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


1

Distribution and Validation of Cloud Cover Derived from AVHRR Data Over the Arctic Ocean During the SHEBA Year  

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

and Validation of Cloud Cover and Validation of Cloud Cover Derived from AVHRR Data Over the Arctic Ocean During the SHEBA Year P. Minnis National Aeronautics and Space Administration Langley Research Center Hampton, Virginia D. A. Spangenberg and V. Chakrapani Analytical Services and Materials, Inc. Hampton, Virginia Introduction Determination of cloud radiation interactions over large areas of the Arctic is possible only with the use of data from polar orbiting satellites. Cloud detection using satellite data is difficult in the Arctic due to the minimal contrast between clouds and the underlying snow surface in visible and infrared wavelengths. Polar clouds are frequently warmer or at the same brightness temperature as the background surface, complicating cloud detection. The brightness temperature differences between the

2

Nighttime Cloud Detection Over the Arctic Using AVHRR Data  

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

Cloud Detection Over the Arctic Cloud Detection Over the Arctic Using AVHRR Data D. A. Spangenberg, D. R. Doelling, and V. Chakrapani Analytical Services & Materials, Inc. Hampton, Virginia P. Minnis National Aeronautics and Space Administration Hampton, Virginia T. Uttal National Oceanic and Atmospheric Administration Boulder, Colorado Introduction Clouds play an important role in the Arctic energy budget. The magnitude and significance of the radiative impact of polar clouds, however, are not well known. Polar nocturnal clouds are often warmer or at the same temperature as the background snow surface, complicating cloud detection. Also, these clouds tend to be thin, with lower emittances than clouds occurring during the summer. Using only the infrared (IR) channels of satellite data to characterize cloud amount and distribution in the Arctic is

3

Woodgate, Arctic Ocean Circulation Page 1:13 February 2012 ARCTIC OCEAN CIRCULATION  

E-Print Network [OSTI]

deep) Bering Strait, through which about 0.8Sv (1Sv=106 m3 s-1 ) of water enters the Arctic. Properties: 206-221-3268 Accepted for Nature Education Knowledge Project, May 2012 Welcome to the Arctic Ocean Circle, contains deep (~ 4500m) basins, the slowest spreading ridges in the world, and about 15

Washington at Seattle, University of

4

ALUMINUM DISTRIBUTIONSIN THE EURASIAN BASIN OF THE ARCTIC OCEAN  

E-Print Network [OSTI]

ALUMINUM DISTRIBUTIONSIN THE EURASIAN BASIN OF THE ARCTIC OCEAN A THESISSUBMITTEDTO THE GRADUATE Section(1994)cruiseswere analyzed for their aluminum (Al) content; these two data setswere then combined

Luther, Douglas S.

5

Towards a Characterization of Arctic Mixed-Phase Clouds  

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

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

6

ScienceMatters Arctic Ocean  

E-Print Network [OSTI]

into the ocean. The growth of marine algae is highest at the ice edge during the brief summer period when the ice of the marine food web, providing the main source of nourishment for fish and marine mammals. Algae also remove at molecular-level manufacturing as attempts to assemble LEGO pieces while wearing boxing gloves

Pedersen, Tom

7

On the Relationship between Thermodynamic Structure and Cloud Top, and Its Climate Significance in the Arctic  

E-Print Network [OSTI]

inside inversion (CII)] was frequently observed at central Arctic Ocean sites, while observations from- nitudes of surface cloud warming and cooling are de- pendent upon the solar zenith angle, surface albedo-D-11-00186.1 Ã? 2012 American Meteor

Shupe, Matthew

8

Intensification of Geostrophic Currents in the Canada Basin, Arctic Ocean  

Science Journals Connector (OSTI)

Continuous sampling of upper-ocean hydrographic data in the Canada Basin from various sources spanning from 2003 through 2011 provides an unprecedented opportunity to observe changes occurring in a major feature of the Arctic Ocean. In a 112-km-...

Miles G. McPhee

2013-05-01T23:59:59.000Z

9

E-Print Network 3.0 - arctic ocean sediments Sample Search Results  

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

sediments Search Powered by Explorit Topic List Advanced Search Sample search results for: arctic ocean sediments...

10

E-Print Network 3.0 - arctic ocean sediment Sample Search Results  

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

sediment Search Powered by Explorit Topic List Advanced Search Sample search results for: arctic ocean sediment...

11

E-Print Network 3.0 - arctic ocean archaeal Sample Search Results  

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

Switchyard. This is Ellesmere Island, here, next to Summary: to better understand the ocean currents that are moving in the Arctic Ocean towards the North Atlantic Ocean......

12

Floating Glacial Ice Caps in the Arctic Ocean  

Science Journals Connector (OSTI)

...obtained from isotopic studies of the Camp Century ice core. The second is based...obtained from isotopic studies of the Camp Century ice core. The second is based...Arctic Ocean Arctic region benthonic Camp Century Cenozoic cores deep-sea evidence...

Wallace S. Broecker

1975-06-13T23:59:59.000Z

13

E-Print Network 3.0 - arctic ocean freshwater Sample Search Results  

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

8. Forecasting Environmental Resilience of Arctic Freshwater Resources... and persistent ocean currents to feed energy ... Source: Wagner, Diane - Institute of Arctic Biology,...

14

Liquid layers were observed in the Mixed-Phase Arctic Cloud Experiment (M-PACE) at temperatures down to 30C.  

E-Print Network [OSTI]

down to ­30°C. S ignificant and interrelated atmospheric, oceanic, and terrestrial changes have been to be related to complex feedback processes unique to the Arctic. Arctic clouds have been identified | #12;playing a central role in several hypothesized feed- back processes (Curry et al. 1996; Vavrus

Eloranta, Edwin W.

15

E-Print Network 3.0 - arctic ocean expedition Sample Search Results  

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

Arctic will lead to a better understanding of how the Summary: between the U.S. and Russia began with the expedition of the Bering and Chukchi Seas ( Arctic Ocean... . Arctic...

16

Analysis of two independent methods for retrieving liquid water profiles in spring and summer Arctic boundary clouds  

E-Print Network [OSTI]

-based remote sensing, optimal estimation, LES model with explicit microphysics, cloud liquid water algorithms Heat Budget of the Arctic Ocean (SHEBA) project. An algorithm developed by Frisch et al. [1995, 1998 matrix of the LWC profile is calculated, an optimal estimation method is applied to the SHEBA data

Shupe, Matthew

17

Preliminary Geospatial Analysis of Arctic Ocean Hydrocarbon Resources  

SciTech Connect (OSTI)

Ice coverage of the Arctic Ocean is predicted to become thinner and to cover less area with time. The combination of more ice-free waters for exploration and navigation, along with increasing demand for hydrocarbons and improvements in technologies for the discovery and exploitation of new hydrocarbon resources have focused attention on the hydrocarbon potential of the Arctic Basin and its margins. The purpose of this document is to 1) summarize results of a review of published hydrocarbon resources in the Arctic, including both conventional oil and gas and methane hydrates and 2) develop a set of digital maps of the hydrocarbon potential of the Arctic Ocean. These maps can be combined with predictions of ice-free areas to enable estimates of the likely regions and sequence of hydrocarbon production development in the Arctic. In this report, conventional oil and gas resources are explicitly linked with potential gas hydrate resources. This has not been attempted previously and is particularly powerful as the likelihood of gas production from marine gas hydrates increases. Available or planned infrastructure, such as pipelines, combined with the geospatial distribution of hydrocarbons is a very strong determinant of the temporal-spatial development of Arctic hydrocarbon resources. Significant unknowns decrease the certainty of predictions for development of hydrocarbon resources. These include: 1) Areas in the Russian Arctic that are poorly mapped, 2) Disputed ownership: primarily the Lomonosov Ridge, 3) Lack of detailed information on gas hydrate distribution, and 4) Technical risk associated with the ability to extract methane gas from gas hydrates. Logistics may control areas of exploration more than hydrocarbon potential. Accessibility, established ownership, and leasing of exploration blocks may trump quality of source rock, reservoir, and size of target. With this in mind, the main areas that are likely to be explored first are the Bering Strait and Chukchi Sea, in spite of the fact that these areas do not have highest potential for future hydrocarbon reserves. Opportunities for improving the mapping and assessment of Arctic hydrocarbon resources include: 1) Refining hydrocarbon potential on a basin-by-basin basis, 2) Developing more realistic and detailed distribution of gas hydrate, and 3) Assessing the likely future scenarios for development of infrastructure and their interaction with hydrocarbon potential. It would also be useful to develop a more sophisticated approach to merging conventional and gas hydrate resource potential that considers the technical uncertainty associated with exploitation of gas hydrate resources. Taken together, additional work in these areas could significantly improve our understanding of the exploitation of Arctic hydrocarbons as ice-free areas increase in the future.

Long, Philip E.; Wurstner, Signe K.; Sullivan, E. C.; Schaef, Herbert T.; Bradley, Donald J.

2008-10-01T23:59:59.000Z

18

Remote Sensing and In-Situ Observations of Arctic Mixed-Phase and Cirrus Clouds Acquired During Mixed-Phase Arctic Cloud Experiment: Atmospheric Radiation Measurement Uninhabited Aerospace Vehicle Participation  

SciTech Connect (OSTI)

The Atmospheric Radiation Monitor (ARM) uninhabited aerospace vehicle (UAV) program aims to develop measurement techniques and instruments suitable for a new class of high altitude, long endurance UAVs while supporting the climate community with valuable data sets. Using the Scaled Composites Proteus aircraft, ARM UAV participated in Mixed-Phase Arctic Cloud Experiment (M-PACE), obtaining unique data to help understand the interaction of clouds with solar and infrared radiation. Many measurements obtained using the Proteus were coincident with in-situ observations made by the UND Citation. Data from M-PACE are needed to understand interactions between clouds, the atmosphere and ocean in the Arctic, critical interactions given large-scale models suggest enhanced warming compared to lower latitudes is occurring.

McFarquhar, G.M.; Freer, M.; Um, J.; McCoy, R.; Bolton, W.

2005-03-18T23:59:59.000Z

19

An energy-diagnostics intercomparison of coupled ice-ocean Arctic models  

E-Print Network [OSTI]

An energy-diagnostics intercomparison of coupled ice-ocean Arctic models Petteri Uotila a,*, David are estimated based on results from six different coupled ice- ocean models. The components of the kinetic of potential and kinetic energies. The models produce arctic boundary undercurrents controlled by the non

Zhang, Jinlun

20

Draft Genome Sequence of Moritella dasanensis Strain ArB 0140, a Psychrophilic Bacterium Isolated from the Arctic Ocean  

Science Journals Connector (OSTI)

...isolated from the Arctic Ocean, exhibited ice-pitting...organism in the Arctic Ocean. Nucleotide sequence...described in this paper is the first version, AKXQ01000000...Delcher AL , KA Bratke, EC Powers, and SL Salzberg. 2007...isolated from the Arctic ocean. Int. J. Syst. Evol...

Sung Gu Lee; Hye Yeon Koh; Jun Hyuck Lee; Sung-Ho Kang; Hak Jun Kim

2012-10-01T23:59:59.000Z

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


21

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

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

22

Seasonal predictions of ice extent in the Arctic Ocean R. W. Lindsay,1  

E-Print Network [OSTI]

Service and the U. S. National Ice Center) produces summer outlooks of ice conditions for specific regionsSeasonal predictions of ice extent in the Arctic Ocean R. W. Lindsay,1 J. Zhang,1 A. J. Schweiger,1 29 February 2008. [1] How well can the extent of arctic sea ice be predicted for lead periods of up

Zhang, Jinlun

23

Moored observations of shelfbreak processes at the inflow to and outflow from the Arctic Ocean  

E-Print Network [OSTI]

Two high-resolution mooring arrays extending from the outer shelf to the mid continental slope are used to elucidate shelf-basin exchange at the inflow to and the outflow from the Arctic Ocean. Pacific Water entering the ...

Von Appen, Wilken-Jon

2013-01-01T23:59:59.000Z

24

Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data  

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

ARM/NSA Data to Validate and Improve the ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data X. Xiong QSS Group, Inc. National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service Office of Research and Applications Camp Springs, Maryland R. Storvold and C. Marty Geophysical Institute University of Alaska Fairbanks, Alaska K. H. Stamnes Stevens Institute of Technology Hoboken, New Jersey B. D. Zak Sandia National Laboratories Albuquerque, New Mexico Introduction Clouds in the Arctic have an important impact on the radiative energy balance. However, the effects of clouds still constitute one of the largest uncertainties in the study of climate change. Because the surface

25

Megatides in the Arctic Ocean under glacial conditions Stephen D. Griffiths,1  

E-Print Network [OSTI]

Megatides in the Arctic Ocean under glacial conditions Stephen D. Griffiths,1 and W. R. Peltier1's climate and ocean circulation. Citation: Griffiths, S. D., and W. R. Peltier (2008), Megatides occurred approx- imately 26,000 years ago, since the bathymetric changes are now well constrained [Peltier

Peltier, W. Richard

26

Contribution of oceanic gas hydrate dissociation to the formation of Arctic Ocean methane plumes  

SciTech Connect (OSTI)

Vast quantities of methane are trapped in oceanic hydrate deposits, and there is concern that a rise in the ocean temperature will induce dissociation of these hydrate accumulations, potentially releasing large amounts of carbon into the atmosphere. Because methane is a powerful greenhouse gas, such a release could have dramatic climatic consequences. The recent discovery of active methane gas venting along the landward limit of the gas hydrate stability zone (GHSZ) on the shallow continental slope (150 m - 400 m) west of Svalbard suggests that this process may already have begun, but the source of the methane has not yet been determined. This study performs 2-D simulations of hydrate dissociation in conditions representative of the Arctic Ocean margin to assess whether such hydrates could contribute to the observed gas release. The results show that shallow, low-saturation hydrate deposits, if subjected to recently observed or future predicted temperature changes at the seafloor, can release quantities of methane at the magnitudes similar to what has been observed, and that the releases will be localized near the landward limit of the GHSZ. Both gradual and rapid warming is simulated, along with a parametric sensitivity analysis, and localized gas release is observed for most of the cases. These results resemble the recently published observations and strongly suggest that hydrate dissociation and methane release as a result of climate change may be a real phenomenon, that it could occur on decadal timescales, and that it already may be occurring.

Reagan, M.; Moridis, G.; Elliott, S.; Maltrud, M.

2011-06-01T23:59:59.000Z

27

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

SciTech Connect (OSTI)

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

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

2014-11-17T23:59:59.000Z

28

Atlantic meridional overturning and climate response to Arctic Ocean W. R. Peltier,1  

E-Print Network [OSTI]

Atlantic meridional overturning and climate response to Arctic Ocean freshening W. R. Peltier,1 G to the response to North Atlantic freshening. Citation: Peltier, W. R., G. Vettoretti, and M. Stastna (2006 of the Atlantic by Heinrich Event 1 [Peltier, 2005]. Simi- larly, the onset of the Younger Dryas (Y-D) cold

Peltier, W. Richard

29

Relationship Between Arctic Clouds and Synoptic-Scale Variability  

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

the Alaskan coast (Curry et al. 1996; Intrieri et al. 1999). Cloud cover over the sea-ice typically maximizes in summer, whereas coastal Alaskan cloudiness typically maximizes...

30

Radiocarbon in particulate matter from the eastern sub-arctic Pacific Ocean; evidence of a source of terrestrial carbon to the deep sea.  

E-Print Network [OSTI]

THE EASTERN SUB-ARCTIC PACIFIC OCEAN: EVIDENCE OF A SOURCEfrom the deep Northeast Pacific Ocean. Due to the largeMap of the North Pacific Ocean (after Favorite, Dodimead &

Druffel, Ellen R M; Honju, Susumu; Griffin, Sheila; Wong, C S

1986-01-01T23:59:59.000Z

31

Global distribution of total cloud cover and cloud type amounts over the ocean  

SciTech Connect (OSTI)

This is the fourth of a series of atlases to result from a study of the global cloud distribution from ground-based observations. The first two atlases (NCAR/TN-201+STR and NCAR/TN-241+STR) described the frequency of occurrence of each cloud type and the co-occurrence of different types, but included no information about cloud amounts. The third atlas (NCAR/TN-273+STR) described, for the land areas of the earth, the average total cloud cover and the amounts of each cloud type, and their geographical, diurnal, seasonal, and interannual variations, as well as the average base heights of the low clouds. The present atlas does the same for the ocean areas of the earth.

Warren, S.G.; Hahn, C.J.; London, J.; Chervin, R.M.; Jenne, R.L. (Washington Univ., Seattle, WA (USA). Dept. of Atmospheric Sciences; Colorado Univ., Boulder, CO (USA). Cooperative Inst. for Research in Environmental Sciences; Colorado Univ., Boulder, CO (USA). Dept. of Astrophysical, Planetary, and Atmospheric Sciences; National Center for Atmospheric Research, Boulder, CO (USA))

1988-12-01T23:59:59.000Z

32

A Comparison of Atmospheric Reanalysis Products for the Arctic Ocean and Implications for Uncertainties in Air–Sea Fluxes  

E-Print Network [OSTI]

The uncertainties related to atmospheric fields in the Arctic Ocean from commonly used and recently available reanalysis products are investigated. Fields from the 1) ECMWF Interim Re-Analysis (ERA-Interim), 2) Common ...

Chaudhuri, Ayan H.

33

Simulating mixed-phase Arctic stratus clouds: sensitivity to ice initiation mechanisms  

SciTech Connect (OSTI)

The importance of Arctic mixed-phase clouds on radiation and the Arctic climate is well known. However, the development of mixed-phase cloud parameterization for use in large scale models is limited by lack of both related observations and numerical studies using multidimensional models with advanced microphysics that provide the basis for understanding the relative importance of different microphysical processes that take place in mixed-phase clouds. To improve the representation of mixed-phase cloud processes in the GISS GCM we use the GISS single-column model coupled to a bin resolved microphysics (BRM) scheme that was specially designed to simulate mixed-phase clouds and aerosol-cloud interactions. Using this model with the microphysical measurements obtained from the DOE ARM Mixed-Phase Arctic Cloud Experiment (MPACE) campaign in October 2004 at the North Slope of Alaska, we investigate the effect of ice initiation processes and Bergeron-Findeisen process (BFP) on glaciation time and longevity of single-layer stratiform mixed-phase clouds. We focus on observations taken during 9th-10th October, which indicated the presence of a single-layer mixed-phase clouds. We performed several sets of 12-h simulations to examine model sensitivity to different ice initiation mechanisms and evaluate model output (hydrometeors concentrations, contents, effective radii, precipitation fluxes, and radar reflectivity) against measurements from the MPACE Intensive Observing Period. Overall, the model qualitatively simulates ice crystal concentration and hydrometeors content, but it fails to predict quantitatively the effective radii of ice particles and their vertical profiles. In particular, the ice effective radii are overestimated by at least 50%. However, using the same definition as used for observations, the effective radii simulated and that observed were more comparable. We find that for the single-layer stratiform mixed-phase clouds simulated, process of ice phase initiation due to freezing of supercooled water in both saturated and undersaturated (w.r.t. water) environments is as important as primary ice crystal origination from water vapor. We also find that the BFP is a process mainly responsible for the rates of glaciation of simulated clouds. These glaciation rates cannot be adequately represented by a water-ice saturation adjustment scheme that only depends on temperature and liquid and solid hydrometeors contents as is widely used in bulk microphysics schemes and are better represented by processes that also account for supersaturation changes as the hydrometeors grow.

Sednev, Igor; Sednev, I.; Menon, S.; McFarquhar, G.

2008-02-18T23:59:59.000Z

34

Simulating mixed-phase Arctic stratus clouds: Sensitivity to ice initiationmechanisms  

SciTech Connect (OSTI)

The importance of Arctic mixed-phase clouds on radiation and the Arctic climate is well known. However, the development of mixed-phase cloud parameterization for use in large scale models is limited by lack of both related observations and numerical studies using multidimensional models with advanced microphysics that provide the basis for understanding the relative importance of different microphysical processes that take place in mixed-phase clouds. To improve the representation of mixed-phase cloud processes in the GISS GCM we use the GISS single-column model coupled to a bin resolved microphysics (BRM) scheme that was specially designed to simulate mixed-phase clouds and aerosol-cloud interactions. Using this model with the microphysical measurements obtained from the DOE ARM Mixed-Phase Arctic Cloud Experiment (MPACE) campaign in October 2004 at the North Slope of Alaska, we investigate the effect of ice initiation processes and Bergeron-Findeisen process (BFP) on glaciation time and longevity of single-layer stratiform mixed-phase clouds. We focus on observations taken during October 9th-10th, which indicated the presence of a single-layer mixed-phase clouds. We performed several sets of 12-hour simulations to examine model sensitivity to different ice initiation mechanisms and evaluate model output (hydrometeors concentrations, contents, effective radii, precipitation fluxes, and radar reflectivity) against measurements from the MPACE Intensive Observing Period. Overall, the model qualitatively simulates ice crystal concentration and hydrometeors content, but it fails to predict quantitatively the effective radii of ice particles and their vertical profiles. In particular, the ice effective radii are overestimated by at least 50%. However, using the same definition as used for observations, the effective radii simulated and that observed were more comparable. We find that for the single-layer stratiform mixed-phase clouds simulated, process of ice phase initiation due to freezing of supercooled water in both saturated and subsaturated (w.r.t. water) environments is as important as primary ice crystal origination from water vapor. We also find that the BFP is a process mainly responsible for the rates of glaciation of simulated clouds. These glaciation rates cannot be adequately represented by a water-ice saturation adjustment scheme that only depends on temperature and liquid and solid hydrometeors contents as is widely used in bulk microphysics schemes and are better represented by processes that also account for supersaturation changes as the hydrometeors grow.

Sednev, I.; Menon, S.; McFarquhar, G.

2009-04-10T23:59:59.000Z

35

Microphysical Properties of Single and Mixed-Phase Arctic Clouds...  

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

droplets in liquid-only and mid-phase clouds, a lack of temperature dependence in the ice fraction for temperatures above 240 K, seasonal trends in the optical depth with the...

36

A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010  

Science Journals Connector (OSTI)

Active remote sensing instruments such as lidar and radar allow one to accurately detect the presence of clouds and give information on their vertical structure and phase. To better address cloud radiative impact over the Arctic area, a combined ...

Yann Blanchard; Jacques Pelon; Edwin W. Eloranta; Kenneth P. Moran; Julien Delanoë; Geneviève Sèze

2014-11-01T23:59:59.000Z

37

Multiangle Observations of Arctic Clouds from FIRE ACE: June 3, 1998 Case Study  

SciTech Connect (OSTI)

In May and June 1998 the Airborne Multiangle Imaging Spectroradiometer (AirMISR) participated in the FIRE Arctic Cloud Experiment (ACE). AirMISR is an airborne instrument for obtaining multiangle imagery similar to that of the satellite-borne MISR instrument. This paper presents a detailed analysis of the data collected on June 3, 1998. In particular, AirMISR radiance measurements are compared with measurements made by two other instruments, the Cloud Absorption Radiometer (CAR) and the MODIS airborne simulator (MAS), as well as to plane-parallel radiative transfer simulations. It is found that the AirMISR radiance measurements and albedo estimates compare favorably both with the other instruments and with the radiative transfer simulations. In addition to radiance and albedo, the multiangle AirMISR data can be used to obtain estimates of cloud top height using stereoimaging techniques. Comparison of AirMISR retrieved cloud top height (using the complete MISR-based stereoimaging approach) shows excellent agreement with the measurements from the airborne Cloud Lidar System (CLS) and ground-based millimeter-wave cloud radar.

Marchand, Roger T.; Ackerman, Thomas P.; King, M. D.; Moroney, C.; Davies, R.; Muller, J.-P. A. L.; Gerber, H.

2001-07-27T23:59:59.000Z

38

Observed Southern Ocean Cloud Properties and Shortwave Reflection. Part I: Calculation of SW Flux from Observed Cloud Properties  

Science Journals Connector (OSTI)

The sensitivity of the reflection of shortwave radiation over the Southern Ocean to the cloud properties there is estimated using observations from a suite of passive and active satellite instruments in combination with radiative transfer ...

Daniel T. McCoy; Dennis L. Hartmann; Daniel P. Grosvenor

39

VOCALS: The VAMOS Ocean-Cloud-Atmosphere-Land Study  

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

VOCALS (VAMOS* Ocean-Cloud-Atmosphere-Land Study) is an international CLIVAR program the major goal of which is to develop and promote scientific activities leading to improved understanding of the Southeast Pacific (SEP) coupled ocean-atmosphere-land system on diurnal to inter-annual timescales. The principal program objectives are: 1) the improved understanding and regional/global model representation of aerosol indirect effects over the SEP; 2) the elimination of systematic errors in the region of coupled atmospheric-ocean general circulation models, and improved model simulations and predictions of the coupled climate in the SEP and global impacts of the system variability. VOCALS is organized into two tightly coordinated components: 1) a Regional Experiment (VOCALSREx), and 2) a Modeling Program (VOCALS-Mod). Extended observations (e.g. IMET buoy, satellites, EPIC/PACS cruises) will provide important additional contextual datasets that help to link the field and the modeling components. The coordination through VOCALS of observational and modeling efforts (Fig. 3) will accelerate the rate at which field data can be used to improve simulations and predictions of the tropical climate variability [Copied from the Vocals Program Summary of June 2007, available as a link from the VOCALS web at http://www.eol.ucar.edu/projects/vocals/]. The CLIVAR sponsored program to under which VOCALS falls is VAMOS, which stands for Variability of the American Monsoon Systems.

Wood, Robert (VOCALS-REx PI, University of Washington); Bretherton, Christopher (GEWEX/GCSS Representative, University of Washington); Huebert, Barry (SOLAS Representative, University of Hawaii); Mechoso, Roberto C. (VOCALS Science Working Group Chair, UCLA); Weller, Robert (Woods Hole Oceanographic Institution)

40

ARM - Field Campaign - 2008 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS)  

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

8 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS) 8 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : 2008 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS) 2008.10.14 - 2008.11.13 Lead Scientist : Peter Daum For data sets, see below. Description The DOE G-1 aircraft was deployed to Arica, Chile as part of the NSF VAMOS Ocean-Cloud- Atmospheric-Land Study (VOCALS). The purpose of VOCALS is to develop an understanding of the physical and chemical processes central to the climate system of the Southeast Pacific. In this region, extensive areas of marine clouds exist (coverage about 70% in October). The ASP component of VOCALS focused on aerosols, and how their chemical and microphysical properties, and their ability to act as CCN differ between

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


41

Factors influencing the microphysics and radiative properties of liquid-dominated Arctic clouds: insight from observations of aerosol and clouds during ISDAC  

SciTech Connect (OSTI)

Aircraft measurements during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) in April 2008 are used to investigate aerosol indirect effects in Arctic clouds. Two aerosol-cloud regimes are considered in this analysis: single-layer stratocumulus cloud with below-cloud aerosol concentrations (N{sub a}) below 300 cm{sup -3} on April 8 and April 26-27 (clean cases); and inhomogeneous layered cloud with N{sub a} > 500 cm{sup -3} below cloud base on April 19-20, concurrent with a biomass burning episode (polluted cases). Vertical profiles through cloud in each regime are used to determine average cloud microphysical and optical properties. Positive correlations between the cloud droplet effective radius (Re) and cloud optical depth ({tau}) are observed for both clean and polluted cases, which are characteristic of optically-thin, non-precipitating clouds. Average Re values for each case are {approx} 6.2 {mu}m, despite significantly higher droplet number concentrations (Nd) in the polluted cases. The apparent independence of Re and Nd simplifies the description of indirect effects, such that {tau} and the cloud albedo (A) can be described by relatively simple functions of the cloud liquid water path. Adiabatic cloud parcel model simulations show that the marked differences in Na between the regimes account largely for differences in droplet activation, but that the properties of precursor aerosol also play a role, particularly for polluted cases where competition for vapour amongst the more numerous particles limits activation to larger and/or more hygroscopic particles. The similarity of Re for clean and polluted cases is attributed to compensating droplet growth processes for different initial droplet size distributions.

Earle, Michael; Liu, Peter S.; Strapp, J. Walter; Zelenyuk, Alla; Imre, D.; McFarquhar, Greg; Shantz, Nicole C.; Leaitch, W. R.

2011-11-04T23:59:59.000Z

42

Evaluation of Mixed-Phase Cloud Parameterizations in Short-Range Weather Forecasts with CAM3 and AM2 for Mixed-Phase Arctic Cloud Experiment  

SciTech Connect (OSTI)

By making use of the in-situ data collected from the recent Atmospheric Radiation Measurement Mixed-Phase Arctic Cloud Experiment, we have tested the mixed-phase cloud parameterizations used in the two major U.S. climate models, the National Center for Atmospheric Research Community Atmosphere Model version 3 (CAM3) and the Geophysical Fluid Dynamics Laboratory climate model (AM2), under both the single-column modeling framework and the U.S. Department of Energy Climate Change Prediction Program-Atmospheric Radiation Measurement Parameterization Testbed. An improved and more physically based cloud microphysical scheme for CAM3 has been also tested. The single-column modeling tests were summarized in the second quarter 2007 Atmospheric Radiation Measurement metric report. In the current report, we document the performance of these microphysical schemes in short-range weather forecasts using the Climate Chagne Prediction Program Atmospheric Radiation Measurement Parameterizaiton Testbest strategy, in which we initialize CAM3 and AM2 with realistic atmospheric states from numerical weather prediction analyses for the period when Mixed-Phase Arctic Cloud Experiment was conducted.

Xie, S; Boyle, J; Klein, S; Liu, X; Ghan, S

2007-06-01T23:59:59.000Z

43

The Relative Importance of Clouds and Sea Ice for the Solar Energy Budget of the Southern Ocean  

Science Journals Connector (OSTI)

The effects of clouds and sea ice on the solar radiation budget are determined for the Southern Ocean around Antarctica between latitudes 50° and 80°S. Distributions of cloud optical depth are used, together with distributions of surface albedo, ...

Melanie F. Fitzpatrick; Stephen G. Warren

2007-03-01T23:59:59.000Z

44

A Gridded Climatology of Clouds over Land (1971-1996) and Ocean (1954-2008)  

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

A Gridded Climatology of Clouds over Land (1971-1996) and Ocean (1954-2008) A Gridded Climatology of Clouds over Land (1971-1996) and Ocean (1954-2008) from Surface Observations Worldwide (NDP-026E)* PDF PDF File data Data (NDP-026E) Date of Publication Original date of publication: December 2007. *Updated August, 2010: This page and the global cloudiness dataset and documentation were updated to reflect an additional 11 years (through 2008) of ocean data added by the investigators in December, 2009. Also, two new data directories (cat_55-70 and cat_71-82) were added containing the updated data and additional ancillary files were added to the directory: ancillary_ocean_files. Please see the new APPENDIX U in ndp026e.pdf containing information on this update. The recommended citation reflecting the updating of this database is:

45

The dependence of ice microphysics on aerosol concentration in arctic mixed-phase stratus clouds during ISDAC and M-PACE  

SciTech Connect (OSTI)

Cloud and aerosol data acquired by the National Research Council of Canada (NRC) Convair-580 aircraft in, above, and below single-layer arctic stratocumulus cloud during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) in April 2008 were used to test three aerosol indirect effects hypothesized to act in mixed-phase clouds: the riming indirect effect, the glaciation indirect effect, and the cold second indirect effect. The data showed a correlation of R= 0.75 between liquid drop number concentration, Nliq, inside cloud and ambient aerosol number concentration NPCASP below cloud. This, combined with increasing liquid water content LWC with height above cloud base and the nearly constant profile of Nliq, suggested that liquid drops were nucleated from aerosol at cloud base. No strong evidence of a riming indirect effect was observed, but a strong correlation of R = 0.69 between ice crystal number concentration Ni and NPCASP above cloud was noted. Increases in ice nuclei (IN) concentration with NPCASP above cloud combined with the subadiabatic LWC profiles suggest possible mixing of IN from cloud top consistent with the glaciation indirect effect. The higher Nice and lower effective radius rel for the more polluted ISDAC cases compared to data collected in cleaner single-layer stratocumulus conditions during the Mixed-Phase Arctic Cloud Experiment is consistent with the operation of the cold second indirect effect. However, more data in a wider variety of meteorological and surface conditions, with greater variations in aerosol forcing, are required to identify the dominant aerosol forcing mechanisms in mixed-phase arctic clouds.

Jackson, Robert C.; McFarquhar, Greg; Korolev, Alexei; Earle, Michael; Liu, Peter S.; Lawson, R. P.; Brooks, Sarah D.; Wolde, Mengistu; Laskin, Alexander; Freer, Matthew

2012-08-14T23:59:59.000Z

46

E-Print Network 3.0 - arctic ocean hydrocarbon Sample Search...  

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

Oceans Canada, the Northwest Territories Department... Godek Geology Middle to late Permian ocean acidification, Sverdrup Basin, ... Source: Marshall, Shawn - Department of...

47

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

E-Print Network [OSTI]

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

Harrington, Jerry Y.

48

E-Print Network 3.0 - arctic sediments svalbard Sample Search...  

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

Summary: for transporting lead into the Arctic. We collected a large selection of sediment cores from around the Arctic... enters the Arctic Ocean from the Fram Strait, between...

49

E-Print Network 3.0 - arctic animals-a review Sample Search Results  

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

ROTHROCK... and the intensification of the cyclonic circulation in the eastern Arctic Ocean. The response of Arctic sea ice... into the eastern Arctic from the Canada Basin,...

