; Field, P.; Gallagher, M.; Gayet, J. -F.; Korolev, A.; Kraemer, M.; McFarquhar, G.; Mertes, S.; Moehler, O.; Lance, S.; Lawson, P.; Petters, M. D.; Pratt, K.; Roberts, G.; Rogers, D.; Stetzer, O.; Stith, J.; Strapp, W.; Twohy, C.; Wendisch, M.

    2012-02-01

    A meeting of 31 international experts on in situ measurements from aircraft was held to identify unresolved questions concerning ice formation and evolution in ice clouds, assess the current state of instrumentation that can address these problems, introduce emerging technology that may overcome current measurement issues and recommend future courses of action that can improve our understanding of ice cloud microphysical processes and their impact on the environment. The meeting proceedings and outcome has been described in detail in a manuscript submitted to the Bulletin of the American Meteorological Society (BAMS) on March 24, 2011. This paper is currently under review. The remainder of this summary, in the following pages, is the text of the BAMS article. A technical note that will be published by the National Center for Atmospheric Research is currently underway and is expected to be published before the end of the year.

  12. Investigation of warm-cloud microphysics using a multi-component cloud model: Interactive effects of the aerosol spectrum. Master's thesis

    SciTech Connect (OSTI)

    Zahn, S.G.

    1993-12-01

    Clouds, especially low, warm, boundary-layer clouds, play an important role in regulating the earth's climate due to their significant contribution to the global albedo. The radiative effects of individual clouds are controlled largely by cloud microstructure, which is itself sensitive to the concentration and spectral distribution of the atmospheric aerosol. Increases in aerosol particle concentrations from anthropogenic activity could result in increased cloud albedo and global cloudiness, increasing the amount of reflected solar radiation. However, the effects of increased aerosol particle concentrations could be offset by the presence of giant or ultragiant aerosol particles. A one-dimensional, multi-component microphysical cloud model has been used to demonstrate the effects of aerosol particle spectral variations on the microstructure of warm clouds. Simulations performed with this model demonstrate that the introduction of increased concentrations of giant aerosol particles has a destabilizing effect on the cloud microstructure. Also, it is shown that warm-cloud microphysical processes modify the aerosol particle spectrum, favoring the generation of the largest sized particles via the collision-coalescence process. These simulations provide further evidence that the effect of aerosol particles on cloud microstructure must be addressed when considering global climate forecasts.

  13. ARM Climate Research Facility Annual Report 2004

    SciTech Connect (OSTI)

    Voyles, J.

    2004-12-31

    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.

  14. Enhanced Geothermal Systems Research and Development: Models of Subsurface Chemical Processes Affecting Fluid Flow

    SciTech Connect (OSTI)

    Moller, Nancy; Weare J. H.

    2008-05-29

    Successful exploitation of the vast amount of heat stored beneath the earth’s surface in hydrothermal and fluid-limited, low permeability geothermal resources would greatly expand the Nation’s domestic energy inventory and thereby promote a more secure energy supply, a stronger economy and a cleaner environment. However, a major factor limiting the expanded development of current hydrothermal resources as well as the production of enhanced geothermal systems (EGS) is insufficient knowledge about the chemical processes controlling subsurface fluid flow. With funding from past grants from the DOE geothermal program and other agencies, we successfully developed advanced equation of state (EOS) and simulation technologies that accurately describe the chemistry of geothermal reservoirs and energy production processes via their free energies for wide XTP ranges. Using the specific interaction equations of Pitzer, we showed that our TEQUIL chemical models can correctly simulate behavior (e.g., mineral scaling and saturation ratios, gas break out, brine mixing effects, down hole temperatures and fluid chemical composition, spent brine incompatibilities) within the compositional range (Na-K-Ca-Cl-SO4-CO3-H2O-SiO2-CO2(g)) and temperature range (T < 350°C) associated with many current geothermal energy production sites that produce brines with temperatures below the critical point of water. The goal of research carried out under DOE grant DE-FG36-04GO14300 (10/1/2004-12/31/2007) was to expand the compositional range of our Pitzer-based TEQUIL fluid/rock interaction models to include the important aluminum and silica interactions (T < 350°C). Aluminum is the third most abundant element in the earth’s crust; and, as a constituent of aluminosilicate minerals, it is found in two thirds of the minerals in the earth’s crust. The ability to accurately characterize effects of temperature, fluid mixing and interactions between major rock-forming minerals and hydrothermal and

