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Note: This page contains sample records for the topic "great plains 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

ARM Southern Great Plains  

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

of clouds and aerosols, as well as their interactions, in climate and earth system models. More Information Southern Great Plains Site SGP Fact Sheet Visit the Southern...

2

EVALUATION OF NUMERICAL WEATHER PREDICTION IN MODELING CLOUD-RADIATION INTERACTIONS OVER THE SOUTHERN GREAT PLAINS  

E-Print Network [OSTI]

EVALUATION OF NUMERICAL WEATHER PREDICTION IN MODELING CLOUD- RADIATION INTERACTIONS OVER.bnl.gov ABSTRACT Numerical weather prediction (NWP) is the basis for present-day weather forecasts, and NWP- and satellite- based observations over the Southern Great Plains to evaluate how well cloud

Johnson, Peter D.

3

Southern Great Plains  

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

govSitesSouthern Great Plains govSitesSouthern Great Plains SGP Related Links Facilities and Instruments Central Facility Boundary Facility Extended Facility Intermediate Facility Radiometric Calibration Facility Geographic Information ES&H Guidance Statement Operations Science Field Campaigns Visiting the Site Fact Sheet Images Information for Guest Scientists Contacts Southern Great Plains SGP Central Facility, Lamont, OK 36° 36' 18.0" N, 97° 29' 6.0" W Altitude: 320 meters The Southern Great Plains (SGP) site was the first field measurement site established by DOE's Atmospheric Radiation Measurement (ARM) Program. Scientists are using the information obtained from the SGP to improve cloud and radiative models and parameterizations and, thereby, the performance of atmospheric general circulation models used for climate research.

4

A 3-Year Climatology of Cloud and Radiative Properties Derived from GOES-8 Data Over the Southern Great Plains  

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

3-Year Climatology of Cloud and Radiative Properties 3-Year Climatology of Cloud and Radiative Properties Derived from GOES-8 Data Over the Southern Great Plains M. M. Khaiyer, A. D. Rapp, D. R. Doelling, and M. L. Nordeen Analytical Service and Materials, Inc. Hampton, Virginia P. Minnis, W. L. Smith, Jr., and L. Nguyen Atmospheric Sciences Division National Aeronautics and Space Administration Langley Research Center Hampton, Virginia Introduction While the various instruments maintained at the Atmospheric Radiation Measurement (ARM) Program Southern Great Plains (SGP) Central Facility (CF) provide detailed cloud and radiation measurements for a small area, satellite cloud property retrievals provide a means of examining the large-scale properties of the surrounding region over an extended period of time. Seasonal and inter-annual

5

Simulation of Aerosol-Cloud Interactions in the WRF Model at the Southern Great Plains Site  

E-Print Network [OSTI]

The aerosol direct and indirect effects were investigated for three specific cases during the March 2000 Cloud IOP at the SGP site by using a modified WRF model. The WRF model was previously altered to include a two-moment bulk microphysical scheme...

Vogel, Jonathan 1988-

2012-08-21T23:59:59.000Z

6

A Modeling Study of Irrigation Effects on Surface Fluxes and Land-Air-Cloud Interactions in the Southern Great Plains  

SciTech Connect (OSTI)

In this study, the authors incorporate an operational-like irrigation scheme into the Noah land surface model as part of the Weather Research and Forecasting Model (WRF). A series of simulations, with and without irrigation, is conducted over the Southern Great Plains (SGP) for an extremely dry (2006) and wet (2007) year. The results show that including irrigation reduces model bias in soil moisture and surface latent heat (LH) and sensible heat (SH) fluxes, especially during a dry year. Irrigation adds additional water to the surface, leading to changes in the planetary boundary layer. The increase in soil moisture leads to increases in the surface evapotranspiration and near-surface specific humidity but decreases in the SH and surface temperature. Those changes are local and occur during daytime. There is an irrigation-induced decrease in both the lifting condensation level (ZLCL) and mixed-layer depth. The decrease in ZLCL is larger than the decrease in mixed-layer depth, suggesting an increasing probability of shallow clouds. The simulated changes in precipitation induced by irrigation are highly variable in space, and the average precipitation over the SGP region only slightly increases. A high correlation is found among soil moisture, SH, and ZLCL. Larger values of soil moisture in the irrigated simulation due to irrigation in late spring and summer persist into the early fall, suggesting that irrigation-induced soil memory could last a few weeks to months. The results demonstrate the importance of irrigation parameterization for climate studies and improve the process-level understanding on the role of human activity in modulating landaircloud interactions.

Qian, Yun; Huang, Maoyi; Yang, Ben; Berg, Larry K.

2013-06-13T23:59:59.000Z

7

A Comparison of Multiscale Variations of Decade-long Cloud Fractions from Six Different Platforms over the Southern Great Plains in the United States  

SciTech Connect (OSTI)

This study investigates 1997-2011 observationally based cloud fraction estimates from different platforms over the Southern Great Plains, United States, including three ground-based estimates and three satellite-based estimates at multiple temporal and spatial scales. They are: 1) the Active Remotely Sensed Clouds Locations (ARSCL); 2) the Total Sky Imager (TSI); 3) the Radiative Flux Analysis (RFA); 4) Geostationary Operational Environmental Satellite (GOES); 5) the International Satellite Cloud Climatology Project (ISCCP); and 6) Advanced Very High Resolution Radiometer Pathfinder Atmospheres Extended (PATMOS-x). A substantial disagreement is evident among different estimates, especially for ISCCP and ARSCL with statistically significant larger cloud fractions than the other estimates. For example, ISCCP and ARSCL mean cloud fractions in January are ~21% and 8% larger than the average from all the other estimates, respectively. Three estimates (ISCCP, ARSCL, GOES) exhibit an 8%-10% overall increase in the annually averaged cloud fractions from 1998 to 2009; the other three estimates (TSI, RFA, and PATMOS-x) exhibit no significant tendency of increase in this decade. Monthly cloud fractions from all the estimates exhibit Gaussian-like distributions while the distributions of daily cloud fractions are dependent on spatial scales. Investigations of high-resolution cloud fractions reveal that the differences stem from the inconsistent definitions of cloud fraction. Findings from this study suggest caution when using observationally based cloud fraction estimates for climate studies, highlighting that the consistency in defining cloud fraction between models and observations is crucial for studying the Earths climate.

Wu, Wei; Liu, Yangang; Jensen, Michael; Toto, Tami; Foster, Michael J.; Long, Charles N.

2014-03-27T23:59:59.000Z

8

Great Plains Ethanol | Open Energy Information  

Open Energy Info (EERE)

Great Plains Ethanol Jump to: navigation, search Name: Great Plains Ethanol Place: Chancellor, South Dakota Zip: 57015 Product: Limited liability company owned by its 500 members...

9

Southern Great Plains Newsletter  

SciTech Connect (OSTI)

This months issue contains the following articles: (1) Scientists convene at SGP site for complex convective cloud experiment; (2) VORTEX2 spins down; (3) Sunphotometer supports SPARTICUS (a Sun and Aureole Measurement imaging sunphotometer) campaign and satellite validation studies; and (4) Ceilometer represents first deployment of new ground-based instruments from Recovery Act.

J. Prell

2010-09-01T23:59:59.000Z

10

Validation of Surface Retrieved Cloud Optical Properties with in situ Measurements at the Atmospheric Radiation Measurement Program (ARM) South Great Plains Site  

SciTech Connect (OSTI)

The surface inferred cloud optical properties from a multifilter rotating shadowband radiometer have been validated against the in situ measurements during the second ARM Enhanced Shortwave Experiment (ARESE II) field campaign at the ARM South Great Plains (SGP) site. On the basis of eight effective radius profiles measured by the in situ Forward Spectra Scattering Probe (FSSP), our retrieved cloud effective radii for single-layer warm water clouds agree well with in situ measurements, within 5.5%. The sensitivity study also illustrates that for this case a 13% uncertainty in observed liquid water path (LWP, 20 g/m2) results in 1.5% difference in retrieved cloud optical depth and 12.7% difference in referred cloud effective radius, on average. The uncertainty of the LWP measured by the microwave radiometer (MWR) is the major contributor to the uncertainty of retrieved cloud effective radius. Further, we conclude that the uncertainty of our inferred cloud optical properties is better than 5% for warm water clouds based on a surface closure study, in which cloud optical properties inferred from narrowband irradiances are applied to a shortwave model and the modeled broadband fluxes are compared to a surface pyranometer.

Min, Qilong; Duan, M.; Marchand, Roger T.