50

Observed Southern Ocean Cloud Properties and Shortwave Reflection. Part II: Phase Changes and Low Cloud Feedback  

Science Journals Connector (OSTI)

Climate models produce an increase in cloud optical depth in midlatitudes associated with climate warming, but the magnitude of this increase and its impact on reflected solar radiation vary from model to model. Transition from ice to liquid in ...

Daniel T. McCoy; Dennis L. Hartmann; Daniel P. Grosvenor

2014-12-01T23:59:59.000Z

51

Indirect and Semi-Direct Aerosol Campaign: The Impact of Arctic...  

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

Aerosol Campaign: The Impact of Arctic Aerosols on Clouds . Abstract: A comprehensive dataset of microphysical and radiative properties of aerosols and clouds in the arctic...

52

The Role of Sea Ice in the Fate of Contaminants in the Arctic Ocean:? Plutonium Atom Ratios in the Fram Strait  

Science Journals Connector (OSTI)

Indeed, the largest Sellafield discharges of Pu occurred in the 1970s and were characterized by 240Pu/239Pu close to 0.18, although the ratio increased to 0.21?0.22 in the recent years as a result of an increase in burn up time of the fuel for civil nuclear power production (20, 21). ... In Geological History of the Polar Oceans:? Arctic Versus Antarctic; Bleil, U., Thiede, J., Eds; Kluwer Academic Publishers:? Dordrecht, The Netherlands, 1990; pp 317?335. ... We report thermal ionization mass spectrometry measurements of 239Pu, 240Pu, 241Pu, 242Pu, and 237Np isolated from oceanic, estuarine, and riverine sediments from the Arctic Ocean Basin. ...

Pere Masqué; J. Kirk Cochran; Dierk Hebbeln; David J. Hirschberg; Dirk Dethleff; Amelie Winkler

2003-10-08T23:59:59.000Z

53

Autonomous buoy for seismic reflection data acquisition in the inaccessible parts of the Arctic Ocean  

E-Print Network [OSTI]

Autonomous buoy for seismic reflection data acquisition in the inaccessible parts of the Arctic Instrumentation, Bergen, Norway An autonomous buoy which collects seismic reflection data and transmits to shore of the seismic buoy (thick red, green and black lines). - we have successfully developed an autonomous buoy

Kristoffersen, Yngve

54

Using A-Train Arctic cloud observations to constrain and improve...  

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

than predicted by climate models... * * 2007 Stroeve et al., 2007 OUTLINE: 1. New A-train satellite data 2. Summer 2007 anomalies 3. Beyond Summer 2007 New cloud and radiation...

55

Basalt petrogenesis beneath slow- and ultraslow-spreading Arctic mid-ocean ridges  

E-Print Network [OSTI]

To explore the ability of melting mafic lithologies to produce alkaline ocean-island basalts (OIB), an experimental study was carried out measuring clinopyroxene (Cpx)melt and garnet (Gt)-melt partition coefficients during ...

Elkins, Lynne J

2009-01-01T23:59:59.000Z

56

Chlorine Chemistry on Polar Stratospheric Cloud Particles in the Arctic Winter  

Science Journals Connector (OSTI)

...O.B., CONDENSATION OF HNO3 AND...and type II (water ice) PSC particles...University, Atmospheric Research Project...formed during recovery (Fig. 4...5. Minimum atmospheric temperatures...vortex and during recovery in spring-time...Oceanic and Atmospheric Administration...

C. R. Webster; R. D. May; D. W. Toohey; L. M. Avallone; J. G. Anderson; P. Newman; L. Lait; M. R. Schoeberl; J. W. Elkins; K. R. Chan

1993-08-27T23:59:59.000Z

57

Physical Properties of High-Level Cloud over Land and Ocean from CloudSat–CALIPSO Data  

Science Journals Connector (OSTI)

Unlike other cloud types, high-level clouds play an important role, often imposing a warming effect, in the earth–atmosphere radiative energy budget. In this paper, macro- and microphysical characteristics of cirrus clouds, such as their ...

Juan Huo; Daren Lu

2014-12-01T23:59:59.000Z

58

1 Copyright 2014 by ASME Proceedings of the ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering  

E-Print Network [OSTI]

, Offshore and Arctic Engineering OMAE2014 June 8-13, 2014, San Francisco, California, USA OMAE2014 and icebergs present significant challenges for the development of arctic and subarctic oil and gas resources in northern regions. Offshore structures and vessels must be designed to withstand interaction with such ice

Bruneau, Steve

59

DOE/EA-1193: Environmental Assessment for the Atmospheric Radiation Measurement (ARM) Program North Slope of Alaska and Adjacent Artic Ocean Cloud and Radiation Testbed (CART) Site (February 1997)  

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

u. S. DEPARTMENT OF ENERGY u. S. DEPARTMENT OF ENERGY FINDING OF NO SIGNIFICANT IMPACT FINAL ENVIRONMENTAL ASSESSMENT - The United States Department of Energy (DOE) has prepared an environmental assessment (EA) for the Atmospheric Radiation Measurement Cloud and Radiation Testbed (ARM/CART), North Slope of Alaska and Adjacent Arctic Ocean. The purpose of the ARM/CART program is to collect and analyze atmospheric data for the development and validation of global climate change models. The program involves construction of several small facilities and operation of sensing equipment. The EA analyzes the impacts on land use, tundra, air quality, cultura.l resources, socioeconomics, and wildlife. Separate studies (summarized in the EA) were also conducted to ensure that the operation of the facilities would not

60

E-Print Network 3.0 - alesund arctic base Sample Search Results  

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

at these locations. The Arctic, in particular, has seen concentrated aircraft- and ship-based... and Radiation The Arctic Study of Aerosol, Clouds and Radiation (ASTAR)...

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


61

E-Print Network 3.0 - arctic valley findings Sample Search Results  

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

measurements Summary: : The results of this research will find use in improving models of weather and climate in the Arctic... PROJECT SUMMARY Cloud properties across the Arctic...

62

The spatial distribution of organochlorine pesticides and halogenated flame retardants in the surface sediments of an Arctic fjord: The influence of ocean currents vs. glacial runoff  

Science Journals Connector (OSTI)

Abstract Selected organochlorine pesticides (OCs) and halogenated flame retardants (HFRs) were analyzed in surficial fjord sediments collected down the length of Kongsfjorden, Svalbard in the Norwegian high Arctic. Hexachlorocyclohexane (?-HCHs) was found to be the most abundant OC in the sediment, followed by BDE-209 > chlordane > ?-endosulfan > Dechlorane Plus (anti-DP)> trifluralin concentration ranges were high over the relatively small study area of the fjord (e.g. ?HCH: 7.2–100 pg g?1 dry weight (dw)), with concentrations broadly similar to, or lower than, measurements conducted in other parts of the Arctic. Concentrations of legacy OCs, including both HCH isomers and chlordane showed a decreasing trend from the outer, seaward end of the fjord to the inner, glacier end of the fjord. Conversely, sediment concentrations of ?- and ?-endosulfan (0.1–12.5 pg g?1 dw) increased from the outer fjord to the inner fjord. This contrasting pattern may be attributed to the influence of historical vs. contemporary sources of these chemicals to the fjord area, whereby the North Atlantic/West Spitzbergen oceanic current dominates the transport and input of the legacy OCs, whereas atmospheric deposition and meltwater runoff from the glaciers influence the inner fjord sediments for endosulfan. Interestingly, BDE-209 and Dechlorane Plus did not reveal any clear spatial trend. It is plausible that both glacial runoff and oceanic current end members are playing a role in introducing these chemicals to the fjord sediments. The relatively low fractional abundance of the syn-DP isomer (fsyn), however, indicates the long-range transport of this chemical to this Arctic site.

Yuxin Ma; Zhiyong Xie; Crispin Halsall; Axel Möller; Haizhen Yang; Guangcai Zhong; Minghong Cai; Ralf Ebinghaus

2015-01-01T23:59:59.000Z

63

E-Print Network 3.0 - arctic marine oil Sample Search Results  

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

mammals... the Arctic (Figure 3). The loss of sea ice affects marine access, regional weather, ecosystem changes... spill response and damage assessment. As the Arctic Ocean...

64

E-Print Network 3.0 - arctic vegetation types Sample Search Results  

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

Summary: Dynamic vegetation Figure 3: Evolution of regional arctic models. Geophysical ocean-sea ice... that can be adapted to focus resolution on the Arctic. Stand alone ASM...

65

Climate zones for maritime clouds  

SciTech Connect (OSTI)

In this paper we use a commercially available lidar ceilometer to investigate how the basic structure of marine boundary-layer clouds varies for four different marine climate regimes. We obtained most of the data used in this analysis from ship-based ceilometer measurements recorded during several different atmospheric and oceanographic field programs conducted in the Atlantic and Pacific oceans. For comparison, we show the results obtained at a mid-latitude continental location and at an ice camp on the Arctic ice shelf. For each analyzed case, we use an extended time series to generate meaningful cloud base and cloud fraction statistics. The Vaisala CT 12K ceilometer uses a GaAs diode laser to produce short (150 ns), high-intensity pulses of infrared radiation (904 nm wavelength). The return signals from a large number of consecutive pulses are coherently summed to boost the signal-to-noise ratio. Each resulting 30-s profile of backscattered power (15-m resolution) is analyzed to detect cloud layers using a specified cloud detection limit. In addition to measurements of cloud base, the ceilometer can also provide information on cloud fraction using a time series of the {open_quotes}cloud{close_quotes} or {open_quotes} no cloud{close_quotes} status reported in the 30-s data.

White, A.B.; Ruffieux, D. [Univ. of Colorado, Boulder, CO (United States); [National Oceanic and Atmospheric Administration, Boulder, CO (United States); Fairall, C.W. [National Oceanic and Atmospheric Administration, Boulder, CO (United States)

1995-04-01T23:59:59.000Z

66

2012 Changing Arctic Ocean 506E/497E -Lecture 5 -Woodgate The Bering Sea/Bering Strait Relationship  

E-Print Network [OSTI]

Atlantic waters) form a cold (halocline) layer, which insulates the ice from the warm Atlantic water waters) form a cold (halocline) layer, which insulates the ice from the warm Atlantic water beneath 20% 50% The role of Pacific waters in the Arctic Implicated in the seasonal melt-back of ice

Washington at Seattle, University of

67

Correlation between present-day model simulation of Arctic cloud radiative forcing and sea ice consistent with positive winter convective cloud feedback  

E-Print Network [OSTI]

A positive feedback on winter sea-ice loss, based on warming due to radiative forcing caused by the onset of convective clouds in response to sea-ice loss, has recently been proposed. This feedback has thus far been ...

Emanuel, Kerry Andrew

68

E-Print Network 3.0 - arctic cloudy boundary Sample Search Results  

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

University of Wisconsin at Madison Collection: Geosciences 11 Daytime Arctic Cloud Detection Based on Multi-Angle Satellite Data With Case Studies Summary: near cloud...

69

Parameterization of the Extinction Coefficient in Ice and Mixed-Phase Arctic Clouds during the ISDAC Field Campaign  

SciTech Connect (OSTI)

This report documents the history of attempts to directly measure cloud extinction, the current measurement device known as the Cloud Extinction Probe (CEP), specific problems with direct measurement of extinction coefficient, and the attempts made here to address these problems. Extinction coefficient is one of the fundamental microphysical parameters characterizing bulk properties of clouds. Knowledge of extinction coefficient is of crucial importance for radiative transfer calculations in weather prediction and climate models given that Earth's radiation budget (ERB) is modulated much by clouds. In order for a large-scale model to properly account for ERB and perturbations to it, it must ultimately be able to simulate cloud extinction coefficient well. In turn this requires adequate and simultaneous simulation of profiles of cloud water content and particle habit and size. Similarly, remote inference of cloud properties requires assumptions to be made about cloud phase and associated single-scattering properties, of which extinction coefficient is crucial. Hence, extinction coefficient plays an important role in both application and validation of methods for remote inference of cloud properties from data obtained from both satellite and surface sensors (e.g., Barker et al. 2008). While estimation of extinction coefficient within large-scale models is relatively straightforward for pure water droplets, thanks to Mie theory, mixed-phase and ice clouds still present problems. This is because of the myriad forms and sizes that crystals can achieve, each having their own unique extinction properties. For the foreseeable future, large-scale models will have to be content with diagnostic parametrization of crystal size and type. However, before they are able to provide satisfactory values needed for calculation of radiative transfer, they require the intermediate step of assigning single-scattering properties to particles. The most basic of these is extinction coefficient, yet it is rarely measured directly, and therefore verification of parametrizations is difficult. The obvious solution is to be able to measure microphysical properties and extinction at the same time and for the same volume. This is best done by in situ sampling by instruments mounted on either balloon or aircraft. The latter is the usual route and the one employed here. Yet the problem of actually measuring extinction coefficient directly for arbitrarily complicated particles still remains unsolved.

Korolev, A; Shashkov, A; Barker, H

2012-03-06T23:59:59.000Z

70

The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx): Goals, platforms, and field operations  

SciTech Connect (OSTI)

The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx) was an international field program designed to make observations of poorly understood but critical components of the coupled climate system of the southeast Pacific. This region is characterized by strong coastal upwelling, the coolest SSTs in the tropical belt, and is home to the largest subtropical stratocumulus deck on Earth. The field intensive phase of VOCALS-REx took place during October and November 2008 and constitutes a critical part of a broader CLIVAR program (VOCALS) designed to develop and promote scientific activities leading to improved understanding, model simulations, and predictions of the southeastern Pacific (SEP) coupled ocean-atmosphere-land system, on diurnal to interannual timescales. The other major components of VOCALS are a modeling program with a model hierarchy ranging from the local to global scales, and a suite of extended observations from regular research cruises, instrumented moorings, and satellites. The two central themes of VOCALS-REx focus upon (a) links between aerosols, clouds and precipitation and their impacts on marine stratocumulus radiative properties, and (b) physical and chemical couplings between the upper ocean and the lower atmosphere, including the role that mesoscale ocean eddies play. A set of hypotheses designed to be tested with the combined field, monitoring and modeling work in VOCALS is presented here. A further goal of VOCALS-REx is to provide datasets for the evaluation and improvement of large-scale numerical models. VOCALS-REx involved five research aircraft, two ships and two surface sites in northern Chile. We describe the instrument payloads and key mission strategies for these platforms and give a summary of the missions conducted.

Wood, R.; Springston, S.; Mechoso, C. R.; Bretherton, C. S.; A.Weller, R.; Huebert, B.; Straneo, F.; Albrecht, B. A.; Coe, H.; Allen, G.; Vaughan, G.; Daum, P.; Fairall, C.; Chand, D.; Klenner, L. G.; Garreaud, R.; Grados, C.; Covert, D. S.; Bates, T. S.; Krejci, R.; Russell, L. M.; Szoeke, S. d.; Brewer, A.; Yuter, S. E.; Chaigneau, A.; Toniazzo, T.; Minnis, P.; Palikonda, R.; Abel, S. J.; Brown, W. O. J.; Williams, S.; Fochesatto, J.; Brioude, J.; Bower, K. N

2011-01-21T23:59:59.000Z

71

E-Print Network 3.0 - arctic freshwater sediments Sample Search...  

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

12;2 Holocene sedimentation in the deep Arctic Ocean... prominently in the overall sediment budget of the Arctic Ocean. While a detailed analysis of the processes... with these...

72

Intensive Sea Surface Microlayer Investigations of Open Leads in the Pack Ice during Arctic Ocean 2001 Expedition  

Science Journals Connector (OSTI)

3-7 Studies of microlayer properties have been conducted on freshwater lakes, seas, and temperate open oceans. ... The wind factor (Pw) discussed is an approximate measure of the wind power during sampling collection, calculated as Pw = 1/2ld(U)3, where l is the estimated fetch distance (m), d is air density (approximated from air pressure in hPa), and U the average wind speed (m s-1) measured at Z = 36 m. ... Williams et al.12 reported reduction of oceanic surface tension in a comprehensive study of surface characteristics in the Pacific Ocean off the coast of California. ...

Johan C. Knulst; Dena Rosenberger; Brian Thompson; Jussi Paatero

2003-11-01T23:59:59.000Z

73

E-Print Network 3.0 - arctic offshore oil Sample Search Results  

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

damage assessment. As the Arctic Ocean becomes seasonally passable and tourism, oil and gas... forecasting of ocean storms which have serious potential to threaten marine ......

74

E-Print Network 3.0 - arctic pilot project Sample Search Results  

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

the world." Mike Steele: "The Switchyard Project is designed... to better understand the ocean currents that are moving in the Arctic Ocean towards the North ... Source:...

75

Pre-Cloud Aerosol, Cloud Droplet Concentration, and Cloud Condensation Nuclei from the VAMOS Ocean-Cloud-Atmosphere Land Study (VOCALS) Field Campaign First Quarter 2010 ASR Program Metric Report  

SciTech Connect (OSTI)

In this, the first of a series of Program Metric Reports, we (1) describe archived data from the DOE G-1 aircraft, (2) illustrate several relations between sub-cloud aerosol, CCN, and cloud droplets pertinent to determining the effects of pollutant sources on cloud properties, and (3) post to the data archive an Excel spreadsheet that contains cloud and corresponding sub-cloud data.

Kleinman, LI; Springston, SR; Daum, PH; Lee, Y-N; Sedlacek, AJ; Senum, G; Wang, J

2011-08-31T23:59:59.000Z

76

Measurements of Saharan Dust in Convective Clouds over the Tropical Eastern Atlantic Ocean  

Science Journals Connector (OSTI)

Mineral dust particles have been shown to act as cloud condensation nuclei, and they are known to interact with developing tropical storms over the Atlantic downwind of the Sahara. Once present within liquid droplets, they have the potential to ...

Cynthia H. Twohy

77

Clouds, Aerosols and Precipitation in the Marine Boundary Layer (CAP-MBL) AMF Deployment Graciosa Island, Azores, NE Atlantic Ocean May 2009-December 2010  

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 May 2009-December 2010 Rob Wood, University of Washington CAP-MBL Proposal Team AMF Deployment Team Thanks to Mark Miller: AMF Site Scientist Kim Nitschke: AMF Site Manager Importance of Low-Clouds for Climate Imperative that we understand the processes controlling the formation, maintenance and dissipation of low clouds in order to improve their representation in climate models. Which clouds matter for climate sensitivity? Climate Feedbacks Model Intercomparison Project (CFMIP) 12 slab ocean models 2xCO 2 - control Correlation of global mean CRF with local values Mark Webb, Hadley Center 90 N 45 N 0 45 S 90S 0 90 E 180 90 W 0

78

Profiling clouds' inner life | EMSL  

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

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

79

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network [OSTI]

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

Stevens, Bjorn

80

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network [OSTI]

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

Stevens, Bjorn

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


81

Arctic ice islands  

SciTech Connect (OSTI)

The development of offshore oil and gas resources in the Arctic waters of Alaska requires offshore structures which successfully resist the lateral forces due to moving, drifting ice. Ice islands are floating, a tabular icebergs, up to 60 meters thick, of solid ice throughout their thickness. The ice islands are thus regarded as the strongest ice features in the Arctic; fixed offshore structures which can directly withstand the impact of ice islands are possible but in some locations may be so expensive as to make oilfield development uneconomic. The resolution of the ice island problem requires two research steps: (1) calculation of the probability of interaction between an ice island and an offshore structure in a given region; and (2) if the probability if sufficiently large, then the study of possible interactions between ice island and structure, to discover mitigative measures to deal with the moving ice island. The ice island research conducted during the 1983-1988 interval, which is summarized in this report, was concerned with the first step. Monte Carlo simulations of ice island generation and movement suggest that ice island lifetimes range from 0 to 70 years, and that 85% of the lifetimes are less then 35 years. The simulation shows a mean value of 18 ice islands present at any time in the Arctic Ocean, with a 90% probability of less than 30 ice islands. At this time, approximately 34 ice islands are known, from observations, to exist in the Arctic Ocean, not including the 10-meter thick class of ice islands. Return interval plots from the simulation show that coastal zones of the Beaufort and Chukchi Seas, already leased for oil development, have ice island recurrences of 10 to 100 years. This implies that the ice island hazard must be considered thoroughly, and appropriate safety measures adopted, when offshore oil production plans are formulated for the Alaskan Arctic offshore. 132 refs., 161 figs., 17 tabs.

Sackinger, W.M.; Jeffries, M.O.; Lu, M.C.; Li, F.C.

1988-01-01T23:59:59.000Z

82

An analysis of the carbon balance of the Arctic Basin from 1997 to 2006  

E-Print Network [OSTI]

This study used several model-based tools to analyse the dynamics of the Arctic Basin between 1997 and 2006 as a linked system of land-ocean-atmosphere C exchange. The analysis estimates that terrestrial areas of the Arctic ...

McGUIRE, A. D.

83

Potential for a biogenic influence on cloud microphysics over the ocean: a correlation study with satellite-derived data  

E-Print Network [OSTI]

Aerosols have a large potential to influence climate through their effects on the microphysics and optical properties of clouds and, hence, on the Earth's radiation budget. Aerosol–cloud interactions have been intensively ...

Lana, A.

84

E-Print Network 3.0 - arctic stratospheric expedition Sample...  

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

; Geosciences 2 STRATOSPHERIC OZONE DEPLETION: A REVIEW OF CONCEPTS AND HISTORY Summary: satellite observations of high-altitude clouds in the Antarctic and Arctic stratospheres....

85

E-Print Network 3.0 - arctic research station Sample Search Results  

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

and Ecology 3 PROJECT SUMMARY Cloud properties across the Arctic Basin from surface and satellite measurements Summary: . This project will integrate and synthesize data from...

86

ShoreZone in the Arctic 8,000 km of Coastal Habitat Mapping Cathy Coon, Bureau of Ocean Energy Management, catherine.coon@boem.gov  

E-Print Network [OSTI]

Deadhorse Kotzebue Sound BOEM North Slope Imagery - 1,900 km BOEM North Slope Shore Stations National Park a continental-scale characterization of the arctic shoreline and support planning efforts related to oils spills Krusenstern, north of Kotzebue #12;Point Lay Wales Kotzebue Wainwright Cape Lisburne Kaktovik BARROW Point

87

E-Print Network 3.0 - arctic mammalian carnivore Sample Search...  

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

Summary: locality Arctic Ocean, Si- Ur.w polaris Shaw, 1792:7. Renaming of marinus Pallas. Thallassnrctos... (Manning, 1971). Presumably the cline is similar across the Soviet...

88

Derivation of Seasonal Cloud Properties at ARM-NSA from Multispectral MODIS Data  

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

Derivation of Seasonal Cloud Properties at ARM-NSA Derivation of Seasonal Cloud Properties at ARM-NSA from Multispectral MODIS Data D. A. Spangenberg Analytical Services and Materials, Inc. Hampton, Virginia P. Minnis National Aeronautics and Space Administration Langley Research Center Hampton, Virginia T. Uttal National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado Q. Z. Trepte and S. S.-Mack Science Applications International Corporation Hampton, Virginia Introduction Improving climate model predictions over earth's Polar Regions requires a complete knowledge of polar cloud microphysics. Over the Arctic, there is minimal contrast between the clouds and background snow surface observed in satellite data, especially for visible wavelengths. This makes it difficult to

89

Satellite-based assessment of cloud-free net radiative effect of dust aerosols over the Atlantic Ocean  

E-Print Network [OSTI]

and the Earth's Radiant Energy System (CERES) data from the Terra satellite over the Atlantic Ocean [10W­60W, 0 Ocean Sundar A. Christopher1 and Thomas Jones1 Received 7 August 2006; revised 8 November 2006; accepted effect (+1.44 ± 0.57 Wm�2 ) indicating the importance of the dust aerosols in the thermal portion

Christopher, Sundar A.

90

Estimating sea ice area flux across the Canadian Arctic Archipelago using enhanced AMSR-E  

E-Print Network [OSTI]

. This produced a net loss of sea ice area of about 122 Ã? 103 km2 or roughly 174 km3 aÃ?1 which is presumedEstimating sea ice area flux across the Canadian Arctic Archipelago using enhanced AMSR-E T. Agnew is used to estimate daily sea ice area fluxes between the Canadian Arctic Archipelago and the Arctic Ocean

Long, David G.

91

Simulated Response of the Arctic Freshwater Budget to Extreme NAO Wind Forcing  

Science Journals Connector (OSTI)

The authors investigate the response of the Arctic Ocean freshwater budget to changes in the North Atlantic Oscillation (NAO) using a regional-ocean configuration of the Massachusetts Institute of Technology GCM (MITgcm) and carry out several ...

Alan Condron; Peter Winsor; Chris Hill; Dimitris Menemenlis

2009-05-01T23:59:59.000Z

92

Ocean Frontal Effects on the Vertical Development of Clouds over the Western North Pacific: In Situ and Satellite Observations  

Science Journals Connector (OSTI)

A suite of shipboard and satellite observations are analyzed and synthesized to investigate the three-dimensional structure of clouds and influences from sea surface temperature fronts over the western North Pacific. Sharp transitions are ...

Hiroki Tokinaga; Youichi Tanimoto; Shang-Ping Xie; Takeaki Sampe; Hiroyuki Tomita; Hiroshi Ichikawa

2009-08-01T23:59:59.000Z

93

Cloud Services Cloud Services  

E-Print Network [OSTI]

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

94

Arctic Stratigraphy  

Science Journals Connector (OSTI)

... made in many parts of the Arctic from the previous reconnaissance level of geological knowledge (Norsk Polarinstitutt. Skrifter Nr. 135. By S. H. Buchan, A. Challiner, W ... , W. B. Harland and J. R. Parker. Pp. 92. Oslo : Norsk Polarinstitutt, 1965. 15 kr.). It is the result of work carried out ...

1966-03-05T23:59:59.000Z

95

A continuum model of melt pond evolution on Arctic sea ice Daniela Flocco1  

E-Print Network [OSTI]

the atmosphere and ocean. In particular, sea ice affects the polar climate by insulating the ocean fromA continuum model of melt pond evolution on Arctic sea ice Daniela Flocco1 and Daniel L. Feltham1 the Northern Hemisphere summer, absorbed solar radiation melts snow and the upper surface of Arctic sea ice

Feltham, Daniel

96

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

E-Print Network [OSTI]

Testing cloud microphysics parameterizations in NCAR CAM5 with ISDAC and M-PACE observations October 2011; accepted 26 October 2011; published 24 December 2011. [1] Arctic clouds simulated-Direct Aerosol Campaign (ISDAC) and Mixed-Phase Arctic Cloud Experiment (M-PACE), which were conducted at its

97

The Arctic Lower Troposphere Observed Structure (ALTOS) Campaign  

SciTech Connect (OSTI)

The ALTOS campaign focuses on operating a tethered observing system for routine in situ sampling of low-level (< 2 km) Arctic clouds. It has been a long-term hope to fly tethered systems at Barrow, Alaska, but it is clear that the Federal Aviation Administration (FAA) will not permit in-cloud tether systems at Barrow, even if unmanned aerial vehicle (UAV) operations are allowed in the future. We have provided the scientific rationale for long-term, routine in situ measurements of cloud and aerosol properties in the Arctic. The existing restricted air space at Oliktok offers an opportunity to do so.

Verlinde, J

2010-10-18T23:59:59.000Z

98

Exploration of the marine silver cycle in coastal and open ocean environments of the North Pacific.  

E-Print Network [OSTI]

??Five profiles of the silver concentration in the subArctic Northeast Pacific Ocean yield a broad correlation between the Ag content and dissolved Si. However, silver… (more)

Kramer, Dennis

2010-01-01T23:59:59.000Z

99

Arctic Methane, Hydrates, and Global Climate  

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

Arctic Methane, Hydrates, and Global Climate Arctic Methane, Hydrates, and Global Climate Speaker(s): Matthew T. Reagan Date: March 17, 2010 - 12:00pm Location: 90-3122 Paleooceanographic evidence has been used to postulate that methane may have had a significant role in regulating past climate. However, the behavior of contemporary permafrost deposits and oceanic methane hydrate deposits subjected to rapid temperature changes, like those now occurring in the arctic and those predicted under future climate change scenarios, has only recently been investigated. A recent expedition to the west coast of Spitsbergen discovered substantial methane gas plumes exiting the seafloor at depths that correspond to the upper limit of the receding gas hydrate stability zone. It has been suggested that these plumes may be the

100

ArcticN O A A ' s A r c t i c A c t i O N P l A N Supporting the  

E-Print Network [OSTI]

Service Kate Clark National Ocean Service Pablo Clemente-Colon National Environmental Satellite directly supports the National Strategy. Advancing U.s. security interests in the Arctic requires improvedArcticN O A A ' s A r c t i c A c t i O N P l A N Supporting the national Strategy for the arctic

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


101

Iodine-129 and plutonium isotopes in Arctic kelp as historical indicators of transport of nuclear fuel-reprocessing wastes from mid-to-high latitudes in the Atlantic Ocean  

Science Journals Connector (OSTI)

...Iodine-129:iodine-127 ratios were determined using accelerator mass spectrometry in 34 Arctic marine algae collected between 1930 and 1993. A smaller set (5) of marine algae were also analyzed mass spectrometr...

L. W. Cooper; T. M. Beasley; X.-L. Zhao; C. Soto; K. L. Vinogradova…

1998-06-01T23:59:59.000Z

102

Simulated Arctic atmospheric feedbacks associated with late summer sea ice anomalies  

E-Print Network [OSTI]

Simulated Arctic atmospheric feedbacks associated with late summer sea ice anomalies A. Rinke,1,2 K depend on regional and decadal variations in the coupled atmosphere-ocean-sea ice system. Citation: Rinke to investigate feedbacks between September sea ice anomalies in the Arctic and atmospheric conditions in autumn

Moore, John

103

A Potential Role for Immersion Freezing in Arctic Mixed-Phase Stratus  

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

Potential Role for Immersion Freezing in Arctic Mixed-Phase Stratus Potential Role for Immersion Freezing in Arctic Mixed-Phase Stratus Gijs de Boer, Edwin W. Eloranta, Tempei Hashino, and Gregory J. Tripoli The University of Wisconsin - Madison (1) Introduction Ice formation appears to a dominant factor controlling the lifecycle of Arctic mixed-phase clouds. To date, our understanding of ice formation in these long-lasting cloud structures does not explain the formation of observed ice amounts. Particularly puzzling are observa-

104

ARM - Publications: Science Team Meeting Documents: An Arctic Springtime  

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

An Arctic Springtime Mixed-Phase Cloudy Boundary Layer observed during An Arctic Springtime Mixed-Phase Cloudy Boundary Layer observed during SHEBA Zuidema, Paquita RSMAS/MPO University of Miami Han, Yong NASA Goddard Space Flight Center Intrieri, Janet NOAA/Environmental Technology Laboratory Key, Jeffrey Boston University Lawson, Paul SPEC Inc. Matrosov, Sergey NOAA/Environmental Technology Laboratory Shupe, Matthew CIRES/NOAA/ETL Uttal, Taneil NOAA/Environmental Technology Laboratory The microphysical characteristics, radiative impact, and lifecycle of a long-lived, surface-based mixed-layer, mixed-phase cloud with an average temperature of approximately -20 C are presented and discussed. The cloud was observed during the Surface Heat Budget of the Arctic experiment from May 1 through May 10, 1998. Vertically-resolved properties of the liquid

105

Arctic Energy Office  

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

S Strategic Center for Natural Gas & Oil CONTACTS Joel Lindstrom Arctic Energy Office National Energy Technology Laboratory 420 L Street, Suite 305 Anchorage, Alaska 99501...

106

ARM - Field Campaign - Boundary Layer Cloud IOP  

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

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

107

Characteristics of Arctic Sea-Ice Thickness Variability in GCMs  

Science Journals Connector (OSTI)

Skillful Arctic sea ice forecasts may be possible for lead times of months or even years owing to the persistence of thickness anomalies. In this study sea ice thickness variability is characterized in fully coupled GCMs and sea ice–ocean-only ...

Edward Blanchard-Wrigglesworth; Cecilia M. Bitz

2014-11-01T23:59:59.000Z

108

ARM - Publications: Science Team Meeting Documents: Clouds and radiation in  

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

Clouds and radiation in the Arctic coastal system - effects of local Clouds and radiation in the Arctic coastal system - effects of local heterogeneity Key, Erica University of Miami, RSMAS Minnett, Peter University of Miami Improving our comprehension of the influence of clouds in the polar regions is important as a prerequisite to refining our understanding of the earth's climate system. Polar clouds modulate the radiative heat loss to space in the regions that serve as the heat sink of the climate system. The local feedbacks between cloud formation and changing surface albedo that result from the ice melting and refreezing cycle, and the small space scales over which significant gradients occur, render this a very complex system to study. Difficulties in making appropriate measurements in the harsh Arctic environment lead to sparse, if not absent information on the

109

Carbon dioxide in Arctic and subarctic regions  

SciTech Connect (OSTI)

A three year research project was presented that would define the role of the Arctic ocean, sea ice, tundra, taiga, high latitude ponds and lakes and polar anthropogenic activity on the carbon dioxide content of the atmosphere. Due to the large physical and geographical differences between the two polar regions, a comparison of CO/sub 2/ source and sink strengths of the two areas was proposed. Research opportunities during the first year, particularly those aboard the Swedish icebreaker, YMER, provided additional confirmatory data about the natural source and sink strengths for carbon dioxide in the Arctic regions. As a result, the hypothesis that these natural sources and sinks are strong enough to significantly affect global atmospheric carbon dioxide levels is considerably strengthened. Based on the available data we calculate that the whole Arctic region is a net annual sink for about 1.1 x 10/sup 15/ g of CO/sub 2/, or the equivalent of about 5% of the annual anthropogenic input into the atmosphere. For the second year of this research effort, research on the seasonal sources and sinks of CO/sub 2/ in the Arctic will be continued. Particular attention will be paid to the seasonal sea ice zones during the freeze and thaw periods, and the tundra-taiga regions, also during the freeze and thaw periods.