  15. Cumulus Clouds and Reflected Sunlight

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

    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

  16. Volume Reduction Research and Development Project (VORRP): Utilizing the TRUclean process: (Technical paper), September 2, 1986-September 30, 1987

    SciTech Connect (OSTI)

    Sunderland, N.R.

    1987-09-30

    This research was undertaken to determine if the AWC TRUclean process could remove radioactive contamination from differing soil matrices that were submitted by participating sites from around the nation. The TRUclean process removed plutonium from coral derived soil. Interest developed in applying the process to other radioactive contaminants and soil types. Soils from the Nevada Test Site (NTS); Rocky Flats Plant (RFP) in Colorado; FUSRAP site at Hazelwood, Missouri; Monsanto-Mound site in Ohio, and the Ft. Dix site in New Jersey were tested. The TRUclean process was able to effectively decontaminate soils and concentrate the contamination into a substantially smaller volume than the original soil. 14 refs., 6 figs.

  17. ARM - Measurement - Cloud ice particle

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

    : Lear Jet PARTIMG : Particle imager UAV-PROTEUS-MICRO : Proteus Cloud Microphysics ... particle imager MET : Surface Meteorological Instrumentation UAV-PROTEUS : UAV Proteus

  18. ARM - Measurement - Cloud condensation nuclei

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

    AOS : Aerosol Observing System CCN : Cloud Condensation Nuclei Particle Counter TDMA : Tandem Differential Mobility Analyzer Field Campaign Instruments AMT : Aerosol Modeling...

  19. ARM - Measurement - Cloud top height

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

    RUC : Rapid Update Cycle Model Data Field Campaign Instruments CO2LIDAR : Carbon Dioxide Doppler Lidar MPLCMASK : Cloud mask from Micropulse Lidar VARANAL : Constrained...

  20. Cloud radar Doppler spectra in drizzling stratiform clouds: 2. Observations and microphysical modeling of drizzle evolution

    SciTech Connect (OSTI)

    Kollias, P.; Luke, E.; Szyrmer, W.; Rmillard, J.

    2011-07-02

    In part I, the influence of cloud microphysics and dynamics on the shape of cloud radar Doppler spectra in warm stratiform clouds was discussed. The traditional analysis of radar Doppler moments was extended to include skewness and kurtosis as additional descriptors of the Doppler spectrum. Here, a short climatology of observed Doppler spectra moments as a function of the radar reflectivity at continental and maritime ARM sites is presented. The evolution of the Doppler spectra moments is consistent with the onset and growth of drizzle particles and can be used to assist modeling studies of drizzle onset and growth. Time-height radar observations are used to exhibit the coherency of the Doppler spectra shape parameters and demonstrate their potential to improve the interpretation and use of radar observations. In addition, a simplified microphysical approach to modeling the vertical evolution of the drizzle particle size distribution in warm stratiform clouds is described and used to analyze the observations. The formation rate of embryonic drizzle droplets due to the autoconversion process is not calculated explicitly; however, accretion and evaporation processes are explicitly modeled. The microphysical model is used as input to a radar Doppler spectrum forward model, and synthetic radar Doppler spectra moments are generated. Three areas of interest are studied in detail: early drizzle growth near the cloud top, growth by accretion of the well-developed drizzle, and drizzle depletion below the cloud base due to evaporation. The modeling results are in good agreement with the continental and maritime observations. This demonstrates that steady state one-dimensional explicit microphysical models coupled with a forward model and comprehensive radar Doppler spectra observations offer a powerful method to explore the vertical evolution of the drizzle particle size distribution.