2003-09-11T23:59:59.000Z

11

Cloud climatology at the Southern Great Plains and the layer structure, drizzle, and atmospheric modes of continental stratus  

E-Print Network [OSTI]

with other data sets, climate-scale relation- ships between cloud properties and dynamical or micro- physical of cloud layers, an issue that is important in calculating both the radiative and the hydro- logic effects

12

Groundwater in the Great Plains  

E-Print Network [OSTI]

7 The importance of conservation 7 What is Groundwater? The Hydrologic Cycle 8 Groundwater flow patterns 9 Saturated and unsaturated zones 9 Aquifers 10 Sole source aquifers 10 Water wells 12 Groundwater Quality Contamination and pollution, measuring... The High Plains Aquifer 22 Population served by groundwater 23 Competing uses for a limited resource 23 Groundwater declines 24 Contamination and Health Issues Water Testing 26 Regulatory Standards, Treatment Options 27 Table of Contents 3 Public...

Jensen, R.

2003-01-01T23:59:59.000Z

13

WESTERN GREAT PLAINS BIG RIVER FLOODPLAIN extent exaggerated for display  

E-Print Network [OSTI]

WESTERN GREAT PLAINS BIG RIVER FLOODPLAIN G.Kittel extent exaggerated for display CAREX/GRAVEL SHORE SPARSELY VEGETATED ALLIANCE Riverine Gravel Flats Great Plains Sparse Vegetation POPULUS DELTOIDES Southern Plains Herbaceous Vegetation SYMPHORICARPOS OCCIDENTALIS TEMPORARILY FLOODED SHRUBLAND ALLIANCE

14

Failure and Redemption of Multifilter Rotating Shadowband Radiometer (MFRSR)/Normal Incidence Multifilter Radiometer (NIMFR) Cloud Screening: Contrasting Algorithm Performance at Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) and Southern Great Plains (SGP) Sites  

SciTech Connect (OSTI)

Well-known cloud-screening algorithms, which are designed to remove cloud-contaminated aerosol optical depths (AOD) from AOD measurements, have shown great performance at many middle-to-low latitude sites around the world. However, they may occasionally fail under challenging observational conditions, such as when the sun is low (near the horizon) or when optically thin clouds with small spatial inhomogeneity occur. Such conditions have been observed quite frequently at the high-latitude Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) sites. A slightly modified cloud-screening version of the standard algorithm is proposed here with a focus on the ARM-supported Multifilter Rotating Shadowband Radiometer (MFRSR) and Normal Incidence Multifilter Radiometer (NIMFR) data. The modified version uses approximately the same techniques as the standard algorithm, but it additionally examines the magnitude of the slant-path line of sight transmittance and eliminates points when the observed magnitude is below a specified threshold. Substantial improvement of the multi-year (1999-2012) aerosol product (AOD and its Angstrom exponent) is shown for the NSA sites when the modified version is applied. Moreover, this version reproduces the AOD product at the ARM Southern Great Plains (SGP) site, which was originally generated by the standard cloud-screening algorithms. The proposed minor modification is easy to implement and its application to existing and future cloud-screening algorithms can be particularly beneficial for challenging observational conditions.

Kassianov, Evgueni I.; Flynn, Connor J.; Koontz, Annette S.; Sivaraman, Chitra; Barnard, James C.

2013-09-11T23:59:59.000Z

15

Great Plains Institute | Open Energy Information  

Open Energy Info (EERE)

Plains Institute Plains Institute Jump to: navigation, search Name Great Plains Institute Place Minneapolis, Minnesota Zip 55407 Product Works with multiple stakeholders to produce and implement policies, technologies and practices in the areas of energy security and bio-based materials. Coordinates 44.979035°, -93.264929° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.979035,"lon":-93.264929,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

16

Great Plains Wind Farm | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Great Plains Wind Farm Jump to: navigation, search Name Great Plains Wind Farm Facility Great Plains Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Noble Environmental Developer Noble Environmental Location Hansford County TX Coordinates 36.285809°, -101.358662° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":36.285809,"lon":-101.358662,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

17

DROUGHTin the Life, Cultures, and Landscapes of the Great Plains The 40th annual Center for Great Plains  

E-Print Network [OSTI]

DROUGHTin the Life, Cultures, and Landscapes of the Great Plains The 40th annual Center for Great Plains Studies symposium is a collaboration with the National Drought Mitigation Center and the Robert B between states. Drought has shaped how the people of the Great Plains think of themselves and their region

Farritor, Shane

18

Naturener USA LLC formerly Great Plains Wind Energy | Open Energy  

Open Energy Info (EERE)

LLC formerly Great Plains Wind Energy LLC formerly Great Plains Wind Energy Jump to: navigation, search Name Naturener USA, LLC (formerly Great Plains Wind & Energy) Place San Francisco, California Zip 94111 Sector Wind energy Product Developer of a wind farm in Montana, has been sold to Naturener S.A. References Naturener USA, LLC (formerly Great Plains Wind & Energy)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Naturener USA, LLC (formerly Great Plains Wind & Energy) is a company located in San Francisco, California . References ↑ "Naturener USA, LLC (formerly Great Plains Wind & Energy)" Retrieved from "http://en.openei.org/w/index.php?title=Naturener_USA_LLC_formerly_Great_Plains_Wind_Energy&oldid=3491

19

WESTERN GREAT PLAINS RIPARIAN WOODLAND AND SHRUBLAND ECOLOGICAL  

E-Print Network [OSTI]

WESTERN GREAT PLAINS RIPARIAN WOODLAND AND SHRUBLAND ECOLOGICAL SYSTEM ECOLOGICAL INTEGRITY ASSESSMENT Draft of June 29, 2007 Prepared by: Karin Decker Colorado Natural Heritage Program Colorado State

20

WESTERN GREAT PLAINS CLIFF, OUTCROP AND SHALE BARREN ECOLOGICAL SYSTEM  

E-Print Network [OSTI]

WESTERN GREAT PLAINS CLIFF, OUTCROP AND SHALE BARREN ECOLOGICAL SYSTEM ECOLOGICAL INTEGRITY ASSESSMENT Draft of June 29, 2007 Prepared by: Karin Decker Colorado Natural Heritage Program Colorado State

Note: This page contains sample records for the topic "great plains 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

A 25-month database of stratus cloud properties generated from ground-based measurements at the Atmospheric Radiation Measurement Southern Great Plains Site  

SciTech Connect (OSTI)

A 25-month database of the macrophysical, microphysical, and radiative properties of isolated and overcast low-level stratus clouds has been generated using a newly developed parameterization and surface measurements from the Atmospheric Radiation Measurement central facility in Oklahoma. The database (5-min resolution) includes two parts: measurements and retrievals. The former consist of cloud base and top heights, layer-mean temperature, cloud liquid water path, and solar transmission ratio measured by a ground-based lidar/ceilometer and radar pair, radiosondes, a microwave radiometer, and a standard Eppley precision spectral pyranometer, respectively. The retrievals include the cloud-droplet effective radius and number concentration and broadband shortwave optical depth and cloud and top-of-atmosphere albedos. Stratus without any overlying mid or high-level clouds occurred most frequently during winter and least often during summer. Mean cloud-layer altitudes and geometric thicknesses were higher and greater, respectively, in summer than in winter. Both quantities are positively correlated with the cloud-layer mean temperature. Mean cloud-droplet effective radii range from 8.1 {mu}m in winter to 9.7 {mu}m during summer, while cloud-droplet number concentrations during winter are nearly twice those in summer. Since cloud liquid water paths are almost the same in both seasons, cloud optical depth is higher during the winter, leading to greater cloud albedos and lower cloud transmittances. (c) 2000 American Geophysical Union.

Dong, Xiquan [Meteorology Department, University of Utah, Salt Lake City (United States)] [Meteorology Department, University of Utah, Salt Lake City (United States); Minnis, Patrick [NASA Langley Research Center, Hampton, Virginia (United States)] [NASA Langley Research Center, Hampton, Virginia (United States); Ackerman, Thomas P. [Pacific Northwest National Laboratory, DOE, Richland, Washington (United States)] [Pacific Northwest National Laboratory, DOE, Richland, Washington (United States); Clothiaux, Eugene E. [Department of Meteorology, Pennsylvania State University, University Park (United States)] [Department of Meteorology, Pennsylvania State University, University Park (United States); Mace, Gerald G. [Meteorology Department, University of Utah, Salt Lake City (United States)] [Meteorology Department, University of Utah, Salt Lake City (United States); Long, Charles N. [Department of Meteorology, Pennsylvania State University, University Park (United States)] [Department of Meteorology, Pennsylvania State University, University Park (United States); Liljegren, James C. [Ames Laboratory, DOE, Ames, Iowa (United States)] [Ames Laboratory, DOE, Ames, Iowa (United States)

2000-02-27T23:59:59.000Z

22

WESTERN GREAT PLAINS SHORTGRASS PRAIRIE extent exaggerated for display  

E-Print Network [OSTI]

of the Western Great Plains, east of the Rocky Mountains and ranges from the Nebraska Panhandle south into Texas primarily on flat to rolling uplands with loamy, ustic soils ranging from sandy to clayey. WESTERN GREAT

23

Drought in the Western Great Plains, 184556  

Science Journals Connector (OSTI)

A sustained mid-nineteenth-century drought in the western Great Plains has been indicated by a tree-ring analysis of trees flanking the western Great Plains, and in tree-ring reconstructions of drought and streamflow for eastern Colorado and the ...