Gosink, T. A.; Kelley, J. J.

1981-03-01T23:59:59.000Z

110

Effect of coarse marine aerosols on stratocumulus clouds Yoav Lehahn,1,2  

E-Print Network [OSTI]

an important role not only over land for windpower estimation but also over the oceans by changing clouds

Kostinski, Alex

111

Remote sensing of total integrated water vapor, wind speed, and cloud liquid water over the ocean using the Special Sensor Microwave/Imager (SSM/I)  

E-Print Network [OSTI]

A modified D-matrix retrieval method is the basis of the refined total integrated water vapor (TIWV), total integrated cloud liquid water (CLW), and surface wind speed (WS) retrieval methods that are developed. The 85 GHZ polarization difference...

Manning, Norman Willis William

2012-06-07T23:59:59.000Z

112

Research Highlight  

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

during the 2004 Mixed-Phase Arctic Cloud Experiment (M-PACE) and 1997-98 Surface Heat Budget of the Arctic OceanFirst ISCCP Regional Experiment - Arctic Clouds Experiment...

113

Arctic Lower Troposphere Observed Structure (ALTOS)  

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

Lower Troposphere Observed Structure (ALTOS) Lower Troposphere Observed Structure (ALTOS) will raise and lower a heavily instrumented tethered balloon system at regular intervals in the lower 2 kilometers of the atmosphere at Oliktok Point. Data obtained during the ALTOS campaign will provide a statistically significant set of observed in situ cloud properties for validating retrieval algorithms and help scientists reduce the uncertainty in the radiative forcing and heating rates on hourly time scales. The data will also help researchers gain a better understanding of the driving processes that control climate changes and determine the state of the Arctic climate system. Collaborators Science Team: The Pennsylvania State University, Stratton

114

ARM - Field Campaign - Macquarie Island Cloud and Radiation Experiment...  

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

Cloud and Radiation Experiment (MICRE) 2016.03.01 - 2018.03.31 Lead Scientist : Roger Marchand Abstract Clouds over the Southern Ocean are poorly represented in present day...

115

Arctic energy resources  

SciTech Connect (OSTI)

The Arctic is a vulnerable region with immense resources. These range from the replenishable (tidal energy, hydroelectricity, wood, biomass, fish, game, and geothermal energy) to the non-replenishable (coal, minerals, natural gas, hydrocarbon deposits). But the problems of exploiting such resources without damaging the environment of the Arctic are formidable. In this book all aspects are considered: occurrence of energy resources; the technological and economic aspects of exploration and exploitation; the environmental and social impact of technological development.

Rey, L.

1983-01-01T23:59:59.000Z

116

Chemical Composition and Cloud Nucleation Ability of Marine Aerosol  

E-Print Network [OSTI]

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

Deng, Chunhua

2013-12-12T23:59:59.000Z

117

6, 96559722, 2006 Arctic smoke  

E-Print Network [OSTI]

Discussions Arctic smoke ­ record high air pollution levels in the European Arctic due to agricultural fires into the European Arctic and caused the most severe air pollution episodes ever recorded there. This paper confirms that biomass burning (BB) was in-5 deed the source of the observed air pollution, studies the transport

Boyer, Edmond

118

CONTENTS Developing Alaskan Arctic  

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

Developing Alaskan Arctic Developing Alaskan Arctic Potential ...........................................1 Commentary ...................................2 NETL Develops Strategic Partnership with the Alaska Center for Energy and Power ...8 Deepwater and Ultra-Deepwater Produced Water Discharge ....10 Intelligent Production System for Ultra Deepwater with Short Hop Wireless Power and Wireless Data Transfer .........................................16 Snapshots ......................................19 CONTACTS Roy Long Technology Manager Ultra-Deepwater/Offshore 304-285-4479 roy.long@netl.doe.gov Ray Boswell Technology Manager Natural Gas Technology R&D 412-386-7614 ray.boswell@netl.doe.gov Eric Smistad Technology Manager Oil Technology R&D 281-494-2619 eric.smistad@netl.doe.gov

119

Arctic sea ice modeling with the material-point method.  

SciTech Connect (OSTI)

Arctic sea ice plays an important role in global climate by reflecting solar radiation and insulating the ocean from the atmosphere. Due to feedback effects, the Arctic sea ice cover is changing rapidly. To accurately model this change, high-resolution calculations must incorporate: (1) annual cycle of growth and melt due to radiative forcing; (2) mechanical deformation due to surface winds, ocean currents and Coriolis forces; and (3) localized effects of leads and ridges. We have demonstrated a new mathematical algorithm for solving the sea ice governing equations using the material-point method with an elastic-decohesive constitutive model. An initial comparison with the LANL CICE code indicates that the ice edge is sharper using Materials-Point Method (MPM), but that many of the overall features are similar.

Peterson, Kara J.; Bochev, Pavel Blagoveston

2010-04-01T23:59:59.000Z

120

On the Link between Arctic Sea Ice Decline and the Freshwater Content of the Beaufort Gyre: Insights from a Simple Process Model  

Science Journals Connector (OSTI)

Recent satellite and hydrographic observations have shown that the rate of freshwater accumulation in the Beaufort Gyre of the Arctic Ocean has accelerated over the past decade. This acceleration has coincided with the dramatic decline observed in ...

Peter E. D. Davis; Camille Lique; Helen L. Johnson

2014-11-01T23:59:59.000Z

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


121

Clouds, Aerosols and Precipitation in  

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

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

122

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

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

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

123

Arctic & Antarctic Activity Book  

E-Print Network [OSTI]

hundred animals scattered around Antarctica. 6 #12;Seals are mammals, and they have to breathe air to live seal Lemmings Orca King crab Walrus Arctic tern Ptarmigan Musk Ox Sculpin Cod Brittle star Black fly. Can you help this seal find her breathing hole in the ice sheet? 7 #12;Color Me! Male walruses have

124

The 2004 North Slope of Alaska Arctic Winter Radiometric Experiment  

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

2004 North Slope of Alaska 2004 North Slope of Alaska Arctic Winter Radiometric Experiment E. R. Westwater, M. A. Klein, and V. Leuski Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado A. J. Gasiewski, T. Uttal, and D. A. Hazen National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. Cimini Remote Sensing Division, CETEMPS Universita' dell'Aquila L'Aquila, Italy V. Mattioli Dipartimento di Ingegneria Elettronica e dell'Informazione Perugia, Italy B. L. Weber and S. Dowlatshahi Science Technology Corporation Boulder, Colorado J. A. Shaw Department of Electrical and Computer Engineering

125

Posters A One-Dimensional Radiative Convective Model with Detailed Cloud Microphysics  

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

5 5 Posters A One-Dimensional Radiative Convective Model with Detailed Cloud Microphysics J. Simmons, O. Lie-Svendsen, and K. Stamnes Geophysical Institute University of Alaska Fairbanks, Alaska The Arctic is a key element in determining the radiation budget of the earth. Within the polar regions, the net radiation (incoming solar radiation minus outgoing infrared radiation) is negative. To understand the role this energy deficit plays in the overall radiation budget, one must examine the prevalent atmospheric features of the Arctic. One such feature is a persistent layer of low-altitude, stratiform clouds found over the central Arctic predominantly from April to September (Tsay et al. 1984). These Arctic stratus clouds (ASC) modulate the earth's radiation budget

126

Radiative Impacts on the Growth of a Population of Drops within Simulated Summertime Arctic Stratus  

Science Journals Connector (OSTI)

The impact of solar heating and infrared cooling on the growth of a population of drops is studied with two numerical modeling frameworks. An eddy-resolving model (ERM) simulation of Arctic stratus clouds is used to generate a dataset of 500 ...

Jerry Y. Harrington; Graham Feingold; William R. Cotton

2000-03-01T23:59:59.000Z

127

Distant origins of Arctic black carbon: A Goddard Institute for Space Studies ModelE experiment  

E-Print Network [OSTI]

profile, cloud temperature and amount, the seasonal cycle, and the tropopause level and accelerating polar ice melting. We use the Goddard Institute for Space Studies general circulation model to investigate is generally assumed. Citation: Koch, D., and J. Hansen (2005), Distant origins of Arctic black carbon

128

NETL: Arctic Energy Office  

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

Facts/Issues Facts/Issues Average South-Central natural gas consumption in 2005 was: 13.9% gas utility 20.0% power generation 54.3% industrial-LNG sales, oil refining, and fertilizer manufacturing 7.2% field operations 4.6% other Due to a lack of natural gas deliverability, the Cook Inlet fertilizer plant terminated operations in May 2008. LNG sales are increasingly curtailed during cold weather due to peak demand shortages. The LNG export license is up for renewal in 2011. Exploration must find new reserves on the order of 500 Bcf, and that will only solve the natural gas shortage until approximately 2019. Challenges Natural gas in the Arctic, until recently, has been largely overlooked. Little is known about the possible breadth of the Arctic storehouse of natural gas apart from the resource associated with the currently producing

129

Arctic Energy Office  

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

O O G R A M FAC T S Strategic Center for Natural Gas & Oil CONTACTS Joel Lindstrom Arctic Energy Office National Energy Technology Laboratory 420 L Street, Suite 305 Anchorage, Alaska 99501 907-271-3618 joel.lindstrom@contr.netl.doe.gov Albert B. Yost II Sr. Management Technical Advisor Strategic Center for Natural Gas & Oil National Energy Technology Laboratory 3610 Collins Ferry Road Morgantown, WV 26507-0880 304-285-4479 albert.yost@netl.doe.gov

130

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

SciTech Connect (OSTI)

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

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

2011-12-24T23:59:59.000Z

131

Testing Cloud Microphysics Parameterizations in NCAR CAM5 with ISDAC and M-PACE Observations  

SciTech Connect (OSTI)

Arctic clouds simulated by the NCAR Community Atmospheric Model version 5 (CAM5) are evaluated with observations from the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Indirect and Semi-Direct Aerosol Campaign (ISDAC) and Mixed-Phase Arctic Cloud Experiment (M-PACE), which were conducted at its North Slope of Alaska site in April 2008 and October 2004, respectively. Model forecasts for the Arctic Spring and Fall seasons performed under the Cloud- Associated Parameterizations Testbed (CAPT) framework generally reproduce the spatial distributions of cloud fraction for single-layer boundary layer mixed-phase stratocumulus, and multilayer or deep frontal clouds. However, for low-level clouds, the model significantly underestimates the observed cloud liquid water content in both seasons and cloud fraction in the Spring season. As a result, CAM5 significantly underestimates the surface downward longwave (LW) radiative fluxes by 20-40 W m-2. The model with a new ice nucleation parameterization moderately improves the model simulations by increasing cloud liquid water content in mixed-phase clouds through the reduction of the conversion rate from cloud liquid to ice by the Wegener-Bergeron- Findeisen (WBF) process. The CAM5 single column model testing shows that change in the homogeneous freezing temperature of rain to form snow from -5 C to -40 C has a substantial impact on the modeled liquid water content through the slowing-down of liquid and rain-related processes. In contrast, collections of cloud ice by snow and cloud liquid by rain are of minor importance for single-layer boundary layer mixed-phase clouds in the Arctic.

Liu, Xiaohong; Xie, Shaocheng; Boyle, James; Klein, Stephen A.; Shi, Xiangjun; Wang, Zhien; Lin, Wuyin; Ghan, Steven J.; Earle, Michael; Liu, Peter; Zelenyuk, Alla

2011-12-24T23:59:59.000Z

132

A 20-Year Dataset of Downwelling Longwave Flux at the Arctic Surface from TOVS Satellite Data  

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

20-Year Dataset of Downwelling Longwave Flux 20-Year Dataset of Downwelling Longwave Flux at the Arctic Surface from TOVS Satellite Data J. Francis Rutgers University New Brunswick, New Jersey A. Schweiger Polar Science Center University of Washington Seattle, Washington J. Key National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service Madison, Wisconsin Introduction This paper summarizes the progress of a study under way to generate a 20-year dataset of surface downwelling longwave flux (DLF) retrievals from satellite data over the Arctic Ocean. We will produce daily fields between late 1979 and late 1998 on a grid with a spatial resolution of 100 km x 100 km 2 north of 60°N. Surface measurements from the Surface Heat Budget of the Arctic (SHEBA) and the

133

Cloud Computing  

SciTech Connect (OSTI)

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

Pete Beckman and Ian Foster

2009-12-04T23:59:59.000Z

134

NOAA Atlas NESDIS 58 CLIMATIC ATLAS OF THE ARCTIC SEAS 2004  

E-Print Network [OSTI]

NOAA Atlas NESDIS 58 CLIMATIC ATLAS OF THE ARCTIC SEAS 2004: Part I. Database of the Barents, Kara, and Information Service #12;World Data Center for Oceanography, Silver Spring International Ocean Atlas and Information Series, Volume 9 NOAA Atlas NESDIS 58 2004: I

135

Data/model integration for vertical mixing in the stable Arctic boundary layer  

SciTech Connect (OSTI)

This is the final report of a short Laboratory Directed Research and Development (LDRD) project at Los Alamos National Laboratory (LANL). Data on atmospheric trace constituents and the vertical structure of stratus clouds from a 1996 expedition to the central Arctic reveal mechanisms of vertical mixing that have not been observed in mid-latitudes. Time series of the altitude and thickness of summer arctic stratus have been observed using an elastic backscatter lidar aboard an icebreaker. With the ship moored to the pack ice during 14 data collection stations and the lidar staring vertically, the time series represent advected cloud fields. The lidar data reveal a significant amount of vertical undulation in the clouds, strongly suggestive of traveling waves in the buoyantly damped atmosphere that predominates in the high Arctic. Concurrent observations of trace gases associated with the natural sulfur cycle (dimethyl sulfide, SO{sub 2}, NH{sub 3}, H{sub 2}O{sub 2}) and aerosols show evidence of vertical mixing events that coincide with a characteristic signature in the cloud field that may be called dropout or lift out. A segment of a cloud deck appears to be relocated from the otherwise quasicontinuous layer to another altitude a few hundred meters lower or higher. Atmospheric models have been applied to identify the mechanism that cause the dropout phenomenon and connect it dynamically to the surface layer mixing.

Barr, S.; ReVelle, D.O.; Kao, C.Y.J.; Bigg, E.K.

1998-12-31T23:59:59.000Z

136

FY 2010 Second Quarter Report Evaluation of the Liu-Daum-McGraw (LDM) Drizzle Threshold Parameterization using Measurements from the VAMOS Ocean-Cloud-Atmosphere Land Study (VOCALS) Field Campaign  

SciTech Connect (OSTI)

Metric for Quarter 2: Evaluate LDM (Liu, Daum, McGraw) drizzle threshold parameterization for a range of cloud conditions by comparing the threshold function computed using measurements of cloud droplet number concentration and cloud liquid water content to measurements of drizzle droplet number concentrations and/or drizzle water content.

McGraw, R; Kleinman, LI; Springston, SR; Daum, PH; Senum, G; Wang, J

2011-04-04T23:59:59.000Z

137

Cloud Computing at NERSC  

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

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

138

Polychlorinated Biphenyls, Hexachlorocyclohexanes and Hexachlorobenzene in Seawater and Phytoplankton from the Southern Ocean (Weddell, South Scotia, and Bellingshausen Seas)  

Science Journals Connector (OSTI)

(52) When compared with similar polar areas, the dissolved concentrations in the Southern Ocean are similar to those reported for the Sub-Arctic and Arctic Oceans. ... (44, 56-58) Conversely, Tanabe and Tatsukawa(59) reported longer half-lives (5–10 years) in the oligotrophic ocean (subtropical oceanic gyres). ... Consistent with the trends reported by Berrojalbiz,(42)CP values for PCBs were correlated with B by a power function such as the following:(4)where m and a are the slope and independent term from the least-squares linear regression, respectively. ...

Cristóbal J. Galbán-Malagón; Sabino Del Vento; Naiara Berrojalbiz; María-José Ojeda; Jordi Dachs

2013-04-29T23:59:59.000Z

139

Development, sensitivity analysis, and uncertainty quantification of high-fidelity arctic sea ice models.  

SciTech Connect (OSTI)

Arctic sea ice is an important component of the global climate system and due to feedback effects the Arctic ice cover is changing rapidly. Predictive mathematical models are of paramount importance for accurate estimates of the future ice trajectory. However, the sea ice components of Global Climate Models (GCMs) vary significantly in their prediction of the future state of Arctic sea ice and have generally underestimated the rate of decline in minimum sea ice extent seen over the past thirty years. One of the contributing factors to this variability is the sensitivity of the sea ice to model physical parameters. A new sea ice model that has the potential to improve sea ice predictions incorporates an anisotropic elastic-decohesive rheology and dynamics solved using the material-point method (MPM), which combines Lagrangian particles for advection with a background grid for gradient computations. We evaluate the variability of the Los Alamos National Laboratory CICE code and the MPM sea ice code for a single year simulation of the Arctic basin using consistent ocean and atmospheric forcing. Sensitivities of ice volume, ice area, ice extent, root mean square (RMS) ice speed, central Arctic ice thickness, and central Arctic ice speed with respect to ten different dynamic and thermodynamic parameters are evaluated both individually and in combination using the Design Analysis Kit for Optimization and Terascale Applications (DAKOTA). We find similar responses for the two codes and some interesting seasonal variability in the strength of the parameters on the solution.

Peterson, Kara J.; Bochev, Pavel Blagoveston; Paskaleva, Biliana S.

2010-09-01T23:59:59.000Z

140

Cloud Computing.  

E-Print Network [OSTI]

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

Siddiqui, Muhammad Anas

2013-01-01T23:59:59.000Z

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


141

Cloud Computing Fundamentals  

Science Journals Connector (OSTI)

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

Borko Furht

2010-01-01T23:59:59.000Z

142

A 22-Year Dataset of Surface Longwave Fluxes in the Arctic  

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

22-Year Dataset of Surface Longwave Fluxes 22-Year Dataset of Surface Longwave Fluxes in the Arctic J. Francis and J. Secora Institute of Marine and Coastal Sciences Rutgers University New Brunswick, New Jersey Abstract Downwelling longwave fluxes (DLFs) over the Arctic surface have been generated from 22.5 years of radiances and retrievals from the TIROS (television and infrared observation satellite) operational vertical sounder (TOVS). The flux retrieval algorithm has been validated and improved using surface- based radiation and cloud observations from the Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) site in Barrow, Alaska, and from the Surface Heat Balance of the Arctic (SHEBA) field program (1997-98) in the Beaufort Sea. The DLF product is presented on a 100 x

143

Time varying arctic climate change amplification  

SciTech Connect (OSTI)

During the past 130 years the global mean surface air temperature has risen by about 0.75 K. Due to feedbacks -- including the snow/ice albedo feedback -- the warming in the Arctic is expected to proceed at a faster rate than the global average. Climate model simulations suggest that this Arctic amplification produces warming that is two to three times larger than the global mean. Understanding the Arctic amplification is essential for projections of future Arctic climate including sea ice extent and melting of the Greenland ice sheet. We use the temperature records from the Arctic stations to show that (a) the Arctic amplification is larger at latitudes above 700 N compared to those within 64-70oN belt, and that, surprisingly; (b) the ratio of the Arctic to global rate of temperature change is not constant but varies on the decadal timescale. This time dependence will affect future projections of climate changes in the Arctic.

Chylek, Petr [Los Alamos National Laboratory; Dubey, Manvendra K [Los Alamos National Laboratory; Lesins, Glen [DALLHOUSIE U; Wang, Muyin [NOAA/JISAO

2009-01-01T23:59:59.000Z

144

Editorial: Arctic marine biodiversity under change  

Science Journals Connector (OSTI)

Marine biodiversity in the Arctic is changing in response...2011). The Arctic region has become warmer in the past three decades (ACIA 2005), and most global climate models indicate a continued, likely accelerate...

Haakon Hop; Tore Haug; Stig Falk-Petersen

2011-09-01T23:59:59.000Z

145

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 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 significant infrared cooling and solar heating (during the warm season) rates that can affect the growth of water drops and ice crystals, and therefore the strength of the Bergeron process. To examine the influence of radiative heating and cooling on the Bergeron process, we incorporate a

146

Variations in the age of Arctic sea-ice and summer sea-ice extent Ignatius G. Rigor1,2  

E-Print Network [OSTI]

. On time scales of days to weeks, wind stresses from storms produce ridges of sea-ice and areas of openVariations in the age of Arctic sea-ice and summer sea-ice extent Ignatius G. Rigor1,2 and John M] Three of the past six summers have exhibited record low sea-ice extent on the Arctic Ocean. These minima

Rigor, Ignatius G.

147

Warm ocean processes and carbon cycling in the Eocene  

Science Journals Connector (OSTI)

...of the marine biological pump has also been emphasized...cloud formation, latent heat transfer to the atmosphere...affected the biological pump, that is, the biologically...Observational evidence for an ocean heat pump induced by tropical cyclones...

2013-01-01T23:59:59.000Z

148

Physical Characterization of Tropical Oceanic Convection Observed in KWAJEX  

Science Journals Connector (OSTI)

The Tropical Rainfall Measuring Mission (TRMM) Kwajalein Experiment (KWAJEX) was designed to obtain an empirical physical characterization of precipitating convective clouds over the tropical ocean. Coordinated datasets were collected by three ...

Sandra E. Yuter; Robert A. Houze Jr.; Eric A. Smith; Thomas T. Wilheit; Edward Zipser

2005-04-01T23:59:59.000Z

149

GEOPHYSICAL RESEARCH LETTERS, VOL. ???, XXXX, DOI:10.1029/, Projected decline in spring snow depth on Arctic sea ice caused  

E-Print Network [OSTI]

to be a factor in sea ice loss but also with competing effects. Snow accumulation on top of sea ice insulates on Arctic sea ice caused by progressively later autumn open ocean freeze-up this century P.J. Hezel1 , X- tic sea ice in the Coupled Model Intercomparison Project 5 (CMIP5) because of its importance for sea

Bitz, Cecilia

150

Ocean Acidification  

Science Journals Connector (OSTI)

Ocean Acidification ... The first assignment I give my students in Environmental Modeling class is to calculate the mass of the oceans versus the mass of the atmosphere and the “living” soil. ... As a young chemical engineer in the early 1970s, I remember discussing the horrors of sulfur and particulate pollution from steel mills, smelters, and power plants. ...

Jerald L. Schnoor

2013-11-05T23:59:59.000Z

151

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

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

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

152

Dynamic Cloud Infrastructure.  

E-Print Network [OSTI]

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

Gundersen, Espen

2012-01-01T23:59:59.000Z

153

Securing Cloud Storage Service.  

E-Print Network [OSTI]

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

Zapolskas, Vytautas

2012-01-01T23:59:59.000Z

154

Air monitoring in the Arctic: Results for selected persistent organic pollutants for 1992  

SciTech Connect (OSTI)

The Arctic is generally considered to be a pristine environment and has few direct inputs of organochlorine compounds (OCs), including pesticides, herbicides, polychlorinated biphenyls, or polycyclic aromatic hydrocarbons (PAHs). In spite of this, airborne concentrations of persistent organic pollutants (POPs) are comparable to those in more populated and industrialized regions of North America and Europe. Atmospheric transport and condensation of compounds at low temperature conditions are important factors contributing to the presence of contaminants in the Arctic. A long-term program has been established to measure the airborne concentrations of POPs in the Arctic. The first station at Alert was established in January 1992. The concentrations measured in the first year of monitoring for 18 compounds that are representative of different compound classes are presented. Seasonal variations for PAHs are similar to those for Arctic haze and peak during winter. For example, in the coldest period, october to April, benzo[a]pyrene concentrations were found to average 20 pg/m{sup 3}, whereas, in contrast, during the relatively warm May to September period, average levels were 1.0 pg/m{sup 3}. For OCs, the seasonal cycle was not as pronounced as that for PAH compounds. For example, {alpha}-hexachlorocyclohexane was found at Alert at average concentrations of 62 and 57 pg/m{sup 3}, respectively, during cold and warm periods. It is postulated that air concentrations are influenced by advection from distant source regions as well as exchange with local (Arctic Ocean) surfaces.

Fellin, P.; Dougherty, D. [BOVAR Environmental, Toronto, Ontario (Canada); Barrie, L.A.; Toom, D. [Environment Canada, Toronto, Ontario (Canada); Muir, D.; Grift, N.; Lockhart, L.; Billeck, B. [Freshwater Inst., Winnipeg, Manitoba (Canada)

1996-03-01T23:59:59.000Z

155

Arctic Change 2009 Woodgate Wk 4 -Mon Typical Arctic profiles  

E-Print Network [OSTI]

a cold (halocline) layer, which insulates the ice from the warm Atlantic water beneath (Shimada et al -divided into 2 channels by the Diomede Islands - split by the US- Russian border -ice covered from in the Arctic Implicated in the seasonal melt-back of ice In summer, Pacific waters are a source of near

Washington at Seattle, University of

156

Using Doppler spectra to separate hydrometeor populations and analyze ice precipitation in multilayered mixed-phase clouds  

SciTech Connect (OSTI)

Multimodality of cloud radar Doppler spectra is used to partition cloud particle phases and to separate distinct ice populations in the radar sample volume, thereby facilitating analysis of individual ice showers in multilayered mixed-phase clouds. A 35-GHz cloud radar located at Barrow, Alaska, during the Mixed-Phase Arctic Cloud Experiment collected the Doppler spectra. Data from a pair of collocated depolarization lidars confirmed the presence of two liquid cloud layers reported in this study. Surprisingly, both of these cloud layers were embedded in ice precipitation yet maintained their liquid. Our spectral separation of the ice precipitation yielded two distinct ice populations: ice initiated within the two liquid cloud layers and ice precipitation formed in higher cloud layers. Comparisons of ice fall velocity versus radar reflectivity relationships derived for distinct showers reveal that a single relationship might not properly represent the ice showers during this period.

Rambukkange, Mahlon P.; Verlinde, J.; Eloranta, E. W.; Flynn, Connor J.; Clothiaux, Eugene E.

2011-01-31T23:59:59.000Z

157

Pliocene palaeoceanography of the Arctic Ocean and subarctic seas  

Science Journals Connector (OSTI)

...America and Eurasia (e.g. Fronval Jansen 1996; Mudelsee Raymo 2005). Since the...strongly discontinuous records (Fronval Jansen 1996; Haug et al. 2005). In the Atlantic...that persisted until ca 3Ma (Fronval Jansen 1996). St. John Krissek (2002) assumed...

2009-01-01T23:59:59.000Z

158

ARM - Field Campaign - Surface Heat Budget of the Arctic Ocean...  

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

GNDRAD Ground Radiometers on Stand for Upwelling Radiation Browse Data IRT Infrared Thermometer Browse Data MFRSR Multifilter Rotating Shadowband Radiometer Browse Data MWR...

159

Mendeleev Ridge The Arctic Crossroads  

E-Print Network [OSTI]

halocline" waters, which insulate the ice from the underlying warm Atlantic waters, come from the Arctic, wind, currents and ice motion in the region of the Chukchi Borderland 4. Some of the boundary current heat. Its fate can influence ice thickness. 2. The Pacific waters carry nutrients. The fate

Washington at Seattle, University of

160

Ocean Energy  

Science Journals Connector (OSTI)

Some of these technologies are taking off from very low power capacities, although with an intense activity....4, 5] including La Rance tidal power station calculate a capacity of ocean energy facilities worldwid...

Ricardo Guerrero-Lemus; José Manuel Martínez-Duart

2013-01-01T23:59:59.000Z

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


161

ISLAND AND SHIP TRAIL CLOUDS: THE ROSETTA STONE OF CLOUDS, POLLUTION, AND CLIMATE?  

SciTech Connect (OSTI)

Cloud/Climate Feedback is a combination of words known to be important but extremely difficult to quantify or even assign a direction. A 4 % increase in boundary layer clouds would cool the earth as much as a doubling of CO{sub 2} would warm it (Randall et al, 1984). Studies have shown that warmer sea surface temperatures are associated with fewer clouds (Oreopoulos and Davies, 1992). We do not know how much of this effect is due to direct solar warming of surface water in the absence of clouds. We also know there are more eastern ocean marine boundary layer clouds in summer than winter. Do warmer sea surface temperatures or more summer-like conditions best represent global warming? Twomey, 1974 has proposed that increasing aerosol pollution would lead to brighter clouds (indirect aerosol effect). This relationship does have determined sign (i.e. cooling) but is very difficult to quantify. Cloud trails from ships and islands hold the potential of addressing Cloud/Climate Feedback by observing atmospheric response to large perturbations in turbulence and aerosol. However, before cloud trails can be used as a Rosetta Stone connecting pollution and climate, much more needs to be understood about the micro- and macrophysics of cloud trails.

W. PORCH; S. WINIECKI; L. O'STEEN

2001-06-01T23:59:59.000Z

162

ARM - PI Product - Cloud-Scale Vertical Velocity and Turbulent Dissipation  

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

ProductsCloud-Scale Vertical Velocity and Turbulent ProductsCloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals 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-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals Site(s) NSA General Description Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May

163

Cloud Computing Adam Barker  

E-Print Network [OSTI]

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

St Andrews, University of

164

Recent Arctic Sea Ice Variability: Connections to the Arctic Oscillation and the ENSO  

E-Print Network [OSTI]

of regional and global climate through the ice albedo feed- back, insulating effect, deep water formationRecent Arctic Sea Ice Variability: Connections to the Arctic Oscillation and the ENSO Jiping Liu; accepted 20 April 2004; published 13 May 2004. [1] Trends in the satellite-derived Arctic sea ice

165

Relative importance of multiple factors on terrestrial loading of DOC to Arctic river networks  

SciTech Connect (OSTI)

Terrestrial carbon dynamics influence the contribution of dissolved organic carbon (DOC) to river networks in addition to controlling carbon fluxes between the land surface and the atmosphere. In this study, we use a biogeochemical process model to simulate the lateral transfer of DOC from land to the Arctic Ocean via riverine transport. We estimate that the pan-arctic watershed has contributed, on average, 32 Tg C/yr of DOC to the Arctic Ocean over the 20th century with most coming from the extensive area of boreal deciduous needle-leaved forests and forested wetlands in Eurasian watersheds. We also estimate that the rate of terrestrial DOC loading has been increasing by 0.037 Tg C/yr2 over the 20th century primarily as a result of increases in air temperatures and precipitation. These increases have been partially compensated by decreases in terrestrial DOC loading caused by wildfires. Other environmental factors (CO2 fertilization, ozone pollution, atmospheric nitrogen deposition, timber harvest, agriculture) are estimated to have relatively small effects on terrestrial DOC loading to arctic rivers. The effects of the various environmental factors on terrestrial carbon dynamics have both compensated and enhanced concurrent effects on hydrology to influence terrestrial DOC loading. Future increases in riverine DOC concentrations and export may occur from warming-induced increases in terrestrial DOC production associated with enhanced microbial metabolism and the exposure of additional organic matter from permafrost degradation along with decreases in water yield associated with warming-induced increases in evapotranspiration. Improvements in simulating terrestrial DOC loading to pan-arctic rivers in the future will require better information on the spatial distribution of precipitation and its temporal trends, carbon dynamics of larch-dominated ecosystems in eastern Siberia, and the role of industrial organic effluents on carbon budgets of rivers in western Russia.

Kicklighter, David W. [Ecosystem Center, The] [Ecosystem Center, The; Hayes, Daniel J [ORNL] [ORNL; Mcclelland, James W [University of Texas] [University of Texas; Peterson, Bruce [Marine Biological Laboratory] [Marine Biological Laboratory; Mcguire, David [University of Alaska] [University of Alaska; Melillo, Jerry [Marine Biological Laboratory] [Marine Biological Laboratory

2014-01-01T23:59:59.000Z

166

Cloud Tracking in Cloud-Resolving Models  

E-Print Network [OSTI]

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

Plant, Robert

167

Cloud Computing: Rain-Clouds System  

E-Print Network [OSTI]

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

Harinder Kaur

168

Can a Convective Cloud Feedback Help to Eliminate Winter Sea Ice at High CO2 Concentrations?  

E-Print Network [OSTI]

have remote effects on global climate as well. Accurate forecasting of winter sea ice has significantCan a Convective Cloud Feedback Help to Eliminate Winter Sea Ice at High CO2 Concentrations? DORIAN) ABSTRACT Winter sea ice dramatically cools the Arctic climate during the coldest months of the year and may

Tziperman, Eli

169

COLLABORATIVE RESEARCH: TOWARDS ADVANCED UNDERSTANDING AND PREDICTIVE CAPABILITY OF CLIMATE CHANGE IN THE ARCTIC USING A HIGH-RESOLUTION REGIONAL ARCTIC CLIMATE SYSTEM MODEL  

SciTech Connect (OSTI)

The motivation for this project was to advance the science of climate change and prediction in the Arctic region. Its primary goals were to (i) develop a state-of-the-art Regional Arctic Climate system Model (RACM) including high-resolution atmosphere, land, ocean, sea ice and land hydrology components and (ii) to perform extended numerical experiments using high performance computers to minimize uncertainties and fundamentally improve current predictions of climate change in the northern polar regions. These goals were realized first through evaluation studies of climate system components via one-way coupling experiments. Simulations were then used to examine the effects of advancements in climate component systems on their representation of main physics, time-mean fields and to understand variability signals at scales over many years. As such this research directly addressed some of the major science objectives of the BER Climate Change Research Division (CCRD) regarding the advancement of long-term climate prediction.