Connie A. Woodhouse; Jeffrey J. Lukas; Peter M. Brown

2002-10-01T23:59:59.000Z

24

Environmental perceptions in Great Plains novels  

E-Print Network [OSTI]

environment, giving emphasis to the notion of a desert east of the Rockies. Saarinen (1966) analyzed farmers' perceptions of the drought hazard on the Plains; and Lewis (1962, 1966, 1967) studied different as- pects of the region' s persistent... environment. The physical environment is given a central role in Plains novels, and characters are shown to be aware of the environment's significance in their lives as they establish farms, ranches, and communities in the "untamed" land. When perceptual...

Pardee, Celeste Frances

1976-01-01T23:59:59.000Z

25

Center for Great Plains Studies University of Nebraska | www.unl.edu/plains | 402-472-3082  

E-Print Network [OSTI]

Center for Great Plains Studies University of Nebraska | www.unl.edu/plains | 402-472-3082 2015 41st Annual Great Plains Studies Symposium with the Nebraska Commission on Indian Affairs A combined effort from the University of Nebraska's Center for Great Plains Studies and the Nebraska Commission

Farritor, Shane

26

Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains  

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

Surface-Based Remote Sensing of the Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains G. Feingold and W. L. Eberhard National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. E. Vernon and M. Previdi Rutgers University New Brunswick, New Jersey Abstract We have demonstrated first measurements of the aerosol indirect effect using ground-based remote sensors at the Southern Great Plains (SGP) site. The response of non-precipitating, ice-free clouds to changes in aerosol loading is quantified in terms of a relative change in cloud-drop effective radius (r e ) for a relative change in aerosol extinction under conditions of equivalent cloud liquid water path (LWP). This is done in a single column of air at a temporal resolution of 20 s (spatial resolution of ~100 m).

27

WESTERN GREAT PLAINS RIPARIAN WOODLAND, SHRUBLAND AND HERBACEOUS extent exaggerated for display  

E-Print Network [OSTI]

WESTERN GREAT PLAINS RIPARIAN WOODLAND, SHRUBLAND AND HERBACEOUS S.Kettler extent exaggerated ALLIANCE Andropogon gerardii - Sorghastrum nutans Western Great Plains Herbaceous Vegetation CAREX Plains Herbaceous Vegetation TYPHA (ANGUSTIFOLIA, LATIFOLIA) - (SCHOENOPLECTUS SPP.) SEMIPERMANENTLY

28

E-Print Network 3.0 - adjacent great plains Sample Search Results  

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

Vegetation Andropogon gerardii - Sorghastrum nutans Western Great Plains... curtipendula Western Great ... Source: Colorado State University, Center for Environmental Management...

29

Jordan cohomology for operator algebras Great Plains Operator Theory Symposium  

E-Print Network [OSTI]

Jordan cohomology for operator algebras Great Plains Operator Theory Symposium Kansas State) Jordan cohomology for operator algebras 1 / 23 #12;Outline · Jordan Derivations · Jordan Weak*-Amenability · Jordan 2-cocycles NOTE: Jordan can mean Jordan algebra or Jordan triple (depending on my fancy) Bernard

Russo, Bernard

30

Great Plains Research 9 (Fall 1999): 277-3 13 Published by the Center for Great Plains Studies  

E-Print Network [OSTI]

Hull Sieg USDA Forest Service, Rocky Mountain Research Station 501 E St. Joseph Street Rapid City, SD 57701 csieg@fs.fed.us Curtis H. Flather USDA Forest Service, Rocky Mountain Research Station 21 et al. 1995). In the Great Plains, the flat topography and nutrient-rich soils make these lands

31

EIS-0408: Upper Great Plains Wind Energy Programmatic EIS  

Broader source: Energy.gov [DOE]

This EIS, being prepared jointly by DOE's Western Area Power Administration and the Department of the Interiors Fish and Wildlife Service, will evaluate the environmental impacts of wind energy development in Iowa, Minnesota, Montana, Nebraska, North Dakota, and South Dakota Westerns Upper Great Plains customer service region. Western will use the EIS to implement a comprehensive regional program to manage interconnection requests for wind energy projects.

32

2015 Great Plains symposium partners with Nebraska Commission on Indian Affairs  

E-Print Network [OSTI]

2015 Great Plains symposium partners with Nebraska Commission on Indian Affairs Contacts: Rick Edwards, Center for Great Plains Studies, 402-472-3082, redwards1@unl.edu Judi M. gaiashkibos, Nebraska for Great Plains Studies is announcing a partnership with the Nebraska Commission on Indian Affairs

Farritor, Shane

33

Title of Document: VARIABILITY OF THE GREAT PLAINS LOW-LEVEL JET: LARGE SCALE  

E-Print Network [OSTI]

ABSTRACT Title of Document: VARIABILITY OF THE GREAT PLAINS LOW-LEVEL JET: LARGE SCALE CIRCULATION Nigam, Department of Atmospheric and Oceanic Science Variability of the Great Plains Low-Level Jet Plains precipitation variability, and together, account for ~75% of the variance. Ocean basin centered

Maryland at College Park, University of

34

EIS-0408: Upper Great Plains Programmatic Wind EIS | Department of Energy  

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

8: Upper Great Plains Programmatic Wind EIS 8: Upper Great Plains Programmatic Wind EIS EIS-0408: Upper Great Plains Programmatic Wind EIS Summary This EIS, being prepared jointly by DOE's Western Area Power Administration and the Department of the Interior's Fish and Wildlife Service, will evaluate the environmental impacts of wind energy development in Iowa, Minnesota, Montana, Nebraska, North Dakota, and South Dakota - Western's Upper Great Plains customer service region. Western will use the EIS to implement a comprehensive regional program to manage interconnection requests for wind energy projects. Public Comment Opportunities None available at this time. Documents Available for Download March 22, 2013 EIS-0408: Draft Programmatic Environmental Impact Statement Upper Great Plains Programmatic Wind EIS

35

GPS Water Vapor Projects Within the ARM Southern Great Plains Region  

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

GPS Water Vapor Projects Within the ARM GPS Water Vapor Projects Within the ARM Southern Great Plains Region J. Braun, T. Van Hove, S. Y. Ha, and C. Rocken GPS Science and Technology Program University Corporation for Atmospheric Research Boulder, Colorado Abstract The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program has a need for an improved capability to measure and characterize the four-dimensional distribution of water vapor within the atmosphere. Applications for this type of data include their use in radiation transfer studies, cloud-resolving and single-column models, and for the establishment of an extended time series of water vapor observations. The University Corporation for Atmospheric Research's (UCAR) GPS Science and Technology (GST) Program is working with ARM to leverage the substantial investment in

36

Surface summertime radiative forcing by shallow cumuli at the Atmospheric Radiation Measurement Southern Great Plains site  

SciTech Connect (OSTI)

Although shallow cumuli are common over large areas of the globe, their impact on the surface radiative forcing has not been carefully evaluated. This study addresses this shortcoming by analyzing data from days with shallow cumuli collected over eight summers (2000-2007) at the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) Climate Research Facility (collectively ACRF) Southern Great Plains site. During periods with clouds, the average shortwave and longwave radiative forcings are 45.5 W m-2 and +11.6 W m-2, respectively. The forcing has been defined so that a negative (positive) forcing indicates a surface cooling (warming). On average, the shortwave forcing is negative, however, instances with positive shortwave forcing are observed approximately 20% of the time. These positive values of shortwave forcing are associated with three-dimensional radiative effects of the clouds. The three-dimensional effects are shown to be largest for intermediate cloud amounts. The magnitude of the three-dimensional effects decreased with averaging time, but it is not negligibly small even for large averaging times as long as four hours.

Berg, Larry K.; Kassianov, Evgueni I.; Long, Charles N.; Mills Jr., David L.

2011-01-08T23:59:59.000Z

37

E-Print Network 3.0 - american great plains Sample Search Results  

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

OKLAHOMA THE ECOLOGY OF THEWESTERN OKLAHOMA Summary: at no great depth. 3. The Cherokee Salt Plain is the largest one in the State, having a roughly circular shape... FIGURE...

38

Drought Recurrence in the Great Plains as Reconstructedfrom Long-Term Tree-Ring Records  

Science Journals Connector (OSTI)

Recently collected tree-ring data were used to reconstruct drought from 1700 to the present in four regionsflanking the Great Plains. Regions were centered in Iowa, Oklahoma, eastern Montana and eastern Wyoming.Reconstructions derived by multiple ...

Charles W. Stockton; David M. Meko

1983-01-01T23:59:59.000Z

39

Cyclogenesis and the low-level jet over the southern Great Plains  

E-Print Network [OSTI]

, the areas of observed low -level cloudiness expand d from the Texas Gulf coast into the southern Great Plains. The effect of LLJ advect1on of low-level wate~ vapor could be seen better throuoh the use of a surface isodrosotherm1c analysis. The locat1on...-Level Jet Over the Southern Great Plains. (December 1980) David Scott Ladwig, B. S. , Oklahoma State University Chairman of Advisory Committee: Dr. Dusan Djuric An investigation of the development of the low-level jet as an integral part of winter...

Ladwig, David Scott

2012-06-07T23:59:59.000Z

40

Water Conservation in Southern Great Plains Wheat Production.  

E-Print Network [OSTI]

time in the fall contributed greatly to the size of grain yields the following year. Where contour tillage and level terracing were used to retain surface runoff water favorable sowing conditions more frequently occurred and the risk of crop failure... that these might he analyzed lation to water consel*vation practice. 51rnificant increases of wheat yield resulted f roin each of the following : liitial soil moisture stores, (2) July rainfall previous to sowing, (3) terracing and contour farming, and (4...

Finnell, H. H. (Henry Howard)

1944-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "great plains 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

The Center for Great Plains Studies is an interdisciplinary, intercollegiate, regional research and teaching program administered in the College of Arts and Sciences at the University of Nebraska-  

E-Print Network [OSTI]

The Center for Great Plains Studies is an interdisciplinary, intercollegiate, regional research Plains. A region with highly variable weather set against grassy, rolling land, the Great Plains as the implications of these relationships for the future. Careers A major or minor in Great Plains Studies may

Logan, David

42

Low-rank coal research: Volume 3, Combustion research: Final report. [Great Plains  

SciTech Connect (OSTI)

Volume III, Combustion Research, contains articles on fluidized bed combustion, advanced processes for low-rank coal slurry production, low-rank coal slurry combustion, heat engine utilization of low-rank coals, and Great Plains Gasification Plant. These articles have been entered individually into EDB and ERA. (LTN)

Mann, M. D.; Hajicek, D. R.; Zobeck, B. J.; Kalmanovitch, D. P.; Potas, T. A.; Maas, D. J.; Malterer, T. J.; DeWall, R. A.; Miller, B. G.; Johnson, M. D.

1987-04-01T23:59:59.000Z

43

DISDROMETER RAIN DROP STATISTICS FOR DARWIN AND THE SOUTHERN GREAT PLAINS SITE  

E-Print Network [OSTI]

DISDROMETER RAIN DROP STATISTICS FOR DARWIN AND THE SOUTHERN GREAT PLAINS SITE M. J. Bartholomew Associates, LLC under Contract No. DE-AC02- 98CH10886 with the U.S. Department of Energy. The publisher-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript

44

Weather pattern climatology of the Great Plains and the related wind regime  

SciTech Connect (OSTI)

The meteorology of the Great Plains can be described as a constant progression of air masses, fronts and cyclonic storm systems. Each of these meteorological conditions can be characterized by identifiable isobaric and related weather parameter patterns. Nine such patterns have been defined to type the weather patterns in the Great Plains. Time series of weather pattern types were produced for 62 stations on the Great Plains. Statistical analyses of these time series produced annual and seasonal frequencies of occurrence of the weather pattern types. Maps of the annual and seasonal frequency of occurrence of weather pattern type are presented for the Great Plains. Persistence and alternation frequencies match what is expected for traveling temperate latitude cyclones, anticyclones and fronts. The wind regime for stations at which the anemometer height and location was constant (and known) for a minimum of three consecutive years was stratified by weather pattern type. Statistical analyses were made to show the response of the wind to the large-scale distribution of air pressure associated with a weather pattern type. The response of the wind to the weather pattern is a site-specific result of the interaction of the large-scale meteorology with local terrain, surface roughness and atmospheric stability. Mean wind speed discriminates between pairs of weather pattern types with better than 75% confidence for more than two-thirds of the possible pairs of weather pattern types.

Barchet, W.R.

1982-11-01T23:59:59.000Z

45

AGRONOMIC ADVANCES IN THE AGRICULTURE OF THE CORN BELT AND THE GREAT PLAINS REGIONS  

Science Journals Connector (OSTI)

...THE AGRICULTURE OF THE CORN BELT AND THE GREAT PLAINS...to conduct the various milling and baking studies using...significant tie-up with the milling interests. In the spring...coopera-tion of the milling interests in the testing...Previous to the placing of corn improvement on a definite...

H. K. WILSON

1944-06-23T23:59:59.000Z

46

FIRE HISTORY AT THE EASTERN GREAT PLAINS MARGIN, MISSOURI RIVER LOESS HILLS  

E-Print Network [OSTI]

FIRE HISTORY AT THE EASTERN GREAT PLAINS MARGIN, MISSOURI RIVER LOESS HILLS Michael C. Stambaugh-Columbia Columbia, MO 65211 stambaughm@missouri.edu and Daniel C. Dey United States Forest Service, North Central Hills of northwest Missouri. We sampled 33 bur oak (Quercus macrocarpa Michx.), chinkapin oak (Q

Stambaugh, Michael C

47

The WRF nested within the CESM: Simulations of a midlatitude cyclone over the Southern Great Plains  

E-Print Network [OSTI]

The WRF nested within the CESM: Simulations of a midlatitude cyclone over the Southern Great Plains system in which the Weather Research and Forecasting model (WRF) is nested within the Community Earth has missed this cyclogenesis, while the nested WRF at 30 km grid spacing (or finer

Ohta, Shigemi

48

The Prairie Naturalist Call for Paper Submissions The Great Plains Natural Science Society, founded in 1967, seeks to promote interest in  

E-Print Network [OSTI]

The Prairie Naturalist Call for Paper Submissions The Great Plains Natural Science Society, founded in 1967, seeks to promote interest in and understanding of natural history in the Great Plains, peer-reviewed journal which deals with the natural history and environment of the Great Plains region

49

Page Charges for Publishing in The Prairie Naturalist If any author is a member of The Great Plains Natural Science Society  

E-Print Network [OSTI]

Page Charges for Publishing in The Prairie Naturalist If any author is a member of The Great Plains are members of The Great Plains Natural Science Society: $120/page Color Charges: Color figures cost $650 reprint o If no authors are members of The Great Plains Natural Science Society $75 regardless

50

Assessment of Time-Series MODIS Data for Cropland Mapping in the U.S. Central Great Plains  

E-Print Network [OSTI]

The goal of this study was to further investigate the potential of MODIS NDVI 250-m data for crop spectral characterization, discrimination, and mapping in the Great Plains of the USA using various exploratory approaches. ...

Masialeti, Iwake

2008-07-23T23:59:59.000Z

51

Vertical Variability of Aerosols and Water Vapor Over the Southern Great Plains  

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

Vertical Variability of Aerosols and Water Vapor Vertical Variability of Aerosols and Water Vapor Over the Southern Great Plains R. A. Ferrare National Aeronautics and Space Administration Langley Research Center Hampton, Virginia D. D. Turner Pacific Northwest National Laboratory Richland, Washington M. Clayton and V. Brackett Science Applications International Corporation National Aeronautics and Space Administration Langley Research Center Hampton, Virginia T. P. Tooman and J. E. M. Goldsmith Sandia National Laboratories Livermore, California J. A. Ogren National Oceanic and Atmospheric Administration Climate Monitoring and Diagnostics Laboratory Boulder, Colorado E. Andrews Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder, Colorado

52

Observed Surface Reflectance Distributions in the Southern Great Plains During ALIVE  

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

Surface Reflectance Distributions Surface Reflectance Distributions in the Southern Great Plains During ALIVE Kirk Knobelspiesse 1 , Brian Cairns 1 , Andrew Lacis 2 , Mikhail Alexandrov 2 , Barbara Carlson 2 and Beat Schmid 3 1 Department of Applied Physics and Applied Mathematics, Columbia University 2 NASA Goddard Institute for Space Studies 3 Pacific Northwest National Laboratory * Surface albedo can be measured from the ground with broadband instruments. * Albedo can be measured from space if the atmospheric effect is removed and many view geometries are available. The measured Bidirectional Reflectance Distribution Function (BRDF) is angularly integrated to compute the albedo. * Studies of the former (Yang, 2006) and the latter (Liang et al. 2005; Wang et al. 2006) do not always agree.

53

Potential Agricultural Uses of Flue Gas Desulfurization Gypsum in the Northern Great Plains  

SciTech Connect (OSTI)

Flue gas desulfurization gypsum (FGDG) is a byproduct from the combustion of coal for electrical energy production. Currently, FGDG is being produced by 15 electrical generating stations in Alabama, Florida, Indiana, Iowa, Kentucky, Ohio, North Carolina, South Carolina, Tennessee, Texas, and Wisconsin. Much of this byproduct is used in the manufacturing of wallboard. The National Network for Use of FGDG in Agriculture was initiated to explore alternative uses of this byproduct. In the northern Great Plains (North Dakota, South Dakota, and Montana), FGDG has the potential to be used as a Ca or S fertilizer, as an acid soil ameliorant, and for reclaiming or mitigating sodium-affected soils. Greater than 1.4 million Mg of FGDG could initially be used in these states for these purposes. Flue gas desulfurization gypsum can be an agriculturally important resource for helping to increase the usefulness of problem soils and to increase crop and rangeland production. Conducting beneficial use audits would increase the public awareness of this product and help identify to coal combustion electrical generating stations the agriculturally beneficial outlets for this byproduct.