Gutowski, William J.

2013-02-07T23:59:59.000Z

170

1  

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

Radar-Based Retrievals of Cloud Properties in the Arctic and New Results from SHEBA M. D. Shupe Science and Technology Corporation National Oceanic and Atmospheric Administration...

171

Cloud Security by Max Garvey  

E-Print Network [OSTI]

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

Tolmach, Andrew

172

Cloud Computing For Bioinformatics  

E-Print Network [OSTI]

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

Ferrara, Katherine W.

173

Next-Generation Ecosystem Experiments NGEE Arctic Quarterly Report  

E-Print Network [OSTI]

to improve representation of the Arctic in Earth System Models Topography influences snow cover, thermal

174

E-Print Network 3.0 - arctic european russia Sample Search Results  

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

12;NOAA Arctic Tiger Team Laura K. Furgione Deputy Assistant Administrator National Weather Service... Evidence of a Changing Arctic NOAA's Evolving Role in the Arctic...

175

E-Print Network 3.0 - arctic energy technology Sample Search...  

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

12;NOAA Arctic Tiger Team Laura K. Furgione Deputy Assistant Administrator National Weather Service... Evidence of a Changing Arctic NOAA's Evolving Role in the Arctic...

176

E-Print Network 3.0 - arctic spring site Sample Search Results  

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

12;NOAA Arctic Tiger Team Laura K. Furgione Deputy Assistant Administrator National Weather Service... Evidence of a Changing Arctic NOAA's Evolving Role in the Arctic...

177

Cloud Computing og availability  

E-Print Network [OSTI]

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

Christensen, Henrik Bærbak

178

Climatological Data for Clouds Over the Globe from Surface Observations  

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

for Clouds Over the Globe from Surface Observations for Clouds Over the Globe from Surface Observations (1988) (NDP-026) DOI: 10.3334/CDIAC/cli.ndp026 data Data Investigators C. J. Hahn, S. G. Warren, J. London, R. L. Jenne, and R. M. Chervin With some data from as early as 1930, global long-term monthly and/or seasonal total cloud cover, cloud type amounts and frequencies of occurrence, low cloud base heights, harmonic analyses of annual and diurnal cycles, interannual variations and trends, and cloud type co-occurrences have been compiled and presented in two atlases (Warren et al. 1988, 1990). These data were derived from land and ship synoptic weather reports from the "SPOT" archive of the Fleet Numerical Oceanography Center (FNOC) and from Release 1 of the Comprehensive Ocean-Atmosphere Data Set (COADS) for

179

Federal Cloud Computing: The Definitive Guide for Cloud Service Providers  

Science Journals Connector (OSTI)

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

Matthew Metheny

2012-12-01T23:59:59.000Z

180

Oceans '88  

SciTech Connect (OSTI)

These proceedings discuss the following papers: Solid waste disposal crisis; Plastics in Ocean; Continental shelf environmental research; Seafood technology advancements; Gulf of Mexico chemosynthetic petroleum seep communities; Water reuse on onshore mariculture and processing facilities; Oil and gas industry conflicts on the outer continental shelf; Cumulative environmental effects of the oil and gas leasing program; Oil and gas exploration; and Oil and gas resource management; Aids to navigation systems and equipment; and Surveillance experiments.

Not Available

1988-01-01T23:59:59.000Z

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


181

NATIONAL OCEANIC AND ATMOSPHERIC  

E-Print Network [OSTI]

, the discovery has implications for future shipping in the region. Census of Arctic Marine Life #12;Recent (2005 Antarctic Marine Living Resource Survey 6 Short-term Arctic Predictability 7 Advances in Satellite Products's Data, Information for IPY 11 NOAA's Change Detection Strategy 12 Decision support for increasing

Kuligowski, Bob

182

Measurements with an Automatically Recording Inverted Echo Sounder; ARIES and the Bubble Clouds  

Science Journals Connector (OSTI)

We report here analysis of the first observations with a new instrument, ARIES, designed to record the acoustic backscatter from bubble clouds at several levels below the surface of the ocean. The instrument is deployed on a subsurface mooring ...

S. A. Thorpe

1986-08-01T23:59:59.000Z

183

On Demand Surveillance Service in Vehicular Cloud  

E-Print Network [OSTI]

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

Weng, Jui-Ting

2013-01-01T23:59:59.000Z

184

Springtime Arctic haze contributions of submicron organic particles from European and Asian combustion sources  

E-Print Network [OSTI]

The composition of Arctic aerosol, especially during the springtime Arctic haze, may play an important role in the radiative balance of the Arctic. The contribution of organic components to Arctic haze has only recently ...

Kroll, Jesse

185

Posters Ship-Based Measurements of Cloud Optical Properties  

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

7 7 Posters Ship-Based Measurements of Cloud Optical Properties During the Atlantic Stratocumulus Transition Experiment A. B. White Cooperative Institute for Research in Environmental Sciences University of Colorado at Boulder National Oceanic and Atmospheric Administration Boulder, Colorado C. W. Fairall National Oceanic and Atmospheric Administration Environmental Research Laboratories Environmental Technology Laboratory Boulder, Colorado Introduction The Atlantic Stratocumulus Transition Experiment (ASTEX), conducted in June 1992, was designed with the broad goal of improving the dynamical, radiative, and microphysical models of marine boundary layer (MBL) clouds. This goal was pursued by combining measurements from a number of different platforms including aircraft,

186

Cloud Computing For Bioinformatics  

E-Print Network [OSTI]

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

Ferrara, Katherine W.

187

Chapter 4 - Ocean Thermal Energy Converters  

Science Journals Connector (OSTI)

Publisher Summary The most plentiful renewable energy source on the planet is solar radiation. Harvesting this energy is difficult because of its dilute and erratic nature. Large collecting areas and large storage capacities are needed. These two requirements are satisfied by the tropical oceans. Oceans cover 71% of Earth's surface. In the tropics, they absorb sunlight, and the top layers heat up to some 25°C. Warm surface waters from the equatorial belt flow poleward, melting both the Arctic and the Antarctic ice. The resulting cold waters return to the equator at great depth, completing a huge planetary thermosyphon. Two basic configurations have been proposed for ocean thermal energy converters (OTECs)—those using hydraulic turbines and those using vapor turbines. The first uses the temperature difference between the surface and bottom waters to create a hydraulic head that drives a conventional water turbine. The advantages of this proposal include the absence of heat exchangers. It is easier to find warm surface water than sufficiently cool abyssal waters, which are not readily available in continental shelf regions. This limits the possible sitings of ocean thermal energy converters.

Aldo Vieira da Rosa

2009-01-01T23:59:59.000Z

188

Changes in Dimethyl Sulfide Oceanic Distribution due to Climate Change  

SciTech Connect (OSTI)

Dimethyl sulfide (DMS) is one of the major precursors for aerosols and cloud condensation nuclei in the marine boundary layer over much of the remote ocean. Here they report on coupled climate simulations with a state-of-the-art global ocean biogeochemical model for DMS distribution and fluxes using present-day and future atmospheric CO{sub 2} concentrations. They find changes in zonal averaged DMS flux to the atmosphere of over 150% in the Southern Ocean. This is due to concurrent sea ice changes and ocean ecosystem composition shifts caused by changes in temperature, mixing, nutrient, and light regimes. The largest changes occur in a region already sensitive to climate change, so any resultant local CLAW/Gaia feedback of DMS on clouds, and thus radiative forcing, will be particularly important. A comparison of these results to prior studies shows that increasing model complexity is associted with reduced DMS emissions at the equator and increased emissions at high latitudes.

Cameron-Smith, P; Elliott, S; Maltrud, M; Erickson, D; Wingenter, O

2011-02-16T23:59:59.000Z

189

Atlantic Ocean CARINA data: overview and salinity adjustments  

SciTech Connect (OSTI)

Water column data of carbon and carbon-relevant hydrographic and hydrochemical parameters from 188 previously non-publicly available cruise data sets in the Arctic Mediterranean Seas, Atlantic and Southern Ocean have been retrieved and merged into a new database: CARINA (CARbon dioxide IN the Atlantic Ocean). The data have gone through rigorous quality control procedures to assure the highest possible quality and consistency. The data for the pertinent parameters in the CARINA database were objectively examined in order to quantify systematic differences in the reported values, i.e. secondary quality control. Systematic biases found in the data have been corrected in the three data products: merged data files with measured, calculated and interpolated data for each of the three CARINA regions, i.e. the Arctic Mediterranean Seas, the Atlantic and the Southern Ocean. These products have been corrected to be internally consistent. Ninety-eight of the cruises in the CARINA database were conducted in the Atlantic Ocean, defined here as the region south of the Greenland-Iceland-Scotland Ridge and north of about 30 S. Here we present an overview of the Atlantic Ocean synthesis of the CARINA data and the adjustments that were applied to the data product. We also report the details of the secondary QC (Quality Control) for salinity for this data set. Procedures of quality control including crossover analysis between stations and inversion analysis of all crossover data are briefly described. Adjustments to salinity measurements were applied to the data from 10 cruises in the Atlantic Ocean region. Based on our analysis we estimate the internal consistency of the CARINA-ATL salinity data to be 4.1 ppm. With these adjustments the CARINA data products are consistent both internally was well as with GLODAP data, an oceanographic data set based on the World Hydrographic Program in the 1990s, and is now suitable for accurate assessments of, for example, oceanic carbon inventories and uptake rates and for model validation.

Tanhua, T. [IFM-GEOMAR, Leibniz Institute for Marine Sciences, Chemical Oceanography, Kiel, Germany; Steinfeldt, R. [University of Bremen, Bremen, Germany; Key, Robert [Princeton University; Brown, P. [University of East Anglia, Norwich, United Kingdom; Gruber, N. [ETH Zurich, Switzerland; Wanninkhof, R. [Atlantic Oceanographic & Meteorological Laboratory, NOAA; Perez, F.F. [Instituto de Investigaciones Marinas de Vigo, CSIC, Vigo, Spain; Kortzinger, A. [IFM-GEOMAR, Leibniz Institute for Marine Sciences, Chemical Oceanography, Kiel, Germany; Velo, A. [Instituto de Investigaciones Marinas de Vigo, CSIC, Vigo, Spain; Schuster, U. [University of East Anglia, Norwich, United Kingdom; Van Heuven, S. [University of Groningen, The Netherlands; Bullister, J.L. [NOAA Pacific Marine Environmental Laboratory; Stendardo, I. [ETH Zurich, Switzerland; Hoppema, M. [Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany; Olsen, Are [Bjerknes Centre for Climate Research, UNIFOB AS, Bergen, Norway; Kozyr, Alexander [ORNL; Pierrot, D. [Cooperative Institute of Marine and Atmospheric Sciences, U. Miami; Schirnick, C. [IFM-GEOMAR, Leibniz Institute for Marine Sciences, Chemical Oceanography, Kiel, Germany; Wallace, D.W.R. [IFM-GEOMAR, Leibniz Institute for Marine Sciences, Chemical Oceanography, Kiel, Germany

2010-01-01T23:59:59.000Z

190

Climate science: Vast costs of Arctic change  

Science Journals Connector (OSTI)

... As the amount of Arctic sea ice declines at an unprecedented rate, the thawing of offshore permafrost releases methane. A 50-gigatonne (Gt) reservoir of methane, stored in the ...

Gail Whiteman; Chris Hope; Peter Wadhams

2013-07-24T23:59:59.000Z

191

BLM Arctic Field Office | Open Energy Information  

Open Energy Info (EERE)

vast area covered by the Arctic Field Office includes the 23-million-acre National Petroleum Reserve - Alaska, the largest block of federal land managed by a single agency. The...

192

Application of Stochastic Radiative Transfer Theory to the ARM Cloud-Radiative Parameterization Problem  

SciTech Connect (OSTI)

This project had two primary goals: (1) development of stochastic radiative transfer as a parameterization that could be employed in an AGCM environment, and (2) exploration of the stochastic approach as a means for representing shortwave radiative transfer through mixed-phase layer clouds. To achieve these goals, climatology of cloud properties was developed at the ARM CART sites, an analysis of the performance of the stochastic approach was performed, a simple stochastic cloud-radiation parameterization for an AGCM was developed and tested, a statistical description of Arctic mixed phase clouds was developed and the appropriateness of stochastic approach for representing radiative transfer through mixed-phase clouds was assessed. Significant progress has been made in all of these areas and is detailed in the final report.

Dana E. Veron

2012-04-09T23:59:59.000Z

193

Climate Dynamics Diagnosis of the Marine Low Cloud Simulation in the NCAR Community Earth System  

E-Print Network [OSTI]

-of-the-art coupled atmosphere-ocean models: the NCAR Community Earth System Model (CESM) and the NCEP Global of the Marine Low Cloud Simulation in the NCAR1 Community Earth System Model (CESM) and the NCEP Global2Climate Dynamics Diagnosis of the Marine Low Cloud Simulation in the NCAR Community Earth System

Bretherton, Chris

194

Ocean | Open Energy Information  

Open Energy Info (EERE)

Related Links List of Ocean Thermal Incentives Retrieved from "http:en.openei.orgwindex.php?titleOcean&oldid273467" Categories: Articles with outstanding TODO tasks Sectors...

195

Ocean Observing Ocean Observing Systems (OOS)  

E-Print Network [OSTI]

, national, and global scales. · Ocean Observing Systems serve: Fishing industry National security Coastal properties, such as salinity, temperature, and waves Satellite maps of sea surface temperature NATIONAL Integrated Ocean Observing System (IOOS) 11 REGIONAL Systems, including: MANY LOCAL Systems

Schladow, S. Geoffrey

196

ARM Cloud Aerosol Precipitation Experiment  

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

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

197

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

E-Print Network [OSTI]

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

198

An Assessment of Factors Limiting Tropical Congestus Cloud-Top Heights  

E-Print Network [OSTI]

Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment USA United States of America UTC Universal Time Constant x TABLE OF CONTENTS Page ABSTRACT...) Histogram of brightness temperatures derived from GMS IR TB data over the West Pacific, showing the five stages of cloud development (time right to left); (b) Radiosonde relative humidity composites corresponding to the times in (a...

Casey, Sean P.

2010-07-14T23:59:59.000Z

199

Mixed-Phase Cloud Retrievals Using Doppler Radar Spectra  

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

Mixed-Phase Cloud Retrievals Using Mixed-Phase Cloud Retrievals Using Doppler Radar Spectra M. D. Shupe, S. Y. Matrosov, and T. L. Schneider National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado P. Kollias Rosentiel School of Marine Atmospheric Sciences University of Miami Miami, Florida Introduction The radar Doppler spectrum contains a wealth of information on cloud microphysical properties. Typically, radar-based cloud retrievals use only the zeroth or first moments of the Doppler spectrum - reflectivity and mean Doppler velocity - to derive quantities such as cloud water content and particle characteristic size (e.g., Liou and Sassen 1994; Matrosov et al. 2002). When using only the moments of the Doppler spectrum, important spectral information can be lost, particularly when the spectrum is

200

First Observations of Tracking Clouds Using Scanning ARM Cloud Radars  

Science Journals Connector (OSTI)

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

Paloma Borque; Pavlos Kollias; Scott Giangrande

2014-12-01T23:59:59.000Z

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


201

The Pacific Ocean’s Acidification Laboratory  

Science Journals Connector (OSTI)

The Pacific Ocean’s Acidification Laboratory ... Five years ago, at the quadrennial International Coral Reef Symposium in Okinawa, Japan, a poll of the scientists and resource managers present ranked ocean acidification 38th out of a list of 39 possible threats facing reefs, recalls Rusty Brainard, head of the National Oceanic and Atmospheric Administration’s (NOAA’s) Coral Reef Ecosystem Division. ... As the oceans absorb CO2 from the atmosphere at the rate of one million tons per hour, the pH of the water is changing. ...

Christopher Pala

2009-08-05T23:59:59.000Z

202

National Strategy for the Arctic Region | Department of Energy  

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

to provide input on the National Strategy for the Arctic Region 10-year plan to develop renewable energy resources in the Arctic region. DOE supports the goals and activities of...

203

National Strategy for the Arctic Region Stakeholder Outreach...  

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

the Arctic Region Stakeholder Outreach Meeting: Kotzebue November 5, 2014 10:00AM to 12:00PM AKST Kotzebue, Alaska Northwest Arctic Heritage Center 171 3rd Ave. Kotzebue, AK 9975...

204

National Strategy for the Arctic Region Tribal Consultation Session...  

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

for the Arctic Region Tribal Consultation Session: Kotzebue November 5, 2014 1:30PM to 3:30PM AKST Kotzebue, Alaska Northwest Arctic Heritage Center 171 3rd Ave. Kotzebue, AK 9975...

205

Tuktoyaktuk : responsive strategies for a new Arctic urbanism  

E-Print Network [OSTI]

The Canadian Arctic is facing a set of compounding crises that will drastically impact the future of its coastal frontier. At a time when climate change is having a detrimental impact on the Arctic landscape, Northern ...

Ritchot, Pamela (Pamela Rae)

2011-01-01T23:59:59.000Z

206

Carbon fixation by phytoplankton in high Arctic lakes: Implications of ...  

Science Journals Connector (OSTI)

ABSTRACT: Photosynthesis vs. irradiance relationships were determined for phytoplankton communities from seven lakes in the Canadian high Arctic, including ...

207

NGEE Arctic Webcam Photographs, Barrow Environmental Observatory, Barrow, Alaska  

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

The NGEE Arctic Webcam (PTZ Camera) captures two views of seasonal transitions from its generally south-facing position on a tower located at the Barrow Environmental Observatory near Barrow, Alaska. Images are captured every 30 minutes. Historical images are available for download. The camera is operated by the U.S. DOE sponsored Next Generation Ecosystem Experiments - Arctic (NGEE Arctic) project.

Bob Busey; Larry Hinzman

208

ARM - Measurement - Cloud fraction  

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

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

209

ARM - Measurement - Cloud size  

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

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

210

North Australian Cloud Lines  

Science Journals Connector (OSTI)

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

W. Drosdowsky; G. J. Holland

1987-11-01T23:59:59.000Z

211

Radionuclides in the Arctic seas from the former Soviet Union: Potential health and ecological risks  

SciTech Connect (OSTI)

The primary goal of the assessment reported here is to evaluate the health and environmental threat to coastal Alaska posed by radioactive-waste dumping in the Arctic and Northwest Pacific Oceans by the FSU. In particular, the FSU discarded 16 nuclear reactors from submarines and an icebreaker in the Kara Sea near the island of Novaya Zemlya, of which 6 contained spent nuclear fuel (SNF); disposed of liquid and solid wastes in the Sea of Japan; lost a {sup 90}Sr-powered radioisotope thermoelectric generator at sea in the Sea of Okhotsk; and disposed of liquid wastes at several sites in the Pacific Ocean, east of the Kamchatka Peninsula. In addition to these known sources in the oceans, the RAIG evaluated FSU waste-disposal practices at inland weapons-development sites that have contaminated major rivers flowing into the Arctic Ocean. The RAIG evaluated these sources for the potential for release to the environment, transport, and impact to Alaskan ecosystems and peoples through a variety of scenarios, including a worst-case total instantaneous and simultaneous release of the sources under investigation. The risk-assessment process described in this report is applicable to and can be used by other circumpolar countries, with the addition of information about specific ecosystems and human life-styles. They can use the ANWAP risk-assessment framework and approach used by ONR to establish potential doses for Alaska, but add their own specific data sets about human and ecological factors. The ANWAP risk assessment addresses the following Russian wastes, media, and receptors: dumped nuclear submarines and icebreaker in Kara Sea--marine pathways; solid reactor parts in Sea of Japan and Pacific Ocean--marine pathways; thermoelectric generator in Sea of Okhotsk--marine pathways; current known aqueous wastes in Mayak reservoirs and Asanov Marshes--riverine to marine pathways; and Alaska as receptor. For these waste and source terms addressed, other pathways, such as atmospheric transport, could be considered under future-funded research efforts for impacts to Alaska. The ANWAP risk assessment does not address the following wastes, media, and receptors: radioactive sources in Alaska (except to add perspective for Russian source term); radioactive wastes associated with Russian naval military operations and decommissioning; Russian production reactor and spent-fuel reprocessing facilities nonaqueous source terms; atmospheric, terrestrial and nonaqueous pathways; and dose calculations for any circumpolar locality other than Alaska. These other, potentially serious sources of radioactivity to the Arctic environment, while outside the scope of the current ANWAP mandate, should be considered for future funding research efforts.

Layton, D W; Edson, R; Varela, M; Napier, B

1999-11-15T23:59:59.000Z

212

Ecology and Physics of Bacterial Chemotaxis in the Ocean  

Science Journals Connector (OSTI)

...source or sink of atmospheric CO2 (14). Marine...patches of DOC in the water column. Results...involved in cloud condensation. Several studies...released into the water column in ephemeral...assemblages to deep-sea water amendment. Environ...Production of atmospheric sulfur by oceanic...

Roman Stocker; Justin R. Seymour

2012-12-01T23:59:59.000Z

213

Observations of Stratocumulus Clouds and Their Effect on the Eastern Pacific Surface Heat Budget along 20°S  

E-Print Network [OSTI]

Widespread stratocumulus clouds were observed on nine transects from seven research cruises to the southeastern tropical Pacific Ocean along 20°S, 75°–85°W in October–November of 2001–08. The nine transects sample a unique ...

de Szoeke, Simon P.; Yuter, Sandra; Mechem, David B.; Fairall, Chris W.; Burleyson, Casey D.; Zuidema, Paquita

2012-12-01T23:59:59.000Z

214

Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing:  

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

Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: An Example from M-PACE Title Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: An Example from M-PACE Publication Type Journal Article Year of Publication 2011 Authors de Boer, Gijs, William D. Collins, Surabi Menon, and Charles N. Long Journal Atmospheric Chemistry and Physics Volume 11 Start Page 11937 Pagination 11937-11949 Abstract Measurements from ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction with a column version of the Rapid Radiative Transfer Model (RRTMG) and radiosonde measurements to derive the surface radiative properties under mixed-phase cloud conditions. These clouds were observed during the United States Department of Energy (US DOE) Atmospheric Radiation Measurement (ARM) Mixed-Phase Arctic Clouds Experiment (M-PACE) between September and November of 2004. In total, sixteen half hour time periods are reviewed due to their coincidence with radiosonde launches. Cloud liquid (ice) water paths are found to range between 11.0-366.4 (0.5-114.1) gm-2, and cloud physical thicknesses fall between 286-2075 m. Combined with temperature and hydrometeor size estimates, this information is used to calculate surface radiative flux densities using RRTMG, which are demonstrated to generally agree with measured flux densities from surface-based radiometric instrumentation. Errors in longwave flux density estimates are found to be largest for thin clouds, while shortwave flux density errors are generally largest for thicker clouds. A sensitivity study is performed to understand the impact of retrieval assumptions and uncertainties on derived surface radiation estimates. Cloud radiative forcing is calculated for all profiles, illustrating longwave dominance during this time of year, with net cloud forcing generally between 50 and 90 Wm-2.

215

Marine cloud brightening  

Science Journals Connector (OSTI)

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

2012-01-01T23:59:59.000Z

216

XSEDE Cloud Survey Report  

E-Print Network [OSTI]

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

Walter, M.Todd

217

Research Cloud Computing Recommendations  

E-Print Network [OSTI]

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

Qian, Ning

218

Ship-Track Clouds, Aerosol, and Ship Dynamic Effects; A Climate Perspective from Ship-Based Measurements  

SciTech Connect (OSTI)

Ship-track clouds are marine boundary layer clouds that form behind ocean ships and are observed from satellites in the visible and near infrared. Ship-track clouds provide a rare opportunity to connect aerosol cloud condensation nuclei (CCN) emissions and observable changes in marine stratiform clouds. A very small change in the reflectivity of these eastern Pacific and Atlantic clouds (about 4%) provides a climate feedback of similar magnitude to doubling CO{sub 2} (increasing cloud reflectivity corresponds to global cooling). The Department of Energy sponsored research from 1991 to 1995 to study ship-track clouds including two ocean-based experiments in the summers of 1991 and 1994. These experiments showed that ship-track cloud properties were often more complex those related to a reduction of droplet size with an increase in number associated with increasing CCN from the ship's plume. The clouds showed evidence of morphological changes more likely to be associated with cloud dynamic effects either initiated by the increased CCN or directly by the ship's heat output or turbulent air wake. The fact that marine stratiform clouds, that are susceptible to ship track formation, are starved for both CCN and convective turbulence complicates the separation of the two effects.

Porch, W.M.

1998-10-13T23:59:59.000Z

219

Migrating enterprise storage applications to the cloud  

E-Print Network [OSTI]

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

Vrable, Michael Daniel

2011-01-01T23:59:59.000Z

220

Arctic Energy Technology Development Laboratory  

SciTech Connect (OSTI)

The Arctic Energy Technology Development Laboratory was created by the University of Alaska Fairbanks in response to a congressionally mandated funding opportunity through the U.S. Department of Energy (DOE), specifically to encourage research partnerships between the university, the Alaskan energy industry, and the DOE. The enabling legislation permitted research in a broad variety of topics particularly of interest to Alaska, including providing more efficient and economical electrical power generation in rural villages, as well as research in coal, oil, and gas. The contract was managed as a cooperative research agreement, with active project monitoring and management from the DOE. In the eight years of this partnership, approximately 30 projects were funded and completed. These projects, which were selected using an industry panel of Alaskan energy industry engineers and managers, cover a wide range of topics, such as diesel engine efficiency, fuel cells, coal combustion, methane gas hydrates, heavy oil recovery, and water issues associated with ice road construction in the oil fields of the North Slope. Each project was managed as a separate DOE contract, and the final technical report for each completed project is included with this final report. The intent of this process was to address the energy research needs of Alaska and to develop research capability at the university. As such, the intent from the beginning of this process was to encourage development of partnerships and skills that would permit a transition to direct competitive funding opportunities managed from funding sources. This project has succeeded at both the individual project level and at the institutional development level, as many of the researchers at the university are currently submitting proposals to funding agencies, with some success.

Sukumar Bandopadhyay; Charles Chamberlin; Robert Chaney; Gang Chen; Godwin Chukwu; James Clough; Steve Colt; Anthony Covescek; Robert Crosby; Abhijit Dandekar; Paul Decker; Brandon Galloway; Rajive Ganguli; Catherine Hanks; Rich Haut; Kristie Hilton; Larry Hinzman; Gwen Holdman; Kristie Holland; Robert Hunter; Ron Johnson; Thomas Johnson; Doug Kame; Mikhail Kaneveskly; Tristan Kenny; Santanu Khataniar; Abhijeet Kulkami; Peter Lehman; Mary Beth Leigh; Jenn-Tai Liang; Michael Lilly; Chuen-Sen Lin; Paul Martin; Pete McGrail; Dan Miller; Debasmita Misra; Nagendra Nagabhushana; David Ogbe; Amanda Osborne; Antoinette Owen; Sharish Patil; Rocky Reifenstuhl; Doug Reynolds; Eric Robertson; Todd Schaef; Jack Schmid; Yuri Shur; Arion Tussing; Jack Walker; Katey Walter; Shannon Watson; Daniel White; Gregory White; Mark White; Richard Wies; Tom Williams; Dennis Witmer; Craig Wollard; Tao Zhu

2008-12-31T23:59:59.000Z

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


221

Development of Exhibit on Arctic Climate Change Called The Arctic: A Friend Acting Strangely Exhibition  

SciTech Connect (OSTI)

The exhibition, The Arctic: A Friend Acting Strangely, was developed at the Smithsonian Institution’s National Museum of Natural History (NMNH) as a part of the museum’s Forces of Change exhibit series on global change. It opened to the public in Spring 2006, in conjunction with another Forces of Change exhibit on the Earth’s atmosphere called Change Is in the Air. The exhibit was a 2000 square-foot presentation that explored the forces and consequences of the changing Arctic as documented by scientists and native residents alike. Native peoples of the Arctic have always lived with year-to-year fluctuations in weather and ice conditions. In recent decades, they have witnessed that the climate has become unpredictable, the land and sea unfamiliar. An elder in Arctic Canada recently described the weather as uggianaqtuq —an Inuit word that can suggest strange, unexpected behavior, sometimes described as that of “a friend acting strangely.” Scientists too have been documenting dramatic changes in the Arctic. Air temperatures have warmed over most—though not all—of the Arctic since the 1950s; Arctic precipitation may have increased by as much as 8%; seasonal melting of the Greenland Ice Sheet has increased on average by 16% since 1979; polar-orbiting satellites have measured a 15¬–20% decline in sea ice extent since the 1970s; aircraft reconnaissance and ship observations show a steady decrease in sea ice since the 1950s. In response to this warming, plant distributions have begun to shift and animals are changing their migration routes. Some of these changes may have beneficial effects while others may bring hardship or have costly implications. And, many scientists consider arctic change to be a ‘bell-weather’ for large-scale changes in other regions of the world. The exhibition included text, photos artifacts, hands-on interactives and other exhibitry that illustrated the changes being documented by indigenous people and scientists alike.

Stauffer, Barbara W.

2006-04-01T23:59:59.000Z

222

Causes of ocean currents  

Science Journals Connector (OSTI)

In the foregoing analysis of the ocean and the atmosphere as two interacting subsystems, we have identified two major energy inputs into the ocean. These are the wind stress over the sea surface and heat fluxe...

David Tolmazin

1985-01-01T23:59:59.000Z

223

Climatological Data For Clouds Over the Globe From Surface Observations,  

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

For Clouds Over the Globe From Surface Observations, For Clouds Over the Globe From Surface Observations, 1982-1991: The Total Cloud Edition (1994) (NDP-026a) data Data Investigators C. J. Hahn, S. G. Warren, and J. London Routine, synoptic surface weather reports from ships and land stations over the entire globe, for the10-year period December 1981 through November 1991, were processed for total cloud cover and the frequencies of occurrence of clear sky, sky-obscured due to precipitation, and sky-obscured due to fog. Archived data, consisting of various annual, seasonal and monthly averages, are provided in grid boxes that are typically 2.5° × 2.5° for land and 5° × 5° for ocean. Day and nighttime averages are also given separately for each season. Several derived quantities, such as interannual variations and annual and diurnal

224

Cloud Properties Working Group Low Clouds Update  

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

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

225

Oil exploration ramps up in US Arctic  

Science Journals Connector (OSTI)

... run in US Arctic waters since 2000, and could mark the start of the first offshore commercial drilling in the American north, although it would take another decade to establish ... although it would take another decade to establish production wells. However, many fear that offshore drilling in the challenging conditions of the north, and around sensitive and understudied ecological ...

Nicola Jones

2012-06-26T23:59:59.000Z

226

Posters Cloud Microphysical and Radiative Properties Measured  

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

7 7 Posters Cloud Microphysical and Radiative Properties Measured by Combined Lidar, Radar, and Infrared Radiometer W. L. Eberhard and J. M. Intrieri National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado K. P. Chan and G. Feingold Cooperative Institute for Research in Environmental Sciences Boulder, Colorado also an order of magnitude smaller. These features make simple approximations in scattering calculations adequate for some applications, e.g., Eberhard (1993a). They also provide some unique capabilities, especially the technique described below for measuring drop sizes. One of the four IDP tasks is to characterize cloud signatures obtained by CO 2 lidar. For instance, our earlier work discovered that depolarization from ice particles was almost

227

1  

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

Annual Cycle of Arctic Cloud Microphysics Annual Cycle of Arctic Cloud Microphysics M. D. Shupe Science and Technology Corporation National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado T. Uttal National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado S. Y. Matrosov Cooperative Institute for Research National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado Introduction Clouds are important in determining the radiative balance of the earth's atmosphere, particularly in the Arctic where there are low temperatures, low atmospheric moisture, and highly reflective ice/snow- covered surfaces. Several studies have demonstrated the importance of specific cloud microphysical

228

1  

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

Radiative Heating Rate Forcing Using Profiles of Radiative Heating Rate Forcing Using Profiles of Retrieved Arctic Cloud Microphysics M. D. Shupe Science and Technology Corporation National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado P. Zuidema National Research Council National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado T. Uttal National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado Introduction Clouds and their radiative impacts are of primary importance to the Arctic climate and, therefore, global climate. Clouds dominate the radiation balance within the cold, dry Arctic atmosphere, and cloud- radiation feedbacks are closely linked with the snow/ice-albedo feedback. Despite the importance of

229

BNL | Cloud Lifecycle Infrastructure  

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

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

230

A Community Atmosphere Model with Superparameterized Clouds  

SciTech Connect (OSTI)

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

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

2013-06-18T23:59:59.000Z

231

Ocean | Data.gov  

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

Ocean Ocean Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean Welcome to our COMMUNITY This is the National Ocean Council's portal for data, information, and decision tools to support people engaged in regional marine planning for the future use of the ocean, our coasts, and the Great Lakes. Our goal is to enhance discovery of and access to data and information for planners, stakeholders, and the public. Please visit our Feedback page to tell us what would make the site most useful to you as we expand our content. Start Here! Previous Pause Next PacIOOS - Pacific Islands Voyager PacIOOS - Pacific Islands Voyager View More West Coast Governors Alliance - Regional Data Framework West Coast Governors Alliance - Regional Data Framework View More Mid-Atlantic Ocean Data Portal

232

Cloud Feedbacks on Climate: A Challenging Scientific Problem  

SciTech Connect (OSTI)

One reason it has been difficult to develop suitable social and economic policies to address global climate change is that projected global warming during the coming century has a large uncertainty range. The primary physical cause of this large uncertainty range is lack of understanding of the magnitude and even sign of cloud feedbacks on the climate system. If Earth's cloudiness responded to global warming by reflecting more solar radiation back to space or allowing more terrestrial radiation to be emitted to space, this would mitigate the warming produced by increased anthropogenic greenhouse gases. Contrastingly, a cloud response that reduced solar reflection or terrestrial emission would exacerbate anthropogenic greenhouse warming. It is likely that a mixture of responses will occur depending on cloud type and meteorological regime, and at present, we do not know what the net effect will be. This presentation will explain why cloud feedbacks have been a challenging scientific problem from the perspective of theory, modeling, and observations. Recent research results on observed multidecadal cloud-atmosphere-ocean variability over the Pacific Ocean will also be shown, along with suggestions for future research.