DeSutter, T.M.; Cihacek, L.J. [North Dakota State University, Fargo, ND (United States). Department of Soil Science

2009-07-15T23:59:59.000Z

54

Coal in the Northern Rocky Mountains and Great Plains Region -- Clean, compliant, and available  

SciTech Connect (OSTI)

The Northern Rocky Mountains and Great Plains region produced over 340 million short tons of coal in 1997, approximately 30 percent of the nation`s total coal production. Coals from this region are shipped to 26 states in the western, midwest, southern, and eastern US and production is projected to increase to 415 million short tons by 2015; the projected increase will be utilized primarily for production of electric power. The coals are economically attractive because they can be produced by surface mining, and do not require costly beneficiation to be compliant with emission standards. The coals are compliant because their chemical composition was influenced by tectonic settings of the coal basins and provenance of the sediments entering the basins. Tectonics during the Paleocene also influenced rates of precipitation and depositional systems. These factors, in concert, controlled the amount, distribution, and levels of sulfur, ash, and trace elements of environmental concern in the region`s coals. The emphasis of this paper is on the chemistry of these thick, high-quality coals and the geologic controls that resulted in their accumulation.

Stricker, G.D.; Ellis, M.S.; Flores, R.M.; Bader, L.R. [Geological Survey, Denver, CO (United States)

1998-12-31T23:59:59.000Z

55

EVALUATING SHORT-TERM CLIMATE VARIABILITY IN THE LATE HOLOCENE OF THE NORTHERN GREAT PLAINS  

SciTech Connect (OSTI)

This literature study investigated methods and areas to deduce climate change and climate patterns, looking for short-term cycle phenomena and the means to interpret them. Many groups are actively engaged in intensive climate-related research. Ongoing research might be (overly) simplified into three categories: (1) historic data on weather that can be used for trend analysis and modeling; (2) detailed geological, biological (subfossil), and analytical (geochemical, radiocarbon, etc.) studies covering the last 10,000 years (about since last glaciation); and (3) geological, paleontological, and analytical (geochemical, radiometric, etc.) studies over millions of years. Of importance is our ultimate ability to join these various lines of inquiry into an effective means of interpretation. At this point, the process of integration is fraught with methodological troubles and misconceptions about what each group can contribute. This project has met its goals to the extent that it provided an opportunity to study resource materials and consider options for future effort toward the goal of understanding the natural climate variation that has shaped our current civilization. A further outcome of this project is a proposed methodology based on ''climate sections'' that provides spatial and temporal correlation within a region. The method would integrate cultural and climate data to establish the climate history of a region with increasing accuracy with progressive study and scientific advancement (e. g., better integration of regional and global models). The goal of this project is to better understand natural climatic variations in the recent past (last 5000 years). The information generated by this work is intended to provide better context within which to examine global climate change. The ongoing project will help to establish a basis upon which to interpret late Holocene short-term climate variability as evidenced in various studies in the northern Great Plains, northern hemisphere, and elsewhere. Finally these data can be integrated into a history of climate change and predictive climate models. This is not a small undertaking. The goals of researchers and the methods used vary considerably. The primary task of this project was literature research to (1) evaluate existing methodologies used in geologic climate change studies and evidence for short-term cycles produced by these methodologies and (2) evaluate late Holocene climate patterns and their interpretations.

Joseph H. Hartman

1999-09-01T23:59:59.000Z

56

An investigation of dust storm generation in the Southern Great Plains  

E-Print Network [OSTI]

clouds are colder than the ground but warmer than most clouds. A disadvantage of satellite imagery is that not all weather stations have direct read-out capabilities and thus do not have access to the high resolution images. The satellite images sent... clouds are colder than the ground but warmer than most clouds. A disadvantage of satellite imagery is that not all weather stations have direct read-out capabilities and thus do not have access to the high resolution images. The satellite images sent...

Pollard, Marshall Conrad

2012-06-07T23:59:59.000Z

57

Atmospheric Radiation Measurement (ARM) Data from the Southern Great Plains (SGP) Site  

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

The Atmospheric Radiation Measurement (ARM) Program is the largest global change research program supported by the U.S. Department of Energy. The primary goal of the ARM Program is to improve the treatment of cloud and radiation physics in global climate models in order to improve the climate simulation capabilities of these models. To achieve this goal, ARM scientists and researchers around the world use continuous data obtained through the ARM Climate Research Facility. ARM maintains four major, permanent sites for data collection and deploys the ARM Mobile Facility to other sites as determined. Scientists are using the information obtained from the permanent SGP site to improve cloud and radiative models and parameterizations and, thereby, the performance of atmospheric general circulation models used for climate research. More than 30 instrument clusters have been placed around the SGP site. The locations for the instruments were chosen so that the measurements reflect conditions over the typical distribution of land uses within the site. The continuous observations at the SGP site are supplemented by intensive observation periods, when the frequency of measurements is increased and special measurements are added to address specific research questions. During such periods, 2 gigabytes or more of data (two billion bytes) are generated daily. SGP data sets from 1993 to the present reside in the ARM Archive at http://www.archive.arm.gov/ http. Users will need to register for a password, but all files are then free for viewing or downloading. The ARM Archive physically resides at the Oak Ridge National Laboratory.

58

Climatology of the Simulated Great Plains Low-Level Jet and Its Contribution to the Continental Moisture Budget of the United States  

Science Journals Connector (OSTI)

The Great Plains region of the United States is characterized by some of the most frequent and regular occurrences of a nocturnal low-level jet (LLJ). While the LLJ is generally confined to the lowest Kilometer of the atmosphere, it may cover a ...

H. Mark Helfand; Siegfried D. Schubert

1995-04-01T23:59:59.000Z

59

Newsletter Southern Great Plains  

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

moves up and down. The combination of all three vectors most accurately describes a wind speed and direction measurement. More commonly, the wind measurement is made by only...

60

Newsletter Southern Great Plains  

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

It's a - Helicopter? Last week, scientists from across the country met in Ponca City, Oklahoma, to simulate flight and mission planning scenarios in preparation for two...

Note: This page contains sample records for the topic "great plains 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

Newsletter Southern Great Plains  

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

from setting up computers for charitable organizations to judging chili at the Annual Cherokee Strip BBQ & Chili Cook-off. In his spare time, Dan's hobbybusiness is restoring and...

62

Newsletter Southern Great Plains  

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

as he joins the ACRF Operations Team (ARM photo). July 2005 3 Brad brings to ARM a broad background in remote sensing fieldwork, with extensive experience operating sophisticated...

63

Newsletter Southern Great Plains  

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

made at the ERL with its complete set of test equipment. Component replacements (power supplies, motors, wind sensor bearings, circuit boards, fuses, batteries, cables,...

64

Newsletter Southern Great Plains  

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

of sophisticated climate-monitoring instrumentation - over a wide range of challenging conditions - to provide timely, high-quality data over a sustained period of years. This...

65

Newsletter Southern Great Plains  

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

channels. The instrument has azimuth and elevation motors controlled by differential sun sensors that rotate a tracking head to lock onto the solar beam and keep the detectors...

66

Newsletter Southern Great Plains  

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

stratosphere (the atmosphere between 8 and 30 miles above Earth's surface), naturally occurring ozone provides a protective layer that shields Earth from ultraviolet radiation and...

67

Southern Great Plains  

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

produced by the combustion of fossil fuels, black carbon (soot) is produced by incomplete combustion of coal, biomass (wood, field residue, cow dung, etc.), and diesel fuel....

68

Newsletter Southern Great Plains  

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

primary component of natural gas, is the second most important contributor to the greenhouse effect (after carbon dioxide). Natural sources of methane include wetlands, fossil...

69

Southern Great Plains  

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

This positive feedback, along with carbon dioxide, is responsible for the greenhouse effect and operates virtually continuously in the atmosphere. However, water in the...

70

Newsletter Southern Great Plains  

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

WC 35.74 + 0.6215T - 35.75(V 0.16 ) + 0.4275T(V 0.16 ) Where: WC wind chill (F) V wind speed (mph) T temperature (F) Snow kills hundreds of people each year, primarily...