Norris, Joel (Scripps Institution of Oceanography, UC San Diego) [Scripps Institution of Oceanography, UC San Diego

2010-05-10T23:59:59.000Z

233

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

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

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

234

ARM - Measurement - Cloud top height  

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

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

235

Infrared Cloud Imager Deployment at the North Slope of Alaska During Early 2002  

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

Infrared Cloud Imager Deployment Infrared Cloud Imager Deployment at the North Slope of Alaska During Early 2002 J. A. Shaw and B. Thurairajah Department of Electrical and Computer Engineering Montana State University Bozeman, Montana E. Edqvist National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado K. Mizutani Communications Research Laboratory Koganei, Tokyo, Japan Introduction Starting in February 2002, we deployed a new cloud-radiation sensor called the infrared cloud imager (ICI) at the North Slope of Alaska (NSA) site near Barrow, Alaska (71.32 N, 156.62 W). ICI records radiometrically calibrated images of the thermal infrared sky radiance in the 8µm to 14 µm wavelength band, from which spatial cloud statistics and spatially resolved cloud radiance can be determined.

236

Global Hydrometeor Occurrence as Observed by CloudSAT: Initial Observations from Summer 2006  

SciTech Connect (OSTI)

Measurements of global hydrometeor coverage and occurrence frequencies as observed by the cloud radar on CloudSat are summarized using data collected during Summer 2006. CloudSat was launched on 28 April 2006 and began collecting data routinely on 7 June 2006. In this article we document the distribution of cloudiness from the ITCZ to the Polar regions as observed by CloudSat during the first summer of operations. The overall global hydrometeor coverage as observed by CloudSat is found to be 0.506. The vertical distribution of zonally averaged hydrometeor occurrence shows the relationship of clouds with components of the atmospheric general circulation such as the Hadley Cell, the ubiquitous storms over the Southern Ocean, and the subtropical stratocumulus regimes.

Mace, Gerald G.; Marchand, Roger T.; Zhang, Qiuqing; Stephens, Graeme L.

2007-05-08T23:59:59.000Z

237

E-Print Network 3.0 - arctic pond ecosystems Sample Search Results  

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

& Permafrost Salinity Vegetation Arctic... Storage Change P + Gin -(Q + ET + Gout) S Rn - G Le + H 12;Arctic Land Water Cycle: key features Source: Houser, Paul R....

238

E-Print Network 3.0 - arctic slope annual Sample Search Results  

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

& Permafrost Salinity Vegetation Arctic... Storage Change P + Gin -(Q + ET + Gout) S Rn - G Le + H 12;Arctic Land Water Cycle: key features Source: Houser, Paul R....

239

E-Print Network 3.0 - arctic ecosystem final Sample Search Results  

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

& Permafrost Salinity Vegetation Arctic... Storage Change P + Gin -(Q + ET + Gout) S Rn - G Le + H 12;Arctic Land Water Cycle: key features Source: Houser, Paul R....

240

E-Print Network 3.0 - arctic climate change Sample Search Results  

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

- 2 THE NEW ARCTIC Climate change being observed most dramatically... Spill Arctic weather or ice conditions can suddenly change - The inexperienced will certainly...

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


241

E-Print Network 3.0 - arctic climate system Sample Search Results  

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

of ecosystems around... and Detect Arctic Climate and Ecosystem Changes 3) Improve Weather and Water Forecasts and Warnings 4... ice conditions. These changes in Arctic ......

242

E-Print Network 3.0 - arctic springtail megaphorura Sample Search...  

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

for Fish Resources of the Arctic Management Area... (Arctic FMP) and Amendment 29 to the Fishery Management Plan for Bering Sea Aleutian Islands King Source: NOAA Marine...

243

E-Print Network 3.0 - arctic cooling silentium Sample Search...  

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

12;Abstract The Arctic is melting ...fast. 12;IMPACTS OF A WARMING ARCTIC... 's Greenhouse Effect Thesur face cools by radiating heat energyupward. ... Source: Zender, Charles -...

244

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

SciTech Connect (OSTI)

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

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

2011-07-21T23:59:59.000Z

245

Cloud Computing: An Architectural Perspective .  

E-Print Network [OSTI]

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

Pandya, Hetalben

2013-01-01T23:59:59.000Z

246

BNL | Aerosol, Cloud, Precipitation Interactions  

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

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

247

Potential Oil Production from the Coastal Plain of the Arctic...  

Gasoline and Diesel Fuel Update (EIA)

Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment 2. Analysis Discussion Resource Assessment The USGS most recent...

248

Potential Oil Production from the Coastal Plain of the Arctic...  

U.S. Energy Information Administration (EIA) Indexed Site

Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment Executive Summary This Service Report, Potential Oil Production from the...

249

Model analysis of the anthropogenic aerosol effect on clouds over East Asia  

SciTech Connect (OSTI)

A coupled meteorology and aerosol/chemistry model WRF-Chem (Weather Research and Forecast model coupled with Chemistry) was used to conduct a pair of simulations with present-day (PD) and preindustrial (PI) emissions over East Asia to examine the aerosol indirect effect on clouds. As a result of an increase in aerosols in January, the cloud droplet number increased by 650 cm{sup -3} over the ocean and East China, 400 cm{sup -3} over Central and Southwest China, and less than 200 cm{sup -3} over North China. The cloud liquid water path (LWP) increased by 40-60 g m{sup -2} over the ocean and Southeast China and 30 g m{sup -2} over Central China; the LWP increased less than 5 g m{sup -2} or decreased by 5 g m{sup -2} over North China. The effective radius (Re) decreased by more than 4 {mu}m over Southwest, Central, and Southeast China and 2 {mu}m over North China. In July, variations in cloud properties were more uniform; the cloud droplet number increased by approximately 250-400 cm{sup -3}, the LWP increased by approximately 30-50 g m{sup -2}, and Re decreased by approximately 3 {mu}m over most regions of China. In response to cloud property changes from PI to PD, shortwave (SW) cloud radiative forcing strengthened by 30 W m{sup -2} over the ocean and 10 W m{sup -2} over Southeast China, and it weakened slightly by approximately 2-10 W m{sup -2} over Central and Southwest China in January. In July, SW cloud radiative forcing strengthened by 15 W m{sup -2} over Southeast and North China and weakened by 10 W m{sup -2} over Central China. The different responses of SW cloud radiative forcing in different regions was related to cloud feedbacks and natural variability.

Gao, Yi; Zhang, Meigen; Liu, Xiaohong; Zhao, Chun

2012-01-16T23:59:59.000Z

250

ARM - Measurement - Cloud extinction  

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

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

251

Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report  

SciTech Connect (OSTI)

Mixed-phase clouds are composed of a mixture of cloud droplets and ice crystals. The cloud microphysics in mixed-phase clouds can significantly impact cloud optical depth, cloud radiative forcing, and cloud coverage. However, the treatment of mixed-phase clouds in most current climate models is crude and the partitioning of condensed water into liquid droplets and ice crystals is prescribed as temperature dependent functions. In our previous 2007 ARM metric reports a new mixed-phase cloud microphysics parameterization (for ice nucleation and water vapor deposition) was documented and implemented in the NCAR Community Atmospheric Model Version 3 (CAM3). The new scheme was tested against the Atmospheric Radiation Measurement (ARM) Mixed-phase Arctic Cloud Experiment (M-PACE) observations using the single column modeling and short-range weather forecast approaches. In this report this new parameterization is further tested with CAM3 in its climate simulations. It is shown that the predicted ice water content from CAM3 with the new parameterization is in better agreement with the ARM measurements at the Southern Great Plain (SGP) site for the mixed-phase clouds.

X Liu; SJ Ghan; S Xie; J Boyle; SA Klein

2007-09-30T23:59:59.000Z

252

OCEAN THERMAL ENERGY CONVERSION PROGRAMMATIC ENVIRONMENTAL ASSESSMENT  

E-Print Network [OSTI]

Ocean Thermal Energy Conversion (OTEC) Draft Programmaticof ocean thermal energy conversion technology. U.S. Depart~on Ocean TherUial Energy Conversion, June 18, 1979. Ocean

Sands, M.Dale

2013-01-01T23:59:59.000Z

253

Climate-derived tensions in Arctic security.  

SciTech Connect (OSTI)

Globally, there is no lack of security threats. Many of them demand priority engagement and there can never be adequate resources to address all threats. In this context, climate is just another aspect of global security and the Arctic just another region. In light of physical and budgetary constraints, new security needs must be integrated and prioritized with existing ones. This discussion approaches the security impacts of climate from that perspective, starting with the broad security picture and establishing how climate may affect it. This method provides a different view from one that starts with climate and projects it, in isolation, as the source of a hypothetical security burden. That said, the Arctic does appear to present high-priority security challenges. Uncertainty in the timing of an ice-free Arctic affects how quickly it will become a security priority. Uncertainty in the emergent extreme and variable weather conditions will determine the difficulty (cost) of maintaining adequate security (order) in the area. The resolution of sovereignty boundaries affects the ability to enforce security measures, and the U.S. will most probably need a military presence to back-up negotiated sovereignty agreements. Without additional global warming, technology already allows the Arctic to become a strategic link in the global supply chain, possibly with northern Russia as its main hub. Additionally, the multinational corporations reaping the economic bounty may affect security tensions more than nation-states themselves. Countries will depend ever more heavily on the global supply chains. China has particular needs to protect its trade flows. In matters of security, nation-state and multinational-corporate interests will become heavily intertwined.

Backus, George A.; Strickland, James Hassler

2008-09-01T23:59:59.000Z

254

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

SciTech Connect (OSTI)

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

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

2014-05-16T23:59:59.000Z

255

Comparison of the Vertical Velocity Used to Calculate the Cloud Droplet Number Concentration in a Cloud Resolving and a Global Climate Model  

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

Comparison of the Vertical Velocity Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model H. Guo, J. E. Penner, M. Herzog, and X. Liu Department of Atmospheric, Oceanic and Space Sciences University of Michigan Ann Arbor, Michigan Introduction Anthropogenic aerosols are effective cloud condensation nuclei (CCN). The availability of CCN affects the initial cloud droplet number concentration (CDNC) and droplet size; therefore, cloud optical properties (the so-called first aerosol indirect effect). However, the estimate of CDNC from a mechanistic treatment shows significant differences from the empirical schemes mainly due to the large bias of the large-scale vertical velocity (w) (Ghan et al. 1993, 1995; Boucher and Lohmann 1995;

256

Changing concentrations of CO, CH4, C5H8, CH3Br, CH3I, and dimethyl sulfide during the Southern Ocean Iron Enrichment Experiments  

Science Journals Connector (OSTI)

...important sink for atmospheric CH 3 Br, a result...half of the atmospheric organobromine burden...delay the recovery of stratospheric...from ocean waters is a major source of cloud condensation nuclei...above the atmospheric boundary layer...

Oliver W. Wingenter; Karl B. Haase; Peter Strutton; Gernot Friederich; Simone Meinardi; Donald R. Blake; F. Sherwood Rowland

2004-01-01T23:59:59.000Z

257

Critical Mechanisms for the Formation of Extreme Arctic Sea-Ice Extent in the Summers of 2007 and 1996  

SciTech Connect (OSTI)

A warming Arctic climate is undergoing significant e 21 nvironmental change, most evidenced by the reduction of Arctic sea-ice extent during the summer. In this study, we examine two extreme anomalies of September sea-ice extent in 2007 and 1996, and investigate the impacts of cloud fraction (CF), atmospheric precipitable water vapor (PWV), downwelling longwave flux (DLF), surface air temperature (SAT), pressure and winds on the sea-ice variation in 2007 and 1996 using both satellite-derived sea-ice products and MERRA reanalysis. The area of the Laptev, East Siberian and West Chukchi seas (70-90oN, 90-180oE) has experienced the largest variation in sea-ice extent from year-to-year and defined here as the Area Of Focus (AOF). The record low September sea-ice extent in 2007 was associated with positive anomalies 30 of CF, PWV, DLF, and SAT over the AOF. Persistent anti-cyclone positioned over the Beaufort Sea coupled with low pressure over Eurasia induced easterly zonal and southerly meridional winds. In contrast, negative CF, PWV, DLF and SAT anomalies, as well as opposite wind patterns to those in 2007, characterized the 1996 high September sea-ice extent. Through this study, we hypothesize the following positive feedbacks of clouds, water vapor, radiation and atmospheric variables on the sea-ice retreat during the summer 2007. The record low sea-ice extent during the summer 2007 is initially triggered by the atmospheric circulation anomaly. The southerly winds across the Chukchi and East Siberian seas transport warm, moist air from the north Pacific, which is not only enhancing sea-ice melt across the AOF, but also increasing clouds. The positive cloud feedback results in higher SAT and more sea-ice melt. Therefore, 40 more water vapor could be evaporated from open seas and higher SAT to form more clouds, which will enhance positive cloud feedback. This enhanced positive cloud feedback will then further increase SAT and accelerate the sea-ice retreat during the summer 2007.

Dong, Xiquan; Zib, Benjamin J.; Xi, Baike; Stanfield, Ryan; Deng, Yi; Zhang, Xiangdong; Lin, B.; Long, Charles N.

2014-07-29T23:59:59.000Z

258

ARM - Field Campaign - Observations and Modeling of the Green Ocean Amazon:  

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

govCampaignsObservations and Modeling of the Green Ocean Amazon: CCN govCampaignsObservations and Modeling of the Green Ocean Amazon: CCN Activity of Aerosols Related Campaigns Observations and Modeling of the Green Ocean Amazon (GOAMAZON 2014) 2014.01.01, Martin, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Observations and Modeling of the Green Ocean Amazon: CCN Activity of Aerosols 2014.01.01 - 2014.12.31 Lead Scientist : Jian Wang Description Aerosol indirect effects, which represent the impact of aerosols on climate through influencing the properties of clouds, remain one of the main uncertainties in climate predictions (IPCC, 2007). Reducing this large uncertainty requires both improved understanding and representation of aerosol properties and processes in climate models, including the cloud

259

Cloud Computing Synopsis and Recommendations  

Science Journals Connector (OSTI)

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

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

2012-05-01T23:59:59.000Z

260

Convective Cloud Lifecycles Lunchtime seminar  

E-Print Network [OSTI]

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

Plant, Robert

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


261

Global warming triggers the loss of a key Arctic refugium  

Science Journals Connector (OSTI)

...research-article Research articles 1001 69 60 Global warming triggers the loss of a key Arctic...change that is being driven by global warming. In stark contrast to the amplified...planet's last Arctic refugia from global warming, largely because of the moderating...

2013-01-01T23:59:59.000Z

262

How ocean currents are studied  

Science Journals Connector (OSTI)

How infinite and boundless the ocean must have seemed to the first man to set foot upon its shore. Kind or stern, shallow or steep, the ocean’s shores have always held a peculiar fascination for man. The moist...

David Tolmazin

1985-01-01T23:59:59.000Z

263

Challenges in Ocean Energy Utilization  

Science Journals Connector (OSTI)

Ocean is a reservoir of energy. It is ... . Development of suitable cost effective technologies for power generation from different forms of ocean energy (like wave energy, tidal energy, Ocean Thermal Energy Conv...

S. Neelamani

2013-01-01T23:59:59.000Z

264

E-Print Network 3.0 - arctic fjord sediments Sample Search Results  

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

sediments Search Powered by Explorit Topic List Advanced Search Sample search results for: arctic fjord sediments...

265

E-Print Network 3.0 - arctic gas pipeline Sample Search Results  

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

pipeline Search Powered by Explorit Topic List Advanced Search Sample search results for: arctic gas pipeline...

266

E-Print Network 3.0 - arctic fjord sediment Sample Search Results  

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

sediment Search Powered by Explorit Topic List Advanced Search Sample search results for: arctic fjord sediment...

267

Evaluating Model Parameterizations of Arctic Processes  

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

865-9026 References Clothiaux, E. E., T. P. Ackerman, G. G. Mac, K. P. Moran, R. T. Marchand, M. A. Miller, and B. E. Martner, 2000: Objective determination of cloud heights and...

268

EA-1193: Final Environmental Assessment | Department of Energy  

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

93: Final Environmental Assessment 93: Final Environmental Assessment EA-1193: Final Environmental Assessment Atmospheric Radiation Measurement (ARM) Program North Slope of Alaska and Adjacent Arctic Ocean Cloud and Radiation Testbed (CART) Site The United States Department of Energy (DOE) has prepared an environmental assessment (EA) for the Atmospheric Radiation Measurement Cloud and Radiation Testbed (ARM/CART), North Slope of Alaska and Adjacent Arctic Ocean. The EA analyzes the impacts on land use, tundra, air quality, cultural resources, socioeconomics, and wildlife. Environmental Assessment for the Atmospheric Radiation Measurement (ARM) Program North Slope of Alaska and Adjacent Arctic Ocean Cloud and Radiation Testbed (CART) Site, DOE/EA-1193 (February 1997) More Documents & Publications

269

3. New Cloud Climatology  

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

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

270

In Clouds We Trust  

Science Journals Connector (OSTI)

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

Jim Damoulakis

2010-03-01T23:59:59.000Z

271

Moving into the Cloud.  

E-Print Network [OSTI]

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

Mikalsen, Christian

2009-01-01T23:59:59.000Z

272

Ocean General Circulation Models  

SciTech Connect (OSTI)

1. Definition of Subject The purpose of this text is to provide an introduction to aspects of oceanic general circulation models (OGCMs), an important component of Climate System or Earth System Model (ESM). The role of the ocean in ESMs is described in Chapter XX (EDITOR: PLEASE FIND THE COUPLED CLIMATE or EARTH SYSTEM MODELING CHAPTERS). The emerging need for understanding the Earth’s climate system and especially projecting its future evolution has encouraged scientists to explore the dynamical, physical, and biogeochemical processes in the ocean. Understanding the role of these processes in the climate system is an interesting and challenging scientific subject. For example, a research question how much extra heat or CO2 generated by anthropogenic activities can be stored in the deep ocean is not only scientifically interesting but also important in projecting future climate of the earth. Thus, OGCMs have been developed and applied to investigate the various oceanic processes and their role in the climate system.

Yoon, Jin-Ho; Ma, Po-Lun

2012-09-30T23:59:59.000Z

273

Chapter 16 - Ocean Engines  

Science Journals Connector (OSTI)

Publisher Summary Ocean thermal energy converters (OTECs) took advantage of the ocean acting as an immense collector and storer of solar radiation, thus delivering a steady flow of low-grade thermal energy. The ocean plays a similar role in relation to the wind energy, which is transformed into waves far steadier than the air currents that created them. Nevertheless, waves are neither steady nor concentrated enough to constitute a highly attractive energy source notwithstanding their large total power. There is little net horizontal motion of water in a surface ocean wave. A floating object drifts in the direction of the wave with about 1% of the wave velocity. A given elementary cell of water will move in a vertical circle, surging forward near the crest of the wave but receding by an almost equal amount at the trough. Any system in which the wave velocity depends on wavelength is called dispersive; hence the deep ocean is dispersive.

Aldo Vieira da Rosa

2009-01-01T23:59:59.000Z

274

Migrating enterprise storage applications to the cloud  

E-Print Network [OSTI]

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

Vrable, Michael Daniel

2011-01-01T23:59:59.000Z

275

ARM - Publications: Science Team Meeting Documents  

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

Seasonal Variability in Cloud Cover, Cloud Base Height, and Cloud Liquid Seasonal Variability in Cloud Cover, Cloud Base Height, and Cloud Liquid Water Content at the North Slope of Alaska and the Adjacent Arctic Ocean Storvold, R. (a), Stamnes, K. (b), Marty, C. (a), and Zak, B.D. (c), University of Alaska Fairbanks (a), Stevens Institute of Technology (b), Sandia National Laboratories (c) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting There is great seasonal variability in cloud cover, cloud base height, and cloud liquid water in the Arctic. This seasonal variability in cloud properties has been quantified based on a full year of data from the Atmospheric Radiation Measurement Program Sites in Barrow and Atqasuk during 1999-2000. We compare these results with similar results obtained in the Arctic Ocean during the one-year SHEBA experiment. We also compare the

276

Constraining oceanic dust deposition using surface ocean dissolved Al  

E-Print Network [OSTI]

Constraining oceanic dust deposition using surface ocean dissolved Al Qin Han,1 J. Keith Moore,1; accepted 7 December 2007; published 12 April 2008. [1] We use measurements of ocean surface dissolved Al (DEAD) model to constrain dust deposition to the oceans. Our Al database contains all available

Zender, Charles

277

Thin Cloud Length Scales Using CALIPSO and CloudSat Data  

E-Print Network [OSTI]

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

Solbrig, Jeremy E.

2010-10-12T23:59:59.000Z

278

Sulfate aerosols and polar stratospheric cloud formation  

SciTech Connect (OSTI)

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

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

1994-04-22T23:59:59.000Z

279

Observing Warm Clouds in 3D Using ARM Scanning Cloud  

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

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

280

METEOROLOGY OF SO CLOUD REGIMES WORKSHOP ON SOUTHERN OCEAN CLOUDS & AND  

E-Print Network [OSTI]

regimes Regime meteorology Vertical pressure velocity Potential temperature Relative humidity Wind speed regimes Regime meteorology Vertical pressure velocity Potential temperature Relative humidity Wind speed Regime meteorology Vertical pressure velocity Potential temperature Relative humidity Wind speed

Jakob, Christian

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


281

Simple ocean carbon cycle models  

SciTech Connect (OSTI)

Simple ocean carbon cycle models can be used to calculate the rate at which the oceans are likely to absorb CO{sub 2} from the atmosphere. For problems involving steady-state ocean circulation, well calibrated ocean models produce results that are very similar to results obtained using general circulation models. Hence, simple ocean carbon cycle models may be appropriate for use in studies in which the time or expense of running large scale general circulation models would be prohibitive. Simple ocean models have the advantage of being based on a small number of explicit assumptions. The simplicity of these ocean models facilitates the understanding of model results.

Caldeira, K. [Lawrence Livermore National Lab., CA (United States); Hoffert, M.I. [New York Univ., NY (United States). Dept. of Earth System Sciences; Siegenthaler, U. [Bern Univ. (Switzerland). Inst. fuer Physik

1994-02-01T23:59:59.000Z

282

Ice Heating Up Cold Clouds | EMSL  

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

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

283

Cloud Based Applications and Platforms (Presentation)  

SciTech Connect (OSTI)

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

Brodt-Giles, D.

2014-05-15T23:59:59.000Z

284

Ocean Thermal Energy Conversion  

Science Journals Connector (OSTI)

A pertinent question, however, is: what is the worldwide power resource that could be extracted with OTEC plants without affecting the thermohaline ocean circulation? The estimate is that the maximum steady-state...

Dr. Luis A. Vega Ph.D.

2013-01-01T23:59:59.000Z

285

Ocean Thermal Energy Conversion  

Science Journals Connector (OSTI)

A pertinent question, however, is: what is the worldwide power resource that could be extracted with OTEC plants without affecting the thermohaline ocean circulation? The estimate is that the maximum steady-state...

Dr. Luis A. Vega Ph.D.

2012-01-01T23:59:59.000Z

286

Use of Ocean Energies  

Science Journals Connector (OSTI)

For converting the current of water for the production of electricity, there is a wide range of technological approaches. The Italian ocean current power plant named Kobold (Fig. 6.2) was the first commercial o...

Prof. Dr.-Ing Hermann-Josef Wagner…

2011-01-01T23:59:59.000Z

287

Cloud Condensation Nuclei Retrievals at Cloud Base in North Dakota  

E-Print Network [OSTI]

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

Delene, David J.

288

HNCO in molecular clouds  

SciTech Connect (OSTI)

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

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

1984-05-15T23:59:59.000Z

289

Flexible ocean upwelling pipe  

DOE Patents [OSTI]

In an ocean thermal energy conversion facility, a cold water riser pipe is releasably supported at its upper end by the hull of the floating facility. The pipe is substantially vertical and has its lower end far below the hull above the ocean floor. The pipe is defined essentially entirely of a material which has a modulus of elasticity substantially less than that of steel, e.g., high density polyethylene, so that the pipe is flexible and compliant to rather than resistant to applied bending moments. The position of the lower end of the pipe relative to the hull is stabilized by a weight suspended below the lower end of the pipe on a flexible line. The pipe, apart from the weight, is positively buoyant. If support of the upper end of the pipe is released, the pipe sinks to the ocean floor, but is not damaged as the length of the line between the pipe and the weight is sufficient to allow the buoyant pipe to come to a stop within the line length after the weight contacts the ocean floor, and thereafter to float submerged above the ocean floor while moored to the ocean floor by the weight. The upper end of the pipe, while supported by the hull, communicates to a sump in the hull in which the water level is maintained below the ambient water level. The sump volume is sufficient to keep the pipe full during heaving of the hull, thereby preventing collapse of the pipe.

Person, Abraham (Los Alamitos, CA)

1980-01-01T23:59:59.000Z

290

Attribution Analysis of Cloud Feedback  

E-Print Network [OSTI]

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

Zhou, Chen

2014-07-15T23:59:59.000Z

291

Constrained water cloud generator  

Science Journals Connector (OSTI)

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

Roland P.H. Berton

2008-01-01T23:59:59.000Z

292

THEBLACKMARBLE In daylight our big blue marble is all land, oceans and  

E-Print Network [OSTI]

THEBLACKMARBLE #12;In daylight our big blue marble is all land, oceans and clouds. But the night ­ is electric. These views of Earth's city lights show brightly shining cities, connected by illuminated webs at night is a composite of data acquired over nine days in April and thirteen days in October 2012

293

Opaque cloud detection  

DOE Patents [OSTI]

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

Roskovensky, John K. (Albuquerque, NM)

2009-01-20T23:59:59.000Z

294

CARINA (Carbon dioxide in the Atlantic Ocean) Data from CDIAC  

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

The idea for CARINA developed at a workshop (CO2 in the northern North Atlantic) that was held at the HANSE-Wissenschaftskolleg (HANSE Institute for Advanced Study) in Delmenhorst, Germany from June 9 to 11, 1999. While the main scientific focus is the North Atlantic, some data from the South Atlantic have been included in the project, along with data from the Arctic Ocean. Data sets go back to 1972, and more than 100 are currently available. The data are also being used in conjunction with other projects and research groups, such as the Atlantic Ocean Carbon Synthesis Group. See the inventory of data at http://store.pangaea.de/Projects/CARBOOCEAN/carina/data_inventory.htm See a detailed table of information on the cruises at http://cdiac.ornl.gov/oceans/CARINA/Carina_table.html and also provides access to data files. The CARBOOCEAN data portal provides a specialized interface for CARINA data, a reference list for historic carbon data, and password protected access to the "Data Underway Warehouse.".

295

5, 60136039, 2005 FRESCO cloud  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

296

3, 33013333, 2003 Cirrus cloud  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

297

8, 96979729, 2008 FRESCO+ cloud  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

298

Cloud Formation, Evolution and Destruction  

E-Print Network [OSTI]

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

Estalella, Robert

299

Simulating Arctic Climate Warmth and Icefield Retreat in the  

E-Print Network [OSTI]

, Devon, and Meighen ice caps in the Canadian Arctic, and possibly in Camp Century (northwest Greenland- atures markedly warmer than those in the 20th century and the late Holocene, and it also featured

Ingólfsson, �lafur

300

Sources and sinks of carbon dioxide in the Arctic regions  

SciTech Connect (OSTI)

The data base required to adequately ascertain seasonal source and sink strengths in the arctic regions is difficult to obtain. However, there are now a reasonable quantity of data for this polar region to estimate sources and sinks within the Arctic which may contribute significantly to the annual tropospheric CO/sub 2/ concentration fluctuation. The sea-ice-air and the sea-air interfaces account for most of the contribution to the sources and sinks for carbon dioxide. Although the arctic and subarctic region is small in extent, it certainly is not impervious and ice sealed. Our estimate, based on historical data and current research, indicates that the Arctic, which is about 4% of the earth's surface, is an annual net sink for approx. 10/sup 15/ g CO/sub 2/ accounting for an equivalent of approx. 3% of the annual anthropogenic contribution of CO/sub 2/ to the troposphere.

Gosink, T. A.; Kelley, J. J.

1982-01-01T23:59:59.000Z

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


301

A New Look at the Summer Arctic Frontal Zone  

Science Journals Connector (OSTI)

A notable characteristic of the summertime Arctic is the existence of a narrow band of strong horizontal temperature gradients spanning the coastlines of Siberia, Alaska, and western Canada that extends through a considerable depth of the ...

Alex Crawford; Mark Serreze

302

National Strategy for the Arctic Region Stakeholder Outreach Meeting: Kotzebue  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well...

303

National Strategy for the Arctic Region Stakeholder Outreach Meeting: Barrow  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well...

304

National Strategy for the Arctic Region Stakeholder Outreach Meeting: Nome  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well...

305

National Strategy for the Arctic Region Stakeholder Outreach Meeting: Bethel  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well...

306

Transatlantic Policy Options to Address the Rapidly Changing Arctic  

Science Journals Connector (OSTI)

Impacts from rapidly occurring climate change in the Arctic region are creating shifts in economic priorities, especially in the energy, transport, fisheries and tourism sectors. Economic expansion combined with ...

Sandra Cavalieri; R. Andreas Kraemer

2013-01-01T23:59:59.000Z

307

National Strategy for the Arctic Region Tribal Consultation Session: Bethel  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well...

308

National Strategy for the Arctic Tribal Consultation Session: Fairbanks  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well...

309

Mitigation Possibilities in the Energy Sector – An Arctic Perspective  

Science Journals Connector (OSTI)

There are vast utilisable wind energy resources in the Arctic frequently located in ... example in the Mountain areas in Sweden and Norway, and in the Northwest of Russia. Large wind resources are also found in t...

Maria Pettersson

2009-01-01T23:59:59.000Z

310

A Comparison of Simulated Cloud Radar Output from the Multiscale Modeling Framework Global Climate Model with CloudSat Cloud Radar Observations  

SciTech Connect (OSTI)

Over the last few years a new type of global climate model (GCM) has emerged in which a cloud-resolving model is embedded into each grid cell of a GCM. This new approach is frequently called a multiscale modeling framework (MMF) or superparameterization. In this article we present a comparison of MMF output with radar observations from the NASA CloudSat mission, which uses a near-nadir-pointing millimeter-wavelength radar to probe the vertical structure of clouds and precipitation. We account for radar detection limits by simulating the 94 GHz radar reflectivity that CloudSat would observe from the high-resolution cloud-resolving model output produced by the MMF. Overall, the MMF does a good job of reproducing the broad pattern of tropical convergence zones, subtropical belts, and midlatitude storm tracks, as well as their changes in position with the annual solar cycle. Nonetheless, the comparison also reveals a number of model shortfalls including (1) excessive hydrometeor coverage at all altitudes over many convectively active regions, (2) a lack of low-level hydrometeors over all subtropical oceanic basins, (3) excessive low-level hydrometeor coverage (principally precipitating hydrometeors) in the midlatitude storm tracks of both hemispheres during the summer season (in each hemisphere), and (4) a thin band of low-level hydrometeors in the Southern Hemisphere of the central (and at times eastern and western) Pacific in the MMF, which is not observed by CloudSat. This band resembles a second much weaker ITCZ but is restricted to low levels.

Marchand, Roger T.; Haynes, J. M.; Mace, Gerald G.; Ackerman, Thomas P.; Stephens, Graeme L.

2009-01-13T23:59:59.000Z

311

Ocean Energy Resource Basics | Department of Energy  

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

Hydrogen & Fuel Cells Hydropower Ocean Ocean Thermal Energy Conversion Tidal Energy Wave Energy Ocean Resources Solar Wind Homes & Buildings Industry Vehicles & Fuels...

312

Ocean Thermal Extractable Energy Visualization: Final Technical...  

Office of Environmental Management (EM)

Ocean Thermal Extractable Energy Visualization: Final Technical Report Ocean Thermal Extractable Energy Visualization: Final Technical Report Report about the Ocean Thermal...

313

Who is this cloud?  

Science Journals Connector (OSTI)

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

Lola B. Deswarte; Alain Lioret; Barbara Tannery

2012-03-01T23:59:59.000Z

314

Aircraft Observations of Convective Systems in the Indian Ocean [EVS Event]  

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

Aircraft Observations of Convective Systems in the Indian Ocean Aircraft Observations of Convective Systems in the Indian Ocean August 23, 2013 Speaker: Bradley Nicholas Guy National Research Council Postdoctoral Fellow NOAA National Severe Storms Laboratory Date: Friday, August 23, 2013 Time: 11:00 a.m. Location: Argonne National Laboratory TCS Building 240 Room 4301 In the DYNAMO (Dynamics of the Madden-Julian Oscillation) field experiment, a large number of measurement platforms were deployed to study environmental and convective cloud system characteristics of the Madden-Julian Oscillation (MJO) initiation region in the Indian Ocean. A mobile platform, the NOAA P-3 instrumented aircraft, sampled intense convective cloud systems, along with the surrounding environment. This presentation will explore the characteristics of mesoscale convective

315

Low?frequency sound radiation and scattering from bubble clouds.  

Science Journals Connector (OSTI)

Recent experimental evidence has shown that when wave breaking occurs low?frequency (LF?200 Hz) sound is produced and LF scatter has a different characteristic than expected from rough sea surface scattering. These effects have been attributed to the bubbles produced during wave breaking which are convected to depth by the breaking turbulence vorticity and Langmuir circulation as observed by Thorpe [S. Thorpe Oceanic White Caps edited by E. Monahan and G. MacNiocaill (Reidel Boston 1986) pp. 57–58]. While the radiation and scatteringcharacteristics at frequencies greater than 1 kHz are explained by incoherent scatter from the observed bubble size and space distributions the lower frequency phenomena are not easily explained. However if bubble plumes and clouds produced in the wave breaking have appreciable volume fractions (?10?5) then LF sound radiation and scattering can be explained by classical theories. This paper reviews the scattering and radiation from bubbleclouds in water as a function of volume fraction. When the cloud is compact coherent and collective scatter are shown to occur. The natural frequency of radiation is shown to be described by a modified Minnaert result while the backscatter target strength is described by the first?order volume mode. These analytical results agree with experimental sound radiation and scatter measurements. Finally the collective radiation of bubble plumes and clouds is discussed as a possible explanation of the observed ocean low?frequency scattering and radiation phenomena. [Work sponsored by ONR 11250A and NUSC IR.

William M. Carey

1992-01-01T23:59:59.000Z

316

Infrasonic ambient ocean noise: Northeast Pacific Ocean  

Science Journals Connector (OSTI)

Measurements of ocean ambient noise were made at three widely separated deep?water bottom locations in the N. E. Pacific at eight frequencies in the range from 2.5–20.0 Hz for 40 consecutive days. Concurrent data on wind speed and wave height were collected. Analysis indicates that the spectrum level of infrasonicnoise is linearly related to the log of the wind speed above a threshold level. There is evidence that the noise can be directly associated with the wind rather than through the surface waves it produces. [Work supported by ONR.

Rudolph H. Nichols

1985-01-01T23:59:59.000Z

317

Incursion of the Pacific Ocean Water into the Indian Ocean  

Science Journals Connector (OSTI)

Using the data collected during the International Indian Ocean Expedition, maps showing the distribution of depth ... became clear that low-salinity water from the Pacific intrudes into the western Indian Ocean t...

G S Sharma; A D Gouveia…

1978-03-01T23:59:59.000Z

318

Process-model simulations of cloud albedo enhancement by aerosols in the Arctic  

Science Journals Connector (OSTI)

...Timmreck. 2013 Sea-salt injections into the low-latitude marine boundary layer: the transient response in three Earth system models. J. Geophys. Res. 118, 12195-12206. ( doi:10.1002/2013JD020432 ) 62 Jenkins, AKL , and PM Forster...

2014-01-01T23:59:59.000Z

319

DOE/SC-ARM-P-07-006 Evaluation of Mixed-Phase Cloud Microphysics  

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

6 6 Evaluation of Mixed-Phase Cloud Microphysics Parameterizations with the NCAR Single Column Climate Model (SCAM) and ARM Observations Second Quarter 2007 ARM Metric Report April 2007 Xiaohong Liu and Steven J. Ghan Pacific Northwest National Laboratory Richland, Washington Shaocheng Xie Lawrence Livermore National Laboratory Livermore, California Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research X. Lui, S.J. Ghan, and S. Xie, DOE/SC-ARM/P-07-006 Summary Mixed-phase stratus clouds are ubiquitous in the Arctic and play an important role in climate in this region. However, climate models have generally proven unsuccessful at simulating the partitioning of condensed water

320

Energy from the Ocean [and Discussion  

Science Journals Connector (OSTI)

...development among the ocean energy options, and other relatively...paper focuses on ocean thermal energy conversion (OTEC). However, much of the paper's content has relevance to the use of the other ocean energy sources. Techniques of ocean...

1982-01-01T23:59:59.000Z

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


321

E-Print Network 3.0 - arctic alaska r4d Sample Search Results  

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

for: arctic alaska r4d Page: << < 1 2 3 4 5 > >> 1 revised 122010 Alaska Cooperative Fish and Wildlife Research Unit Summary: . 1966. The recreational potential of the Arctic...

322

UPb and geochemical evidence for a Cryogenian magmatic arc in central Novaya Zemlya, Arctic Russia  

E-Print Network [OSTI]

U­Pb and geochemical evidence for a Cryogenian magmatic arc in central Novaya Zemlya, Arctic Russia-0349 Oslo, Norway Introduction The High Arctic of Scandinavia and Russia consists of a collage

Svensen, Henrik

323

E-Print Network 3.0 - arctic tundra vegetation Sample Search...  

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

in arctic tundra reduced by long-term nutrient fertilization Michelle C. Mack1... in soil compared with temperate and tropical ecosystems14 . In arctic tundra, as much as 90%...

324

Mechanisms of Decadal Arctic Climate Variability in the Community Climate System Model, Version 2 (CCSM2)  

Science Journals Connector (OSTI)

Several mechanisms have been proposed to explain natural climate variability in the Arctic. These include processes related to the influence of the North Atlantic Oscillation/Arctic Oscillation (NAO/AO), anticyclonic/cyclonic regimes, changes in ...

Hugues Goosse; Marika M. Holland

2005-09-01T23:59:59.000Z

325

E-Print Network 3.0 - arctic mars analog Sample Search Results  

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

seal Pup Arctic Barrow Beck et al confirmed... 1 Ringed seal CBD Arctic Deadhorse ARCO; Rugh, D.:NMML; Confirmed-low Fdead pos. shot towed see Source: NOAA Marine Fisheries Review...

326

E-Print Network 3.0 - arctic regions Sample Search Results  

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

et G... in some Arctic regions in the late 1980s and early 1990s during the decline of industrial activity... of Representatives October 18, 2007 Arctic Climate Effects of Black...

327

E-Print Network 3.0 - arctic food web Sample Search Results  

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

food web Search Powered by Explorit Topic List Advanced Search Sample search results for: arctic food web Page: << < 1 2 3 4 5 > >> 1 Lesson Plan Arctic Biome Summary: in the...

328

Rapid removal of terrigenous dissolved organic carbon over the Eurasian shelves of the Arctic Ocean  

E-Print Network [OSTI]

DOC pool based on apparently conservative mixing behavior of tDOC across the Eurasian continental shelf water, introduced by rivers, after a few years residence on the shelf. Elevated concentrations of DOC (N120 M C) were observed in low salinity (~27) water over the Makarov Basin, suggesting inputs of t

Hansell, Dennis

329

Proceedings of the ASME 28th International Conference on Ocean, Offshore and Arctic Engineering  

E-Print Network [OSTI]

-based design and optimization methodology to improve the energy efficiency of self-adapting composite marine- ficiency. This problem can be avoided or minimized by using blades made of carbon fiber reinforced plastics

Baker, Jack W.

330

Arctic Ocean: Is It a Sink or a Source of Atmospheric Mercury?  

Science Journals Connector (OSTI)

(4-8) Table 1 compares simulated concentrations of Hg0 and Hg2+ in air, total mercury (THg) concentrations in precipitation and snow, and snow/air Hg0 fluxes with available observed data at Alert (Canada), Ny-Ålesund (Norway), Amderma (Russia), and Barrow (USA) for 2005–2009. ... Significant AMDEs are simulated offshore near Ny-Ålesund. ... Yue, W.; Meneveau, C.; Parlange, M. B.; Zhu, W.; Kang, H. S.; Katz, J.Turbulent kinetic energy budgets in a model canopy: comparisons between LES and wind-tunnel experiments Environ. ...

Ashu P. Dastoor; Dorothy A. Durnford

2013-12-13T23:59:59.000Z

331

Marine low cloud sensitivity to an idealized climate change: The CGILS LES intercomparison  

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

low low cloud sensitivity to an idealized climate change: The CGILS LES intercomparison Peter N. Blossey, 1 Christopher S. Bretherton, 1 Minghua Zhang, 2 Anning Cheng, 3 Satoshi Endo, 4 Thijs Heus, 5 Yangang Liu, 4 Adrian P. Lock, 6 Stephan R. de Roode, 7 and Kuan-Man Xu 8 Received 31 July 2012; revised 4 February 2013; accepted 20 February 2013. [1] Subtropical marine low cloud sensitivity to an idealized climate change is com- pared in six large-eddy simulation (LES) models as part of CGILS. July cloud cover is simulated at three locations over the subtropical northeast Pacific Ocean, which are typified by cold sea surface temperatures (SSTs) under well-mixed stratocumulus, cool SSTs under decoupled stratocumulus, and shallow cumulus clouds overlying warmer SSTs. The idealized climate change includes a uniform 2 K SST increase with corre- sponding moist-adiabatic warming aloft and

332

Predicting and validating the tracking of a Volcanic Ash Cloud during the 2006 Eruption of Mt. Augustine Volcano  

SciTech Connect (OSTI)

On 11 January 2006, Mount Augustine volcano in southern Alaska began erupting after 20-year repose. The Anchorage Forecast Office of the National Weather Service (NWS) issued an advisory on 28 January for Kodiak City. On 31 January, Alaska Airlines cancelled all flights to and from Anchorage after multiple advisories from the NWS for Anchorage and the surrounding region. The Alaska Volcano Observatory (AVO) had reported the onset of the continuous eruption. AVO monitors the approximately 100 active volcanoes in the Northern Pacific. Ash clouds from these volcanoes can cause serious damage to an aircraft and pose a serious threat to the local communities, and to transcontinental air traffic throughout the Arctic and sub-Arctic region. Within AVO, a dispersion model has been developed to track the dispersion of volcanic ash clouds. The model, Puff, was used operational by AVO during the Augustine eruptive period. Here, we examine the dispersion of a volcanic ash cloud from Mount Augustine across Alaska from 29 January through the 2 February 2006. We present the synoptic meteorology, the Puff predictions, and measurements from aerosol samplers, laser radar (or lidar) systems, and satellites. UAF aerosol samplers revealed the presence of volcanic aerosols at the surface at sites where Puff predicted the ash clouds movement. Remote sensing satellite data showed the development of the ash cloud in close proximity to the volcano and a sulfur-dioxide cloud further from the volcano consistent with the Puff predictions. Lidars showed the presence of volcanic aerosol with consistent characteristics aloft over Alaska and were capable of detecting the aerosol, even in the presence of scattered clouds and where the cloud is too thin/disperse to be detected by remote sensing satellite data. The lidar measurements revealed the different trajectories of ash consistent with the Puff predictions. Dispersion models provide a forecast of volcanic ash cloud movement that might be undetectable by any other means but are still a significant hazard. Validation is the key to assessing the accuracy of any future predictions. The study highlights the use of multiple and complementary observations used in detecting the trajectory ash cloud, both at the surface and aloft within the atmosphere.

Webley, Peter W.; Atkinson, D.; Collins, Richard L.; Dean, K.; Fochesatto, J.; Sassen, Kenneth; Cahill, Catherine F.; Prata, A.; Flynn, Connor J.; Mizutani, K.

2008-11-01T23:59:59.000Z

333

E-Print Network 3.0 - arctic petroleum operators Sample Search...  

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

Conferences Covered Petroleum Abstracts, HH 101 Summary: PETROLEUM PRODUCTION & EXPLORATION ASSOCIATION LTD. (APPEA) ARCTIC AND MARINE OILSPILL PROGRAM (AMOP... GEOLOGICAL...

334

Ocean Circulation Lynne D Talley  

E-Print Network [OSTI]

to the topography, with low pressure in the center. Ocean currents transport heat from the tropics to the poles have gone to sea. As knowledge about ocean currents and capabilities to observe it below the surfaceOcean Circulation Lynne D Talley Volume 1, The Earth system: physical and chemical dimensions

Talley, Lynne D.

335

A Catalog of HI Clouds in the Large Magellanic Cloud  

E-Print Network [OSTI]

A 21 cm neutral hydrogen interferometric survey of the Large Magellanic Cloud (LMC) combined with the Parkes multi-beam HI single-dish survey clearly shows that the HI gas is distributed in the form of clumps or clouds. The HI clouds and clumps have been identified using a thresholding method with three separate brightness temperature thresholds ($T_b$). Each catalog of HI cloud candidates shows a power law relationship between the sizes and the velocity dispersions of the clouds roughly following the Larson Law scaling $\\sigma_v \\propto R^{0.5}$, with steeper indices associated with dynamically hot regions. The clouds in each catalog have roughly constant virial parameters as a function mass suggesting that that the clouds are all in roughly the same dynamical state, but the values of the virial parameter are significantly larger than unity showing that turbulent motions dominate gravity in these clouds. The mass distribution of the clouds is a power law with differential indices between -1.6 and -2.0 for the three catalogs. In contrast, the distribution of mean surface densities is a log-normal distribution.

S. Kim; E. Rosolowsky; Y. Lee; Y. Kim; Y. C. Jung; M. A. Dopita; B. G. Elmegreen; K. C. Freeman; R. J. Sault; M. J. Kesteven; D. McConnell; Y. -H. Chu

2007-06-28T23:59:59.000Z

336

ORIGINAL PAPER Arctic fisheries catches in Russia, USA, and Canada: baselines  

E-Print Network [OSTI]

ORIGINAL PAPER Arctic fisheries catches in Russia, USA, and Canada: baselines for neglected northern Siberia (Russia), Arctic Alaska (USA), and the Canadian Arctic, extends over seven coastal Large.e., 770,000, 89,000, and 94,000 t by Russia, USA, and Canada, respectively for the same time period

Pauly, Daniel

337

Size of Cloud from Shadow  

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

Size of Cloud from Shadow Size of Cloud from Shadow Name: mike Status: other Grade: other Location: N/A Country: USA Date: Summer 2011 Question: I see a cloud and I see its shadow in a field - knowing high sun angles - is there a way of telling how far away the cloud is or how big? - I am thinking if the shadow is 30' wide and the sun is at 2:00 pm- ? Replies: Hi Mike, Try this, draw a small circle representing the Sun. Somewhere below this circle and maybe to the right, draw an oblong, make this oblong bigger than the circle. Now connect the leftmost edge of the circle with the leftmost edge of the oblong with a straight line. Do the same for the rightmost edges. The oblong now represent the shadow of a cloud on the ground, and the lines represent the rays of the sun passing along the edges of the cloud.

338

ARM - Measurement - Total cloud water  

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

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

339

ARM - Measurement - Cloud droplet size  

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

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

340

Cumulus Clouds and Reflected Sunlight  

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

Cumulus Clouds and Reflected Sunlight Cumulus Clouds and Reflected Sunlight from Landsat ETM+ G. Wen and L. Oreopoulos National Aeronautics and Space Administration Goddard Space Flight Center University of Maryland Baltimore County Joint Center of Earth System Technology Greenbelt, Maryland R. F. Cahalan and S. C. Tsay National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt, Maryland Introduction Cumulus clouds attenuate solar radiation casting shows on the ground. Cumulus clouds can also enhance solar radiation in the clear region nearby. The enhancement of down-welling solar radiation has been observed at the ground level in the clear region near cumulus clouds (Mims and Frederick 1994). The additional diffuse radiation source from cumulus clouds makes the clear gaps appear to be

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


341

ALIEN MAPS OF AN OCEAN-BEARING WORLD  

SciTech Connect (OSTI)

When Earth-mass extrasolar planets first become detectable, one challenge will be to determine which of these worlds harbor liquid water, a widely used criterion for habitability. Some of the first observations of these planets will consist of disc-averaged, time-resolved broadband photometry. To simulate such data, the Deep Impact spacecraft obtained light curves of Earth at seven wavebands spanning 300-1000 nm as part of the EPOXI mission of opportunity. In this paper, we analyze disc-integrated light curves, treating Earth as if it were an exoplanet, to determine if we can detect the presence of oceans and continents. We present two observations each spanning 1 day, taken at gibbous phases of 57 deg. and 77 deg., respectively. As expected, the time-averaged spectrum of Earth is blue at short wavelengths due to Rayleigh scattering, and gray redward of 600 nm due to reflective clouds. The rotation of the planet leads to diurnal albedo variations of 15%-30%, with the largest relative changes occurring at the reddest wavelengths. To characterize these variations in an unbiased manner, we carry out a principal component analysis of the multi-band light curves; this analysis reveals that 98% of the diurnal color changes of Earth are due to only two dominant eigencolors. We use the time variations of these two eigencolors to construct longitudinal maps of the Earth, treating it as a non-uniform Lambert sphere. We find that the spectral and spatial distributions of the eigencolors correspond to cloud-free continents and oceans despite the fact that our observations were taken on days with typical cloud cover. We also find that the near-infrared wavebands are particularly useful in distinguishing between land and water. Based on this experiment, we conclude that it should be possible to infer the existence of water oceans on exoplanets with time-resolved broadband observations taken by a large space-based coronagraphic telescope.

Cowan, Nicolas B.; Agol, Eric; Meadows, Victoria S.; Robinson, Tyler [Astronomy Department and Astrobiology Program, University of Washington, Box 351580, Seattle, WA 98195 (United States); Livengood, Timothy A.; Deming, Drake [NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Lisse, Carey M. [Johns Hopkins University Applied Physics Laboratory, SD/SRE, MP3-E167, 11100 Johns Hopkins Road, Laurel, MD 20723 (United States); A'Hearn, Michael F.; Wellnitz, Dennis D. [Department of Astronomy, University of Maryland, College Park, MD 20742 (United States); Seager, Sara [Department of Earth, Atmospheric, and Planetary Sciences, Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Ave. 54-1626, MA 02139 (United States); Charbonneau, David [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States)], E-mail: cowan@astro.washington.edu

2009-08-01T23:59:59.000Z

342

Constraining cloud lifetime effects of aerosols using A-Train satellite observations  

SciTech Connect (OSTI)

Aerosol indirect effects have remained the largest uncertainty in estimates of the radiative forcing of past and future climate change. Observational constraints on cloud lifetime effects are particularly challenging since it is difficult to separate aerosol effects from meteorological influences. Here we use three global climate models, including a multi-scale aerosol-climate model PNNL-MMF, to show that the dependence of the probability of precipitation on aerosol loading, termed the precipitation frequency susceptibility (S{sub pop}), is a good measure of the liquid water path response to aerosol perturbation ({lambda}), as both Spop and {lambda} strongly depend on the magnitude of autoconversion, a model representation of precipitation formation via collisions among cloud droplets. This provides a method to use satellite observations to constrain cloud lifetime effects in global climate models. S{sub pop} in marine clouds estimated from CloudSat, MODIS and AMSR-E observations is substantially lower than that from global climate models and suggests a liquid water path increase of less than 5% from doubled cloud condensation nuclei concentrations. This implies a substantially smaller impact on shortwave cloud radiative forcing (SWCF) over ocean due to aerosol indirect effects than simulated by current global climate models (a reduction by one-third for one of the conventional aerosol-climate models). Further work is needed to quantify the uncertainties in satellite-derived estimates of S{sub pop} and to examine S{sub pop} in high-resolution models.

Wang, Minghuai; Ghan, Steven J.; Liu, Xiaohong; Ecuyer, Tristan L.; Zhang, Kai; Morrison, H.; Ovchinnikov, Mikhail; Easter, Richard C.; Marchand, Roger; Chand, Duli; Qian, Yun; Penner, Joyce E.

2012-08-15T23:59:59.000Z

343

TC_CLOUD_REGIME.cdr  

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

Tropical cloud properties as a function of regime Regimes? Monsoon versus Break * Different synoptic vertical velocity profiles - Changes convective inhibition, corresponding...

344

Declarative Automated Cloud Resource Orchestration  

E-Print Network [OSTI]

orchestration · Cloud resource orchestration constraint optimization problems 4 Provider operational] · Orchestration procedures Transactions · Either commit or abort Distributed communication and optimization

Plotkin, Joshua B.

345

Why Sequence Subarctic Pacific Ocean?  

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

Sequence Subarctic Pacific Ocean? Sequence Subarctic Pacific Ocean? The subarctic Pacific Ocean is one of the areas considered particularly vulnerable to acidification, which could affect the ocean's ability to act as a carbon sink. Global warming affects the food webs and biodiversity in marine ecosystems, especially in regions known as oxygen minimum zones where key components of the global carbon cycle take place. Oxygen minimum zones are found between 200 and 1,000 meters below sea level in the subarctic Pacific, the eastern South Pacific Ocean, the northern parts of the Indian Ocean and Arabian Sea, and off southwestern Africa. As global warming continues, researchers believe the oxygen levels in the oceans will decrease, a change that will extend the boundaries of the oxygen minimum

346

Cicada: Predictive Guarantees for Cloud Network Bandwidth  

E-Print Network [OSTI]

In cloud-computing systems, network-bandwidth guarantees have been shown to improve predictability of application performance and cost. Most previous work on cloud-bandwidth guarantees has assumed that cloud tenants know ...

LaCurts, Katrina

2014-03-24T23:59:59.000Z

347

DIRSIG Cloud Modeling Capabilities; A Parametric Study  

E-Print Network [OSTI]

1 DIRSIG Cloud Modeling Capabilities; A Parametric Study Kristen Powers powers:................................................................................................................... 13 Calculation of Sensor Reaching Radiance Truth Values for Cloudless & Stratus Cloud Scenes and Atmospheric Database Creation for Stratus Cloud Scene & Calculation of Associated Sensor Reaching Radiance

Salvaggio, Carl

348

Magellan: experiences from a Science Cloud  

E-Print Network [OSTI]

2010. From Clusters To Clouds: xCAT 2 Is Out Of The Bag.Cost of Doing Science on the Cloud: The Montage Example. Incost of doing science on the cloud: the montage example. In

Ramakrishnan, Lavanya

2013-01-01T23:59:59.000Z

349

Electron-Cloud Build-Up: Summary  

E-Print Network [OSTI]

Properties In?uencing Electron Cloud Phenomena,” Appl. Surf.Dissipation of the Electron Cloud,” Proc. PAC03 (Portland,is no signi?cant electron-cloud under nominal operating

Furman, M.A.

2007-01-01T23:59:59.000Z

350

ARM - Field Campaign - Arctic Winter Water Vapor IOP  

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

govCampaignsArctic Winter Water Vapor IOP govCampaignsArctic Winter Water Vapor IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Arctic Winter Water Vapor IOP 2004.03.09 - 2004.04.09 Lead Scientist : Ed Westwater Data Availability http://www.etl.noaa.gov/programs/2004/wviop/data will contain quicklooks of all of the data. For data sets, see below. Summary During the IOP, the Ground-based Scanning Radiometer of NOAA/ETL, and the ARM MicroWave Radiometer and Microwave Profiler, yielded excellent data over a range of conditions. In all, angular-scanned and calibrated radiometric data from 22.345 to 380 GHz were taken. The Precipitable Water Vapor varied about an order of magnitude from 1 to 10 mm, and surface temperatures varied from about -10 to -40 deg. Celcius. Vaisala RS90

351

Ice at the Interface: Atmosphere-Ice-Ocean Boundary Layer Processes and Their Role in Polar Change---Workshop Report  

SciTech Connect (OSTI)

The atmosphere-ocean boundary layer in which sea ice resides includes many complex processes that require a more realistic treatment in GCMs, particularly as models move toward full earth system descriptions. The primary purpose of the workshop was to define and discuss such coupled processes from observational and modeling points of view, including insight from both the Arctic and Antarctic systems. The workshop met each of its overarching goals, including fostering collaboration among experimentalists, theorists and modelers, proposing modeling strategies, and ascertaining data availability and needs. Several scientific themes emerged from the workshop, such as the importance of episodic or extreme events, precipitation, stratification above and below the ice, and the marginal ice zone, whose seasonal Arctic migrations now traverse more territory than in the past.

Hunke, Elizabeth C. [Los Alamos National Laboratory

2012-07-23T23:59:59.000Z

352

Ocean dynamics and thermodynamics in the tropical Indo- Pacific region  

E-Print Network [OSTI]

Pacific Oceans . . . . . . . . . . . . . . . . . . . . . . . . . . . . .currents in the tropical Pacific Ocean. J. Phys. Oceanogr. ,in the eastern tropical Pacific Ocean associated with the

Drushka, Kyla

2011-01-01T23:59:59.000Z

353

A TRUSTED STORAGE SYSTEM FOR THE CLOUD.  

E-Print Network [OSTI]

??Data stored in third party storage systems like the cloud might not be secure since confidentiality and integrity of data are not guaranteed. Though cloud… (more)

Karumanchi, Sushama

2010-01-01T23:59:59.000Z

354

Arctic Oil and Natural Gas Potential Philip Budzik U.S. Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Arctic Oil and Natural Gas Potential Arctic Oil and Natural Gas Potential Philip Budzik U.S. Energy Information Administration Office of Integrated Analysis and Forecasting Oil and Gas Division October, 2009 Introduction The Arctic is defined as the Northern hemisphere region located north of the Arctic Circle, the circle of latitude where sunlight is uniquely present or absent for 24 continuous hours on the summer and winter solstices, respectively. The Arctic Circle spans the globe at 66.56° (66°34') north latitude (Figure 1). 1 The Arctic could hold about 22 percent of the world's undiscovered conventional oil and natural gas resources. The prospects for Arctic oil and natural gas production are discussed taking into consideration the nature of the resources, the cost of developing them, and the

355

Fraunhofer ISST CLOUD COMPUTING APPLICATIONS  

E-Print Network [OSTI]

#12;© Fraunhofer ISST Fraunhofer Innovation Cluster »Cloud Computing for Logistics« Budget 3 * 3 Mio© Fraunhofer ISST CLOUD COMPUTING APPLICATIONS FOR LOGISTICS Jakob Rehof Professor, Chair of Software Engineering, Technical University of Dortmund Director, Fraunhofer-ISST Dortmund and Berlin First

Rajamani, Sriram K.

356

An enigmatic HI cloud  

E-Print Network [OSTI]

The discovery of an HI cloud with peculiar properties at equatorial coordinates (J2000) ra=07h49m, dec=04d30m is presented. The HI object was detected at 21cm using the 300-m NAIC Arecibo telescope. Subsequent follow-up high-resolution observations with the NRAO Very Large Array (VLA) telescope at L-Band revealed more details about its morphology. The most intriguing aspect of the object is the clear velocity gradient of 1 km/s, which is present in the data, an indication of either rotation or expansion. The gas appears to be cold, and its morphology is somewhat elliptical with clumpy substructure. Assuming disk rotation, the dynamical mass could be determined as a function of distance.Depending on the exact nature of the velocity gradient in the HI cloud, we can reach some preliminary conclusions about the nature of the object. Expansion would imply association with a circumstellar envelope of an evolved AGB star, while in the case of rotation, a comparison between the visible and the dynamical mass can lead...

Dedes, L; Kalberla, P W M

2008-01-01T23:59:59.000Z

357

An enigmatic HI cloud  

E-Print Network [OSTI]

The discovery of an HI cloud with peculiar properties at equatorial coordinates (J2000) ra=07h49m, dec=04d30m is presented. The HI object was detected at 21cm using the 300-m NAIC Arecibo telescope. Subsequent follow-up high-resolution observations with the NRAO Very Large Array (VLA) telescope at L-Band revealed more details about its morphology. The most intriguing aspect of the object is the clear velocity gradient of 1 km/s, which is present in the data, an indication of either rotation or expansion. The gas appears to be cold, and its morphology is somewhat elliptical with clumpy substructure. Assuming disk rotation, the dynamical mass could be determined as a function of distance.Depending on the exact nature of the velocity gradient in the HI cloud, we can reach some preliminary conclusions about the nature of the object. Expansion would imply association with a circumstellar envelope of an evolved AGB star, while in the case of rotation, a comparison between the visible and the dynamical mass can lead to some preliminary conclusions. A common feature of those conclusions is the presence of a gravitational potential well, which is required to account for the rotation of the trapped HI gas. This potential well could be associated with a dark galaxy or some other exotic object.

L. Dedes; C. Dedes; P. W. M Kalberla

2008-10-21T23:59:59.000Z

358

ARM - Measurement - Cloud ice particle  

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

ice particle ice particle ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud ice particle Particles made of ice found in clouds. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments MET : Surface Meteorological Instrumentation Field Campaign Instruments REPLICATOR : Balloon-borne Ice Crystal Replicator CPI : Cloud Particle Imager CVI-AIR : Counterflow Virtual Impactor LEARJET : Lear Jet PARTIMG : Particle imager UAV-PROTEUS-MICRO : Proteus Cloud Microphysics Instruments

359

TWP Island Cloud Trail Studies  

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

Pacific Island Cloud Trail Studies Pacific Island Cloud Trail Studies W. M. Porch Los Alamos National Laboratory Los Alamos, New Mexico S. Winiecki University of Chicago Chicago, Illinois Introduction Images and surface temperature measurements from the U.S. Department of Energy (DOE) Multi- spectral Thermal Imaging (MTI) satellite are combined with geostationary meteorological satellite (GMS) images during 2000 and 2001 to better understand cloud trail formation characteristics from the Atmospheric Radiation Measurement (ARM) Tropical Western Pacific (TWP) site. Figure 1 shows a comparison on two consecutive days in December 2000. The day for which a cloud trail developed was more moist and cooler at the altitude the cloud developed (about 600 m) and there was very little

360

ARM - Measurement - Cloud condensation nuclei  

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

condensation nuclei condensation nuclei ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud condensation nuclei Small particles (typically 0.0002 mm, or 1/100 th the size of a cloud droplet) about which cloud droplets coalesce. Categories Aerosols, Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments AOS : Aerosol Observing System CCN : Cloud Condensation Nuclei Particle Counter Field Campaign Instruments AOS : Aerosol Observing System

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


361

ARM - Measurement - Cloud base height  

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

base height base height ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud base height For a given cloud or cloud layer, the lowest level of the atmosphere where cloud properties are detectable. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments BLC : Belfort Laser Ceilometer MPL : Micropulse Lidar MWRP : Microwave Radiometer Profiler RL : Raman Lidar VCEIL : Vaisala Ceilometer External Instruments NOAASURF : NOAA Surface Meteorology Data, collected by NWS and NCDC

362

Zenith Radiance Retrieval of Cloud Properties  

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

retrievals of cloud properties retrievals of cloud properties from the AMF/COPS campaign Preliminary retrievals of cloud properties from the AMF/COPS campaign Christine Chiu, UMBC/JCET Alexander Marshak, GSFC Yuri Knyazikhin, Boston University Warren Wiscombe, GSFC Christine Chiu, UMBC/JCET Alexander Marshak, GSFC Yuri Knyazikhin, Boston University Warren Wiscombe, GSFC The cloud optical properties of interest are: The cloud optical properties of interest are: * Cloud optical depth τ - the great unknown * Radiative cloud fraction * Cloud effective drop size, r eff * Cloud optical depth τ - the great unknown * Radiative cloud fraction * Cloud effective drop size, r eff τ = 3 2 LWP r eff r eff in μm, LWP in g/m 2 The 2-ch narrow-field-of-view radiometer (2NFOV) The 2-ch narrow-field-of-view radiometer

363

Pacific Ocean Contribution to the Asymmetry in Eastern Indian Ocean Variability  

Science Journals Connector (OSTI)

Variations in eastern Indian Ocean upper-ocean thermal properties are assessed for the period 1970–2004, with a particular focus on asymmetric features related to opposite phases of Indian Ocean dipole events, using high-resolution ocean model ...

Caroline C. Ummenhofer; Franziska U. Schwarzkopf; Gary Meyers; Erik Behrens; Arne Biastoch; Claus W. Böning

2013-02-01T23:59:59.000Z

364

ARM - Lesson Plans: Ocean Currents  

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

Ocean Currents Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global...

365

Transitions of cloud-topped marine boundary layers characterized by AIRS, MODIS, and a large eddy simulation model  

SciTech Connect (OSTI)

Cloud top entrainment instability (CTEI) is a hypothesized positive feedback between entrainment mixing and evaporative cooling near the cloud top. Previous theoretical and numerical modeling studies have shown that the persistence or breakup of marine boundary layer (MBL) clouds may be sensitive to the CTEI parameter. Collocated thermodynamic profile and cloud observations obtained from the Atmospheric Infrared Sounder (AIRS) and Moderate Resolution Imaging Spectroradiometer (MODIS) instruments are used to quantify the relationship between the CTEI parameter and the cloud-topped MBL transition from stratocumulus to trade cumulus in the northeastern Pacific Ocean. Results derived from AIRS and MODIS are compared with numerical results from the UCLA large eddy simulation (LES) model for both well-mixed and decoupled MBLs. The satellite and model results both demonstrate a clear correlation between the CTEI parameter and MBL cloud fraction. Despite fundamental differences between LES steady state results and the instantaneous snapshot type of observations from satellites, significant correlations for both the instantaneous pixel-scale observations and the long-term averaged spatial patterns between the CTEI parameter and MBL cloud fraction are found from the satellite observations and are consistent with LES results. This suggests the potential of using AIRS and MODIS to quantify global and temporal characteristics of the cloud-topped MBL transition.