71

Geohydrology of bedrock aquifers in the Northern Great Plains in parts of Montana, North Dakota, South Dakota, and Wyoming  

SciTech Connect (OSTI)

Development of energy-related resources in the northern Great Plains of the US will require large quantities of ground water. Because Montana, North Dakota, and Wyoming are semiarid, the primary local sources of nonappropriated water are the deep bedrock aquifers of Paleozoic and Mesozoic age. The US Geological Survey undertook a 4-year interdisciplinary study that has culminated in a digital-simulation model of the regional flow system and incorporates the results of geochemical, hydrologic, and geologic studies. Rocks of Paleozoic and Mesozoic age form at least five artesian aquifers that are recharged in the mountainous areas of Montana, South Dakota, and Wyoming. The aquifers extend for more than 600 mi to discharge areas in the northeastern part of North Dakota and in Manitoba. In general, the direction of flow in each aquifer is east to northeast, but flow is deflected to the north and south around the Williston basin. Flow through the Williston basin is restricted because of brine (200,000-350,000 mg/l), halite beds, geologic structures, and decreased permeability of rocks in the deeper parts of the basin. Fracture systems and lineaments transverse the entire area and act either as conduits or as barriers to ground-water flow, depending on their hydrogeologic and geochemical history. Vertical leakage from the aquifers is restricted by shale with low permeability, by halite beds, and by stratigraphic traps or low-permeability zones associated with petroleum accumulations. However, interaquifer leakage appears to occur through and along some of the major lineaments and fractures. Interaquifer leakage may be a major consideration in determining the quality of water produced from wells.

Downey, J.S.

1986-01-01T23:59:59.000Z

72

Task 50 - deposition of lignites in the Fort Union Group and related strata of the northern Great Plains  

SciTech Connect (OSTI)

Late Cretaceous, Paleocene, and early Eocene geologic and paleontologic studies were undertaken in western North Dakota, eastern and south-central Montana, and northwestern and northeastern Wyoming. These study areas comprise the Williston, Bighorn, and Powder River Basins, all of which contain significant lignite resources. Research was undertaken in these basins because they have the best geologic sections and fossil record for the development of a chronostratigraphic (time-rock) framework for the correlation of lignite beds and other economic resources. A thorough understanding of the precise geologic age of the deposition of sediments permits a powerful means of interpreting the record of geologic events across the northern Great Plains. Such an understanding allows for rigorous interpretation of paleoenviromnents and estimates of resource potential and quality in this area of economically significant deposits. This work is part of ongoing research to document change in the composition of molluscan fossil faunas to provide a paleoenvironmentally sensitive independent means of interpreting time intervals of brief duration during the Late Cretaceous, Paleocene, and Eocene. This study focuses on the record of mollusks and, to a lesser extent, mammals in the (1) Hell Creek-Tullock Formations, which include the Cretaceous-Paleocene boundary, in the western portion of the Williston Basin, Montana; (2) uppermost Cretaceous, Paleocene, and lowermost Eocene strata in western North Dakota, which -includes the last interior seaway in North Dakota; (3) upper Paleocene and lowermost Eocene of the northern portion of the Bighorn Basin of south-central Montana and northwestern Wyoming; and (4) Powder River Basin of northeastern Wyoming and southeastern Montana. The geologic record provides different physical and paleontological information to aid in interpreting the geologic record through the study interval.

Hartman, J.H.; Roth, B.; Kihm, A.J.

1997-08-11T23:59:59.000Z

73

A numerical soil-water-balance (SWB) model was used to estimate groundwater recharge in the Williston and Powder River structural basins in the Northern Great Plains.  

E-Print Network [OSTI]

in the Williston and Powder River structural basins in the Northern Great Plains. The SWB model consisted of 1 km2 to 2011. Average calculated recharge in the Williston basin was 0.190 in/yr (1,281 ft3 /sec) and ranged.1 percent of precipitation in the Williston basin. Average recharge in the Powder River basin was 0.136 in

Torgersen, Christian

74

Regional CO2 and latent heat surface fluxes in the Southern Great Plains: Measurements, modeling, and scaling  

SciTech Connect (OSTI)

Characterizing net ecosystem exchanges (NEE) of CO{sub 2} and sensible and latent heat fluxes in heterogeneous landscapes is difficult, yet critical given expected changes in climate and land use. We report here a measurement and modeling study designed to improve our understanding of surface to atmosphere gas exchanges under very heterogeneous land cover in the mostly agricultural U.S. Southern Great Plains (SGP). We combined three years of site-level, eddy covariance measurements in several of the dominant land cover types with regional-scale climate data from the distributed Mesonet stations and Next Generation Weather Radar precipitation measurements to calibrate a land surface model of trace gas and energy exchanges (isotope-enabled land surface model (ISOLSM)). Yearly variations in vegetation cover distributions were estimated from Moderate Resolution Imaging Spectroradiometer normalized difference vegetation index and compared to regional and subregional vegetation cover type estimates from the U.S. Department of Agriculture census. We first applied ISOLSM at a 250 m spatial scale to account for vegetation cover type and leaf area variations that occur on hundred meter scales. Because of computational constraints, we developed a subsampling scheme within 10 km 'macrocells' to perform these high-resolution simulations. We estimate that the Atmospheric Radiation Measurement Climate Research Facility SGP region net CO{sub 2} exchange with the local atmosphere was -240, -340, and -270 gC m{sup -2} yr{sup -1} (positive toward the atmosphere) in 2003, 2004, and 2005, respectively, with large seasonal variations. We also performed simulations using two scaling approaches at resolutions of 10, 30, 60, and 90 km. The scaling approach applied in current land surface models led to regional NEE biases of up to 50 and 20% in weekly and annual estimates, respectively. An important factor in causing these biases was the complex leaf area index (LAI) distribution within cover types. Biases in predicted weekly average regional latent heat fluxes were smaller than for NEE, but larger than for either ecosystem respiration or assimilation alone. However, spatial and diurnal variations of hundreds of W m{sup -2} in latent heat fluxes were common. We conclude that, in this heterogeneous system, characterizing vegetation cover type and LAI at the scale of spatial variation are necessary for accurate estimates of bottom-up, regional NEE and surface energy fluxes.

Riley, W. J.; Biraud, S.C.; Torn, M.S.; Fischer, M.L.; Billesbach, D.P.; Berry, J.A.

2009-08-15T23:59:59.000Z

75

Land use and land cover change: the effects of woody plant encroachment and prescribed fire on biodiversity and ecosystem carbon dynamics in a southern great plains mixed grass savanna  

E-Print Network [OSTI]

LAND USE AND LAND COVER CHANGE: THE EFFECTS OF WOODY PLANT ENCROACHMENT AND PRESCRIBED FIRE ON BIODIVERSITY AND ECOSYSTEM CARBON DYNAMICS IN A SOUTHERN GREAT PLAINS MIXED GRASS SAVANNA A Dissertation by EMILY BROOKE HOLLISTER Submitted... PLANT ENCROACHMENT AND PRESCRIBED FIRE ON BIODIVERSITY AND ECOSYSTEM CARBON DYNAMICS IN A SOUTHERN GREAT PLAINS MIXED GRASS SAVANNA A Dissertation by EMILY BROOKE HOLLISTER Submitted to the Office of Graduate Studies of Texas A&M University in partial...

Hollister, Emily Brooke

2009-05-15T23:59:59.000Z

76

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

77

Atmospheric State, Cloud Microphysics and Radiative Flux  

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

Atmospheric thermodynamics, cloud properties, radiative fluxes and radiative heating rates for the ARM Southern Great Plains (SGP) site. The data represent a characterization of the physical state of the atmospheric column compiled on a five-minute temporal and 90m vertical grid. Sources for this information include raw measurements, cloud property and radiative retrievals, retrievals and derived variables from other third-party sources, and radiative calculations using the derived quantities.

Mace, Gerald

78

Elements of environmental concern in the 1990 Clean Air Act Amendments: A perspective of Fort Union coals in northern Rocky Mountains and Great Plains region  

SciTech Connect (OSTI)

The elements of environmental concern (EECs) named in the 1990 Clean Air Act Amendments include 12 trace elements consisting of antimony, arsenic, beryllium, cadmium, chromium, cobalt, lead, manganese, mercury, nickel, selenium, and uranium. Although all these trace elements are potentially hazardous, arsenic, mercury, lead, and selenium may be targeted in forthcoming Environmental Protection Agency regulations. Fort Union coals contain all the trace elements named in the Clean Air Act Amendments; however, the presence and amounts of individual trace elements vary from basin to basin. In the Powder River Basin, the major producing Fort Union coals (Wyodak-Anderson and equivalent coal beds, and Rosebud coal bed) contain the lowest (or statistically as low) amounts of EECs of any of the coal producing basins (i.e., Williston, Hanna, and Green River) in the region. In addition, when the arithmetic means of these trace elements in Powder River Basin coals are compared to other regions in the conterminous US, they are lower than those of Cretaceous coals in Colorado Plateau, Tertiary lignites in the Gulf Coast, and Pennsylvanian coals in the Illinois and Appalachian Basins. Thus, elements of environmental concern are generally low in Fort Union coals in the Northern Rocky Mountains and Great Plains region, and particularly low in the Powder River Basin. Projected increase in production of Powder River Basin coals will, therefore, be of greater benefit to the nation than an increase in development and production of coals in other basins.

Stricker, G.D.; Ellis, M.E.; Flores, R.M.; Bader, L.R.

1998-07-01T23:59:59.000Z

79

Elements of environmental concern in the 1990 Clean Air Act amendments: A perspective of Fort Union coals in northern Rocky Mountains and Great Plains region  

SciTech Connect (OSTI)

The elements of environmental concern (EECs) named in the 1990 Clean Air Act Amendments include 12 trace elements consisting of antimony, arsenic, beryllium, cadmium, chromium, cobalt, lead, manganese, mercury, nickel, selenium, and uranium. Although all these trace elements are potentially hazardous, arsenic, mercury, lead, and selenium may be targeted in forthcoming Environmental Protection Agency regulations. Fort Union coals contain all the trace elements named in the Clean Air Act Amendments; however, the presence and amounts of individual trace elements vary from basin to basin. In the Powder River Basin, the major producing Fort Union coals (Wyodak-Anderson and equivalent coal beds, and Rosebud coal bed) contain the lowest (or statistically as low) amounts of EECs of any of the coal producing basins (i.e. Williston, Hanna, and Green River) in the region. In addition, when the arithmetic means of these trace elements in Powder River Basin coals are compared to other regions in the conterminous U.S., they are lower than those of Cretaceous coals in Colorado Plateau, Tertiary lignites in the Gulf Coast, and Pennsylvanian coals in the Illinois and Appalachian Basins. Thus, elements of environmental concern are generally low in Fort Union coals in the Northern Rocky Mountains and Great Plains region, and particularly low in the Powder River Basin. Projected increase in production of Powder River Basin coals will, therefore, be of greater benefit to the nation than an increase in development and production of coals in other basins.

Stricker, G.D.; Ellis, M.E.; Flores, R.M.; Bader, L.R. [Geological Survey, Denver, CO (United States)

1998-04-01T23:59:59.000Z

80

Upper Great Plains Rates information  

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

Rates and Repayment Services Rates and Repayment Services Rates 2010 Firm Power Rate (effective January 1, 2010) Rate Adjustments 2010 Firm Power Rate Adjustment 2009 Firm Power Rate Adjustment IS Rate Adjustments Rate Adjustment Process Rate Orders Signed, December 23, 2009 (16kb pdf) Announcements Firm Electric Service Customer Letter - Preliminary Review of Drought Adder Component, June 27, 2013 (74kb pdf) Customer Letter - Final Notice of Drought Adder Component, October 2, 2013 (68kb pdf) Integrated System (IS) Rates 2014 IS Rates Customer Information Meeting Presentation, October 15, 2013 (611kb pdf) Customer Letter - Notification of 2014 Rates, September 13, 2013 (160kb pdf) 2014 Transmission and Ancillary Services Rate Calculation and 2012 Rate True-up Calculation (4.9mb pdf) 2013 IS Rates

Note: This page contains sample records for the topic "great plains 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

Seasonal and inter-annual variability in 13C composition of ecosystem carbon fluxes in the U.S. Southern Great Plains  

SciTech Connect (OSTI)

The {delta}{sup 13}C signature of terrestrial carbon fluxes ({delta}{sub bio}) provides an important constraint for inverse models of CO{sub 2} sources and sinks, insight into vegetation physiology, C{sub 3} and C{sub 4} vegetation productivity, and ecosystem carbon residence times. From 2002-2009, we measured atmospheric CO{sub 2} concentration and {delta}{sup 13}C-CO{sub 2} at four heights (2 to 60 m) in the U.S. Southern Great Plains (SGP) and computed {delta}{sub bio} weekly. This region has a fine-scale mix of crops (primarily C{sub 3} winter wheat) and C{sub 4} pasture grasses. {delta}{sub bio} had a large and consistent seasonal cycle of 6-8{per_thousand}. Ensemble monthly mean {delta}{sub bio} ranged from -25.8 {+-} 0.4{per_thousand} ({+-}SE) in March to -20.1 {+-} 0.4{per_thousand} in July. Thus, C{sub 3} vegetation contributed about 80% of ecosystem fluxes in winter-spring and 50% in summer-fall. In contrast, prairie-soil {delta}{sub 13}C values were about -15{per_thousand}, indicating that historically the region was dominated by C{sub 4} vegetation and had more positive {delta}{sub bio} values. Based on a land-surface model, isofluxes ({delta}{sub bio} x NEE) in this region have large seasonal amplitude because {delta}{sub bio} and net ecosystem exchange (NEE) covary. Interannual variability in isoflux was driven by variability in NEE. The large seasonal amplitude in {delta}{sub bio} and isoflux imply that carbon inverse analyses require accurate estimates of land cover and temporally resolved {sup 13}CO{sub 2} and CO{sub 2} fluxes.

Torn, M.S.; Biraud, S.; Still, C.J.; Riley, W.J.; Berry, J.A.

2010-09-22T23:59:59.000Z

82

Compilation of data on strippable Fort Union coals in the northern Rocky Mountains and Great Plains region: A CD-ROM presentation  

SciTech Connect (OSTI)

The Fort Union Formation and equivalent formations of Paleocene age in the northern Rocky Mountains and Great Plains region contain 14 strippable coals that yielded more than 30 percent of the 1.03 billion short tons produced in the United States in 1996. These thick, low contaminant, compliant coals, which are utilized by electric power plants in 28 States, are being assessed by the US Geological Survey. The minable coals occur in the Powder River Basin in Wyoming and Montana, Hanna, Carbon and Greater Green River Basins in Wyoming, and Williston Basin in North Dakota. Production during the past 25 years of thick, high quality Fort Union and equivalent coal beds and zones in the region increased from 40 to more than 340 million short tons. The Powder River Basin is projected to produce 416 million short tons of coal in 2015. Major production in the Powder River Basin is from the Wyodak-Anderson, Anderson-Dietz, and Rosebud coal deposits. Producing Fort Union coals in the Williston Basin include the Beulah-Zap, Hagel, and Harmon coal deposits. Producing Fort Union coals in the Greater Green River Basin are in five beds of the Deadman coal zone. Coal production in the Hanna Basin is from eight beds in the Ferris and Hanna Formations. Coals in the Powder River Basin and Williston Basin contain much less sulfur and ash than coals produced in other regions in the conterminous US. When sulfur values are compared as pounds of SO{sub 2} per million Btu (as received basis), Powder River Basin and Williston Basin coals have the lowest amounts of any coals in the conterminous US.

Flores, R.M.; Bader, L.R.; Cavaroc, V.V. [Geological Survey, Denver, CO (United States)] [and others

1998-04-01T23:59:59.000Z

83

Fort Union coals of the northern Rockies and Great Plains: A linchpin toward a new approach to national coal resource assessment  

SciTech Connect (OSTI)

The U.S. Geological Survey recently initiated a 5-year program to assess the Nation`s coal resources, which emphasizes a new approach relating coal quantity and quality. One assessment region includes the northern Rocky Mountains and Great Plains of Wyoming, Montana, and North Dakota, which contains a vast expanse of Paleocene Fort Union coal-bearing rocks that yielded about 30% (>299 million short tons) of the total coal produced (1.03 billion short tons) in the U.S. for 1994. Production is from 14 coal beds/zones (Wyodak-Anderson, Anderson-Dietz, Rosebud, Beulah-Zap, Hagel, Harmon, Ferris Nos. 23, 24, 25, 31, 38, 39, Hanna No. 80, and Deadman seams) mined in the Hanna, Green River, Powder River, and Williston Basins. About 254 million short tons produced from 25 mines are from the Wyodak-Anderson, Anderson-Dietz, and Rosebud coal beds/zones in the Powder River Basin (PRB). These coals are considered as clean and low contaminant compliance coals containing less sulfur and ash (arithmetic mean for sulfur is 0.58% and ash is 7%, as-received basis) than coals produced from other regions in the conterminous U.S. Preliminary elemental analysis of coal samples from the PRB for those hazardous air pollutants (HAPs) named in the Amendments to the 1990 Clean Air Act (including Sb, As, Be, Cd, Cr, Co, Pb, Mn, Hg, Ni, Se, and U), indicates that PRB coals are lower in HAPs contents than other coals from within the region and also other regions in the U.S. Arithmetic means of HAPs contents of these coals are: Sb=0.35, As=3.4, Be=0.6, Cd=0.08, Cr=6.1, Co=1.6, Pb=3.6, Mn=23.5, Hg=0.09, Ni=4.6, Se=0.9, and U=1.1 (in ppm, as-received, and on a whole-coal basis). These coal-quality parameters will be used to delineate coal quantity of the 14 Fort Union coal beds/zones defined in the resource assessment for expanded utilization of coals into the next several decades as controlled by present and future environmental constraints.