Yue, Qing; Kahn, Brian; Xiao, Heng; Schreier, Mathias; Fetzer, E. J.; Teixeira, J.; Suselj, Kay

2013-08-16T23:59:59.000Z

366

Scaling StudieS in arctic SyStem Science  

E-Print Network [OSTI]

Science (jgrebmei@umces.edu) *Lawrence Hamilton, university of new hampshire (lawrence during the april 2006 u.S. fish and Wildlife Service (uSfWS) Walrus Survey (photo by uSfWS/brad benter in 1984 by the arctic research and Policy act (Public law 98-373, July 31, 1984; amended as Public law 101

Wagner, Diane

367

A new way to study the changing Arctic ecosystem  

ScienceCinema (OSTI)

Berkeley Lab scientists Susan Hubbard and Margaret Torn discuss the proposed Next Generation Ecosystem Experiment, which is designed to answer one of the most urgent questions facing researchers today: How will a changing climate impact the Arctic, and how will this in turn impact the planet's climate? More info: http://newscenter.lbl.gov/feature-stories/2011/09/14/alaska-climate-change/

Hubbard, Susan

2013-05-29T23:59:59.000Z

368

National Strategy for the Arctic Region Stakeholder Outreach Meeting: Anchorage  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well as other DOE-related activities in the region. DOE, in conjunction with several other federal agencies, will host seven consultation sessions between October and December 2014.

369

National Strategy for the Arctic Region Tribal Consultation Session: Unalaska  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well as other DOE-related activities in the region. DOE, in conjunction with several other federal agencies, will host seven consultation sessions between October and December 2014.

370

National Strategy for the Arctic Region Tribal Consultation Session: Barrow  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well as other DOE-related activities in the region. DOE, in conjunction with several other federal agencies, will host seven consultation sessions between October and December 2014.

371

National Strategy for the Arctic Region Tribal Consultation Session: Nome  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well as other DOE-related activities in the region. DOE, in conjunction with several other federal agencies, will host seven consultation sessions between October and December 2014.

372

National Strategy for the Arctic Region Tribal Consultation Session: Kotzebue  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well as other DOE-related activities in the region. DOE, in conjunction with several other federal agencies, will host seven consultation sessions between October and December 2014.

373

National Strategy for the Arctic Region Tribal Consultation Session: Anchorage  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well as other DOE-related activities in the region. DOE, in conjunction with several other federal agencies, will host seven consultation sessions between October and December 2014.

374

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

SciTech Connect (OSTI)

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

George Tselioudis

2009-08-11T23:59:59.000Z

375

ATLAS Cloud R&D  

E-Print Network [OSTI]

The computing model of the ATLAS experiment was designed around the concept of grid computing and, since the start of data taking, this model has proven very successful. However, new cloud computing technologies bring attractive features to improve the operations and elasticity of scientific distributed computing. ATLAS sees grid and cloud computing as complementary technologies that will coexist at different levels of resource abstraction, and two years ago created an R&D working group to investigate the different integration scenarios. The ATLAS Cloud Computing R&D has been able to demonstrate the feasibility of offloading work from grid to cloud sites and, as of today, is able to integrate transparently various cloud resources into the PanDA workload management system. The ATLAS Cloud Computing R&D is operating various PanDA queues on private and public resources and has provided several hundred thousand CPU days to the experiment. As a result, the ATLAS Cloud Computing R&D group has gained...

Panitkin, S; The ATLAS collaboration; Caballero Bejar, J; Benjamin, D; DiGirolamo, A; Gable, I; Hendrix, V; Hover, J; Kucharczuk, K; Medrano LLamas, R; Love, P; Ohman, H; Paterson, M; Sobie, R; Taylor, R; Walker, R; Zaytsev, A

2013-01-01T23:59:59.000Z

376

ARM - Field Campaign - Observations and Modeling of the Green Ocean Amazon:  

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

SRI-PTR-ToFMS SRI-PTR-ToFMS Related Campaigns Observations and Modeling of the Green Ocean Amazon (GOAMAZON 2014) 2014.01.01, Martin, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Observations and Modeling of the Green Ocean Amazon: SRI-PTR-ToFMS 2014.01.01 - 2014.10.31 Lead Scientist : Alex Guenther Description One of the major uncertainties in climate model simulations is the effects of aerosols on radiative forcing and a better understanding of the factors controlling aerosol distributions and life cycle is urgently needed. Aerosols contribute directly to the Earth's radiation balance by scattering or absorbing light as a function of their physical properties and indirectly through particle-cloud interactions that lead to cloud

377

ARM - Field Campaign - Observations and Modeling of the Green Ocean Amazon:  

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

CHUVA CHUVA Related Campaigns Observations and Modeling of the Green Ocean Amazon (GOAMAZON 2014) 2014.01.01, Martin, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Observations and Modeling of the Green Ocean Amazon: CHUVA 2013.11.01 - 2014.10.31 Lead Scientist : Luiz Machado Description As one of the Brazilian components of the GOAMAZON field campaign, CHUVA is supported by FAPESP, or Fundação de Amparo a Pesquisa do Estado de São Paulo, (number 2009/15235-8) and coordinated by INPE, or Instituto Nacional de Pesquisas Espaciais. Meaning "rain" in Portuguese, CHUVA is the short name for the "Cloud processes of the main precipitation systems in Brazil: A contribution to cloud resolving modeling and to the GPM (Global

378

ARM - Field Campaign - Observations and Modeling of the Green Ocean Amazon:  

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

Size Size Resolved CCN Measurements Related Campaigns Observations and Modeling of the Green Ocean Amazon (GOAMAZON 2014) 2014.01.01, Martin, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Observations and Modeling of the Green Ocean Amazon: Size Resolved CCN Measurements 2014.01.01 - 2014.12.31 Lead Scientist : Jian Wang Description Aerosol indirect effects, which represent the impact of aerosols on climate through influencing the properties of clouds, remain one of the main uncertainties in climate predictions (IPCC, 2007). Reducing this large uncertainty requires both improved understanding and representation of aerosol properties and processes in climate models, including the cloud activation properties of aerosols. The Atmospheric System Research (ASR)

379

IBM Software Solution Brief Safeguarding the cloud  

E-Print Network [OSTI]

IBM Software Solution Brief Safeguarding the cloud with IBM Security solutions Maintain visibility and control with proven security solutions for public, private and hybrid clouds Highlights Address cloud internal and external users, data, applications and workloads as they move to and from the cloud Regain

380

CLOUD COMPUTING INFRASTRUCTURE AND OPERATIONS PROGRAM  

E-Print Network [OSTI]

CLOUD COMPUTING INFRASTRUCTURE AND OPERATIONS PROGRAM A six-week in-depth program in the architectures, infrastructure, and operations of Cloud Computing DePaul University's Cloud Computing Infrastructure and Operations Program provides specialized knowledge in Cloud infrastructure with emphasis

Schaefer, Marcus

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


381

Locus Technologies 2014 Lost in the Cloud?  

E-Print Network [OSTI]

© Locus Technologies 2014 Lost in the Cloud? There's an App for That David McConaughy Locus Technologies 1997-2014 4 #12;Cloud-based EMIS 2014© Locus Technologies 1997-2014 5 #12; Cloud Synch data back to EIM cloud for analysis 2014© Locus Technologies 1997-2014 9 #12;Mobile Apps for Data

Illinois at Urbana-Champaign, University of

382

7, 1711717146, 2007 Dependence of cloud  

E-Print Network [OSTI]

ACPD 7, 17117­17146, 2007 Dependence of cloud fraction and cloud height on temperature T. Wagner et a Creative Commons License. Atmospheric Chemistry and Physics Discussions Dependence of cloud fraction and cloud top height on surface temperature derived from spectrally resolved UV/vis satellite observations T

Paris-Sud XI, Université de

383

Cloud Computing An enterprise perspective Raghavan Subramanian  

E-Print Network [OSTI]

Cloud Computing ­ An enterprise perspective Raghavan Subramanian Infosys Technologies Limited #12;2Infosys Confidential Overview of cloud computing? Cloud computing* Computing in which dynamically scalable of cloud computing 1. On-demand self-service 2. Ubiquitous network access 3. Location independent resource

Rajamani, Sriram K.

384

Cloud Futures Workshop 2010 Cloud Computing Support for Massively Social Gaming Alexandru Iosup  

E-Print Network [OSTI]

1 Cloud Futures Workshop 2010 ­ Cloud Computing Support for Massively Social Gaming Alexandru Iosup Pierre (Vrije U.). Cloud Computing Support for Massively Social Gaming (Rain for the Thirsty) #12;Cloud Futures Workshop 2010 ­ Cloud Computing Support for Massively Social Gaming 2 Intermezzo: Tips on how

Iosup, Alexandru

385

CLOUD, DRIZZLE, AND TURBULENCE OBSERVATIONS IN MARINE STRATOCUMULUS CLOUDS IN THE AZORES  

E-Print Network [OSTI]

CLOUD, DRIZZLE, AND TURBULENCE OBSERVATIONS IN MARINE STRATOCUMULUS CLOUDS IN THE AZORES Jasmine at the Azores provided a unique, long-term record (May 2009 to December 2010) of cloud observations in a regime dominated by low-level stratiform clouds. First, a comprehensive cloud classification scheme that utilizes

386

Cloud radar Doppler spectra in drizzling stratiform clouds: 2. Observations and microphysical modeling of drizzle evolution  

E-Print Network [OSTI]

Cloud radar Doppler spectra in drizzling stratiform clouds: 2. Observations and microphysical 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

387

Vision: Cloud-Powered Sight for All Showing the Cloud What You See  

E-Print Network [OSTI]

Vision: Cloud-Powered Sight for All Showing the Cloud What You See Paramvir Bahl Matthai Philipose argue that for computers to do more for us, we need to show the cloud what we see and embrace cloud General Terms Algorithms, Design, Human Factors, Languages, Performance, Security Keywords Camera, cloud

Zhong, Lin

388

Geoengineering Downwelling Ocean Currents: A Cost Assessment  

Science Journals Connector (OSTI)

Downwelling ocean currents carry carbon into the deep ocean (the solubility pump), and play a ... weakening of the NADW is modification of downwelling ocean currents, by an increase in carbon concentration or ......

S. Zhou; P. C. Flynn

2005-07-01T23:59:59.000Z

389

Legal Implications of CO2 Ocean Storage  

E-Print Network [OSTI]

, ocean currents may prevent stagnation or accumulatioLegal Implications of CO2 Ocean Storage Jason Heinrich Working Paper Laboratory for Energy #12;Introduction Ocean sequestration of CO2, a potentially significant technique to be used

390

Ocean currents help explain population genetic structure  

Science Journals Connector (OSTI)

...original work is properly cited. Ocean currents help explain population genetic...larval dispersal estimates based on ocean current observations, we demonstrate...Data-assimilated models of ocean currents for the study region were produced...

2010-01-01T23:59:59.000Z

391

Configuration of a Southern Ocean Storm Track  

Science Journals Connector (OSTI)

Diagnostics of ocean variability that reflect and influence local transport properties of heat and chemical species vary by an order of magnitude along the Southern Ocean’s Antarctic Circumpolar Current (ACC). Topographic “hotspots” are important ...

Tobias Bischoff; Andrew F. Thompson

2014-12-01T23:59:59.000Z

392

Pelagic Polychaetes of the Pacific Ocean  

E-Print Network [OSTI]

Polyc'kaetes of the Pacific Ocean CLAPARtDE,E. 1868. LesPolyc'haetes of the Pacific Ocean KINBERG, J. G. H. 1866.Polyc'kaetes of the Pacific Ocean TREADWELL, A. L. 1906.

Dales, K Phillips

1957-01-01T23:59:59.000Z

393

ocean | OpenEI  

Open Energy Info (EERE)

ocean ocean Dataset Summary Description This shapefile represents the seasonal winter depth profile to reach water at a temperature of 20ºC. Source NREL Date Released October 28th, 2012 (2 years ago) Date Updated Unknown Keywords depth profile hydrokinetic ocean ocean energy ocean thermal energy conversion OTEC seawater cooling thermal Data application/zip icon OTEC Seawater Cooling 20ºC Depth Profile - Winter Average (zip, 1.1 MiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period March 2009 - February 2011 License License Other or unspecified, see optional comment below Comment This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

394

Evaluation of cloud fraction and its radiative effect simulated by IPCC AR4 global models against ARM surface observations  

SciTech Connect (OSTI)

Cloud Fraction (CF) is the dominant modulator of radiative fluxes. In this study, we evaluate CF simulations in the IPCC AR4 GCMs against ARM ground measurements, with a focus on the vertical structure, total amount of cloud and its effect on cloud shortwave transmissivity, for both inter-model deviation and model-measurement discrepancy. Our intercomparisons of three CF or sky-cover related dataset reveal that the relative differences are usually less than 10% (5%) for multi-year monthly (annual) mean values, while daily differences are quite significant. The results also show that the model-observation and the inter-model deviations have a similar magnitude for the total CF (TCF) and the normalized cloud effect, and they are twice as large as the surface downward solar radiation and cloud transmissivity. This implies that the other cloud properties, such as cloud optical depth and height, have a similar magnitude of disparity to TCF among the GCMs, and suggests that a better agreement among the GCMs in solar radiative fluxes could be the result of compensating errors in either cloud vertical structure, cloud optical depth or cloud fraction. Similar deviation pattern between inter-model and model-measurement suggests that the climate models tend to generate larger bias against observations for those variables with larger inter-model deviation. The simulated TCF from IPCC AR4 GCMs are very scattered through all seasons over three ARM sites: Southern Great Plains (SGP), Manus, Papua New Guinea and North Slope of Alaska (NSA). The GCMs perform better at SGP than at Manus and NSA in simulating the seasonal variation and probability distribution of TCF; however, the TCF in these models is remarkably underpredicted and cloud transmissivity is less susceptible to the change of TCF than the observed at SGP. Much larger inter-model deviation and model bias are found over NSA than the other sites in estimating the TCF, cloud transmissivity and cloud-radiation interaction, suggesting that the Arctic region continues to challenge cloud simulations in climate models. Most of the GCMs tend to underpredict CF and fail to capture the seasonal variation of CF at middle and low levels in the tropics. The high altitude CF is much larger in the GCMs than the observation and the inter-model variability of CF also reaches maximum at high levels in the tropics. Most of the GCMs tend to underpredict CF by 50-150% relative to the measurement average at low and middle levels over SGP. While the GCMs generally capture the maximum CF in the boundary layer and vertical variability, the inter-model deviation is largest near surface over the Arctic. The internal variability of CF simulated in ensemble runs with the same model is very minimal.

Qian, Yun; Long, Charles N.; Wang, Hailong; Comstock, Jennifer M.; McFarlane, Sally A.; Xie, Shaocheng

2012-02-17T23:59:59.000Z

395

Good morning, everyone. I'm Martin Jeffries, Principal Editor of the Arctic Report Card and a science advisor to the U.S. Arctic  

E-Print Network [OSTI]

of the University of Virginia, and Dr. Don Perovich of Dartmouth College. They will talk about vegetation and sea to independent peer-review organized by the Arctic Monitoring and Assessment Programme (AMAP) of the Arctic Council. Key highlights from the essays are presented on the front page of the Web site, where you'll also

396

Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High-Resolution Regional Arctic Climate System Model  

SciTech Connect (OSTI)

Primary activities are reported in these areas: climate system component studies via one-way coupling experiments; development of the Regional Arctic Climate System Model (RACM); and physical feedback studies focusing on changes in Arctic sea ice using the fully coupled model.

Lettenmaier, Dennis P

2013-04-08T23:59:59.000Z

397

The Plastic Ocean Michael Gonsior  

E-Print Network [OSTI]

The Plastic Ocean Michael Gonsior Bonnie Monteleone, William Cooper, Jennifer O'Keefe, Pamela Seaton, and Maureen Conte #12;#12;#12;Plastic does not biodegrade it photo-degrades breaking down is the plastic cheese wrap? Unfortunately, marine creatures mistake plastics in the ocean for food #12

Boynton, Walter R.

398

GENERATING ELECTRICITY USING OCEAN WAVES  

E-Print Network [OSTI]

GENERATING ELECTRICITY USING OCEAN WAVES A RENEWABLE SOURCE OF ENERGY REPORT FOR THE HONG KONG ELECTRIC COMPANY LIMITED Dr L F Yeung Mr Paul Hodgson Dr Robin Bradbeer July 2007 #12;Ocean Waves and construction of equipment that could measure and log wave conditions and tide levels at Hoi Ha Wan. Prototypes

Bradbeer, Robin Sarah

399

Modeling of Oceanic Gas Hydrate Instability and Methane Release in Response to Climate Change  

SciTech Connect (OSTI)

Paleooceanographic evidence has been used to postulate that methane from oceanic hydrates may have had a significant role in regulating global climate, implicating global oceanic deposits of methane gas hydrate as the main culprit in instances of rapid climate change that have occurred in the past. However, the behavior of contemporary oceanic methane hydrate deposits subjected to rapid temperature changes, like those predicted under future climate change scenarios, is poorly understood. To determine the fate of the carbon stored in these hydrates, we performed simulations of oceanic gas hydrate accumulations subjected to temperature changes at the seafloor and assessed the potential for methane release into the ocean. Our modeling analysis considered the properties of benthic sediments, the saturation and distribution of the hydrates, the ocean depth, the initial seafloor temperature, and for the first time, estimated the effect of benthic biogeochemical activity. The results show that shallow deposits--such as those found in arctic regions or in the Gulf of Mexico--can undergo rapid dissociation and produce significant methane fluxes of 2 to 13 mol/yr/m{sup 2} over a period of decades, and release up to 1,100 mol of methane per m{sup 2} of seafloor in a century. These fluxes may exceed the ability of the seafloor environment (via anaerobic oxidation of methane) to consume the released methane or sequester the carbon. These results will provide a source term to regional or global climate models in order to assess the coupling of gas hydrate deposits to changes in the global climate.

Reagan, Matthew; Reagan, Matthew T.; Moridis, George J.

2008-04-15T23:59:59.000Z

400

Millimeter Wave Cloud Radar (MMCR) Handbook  

SciTech Connect (OSTI)

The millimeter cloud radar (MMCR) systems probe the extent and composition of clouds at millimeter wavelengths. The MMCR is a zenith-pointing radar that operates at a frequency of 35 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar will also report radar reflectivity (dBZ) of the atmosphere up to 20 km. The radar possesses a doppler capability that will allow the measurement of cloud constituent vertical velocities.

KB Widener; K Johnson

2005-01-30T23:59:59.000Z

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


401

Ocean Navitas | Open Energy Information  

Open Energy Info (EERE)

Navitas Navitas Jump to: navigation, search Name Ocean Navitas Address Nursery House Place United Kingdom Zip DN21 5BQ Sector Ocean Product Ocean Navitas was incorporated in May 2006 by experienced engineers, businessmen and sailing enthusiasts David Hunt, James McCague and Simon Condry. Website http://www.oceannavitas.com Region United Kingdom References Ocean NavitasUNIQ75db538f85b32404-ref-000014E2-QINU LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This company is listed in the Marine and Hydrokinetic Technology Database. This company is involved in the following MHK Projects: Ocean Navitas NaREC This company is involved in the following MHK Technologies: Aegir Dynamo This article is a stub. You can help OpenEI by expanding it.

402

Ocean - FAQ | Data.gov  

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

FAQ FAQ Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Frequently Asked Questions Following are some Frequently Asked Questions, we hope to add to this list as we hear from you. Questions What is Ocean.data.gov? How can I use this resource? What data can I expect to find here? Where do these data come from? Can data from State and academic sources be included in this portal? Who can suggest data and information to be included in Ocean.data.gov? Who decides what data are included? How do I get involved? How does this differ from other data efforts such as regional data portals? Where do I find information about data standards, metadata standards, and formats? Can we provide feedback about a particular dataset?

403

Mesoscale Coupled Ocean-Atmosphere Interaction  

E-Print Network [OSTI]

heat flux, and wind power input to the ocean. Geophys. Res.Powers and Stoelinga (2000). They developed a comprehensive atmosphere-ocean-

Seo, Hyodae

2007-01-01T23:59:59.000Z

404

Mesoscale coupled ocean-atmosphere interaction  

E-Print Network [OSTI]

heat flux, and wind power input to the ocean. Geophys. Res.Powers and Stoelinga (2000). They developed a comprehensive atmosphere-ocean-

Seo, Hyodae

2007-01-01T23:59:59.000Z

405

Aspects of modeling the North Pacific Ocean.  

E-Print Network [OSTI]

??Three aspects of the problem of modeling North Pacific Ocean climate are investigated: the effect of viscosity on effective model resolution, the effect of ocean… (more)

Dawe, Jordan Tyler

2006-01-01T23:59:59.000Z

406

ARM - Field Campaign - Cloud IOP  

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

govCampaignsCloud IOP govCampaignsCloud IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Cloud IOP 1998.04.27 - 1998.05.17 Lead Scientist : Gerald Mace For data sets, see below. Summary Monday, April 27, 1998 IOP Opening Activities: Heavy rain (nearly 2.5" since 12Z 4/26/98) at the central facility (CF) dominated the first day of the Cloud Physics/Single Column Model IOP and limited the daily activities. A 1430 GMT sonde launch commenced the 3-hour sonde launch schedule at the CF and 4 boundary facilities (BFs). Scientists/Instrumentation on Site: Citation: Has arrived and is located at the Ponca City Airport. No flights are currently planned. Flights are tentatively planned for stratus sampling when precipitation ends.

407

Cloud Computing for Telecom Systems.  

E-Print Network [OSTI]

??Context: Cloud computing is reshaping the service-delivery and business-models in Information and Communications Technology (ICT). The Information Technology (IT) sector has benefited from it in… (more)

Sapkota, Sagar

2011-01-01T23:59:59.000Z

408

Energy-Efficient Cloud Computing  

Science Journals Connector (OSTI)

......Centre & IT Equipment Energy Use. Proc. Digital Power...2007. pp. 1323. ACM, New York. [7] Energy Star, http://www...pp. 164177. ACM, New York. [32] Pratt, I...Vol. 53 No. 7, 2010 Energy-Efficient Cloud Computing......

Andreas Berl; Erol Gelenbe; Marco Di Girolamo; Giovanni Giuliani; Hermann De Meer; Minh Quan Dang; Kostas Pentikousis

2010-09-01T23:59:59.000Z

409

Ocean Energy Technology Basics | Department of Energy  

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

Ocean Energy Technology Basics Ocean Energy Technology Basics Ocean Energy Technology Basics August 16, 2013 - 4:18pm Addthis Text Version Photo of low waves in the ocean. A dock is visible in the background. Oceans cover more than 70% of the Earth's surface. As the world's largest solar collectors, oceans contain thermal energy from the sun and produce mechanical energy from tides and waves. Even though the sun affects all ocean activity, the gravitational pull of the moon primarily drives tides, and wind powers ocean waves. Learn more about: Ocean Thermal Energy Conversion Tidal Energy Wave Energy Ocean Resources Addthis Related Articles Energy Department Releases New Energy 101 Video on Ocean Power A map generated by Georgia Tech's tidal energy resource database shows mean current speed of tidal streams. The East Coast, as shown above, has strong tides that could be tapped to produce energy. | Photo courtesy of Georgia Institute of Technology

410

Cloud condensation nuclei in Western Colorado : observations and model predictions.  

E-Print Network [OSTI]

??Variations in the warm cloud?active portion of atmospheric aerosols, or cloud condensation nuclei (CCN), have been shown to impact cloud droplet number concentration and subsequently… (more)

Ward, Daniel Stewart

2010-01-01T23:59:59.000Z

411

Title: Networking the Cloud: Enabling Enterprise Computing and Storage Cloud computing has been changing how enterprises run and manage their IT systems. Cloud  

E-Print Network [OSTI]

Title: Networking the Cloud: Enabling Enterprise Computing and Storage Abstract: Cloud computing has been changing how enterprises run and manage their IT systems. Cloud computing platforms provide introduction on Cloud Computing. We propose a Virtual Cloud Pool abstraction to logically unify cloud

412

Global Distribution and Climate Forcing of Marine Organic Aerosol - Part 2: Effects on Cloud Properties and Radiative Forcing  

SciTech Connect (OSTI)

A series of simulations with the Community Atmosphere Model version 5 (CAM5) with a 7-mode Modal Aerosol Model were conducted to assess the changes in cloud microphysical properties and radiative forcing resulting from marine organic aerosols. Model simulations show that the anthropogenic aerosol indirect forcing (AIF) predicted by CAM5 is decreased in absolute magnitude by up to 0.09 Wm{sup -2} (7 %) when marine organic aerosols are included. Changes in the AIF from marine organic aerosols are associated with small global increases in low-level incloud droplet number concentration and liquid water path of 1.3 cm{sup -3} (1.5 %) and 0.22 gm{sup -2} (0.5 %), respectively. Areas especially sensitive to changes in cloud properties due to marine organic aerosol include the Southern Ocean, North Pacific Ocean, and North Atlantic Ocean, all of which are characterized by high marine organic emission rates. As climate models are particularly sensitive to the background aerosol concentration, this small but non-negligible change in the AIF due to marine organic aerosols provides a notable link for ocean-ecosystem marine low-level cloud interactions and may be a candidate for consideration in future earth system models.

Gantt, Brett; Xu, Jun; Meskhidze, N.; Zhang, Yang; Nenes, Athanasios; Ghan, Steven J.; Liu, Xiaohong; Easter, Richard C.; Zaveri, Rahul A.

2012-07-25T23:59:59.000Z

413

E-Print Network 3.0 - arctas arctic research Sample Search Results  

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

and climate. The spring portion of ARCTAS... , and radiative heating in the Arctic. The NASA Langley ... Source: Brookhaven National Laboratory, Environmental Chemistry Division,...

414

E-Print Network 3.0 - arctic microbial ecosystems Sample Search...  

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

microbial ecosystems Page: << < 1 2 3 4 5 > >> 1 Microbial ecosystem responses to rapid climate change in the Arctic Summary: COMMENTARY Microbial ecosystem responses to rapid...

415

E-Print Network 3.0 - arctic russia sedimentology Sample Search...  

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

russia sedimentology Search Powered by Explorit Topic List Advanced Search Sample search results for: arctic russia sedimentology Page: << < 1 2 3 4 5 > >> 1 CURRICULUM VITAE Julie...

416

Biodiversity and phylogeography of Arctic marine fauna: insights from molecular tools  

Science Journals Connector (OSTI)

Incorporation of molecular tools into biodiversity and biogeographic studies can help to address ... among extant populations. Novel discoveries in Arctic marine biodiversity and biogeography are increasing due t...

Sarah Mincks Hardy; Christina M. Carr; Michael Hardman; Dirk Steinke…

2011-03-01T23:59:59.000Z

417

Plant Root Characteristics and Dynamics in Arctic Tundra Ecosystems, 1960-2012  

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

A synthesis of the available literature on tundra root distribution and dynamics, and their role in key ecosystem processes in the Arctic.

Sullivan, Paddy; Sloan, Victoria; Warren, Jeff; McGuire, Dave; Euskirchen, Eugenie; Norby, Richard; Iversen, Colleen; Walker, Anthony; Wullschleger, Stan

418

E-Print Network 3.0 - arctic oil spill Sample Search Results  

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

have to be prevented in advance ." (FI) "Cruise ships are so large... Spill Arctic weather or ice conditions can suddenly change - The inexperienced will certainly...

419

E-Print Network 3.0 - arctic marine mammals Sample Search Results  

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

K. FURGIONE Summary: resources. Arctic populations rely heavily on aviation and marine weather for safe transportation and access... outlets from internet to high frequency...

420

E-Print Network 3.0 - arctic marine food Sample Search Results  

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

mammals... the Arctic (Figure 3). The loss of sea ice affects marine access, regional weather, ecosystem changes... . Such a system also includes a marine Distributed...

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


421

E-Print Network 3.0 - arctic marine sediments Sample Search Results  

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

mammals... the Arctic (Figure 3). The loss of sea ice affects marine access, regional weather, ecosystem changes... . Such a system also includes a marine Distributed...

422

E-Print Network 3.0 - arctic national wildlife Sample Search...  

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

12;NOAA Arctic Tiger Team Laura K. Furgione Deputy Assistant Administrator National Weather Service... goals and establishes, enhances, or leverages partnerships with other...

423

E-Print Network 3.0 - arctic marine ecosystem Sample Search Results  

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

Summary: the Arctic (Figure 3). The loss of sea ice affects marine access, regional weather, ecosystem changes... to provide reliable predictions of the changes coming to...

424

E-Print Network 3.0 - arctic boundary layer Sample Search Results  

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

12;NOAA Arctic Tiger Team Laura K. Furgione Deputy Assistant Administrator National Weather ... Source: Kuligowski, Bob - Satellite Meteorology and Climatology Division,...

425

E-Print Network 3.0 - arctic vegetation damage Sample Search...  

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

12;NOAA Arctic Tiger Team Laura K. Furgione Deputy Assistant Administrator National Weather ... Source: Kuligowski, Bob - Satellite Meteorology and Climatology Division,...

426

E-Print Network 3.0 - arctic sponge haliclona Sample Search Results  

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

Sample search results for: arctic sponge haliclona Page: << < 1 2 3 4 5 > >> 1 MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Summary: ). The sponges Clathrina canariensis,...

427

E-Print Network 3.0 - arctic ecosystems dominated Sample Search...  

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

Collection: Biology and Medicine ; Environmental Sciences and Ecology 4 Microbial ecosystem responses to rapid climate change in the Arctic Summary: COMMENTARY Microbial...

428

E-Print Network 3.0 - arctic populations affects Sample Search...  

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

prohibit, commercial fishing for Arctic fish and to ensure subsistence fishing is not affected... and uncertain population dynamics and abundance. Under the ... Source: NOAA Marine...

429

E-Print Network 3.0 - arctic east siberia Sample Search Results  

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

sources in East Asia and Europe, with added... to Arctic sulfate from the Norilsk industrial site in ... Source: Jimenez, Jose-Luis - Department of Chemistry and...

430

E-Print Network 3.0 - arctic levels sources Sample Search Results  

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

AGENCY: National Marine Fisheries Service (NMFS), National... rule that implements the Fishery Management Plan for Fish Resources of the Arctic ... Source: NOAA Marine Fisheries...

431

E-Print Network 3.0 - arctic fox pups Sample Search Results  

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

. Mortality of arctic ... Source: Hayssen, Virginia - Department of Biological Sciences, Smith College Collection: Environmental Sciences and Ecology 2 Leashing the AlphaWolves:...

432

E-Print Network 3.0 - arctic troposphere northeast Sample Search...  

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

the arctic front then produced an incipient surface low. Next a jet streak in the middle troposphere crossed... January-February 1991 Published by Sigma Xi ... Source:...

433

Arctic daily temperature and precipitation extremes: Observed and simulated physical behavior.  

E-Print Network [OSTI]

??ARCTIC DAILY TEMPERATURE AND PRECIPITATION EXTREMES: OBSERVED AND SIMULATED PHYSICAL BEHAVIOR Justin M. Glisan Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa… (more)

Glisan, Justin Michael

2012-01-01T23:59:59.000Z

434

ARM - Publications: Science Team Meeting Documents  

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

The North Slope of Alaska CART and Arctic Change 2002 The North Slope of Alaska CART and Arctic Change 2002 Zak, B.D., Zirzow, J.A., and Einfeld, W., Sandia National Laboratories Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting The North Slope of Alaska/Adjacent Arctic Ocean (NSA/AAO) Cloud and Radiation Testbed (CART), operational since spring of 1998, is maturing just in time for the push to understand the far-reaching changes in the Arctic presently occurring. From the mid 1970s to the mid 1990s, arctic sea ice areal coverage has decreased about 5%, but ice thickness appears to have decreased about 40%. In addition, temperature and salinity patterns in the Arctic Ocean and the associated thermohaline circulation have been affected, as have many other climate-related processes. An Arctic

435

A REVIEW OF GLOBAL OCEAN TEMPERATURE OBSERVATIONS: IMPLICATIONS FOR OCEAN  

E-Print Network [OSTI]

by taking an inventory of changes in energy storage. The main storage is in the ocean, the latest values, Energy Sustainable Economic, Earth's energy imbalance, and thermosteric sea level rise. Up-to-date estimates are provided

436

composition of putative oceans on  

E-Print Network [OSTI]

#12;Results: Oceanic water composition · Oceanic water is a NaCl-CaCl2 solution · Large Cl mass · Cl in a "soda ocean" Temperature, o C 100 200 300 400 500 Concentration,mole/kgH2O 0.01 0.1 1 Cl- CaCl2 CaCl+ Na calcite · Quartz · Na-K feldspars · Anhydrite · Pyrite · Hematite/magnetite · Evaporites: NaCl+CaCl2 350o

Treiman, Allan H.

437

Genome Sequence of the Arctic Methanotroph Methylobacter tundripaludum SV96  

SciTech Connect (OSTI)

Methylobacter tundripaludum SV96(T) (ATCC BAA-1195) is a psychrotolerant aerobic methane-oxidizing gammaproteobacterium (Methylococcales, Methylococcaceae) living in High Arctic wetland soil. The strain was isolated from soil harvested in July 1996 close to the settlement Ny-Alesund, Svalbard, Norway (78 degrees 56'N, 11 degrees 53'E), and described as a novel species in 2006. The genome includes pmo and pxm operons encoding copper membrane monooxygenases (Cu-MMOs), genes required for nitrogen fixation, and the nirS gene implicated in dissimilatory nitrite reduction to NO but no identifiable inventory for further processing of nitrogen oxides. These genome data provide the basis to investigate M. tundripaludum SV96, identified as a major player in the biogeochemistry of Arctic environments.

Svenning, Mette M [University of Tromso, Norway; Hestnes, Anne Grethe [University of Tromso, Norway; Wartiainen, Ingvild [University of Tromso, Norway; Stein, Lisa Y. [University of Alberta, Edmondton, Canada; Klotz, Martin G [University of Louisville, Louisville; Kalyuzhnaya, Marina G. [University of Washington, Seattle; Spang, Anja [University of Vienna, Austria; Bringel, Francoise O. [University of Strasbourg; Vuilleumier, Stephane [University of Strasbourg; Lajus, Aurelie [Genoscope/Centre National de la Recherche Scientifique-Unite Mixte de Recherche; Medigue, Claudine [Genoscope/Centre National de la Recherche Scientifique-Unite Mixte de Recherche; Bruce, David [Los Alamos National Laboratory (LANL); Cheng, Jan-Fang [U.S. Department of Energy, Joint Genome Institute; Goodwin, Lynne A. [Los Alamos National Laboratory (LANL); Ivanova, N [U.S. Department of Energy, Joint Genome Institute; Han, James [U.S. Department of Energy, Joint Genome Institute; Han, Cliff [Los Alamos National Laboratory (LANL); Hauser, Loren John [ORNL; Held, Brittany [Los Alamos National Laboratory (LANL); Land, Miriam L [ORNL; Lapidus, Alla L. [U.S. Department of Energy, Joint Genome Institute; Lucas, Susan [U.S. Department of Energy, Joint Genome Institute; Nolan, Matt [U.S. Department of Energy, Joint Genome Institute; Pitluck, Sam [U.S. Department of Energy, Joint Genome Institute; Woyke, Tanja [U.S. Department of Energy, Joint Genome Institute

2011-01-01T23:59:59.000Z

438

National Strategy for the Arctic Region Stakeholder Outreach Meeting: Unalaska  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well as other DOE-related activities in the region. DOE, in conjunction with several other federal agencies, will host seven tribal consultation sessions and seven stakeholder outreach meetings between October and December 2014.

439

National Strategy for the Arctic Region Stakeholder Outreach Meeting: Fairbanks  

Broader source: Energy.gov [DOE]

DOE is seeking input from federally recognized Alaska Native Tribes and Alaska Native corporations on a 10-year implementation plan as part of the National Strategy for the Arctic Region, as well as other DOE-related activities in the region. DOE, in conjunction with several other federal agencies, will host seven tribal consultation sessions and seven stakeholder outreach meetings between October and December 2014.

440

Heat Content Changes in the Pacific Ocean  

E-Print Network [OSTI]

Heat Content Changes in the Pacific Ocean The Acoustic Thermometry of Ocean Cli- mate (ATOC assimilating ocean observations and changes expected from surface heat fluxes as measured by the daily National are a result of advection of heat by ocean currents. We calculate that the most likely cause of the discrepancy

Frandsen, Jannette B.

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


441

Framing and Identity in the Gwich’in Campaign against Oil Development in the Arctic National Wildlife Refuge  

E-Print Network [OSTI]

1995). Time to permit oil drilling in the Arctic Refuge (campaign against oil drilling in the Arctic National case.   Although oil exploration and drilling has, to this 

Graybeal, Pam M.

2005-01-01T23:59:59.000Z

442

Planning the Next Generation of Arctic Ecosystem Experiments  

SciTech Connect (OSTI)

Climate Change Experiments in High-Latitude Ecosystems; Fairbanks, Alaska, 13-14 October 2010; A 2-day climate change workshop was held at the International Arctic Research Center, University of Alaska Fairbanks. The workshop, sponsored by Biological and Environmental Research, Office of Science, U.S. Department of Energy (DOE), was attended by 45 subject matter experts from universities, DOE national laboratories, and other federal and nongovernmental organizations. The workshop sought to engage the Arctic science community in planning for a proposed Next-Generation Ecosystem Experiments (NGEE-Arctic) project in Alaska (http:// ngee.ornl.gov/). The goal of this activity is to provide data, theory, and models to improve representations of high-latitude terrestrial processes in Earth system models. In particular, there is a need to better understand the processes by which warming may drive increased plant productivity and atmospheric carbon uptake and storage in biomass and soils, as well as those processes that may drive an increase in the release of methane (CH{sub 4}) and carbon dioxide (CO{sub 2}) through microbial decomposition of soil carbon stored in thawing permafrost. This understanding is required to quantify the important feedback mechanisms that define the role of terrestrial processes in regional and global climate.

Hinzman, Larry D [International Arctic Research Center; Wilson, Cathy [Los Alamos National Laboratory (LANL)

2011-01-01T23:59:59.000Z

443

Ocean Sci., 3, 417427, 2007 www.ocean-sci.net/3/417/2007/  

E-Print Network [OSTI]

Deacon Cell. When the ocean currents are averaged zon- ally to produce a meridional overturningOcean Sci., 3, 417­427, 2007 www.ocean-sci.net/3/417/2007/ © Author(s) 2007. This work is licensed under a Creative Commons License. Ocean Science On the fast response of the Southern Ocean to changes

Paris-Sud XI, Université de

444

Silicic acid leakage from the Southern Ocean: Opposing effects of nutrient uptake and oceanic circulation  

E-Print Network [OSTI]

to the thermocline region of low latitudes. The power of Southern Ocean intermediate waters to affect phytoplanktonSilicic acid leakage from the Southern Ocean: Opposing effects of nutrient uptake and oceanic in formation rate of Southern Ocean intermediate waters. Comparison of d30 Si records from the Southern Ocean

Pahnke, Katharina

445

Toward Energetically Consistent Ocean Models  

Science Journals Connector (OSTI)

Possibilities to construct a realistic quasi-global ocean model in Boussinesq approximation with a closed energy cycle are explored in this study. In such a model, the energy related to the mean variables would interact with all parameterized ...

Carsten Eden; Lars Czeschel; Dirk Olbers

2014-12-01T23:59:59.000Z

446

Ocean Currents at Rocas Alijos  

Science Journals Connector (OSTI)

The flow of oceanic water over and around an obstacle such as a seamount or island has the potential to profoundly affect the local biological community (Hamner and Hauri, 1986; Wolanski and Hamner, 1988). If ...

Shirley Vaughan; Ronald K. Skinner; Robert W. Schmieder; Brian McGuire

1996-01-01T23:59:59.000Z

447

Conference on oceans draws Clinton  

Science Journals Connector (OSTI)

Against the tranquil backdrop of Monterey Bay, Calif., President Bill Clinton earlier this month signed a measure extending the U.S. ban on offshore oil drilling, and he proposed several sweeping initiatives to protect, restore, and explore the oceans....

ELIZABETH WILSON

1998-06-22T23:59:59.000Z

448

Pacific Ocean Islands – Editorial Introduction  

Science Journals Connector (OSTI)

Islands in the Pacific Ocean are of three kinds (Nunn 2005). ... Most of the islands lie in the SW Pacific, but the Galapagos, Clipperton, and Easter ... Island are volcanic islands rising from the East Pacific R...

2010-01-01T23:59:59.000Z

449

ARM - Publications: Science Team Meeting Documents  

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

Seasonal Variability in Cloud Cover, Cloud Base Height, and Cloud Liquid Seasonal Variability in Cloud Cover, Cloud Base Height, and Cloud Liquid Water Content at the North Slope of Alaska and the Adjacent Arctic Ocean Takara, E.E. and Ellingson, R.G., University of Maryland Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting It is well known that complete radiative transfer calculations for broken cloud fields are extremely complex and time consuming. Furthermore, the solution for a particular broken cloud field is not particularly useful for evaluating cloud effects. For that reason, is common to parameterize the cloud effects by using an effective cloud fraction. In general circulation models, it is common to use theabsolute cloud amount as the effective cloud fractions. This can be an effective for cloud fields where the cloud

450

DSM Will Acquire Ocean Nutrition  

Science Journals Connector (OSTI)

DSM Will Acquire Ocean Nutrition ... Dutch chemical maker DSM will spend about $530 million to acquire Ocean Nutrition Canada, which calls itself the world’s largest supplier of omega-3 fatty acids to the dietary supplement and food manufacturing markets. ... DSM says the acquisition is the fifth purchase it has made in the nutrition field since September 2010, when it announced a corporate strategy to expand in the health, nutrition, and industrial materials markets. ...

MICHAEL MCCOY

2012-05-28T23:59:59.000Z

451

Ship trail/cloud dynamic effects from Apollo-Soyuz photograph July 16, 1975  

SciTech Connect (OSTI)

We describe in this paper the results of a preliminary analysis of a ship trail photograph taken by the Apollo-Soyuz crew at 22:21 GMT on 16 July 1975. The photograph was taken from an altitude of 174 km and shows three separate ship trails with two of the trails intersecting. Because these photographs were taken from a non-geosynchronous satellite with a high-resolution camera, the quality of the photograph provides more detail than is usually obtained from meteorological satellites (minimum spatial resolution 14 m compared to 57 m from Landsat). The photograph not only shows enhanced detail of the ship trails themselves, but also cloud free bands generated by the ship trails. The ship trails have maximum photographed widths of 3--6 km. These cloud free bands are an obvious indication of the importance of ship trail cloud dynamics to ship trial development. These cloud dynamical effects are driven both by the initial energy release of the ship's power plant and by latent heat release from the aerosol nucleation process. Since the aerosol nucleation process is the key to understanding ocean aerosol/cloud interactions, it is important to partition these two processes in the ship trial development. We will describe in this paper preliminary numerical modeling efforts to simulate the ship trails using only the energy release from the ship and thereby give an indication of how much more energy input may be required from the nucleation process. 12 refs., 6 figs.

Porch, W.M.; Kao, Chih-yue J.; Kyle, T.G.; Kelley, R.G. Jr.

1988-01-01T23:59:59.000Z

452

ARM - Measurement - Cloud optical depth  

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

optical depth optical depth ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud optical depth Amount of light cloud droplets or ice particles prevent from passing through a column of atmosphere. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments GOES : Geostationary Operational Environmental Satellites Field Campaign Instruments EC-CONVAIR580-BULK : Environment Canada Convair 580 Bulk Parameters GOES : Geostationary Operational Environmental Satellites

453

Changes in Food Web Structure Alter Trends of Mercury Uptake at Two Seabird Colonies in the Canadian Arctic  

Science Journals Connector (OSTI)

Changes in Food Web Structure Alter Trends of Mercury Uptake at Two Seabird Colonies in the Canadian Arctic ... Publication Date (Web): November 4, 2014 ... Arctic ecosystems are changing in response to climate change and some Arctic food web structures are being affected in ways which may have potential consequences for the biomagnification of environmental contaminants. ...

Birgit M. Braune; Anthony J. Gaston; Keith A. Hobson; H. Grant Gilchrist; Mark L. Mallory

2014-11-04T23:59:59.000Z

454

ARM - Field Campaign - Spring Cloud IOP  

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

govCampaignsSpring Cloud IOP govCampaignsSpring Cloud IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Spring Cloud IOP 2000.03.01 - 2000.03.26 Lead Scientist : Gerald Mace For data sets, see below. Summary The Atmospheric Radiation Measurement (ARM) Program conducted a Cloud Intensive Operational Period (IOP) in March 2000 that was the first-ever effort to document the 3-dimensional cloud field from observational data. Prior numerical studies of solar radiation propagation through the atmosphere in the presence of clouds have been limited by the necessity to use theoretical representations of clouds. Three-dimensional representations of actual clouds and their microphysical properties, such as the distribution of ice and water, had previously not been possible

455

Ground-based Microwave Cloud Tomography  

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

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

456

Widget:LogoCloud | Open Energy Information  

Open Energy Info (EERE)

Widget Edit History Facebook icon Twitter icon Widget:LogoCloud Jump to: navigation, search This widget adds css selectors and javascript for the Template:LogoCloud. For...

457

Multiscale Models for Cumulus Cloud Dynamics  

Science Journals Connector (OSTI)

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

Samuel N. Stechmann; Bjorn Stevens

2010-10-01T23:59:59.000Z

458

Template:LogoCloud | Open Energy Information  

Open Energy Info (EERE)

TODO: Would be nice if logos could be vertically centered within each line of the cloud TODO: Provide a way to toggle the mouse-over behavior Usage For rendering a cloud of logos....

459

IBM research division cloud computing initiative  

Science Journals Connector (OSTI)

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

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

2009-07-01T23:59:59.000Z

460

Disruptive technology business models in cloud computing  

E-Print Network [OSTI]

Cloud computing, a term whose origins have been in existence for more than a decade, has come into fruition due to technological capabilities and marketplace demands. Cloud computing can be defined as a scalable and flexible ...

Krikos, Alexis Christopher

2010-01-01T23:59:59.000Z

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


461

Cloud seeding as a technique for studying aerosol-cloud interactions in marine stratocumulus  

E-Print Network [OSTI]

Cloud seeding as a technique for studying aerosol-cloud interactions in marine stratocumulus hygroscopic aerosols were introduced into a solid marine stratocumulus cloud (200 m thick) by burning hygroscopic flares mounted on an aircraft. The cloud microphysical response in two parallel seeding plumes

Miami, University of

462

Cloud Service Security Requirements Questionnaire 1. What Cloud service will you be providing  

E-Print Network [OSTI]

Cloud Service Security Requirements Questionnaire Exhibit G 1. What Cloud service will you) as Low/Moderate/High? If so, which? 4. Has your cloud service been audited by any eternal agencies for security and quality control? If so, please provide evidence. 5. Has your cloud service been industry

463

Cloud Tracking in Cloud-Resolving Models R. S. Plant1  

E-Print Network [OSTI]

Cloud Tracking in Cloud-Resolving Models R. S. Plant1 1 Department of Meteorology, University. INTRODUCTION In recent years Cloud Resolving Models (CRMs) have become an increasingly important tool for CRM data, which allows one to investigate statistical prop- erties of the lifecycles of the "clouds

Plant, Robert

464

HPI Cloud Symposium ,Operating The Cloud` 25.09.2013, Hasso-Plattner-Institut, Auditorium Building  

E-Print Network [OSTI]

Agenda HPI Cloud Symposium ,Operating The Cloud` 25.09.2013, Hasso-Plattner-Institut, Auditorium Building 09:30h Registration 10:00h Opening Prof. Dr. Christoph Meinel, HPI Potsdam 10:30h Cloud-RAID: Eine Methode zur Bereitstellung zuverlässiger Speicherressourcen in �ffentlichen Clouds Maxim Schnajkin, HPI

Weske, Mathias

465

The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise  

E-Print Network [OSTI]

1 The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise Ali Khajeh-Hosseini, David Greenwood, James W. Smith, Ian Sommerville Cloud Computing Co-laboratory, School of Computer Science University of St Andrews, UK {akh, dsg22, jws7, ifs}@cs.st-andrews.ac.uk Abstract Cloud computing

Sommerville, Ian

466

Cloud Verifier: Verifiable Auditing Service for IaaS Clouds Joshua Schiffman  

E-Print Network [OSTI]

Cloud Verifier: Verifiable Auditing Service for IaaS Clouds Joshua Schiffman Security Architecture University Park, PA, USA yus138,hvijay,tjaeger@cse.psu.edu Abstract--Cloud computing has commoditized compute paradigm, its adoption has been stymied by cloud platform's lack of trans- parency, which leaves customers

Jaeger, Trent

467

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

E-Print Network [OSTI]

Cloud radar Doppler spectra in drizzling stratiform clouds: 1. Forward modeling and remote sensing broadening and drizzle growth in shallow liquid clouds remain not well understood. Detailed, cloudscale. Profiling, millimeterwavelength (cloud) radars can provide such observations. In particular, the first three

468

CLOUD COMPUTING AND INFORMATION POLICY 1 Cloud Computing and Information Policy  

E-Print Network [OSTI]

CLOUD COMPUTING AND INFORMATION POLICY 1 Cloud Computing and Information Policy: Computing in a Policy Cloud? Forthcoming in the Journal of Information Technology and Politics, 5(3). Paul T. Jaeger University of Maryland Jimmy Lin University of Maryland Justin M. Grimes University of Maryland #12;CLOUD

Lin, Jimmy

469

Cloud networking and communications Cloud computing is having an important impact on  

E-Print Network [OSTI]

Editorial Cloud networking and communications Cloud computing is having an important impact attention has been devoted to system aspects of Cloud computing. More recently, however, the focus is shifting towards Cloud net- working and communications with evolutionary and revo- lutionary propositions

Boutaba, Raouf

470

Open ocean DMS air/sea fluxes over the eastern South Pacific Ocean  

E-Print Network [OSTI]

over the North Pacific Ocean, J. Geophys. Res. - Atmos. ,air/sea fluxes over S. Pacific Ocean References Asher, W.in the equa- torial Pacific Ocean ( 1982 to 1996): Evidence

Marandino, C. A; De Bruyn, W. J; Miller, S. D; Saltzman, E. S

2009-01-01T23:59:59.000Z

471

Securely Managing Cryptographic Keys used within a Cloud Environment  

E-Print Network [OSTI]

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

472

Evaluating Clouds, Aerosols, and their Interactions in Three Global Climate Models using COSP and Satellite Observations  

SciTech Connect (OSTI)

Accurately representing aerosol-cloud interactions in global climate models is challenging. As parameterizations evolve, it is important to evaluate their performance with appropriate use of observations. In this work we compare aerosols, clouds, and their interactions in three climate models (AM3, CAM5, ModelE) to MODIS satellite observations. Modeled cloud properties were diagnosed using the CFMIP Observations Simulator Package (COSP). Cloud droplet number concentrations (N) were derived using the same algorithm for both satellite-simulated model values and observations. We find that aerosol optical depth tau simulated by models is similar to observations. For N, AM3 and CAM5 capture the observed spatial pattern of higher values in near-coast versus remote ocean regions, though modeled values in general are higher than observed. In contrast, ModelE simulates lower N in most near-coast versus remote regions. Aerosol- cloud interactions were computed as the sensitivity of N to tau for marine liquid clouds off the coasts of South Africa and Eastern Asia where aerosol pollution varies in time. AM3 and CAM5 are in most cases more sensitive than observations, while the sensitivity for ModelE is statistically insignificant. This widely used sensitivity could be subject to misinterpretation due to the confounding influence of meteorology on both aerosols and clouds. A simple framework for assessing the N – tau sensitivity at constant meteorology illustrates that observed sensitivity can change from positive to statistically insignificant when including the confounding influence of relative humidity. Satellite simulated values of N were compared to standard model output and found to be higher with a bias of 83 cm-3.

Ban-Weiss, George; Jin, Ling; Bauer, S.; Bennartz, Ralph; Liu, Xiaohong; Zhang, Kai; Ming, Yi; Guo, Huan; Jiang, Jonathan

2014-09-23T23:59:59.000Z

473

Arctic sea ice declined rapidly to unprec-edented low extents in the summer of 2007,  

E-Print Network [OSTI]

cooling, ice extent remains far below normal. Understanding Sea Ice Loss Key factors behind this recordArctic sea ice declined rapidly to unprec- edented low extents in the summer of 2007, raising concern that the Arctic may be on the verge of a fundamental transition toward a seasonal ice cover

Clements, Craig

474

NOAA Atlas NESDIS 58 CLIMATIC ATLAS OF THE ARCTIC SEAS 2004  

E-Print Network [OSTI]

NOAA Atlas NESDIS 58 CLIMATIC ATLAS OF THE ARCTIC SEAS 2004: Part I. Database of the Barents, Kara and Information Series, Volume 9 NOAA Atlas NESDIS 58 CLIMATIC ATLAS OF THE ARCTIC SEAS 2004: Part I. Database. INTRODUCTION................................................................................. 33 2. HISTORY

475

The Atmospheric Response to Realistic Reduced Summer Arctic Sea Ice Anomalies  

E-Print Network [OSTI]

for the continued ice melt [Polyakov et al., 2005], and recent work shows that heat from the Atlantic layer can91 The Atmospheric Response to Realistic Reduced Summer Arctic Sea Ice Anomalies Uma S. Bhatt,1 and Robert A. Tomas3 The impact of reduced Arctic summer sea ice on the atmosphere is investigated by forcing

Bhatt, Uma

476

NAO influence on net sea ice production and exchanges in the Arctic region: a numerical study  

E-Print Network [OSTI]

ice cover suppresses the development of thermal insulation during the ice formation processNAO influence on net sea ice production and exchanges in the Arctic region: a numerical study Aixue The variability of net sea ice production and sea ice exchange between the Arctic and its adjacent seas

Hu, Aixue

477

NAO influence on net sea ice production and exchanges in the Arctic region  

E-Print Network [OSTI]

suppresses the development of thermal insulation during the ice formation process. The North AtlanticNAO influence on net sea ice production and exchanges in the Arctic region Aixue Hu National Center of the net sea ice production and the sea ice exchanges between the Arctic and its adjacent seas are studied

Hu, Aixue

478

A model of the threedimensional evolution of Arctic melt ponds on firstyear and multiyear sea ice  

E-Print Network [OSTI]

ice. In the summer the upper layers of sea ice and snow melts producing meltwater that accumulatesA model of the threedimensional evolution of Arctic melt ponds on firstyear and multiyear sea ice F in Arctic melt ponds on the surface of sea ice. An accurate estimate of the fraction of the sea ice surface

Feltham, Daniel

479

Scale Dependence and Localization of the Deformation of Arctic Sea Ice David Marsan  

E-Print Network [OSTI]

, and internal stress gradients, producing spatial gradients in the ice velocity that we refer to as deformationScale Dependence and Localization of the Deformation of Arctic Sea Ice David Marsan Laboratoire de of Arctic sea ice over a 3-day time period is performed for scales of 10 to 1000 km. The deformation field

480

Multiple equilibria and abrupt transitions in Arctic summer sea ice extent  

E-Print Network [OSTI]

, version 3 (CCSM3). The resulting nonlinear equations produce abrupt sea ice transitions resembling thoseMultiple equilibria and abrupt transitions in Arctic summer sea ice extent William J. Merryfield monograph "Arctic Sea Ice Decline", 19 October 2007 Corresponding author address: Dr. William Merryfield

Monahan, Adam Hugh

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


481

Water balance of the Arctic drainage system using GRACE1 gravimetry products2  

E-Print Network [OSTI]

in the Arctic basins (0.49 to 0.8). Then32 changes in land waters storage have been compared to precipitation volume of seawater, it receives 11% of the world's44 freshwater input (Lammers et al., 2001). The Arctic and magnitude of northern river streamflow are51 mostly influenced by winter snow mass storage and its

Paris-Sud XI, Université de

482

Paleoecological evidence for abrupt cold reversals during peak Holocene warmth on Baffin Island, Arctic Canada  

E-Print Network [OSTI]

, Arctic Canada Yarrow Axford a, , Jason P. Briner b , Gifford H. Miller a , Donna R. Francis c a Institute sediments is used to infer temperature changes at a small lake in Arctic Canada through the Holocene. Early). Superimposed over known changes in solar insolation through the Holocene are a number of less understood

Briner, Jason P.

483

Black carbon in Arctic snow and its effect on surface albedo  

E-Print Network [OSTI]

= 1000 µm Typical values of BC in Arctic snow (ppb): Greenland 2-3 Canada 10 Siberia 20-25 #12 = 1000 µm Typical values of BC in Arctic snow (ppb): Greenland 2-3 Canada 10 Siberia 20-25 Snow grain large areas of snow are exposed to significant solar energy (snow albedo is less important in winter

484

6, 93519388, 2006 Aerosol-cloud  

E-Print Network [OSTI]

ACPD 6, 9351­9388, 2006 Aerosol-cloud interaction inferred from MODIS and models G. Myhre et al Chemistry and Physics Discussions Aerosol-cloud interaction inferred from MODIS satellite data and global 6, 9351­9388, 2006 Aerosol-cloud interaction inferred from MODIS and models G. Myhre et al. Title

Paris-Sud XI, Université de

485

Cloud Microphysics Spring 2013 **odd years?**  

E-Print Network [OSTI]

ATS724 Cloud Microphysics (2-0-0) Spring 2013 **odd years?** Prerequisites: ATS620, ATS621; Ph, as the class will involve designing and building a simple cloud microphysical model. Course Description: **Sue and observations of nucleation, mechanisms of cloud droplet-spectra broadening, precipitation particle growth

486

Level Set Implementations on Unstructured Point Cloud  

E-Print Network [OSTI]

Level Set Implementations on Unstructured Point Cloud by HO, Hon Pong A Thesis Submitted;Level Set Implementations on Unstructured Point Cloud by HO, Hon Pong This is to certify that I have implementations on unstructured point cloud 15 3.1 Level set initialization

Duncan, James S.

487

Cloud Security: Issues and Concerns Pierangela Samarati*  

E-Print Network [OSTI]

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

Samarati, Pierangela

488

Cloud Computing: Centralization and Data Sovereignty  

E-Print Network [OSTI]

1 Cloud Computing: Centralization and Data Sovereignty Primavera De Filippi, Smari McCarthy Abstract: Cloud computing can be defined as the provision of computing resources on-demand over and elasticity of costs, problems arise concerning the collection of personal information in the Cloud

Paris-Sud XI, Université de

489

Political risks of hydrocarbon deposit development in the Arctic seas of the Russian Federation  

Science Journals Connector (OSTI)

Nowadays the process of Arctic development has a long-term international cooperation character. Economic and geopolitical interests of both arctic and non-arctic countries meet in the region. Apart from resource development issues, there are problems concerning security, sustainable development and some others issues conditioned by climate and geographical characteristics of the region. Strategic analysis of political risks for the Russian Federation is carried out. The analysis reveals that political risks of hydrocarbon deposits development in the RF arctic seas appear as lack of coordination with arctic countries in solving key regional problems, failure to follow international agreements. Such inconsistency may lead to political risks, which results in strained situation in the region.

Y A Bolsunovskaya; G Yu Boyarko; L M Bolsunovskaya

2014-01-01T23:59:59.000Z

490

OCEAN THERMAL ENERGY CONVERSION: AN OVERALL ENVIRONMENTAL ASSESSMENT  

E-Print Network [OSTI]

1980. Ocean Thermal Energy Conversion Draft ProgrammaticPlan. Ocean Thermal Energy Conversion. U.S. DOE Assistantl OCEAN THERMAL ENERGY CONVERSION: ENVIRONMENTAL ASSESSMENT

Sands, M.Dale

2013-01-01T23:59:59.000Z

491

OCEAN THERMAL ENERGY CONVERSION (OTEC) PROGRAMMATIC ENVIRONMENTAL ANALYSIS  

E-Print Network [OSTI]

of ocean thermal energy conversion technology. U.S. DOE.ocean thermal energy conversion. A preliminary engineeringCompany. Ocean thermal energy conversion mission analysis

Sands, M. D.

2011-01-01T23:59:59.000Z

492

ENVIRONMENTAL ASSESSMENT OCEAN THERMAL ENERGY CONVERSION (OTEC) PILOT PLANTS  

E-Print Network [OSTI]

Commercial ocean thermal energy conversion (OTEC) plants byFifth Ocean Thermal Energy Conversion Conference, February1980. Ocean thermal energy conversion (OTEC) pilot plant

Sullivan, S.M.

2014-01-01T23:59:59.000Z

493

DRAFT. ENVIRONMENTAL ASSESSMENT OCEAN THERMAL ENERGY CONVERSION (OTEC) PILOT PLANTS  

E-Print Network [OSTI]

Commercial ocean thermal energy conversion ( OTEC) plants byfield of ocean thermal energy conversion discharges. I~. L.Sixth Ocean Thermal Energy conversion Conference. June 19-

Sullivan, S.M.

2014-01-01T23:59:59.000Z

494

Electron cloud observations : a retrospective.  

SciTech Connect (OSTI)

A growing number of observations of electron cloud effects (ECEs) have been reported in positron and proton rings. Low-energy, background electrons ubiquitous in high-intensity particle accelerators. Amplification of electron cloud (EC) can occur under certain operating conditions, potentially giving rise to numerous effects that can seriously degrade accelerator performance. EC observations and diagnostics have contributed to a better understanding of ECEs, in particular, details of beam-induced multipacting and cloud saturation effects. Such experimental results can be used to provide realistic limits on key input parameters for modeling efforts and analytical calculations to improve prediction capability. Electron cloud effects are increasingly important phenomena in high luminosity, high brightness, or high intensity machines - Colliders, Storage rings, Damping rings, Heavy ion beams. EC generation and instability modeling increasingly complex and benchmarked against in situ data: {delta}, {delta}{sub 0}, photon reflectivity, and SE energy distributions important. Surface conditioning and use of solenoidal windings in field-free regions are successful cures: will they be enough? What are new observations and how do they contribute to body of work and understanding physics of EC?

Harkay, K.; Accelerator Systems Division (APS)

2004-01-01T23:59:59.000Z

495

Technical Sessions B. E. Manner National Oceanic and Atmospheric Administration  

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

B. E. Manner B. E. Manner National Oceanic and Atmospheric Administration Wave Propagation Laboratory 130ulder, CO 80303 The Atmospheric Radiation Measurement (ARM) pirog ram goals are ambitious, and its schedule is demanding. Many of the instruments, proposed for operations at the first Cloud and Radiation Testbed (CART) site as early alS 1992 represent emerging technology and exist only as :special research prototypes. Therefore, an important preparatory step for ARM was an intensive field project in Colorado in 1991 to assess the suitability of instruments an(j tech- niques for profiling the thermodynamic and kinematic structure of the troposphere and lower stratosphere. The field work was designed to provide ARM with a head start by gathering practical information for the desigln and

496

Separating Cloud Forming Nuclei from Interstitial Aerosol  

SciTech Connect (OSTI)

It has become important to characterize the physicochemical properties of aerosol that have initiated the warm and ice clouds. The data is urgently needed to better represent the aerosol-cloud interaction mechanisms in the climate models. The laboratory and in-situ techniques to separate precisely the aerosol particles that act as cloud condensation nuclei (CCN) and ice nuclei (IN), termed as cloud nuclei (CN) henceforth, have become imperative in studying aerosol effects on clouds and the environment. This review summarizes these techniques, design considerations, associated artifacts and challenges, and briefly discusses the need for improved designs to expand the CN measurement database.

Kulkarni, Gourihar R.

2012-09-12T23:59:59.000Z

497

Environment and the Lifetime of Tropical Deep Convection in a Cloud-Permitting Regional Model Simulation  

SciTech Connect (OSTI)

By applying a cloud tracking algorithm to tropical convective systems simulated by a regional high resolution model, the study documents environmental conditions before and after convective systems are initiated over ocean and land by following them during their lifetime. The comparative roles of various environmental fields in affecting the lifetime of convection are also quantified. The statistics of lifetime, maximum area, propagation speed and direction of the simulated deep convection agrees well with geostationary satellite observations. Over ocean, convective systems enhance surface fluxes through the associated wind gusts as well as cooling and drying of the boundary layer. A significant relationship is found between the mean surface fluxes during their lifetime and the longevity of the systems which in turn is related to the initial intensity of the moist updraft and to a lesser extent upper level shear. Over land, on the other hand, convective activity suppresses surface fluxes through cloud cover and the lifetime of convection is related to the upper level shear during their lifetime and strength of the heat fluxes several hours before the initiation of convection. For systems of equal lifetime, those over land are significantly more intense than those over ocean especially during early stages of their lifetime.

Hagos, Samson M.; Feng, Zhe; McFarlane, Sally A.; Leung, Lai-Yung R.

2013-08-01T23:59:59.000Z

498

Exploiting Virtualization and Cloud Computing in ATLAS  

E-Print Network [OSTI]

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

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

2012-01-01T23:59:59.000Z

499

Ocean - Tools | Data.gov  

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

Tools Tools Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Decision-Support Tools (DSTs): Science and information are fundamental to effective marine planning. Marine planning involves inclusive discussion and analyses of the status and potential uses of 3-dimensional areas of coastal, marine and Great Lakes ecosystems (including the water column) and their potential changes over time. Relevant spatial data and derived interpretive and analytical products (i.e. decision-support tools) help inform all phases of the marine planning process. To date, several decision-support tools have been develop to support marine planning efforts. Marine planners should carefully evaluate which tools best apply to their region or specific issue or project. Below is a list of

500

Arctic melt ponds and bifurcations in the climate system  

E-Print Network [OSTI]

Understanding how sea ice melts is critical to climate projections. In the Arctic, melt ponds that develop on the surface of sea ice floes during the late spring and summer largely determine their albedo $-$ a key parameter in climate modeling. Here we explore the possibility of a simple sea ice climate model passing through a bifurcation point $-$ an irreversible critical threshold as the system warms, by incorporating geometric information about melt pond evolution. This study is based on a nonlinear phase transition model for melt ponds, and bifurcation analysis of a simple climate model with ice - albedo feedback as the key mechanism driving the system to a potential bifurcation point.

Sudakov, Ivan; Golden, Kenneth M

2014-01-01T23:59:59.000Z