Flores, R.M.; Stricker, G.D. [Geological Survey, Denver, CO (United States)

1996-06-01T23:59:59.000Z

84

Surface based remote sensing of aerosol-cloud interactions  

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

Surface based remote sensing of aerosol-cloud interactions Surface based remote sensing of aerosol-cloud interactions Feingold, Graham NOAA/Environmental Technology Laboratory Frisch, Shelby NOAA/Environmental Technology Laboratory Min, Qilong State University of New York at Albany Category: Cloud Properties We will present an analysis of the effect of aerosol on clouds at the Southern Great Plains ARM site. New methods for retrieving cloud droplet effective radius with radar (MMCR), multifilter rotating shadowband radiometer (MFRSR), and microwave radiometer (MWR) will be discussed. Relationships based on adiabatic clouds will be used to constrain retrievals. We will investigate the use of a range of proxies for cloud condensation nuclei, ranging from surface measurements of light scattering and accumulation mode number concentration, to lidar-measured extinction or

85

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

86

Systematic Flights Obtain Long-Term Data Set of Cloud Properties  

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

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

87

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

88

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

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

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

89

Shortwave, Clear-sky Diffuse Irradiance in the 350 to 1050 nm Range: Comparison of Models with RSS Measurements at the Southern Great Plains ARM Site in September/October 2001  

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

Shortwave, Clear-Sky Diffuse Irradiance in the Shortwave, Clear-Sky Diffuse Irradiance in the 350 to 1050 nm Range: Comparison of Models with RSS Measurements at the Southern Great Plains ARM Site in September/October 2001 J. J. Michalsky, P. W. Kiedron, Q.-L. Min, and L. C. Harrison Atmospheric Sciences Research Center State University of New York Albany, New York J. J. Michalsky Surface Radiation Research Branch Air Resources Laboratory National Oceanic and Atmospheric Administration Boulder, Colorado Abstract A rotating shadowband spectroradiometer (RSS) operating in the spectral range between 350 to 1050 nm obtained measurements of direct and diffuse components of spectral irradiance during the first diffuse irradiance IOP in the autumn of 2001. Independent measurements of the primary inputs to spectral

90

ARM - Field Campaign - Ground-based Cloud Tomography Experiment at SGP  

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

govCampaignsGround-based Cloud Tomography Experiment at SGP govCampaignsGround-based Cloud Tomography Experiment at SGP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Ground-based Cloud Tomography Experiment at SGP 2009.05.26 - 2009.07.17 Lead Scientist : Dong Huang For data sets, see below. Description Knowledge of 3D cloud properties is pressingly needed in many research fields. One of the problems encountered when trying to represent 3D cloud fields in numerical models is that the existing techniques cannot provide necessary observations at the required spatial scale and resolution. We tested a new promising technique for measuring 3D cloud microphysical structure, called cloud microwave tomography, at the Southern Great Plains (SGP) site for one month in late April 2009. Five microwave scanning

91

Comparison of POLDER Apparent and Corrected Oxygen Pressure to ARM/MMCR Cloud Boundary Pressures  

SciTech Connect (OSTI)

POLDER (POLarization and Directionality of the Earths Reflectances) cloud oxygen pressures are compared to cloud boundary pressures obtained from the combination of Lidar and Millimeter Wave Cloud Radar ground measurements located at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site. Without ground reflection correction, the apparent pressures are found to be closer to the mean cloud pressure than to the cloud top pressure. Nevertheless, for almost a quarter of our comparison cases the apparent pressure level is found to be below the cloud base level. This problem practically disappears applying a simple correction for the surface reflection effect. The corrected oxygen pressures are then found to be very close (12 hPa on average) to the mean cloud pressure.

Vanbauce, Claudine; Cadet, Bertrand; Marchand, Roger T.

2003-03-06T23:59:59.000Z

92

Anisotropy in Broken Cloud Fields Over Oklahoma from Ladsat Data  

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

Anisotropy in Broken Cloud Fields Over Oklahoma Anisotropy in Broken Cloud Fields Over Oklahoma from Landsat Data L. M. Hinkelman National Institute of Aerospace Hampton, Virginia K. F. Evans University of Colorado Boulder, Colorado Introduction Previously, it was shown (Hinkelman et al. 2002) that anisotropy, or the existence of a preferred direction, in cumulus fields significantly affects solar radiative transfer through these fields. In this poster, we investigate the occurrence of anisotropy in broken cloud fields near the Atmospheric Radiation Measurement (ARM) Program Southern Great Plains (SGP) site imaged by the Landsat 7 enhanced thematic mapper (ETM). Method Sample Landsat scenes of cumuloform clouds with different types of organization over Central Oklahoma, including the ARM Cloud and Radiation Testbed site to the northeast, were obtained from

93

Plains CO  

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

Partnership Partnership Fourth Annual Conference on Carbon Capture & Sequestration Alexandria, Virginia May 2-5, 2005 By Edward N. Steadman Plains CO Plains CO 2 2 Reduction Partnership Reduction Partnership Eagle Operating Inc. Fischer Oil and Gas, Inc. PCOR Partnership Region Nine states and three provinces 1,362,089 square miles Montana North Dakota South Dakota Minnesota Iowa Missouri Nebraska Saskatchewan Alberta Manitoba Wyoming Wisconsin Sedimentary Basins 440,828 square miles 32% of region Coal Fields 292,006 square miles 21% of region Evaluated the Wyodak- Anderson, Ardley, and Fort Union coals CO 2 sequestration capacity estimated to date: >8 billion tons PCOR Partnership Region Geological CO 2 sequestration capacity estimated thus far: >8 billion tons Saline Aquifers

94

ITC Great Plains, LLC | Open Energy Information  

Open Energy Info (EERE)

for 2010 - File1a1 EIA Form 861 Data Utility Id 56526 Utility Location Yes Ownership T NERC SPP Yes RTO SPP Yes Activity Transmission Yes This article is a stub. You can help...

95

About Upper Great Plains Regional Office  

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

that interconnect with Western facilities. To serve these customer needs, we work from 22 duty stations throughout the Region. We keep the power flowing while ensuring...

96

The Great Plains Wind Power Test Facility  

SciTech Connect (OSTI)

This multi-year, multi-faceted project was focused on the continued development of a nationally-recognized facility for the testing, characterization, and improvement of grid-connected wind turbines, integrated wind-water desalination systems, and related educational and outreach topics. The project involved numerous faculty and graduate students from various engineering departments, as well as others from the departments of Geosciences (in particular the Atmospheric Science Group) and Economics. It was organized through the National Wind Institute (NWI), which serves as an intellectual hub for interdisciplinary and transdisciplinary research, commercialization and education related to wind science, wind energy, wind engineering and wind hazard mitigation at Texas Tech University (TTU). Largely executed by an academic based team, the project resulted in approximately 38 peer-reviewed publications, 99 conference presentations, the development/expansion of several experimental facilities, and two provisional patents.

Schroeder, John

2014-01-31T23:59:59.000Z

97

Exploring parameterization for turbulent entrainmentmixing processes in clouds  

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

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

98

ARM - Field Campaign - Cloud LAnd Surface Interaction Campaign (CLASIC)  

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

govCampaignsCloud LAnd Surface Interaction Campaign (CLASIC) govCampaignsCloud LAnd Surface Interaction Campaign (CLASIC) Campaign Links CLASIC Website Related Campaigns CLASIC - SAM Support 2007.06.09, DeVore, SGP CLASIC - 9.4 GHz Phase Array Radar 2007.06.08, Kollias, SGP CLASIC - Southern Great Plains Aerosol Evolution Study (SGPAES) 2007.06.08, Collins, SGP CLASIC - Land Surface 2007.06.01, Jackson, SGP CLASIC - Radiosonde Campaign 2007.06.01, Orr, SGP CLASIC - SGP Particle Phase Experiment 2007.06.01, Martin, SGP CLASIC - Land-Cloud Coupled Data Assimilation System 2007.06.01, Jackson, SGP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Cloud LAnd Surface Interaction Campaign (CLASIC) 2007.06.01 - 2007.06.30 Website : http://acrf-campaign.arm.gov/clasic/ Lead Scientist : Mark Miller

99

W-Band ARM Cloud Radar - Specifications and Design  

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

W-Band ARM Cloud Radar - Specifications and Design W-Band ARM Cloud Radar - Specifications and Design K. B. Widener Pacific Northwest National Laboratory Richland, Washington J. B. Mead ProSensing, Inc. Amherst, Massachusetts Abstract The Atmospheric Radiation Measurement (ARM) Program and ProSensing, Inc. have teamed to develop and deploy the W-band ARM Cloud Radar (WACR) at the SGP central facility. The WACR will be co- located with the ARM millimeter wave cloud radar (MMCR) with planned operation to begin in early 2005. This radar will complement the measurements of the MMCR and will aid in filtering out insect contamination in the data. In this poster we present the design goals, expected performance characteristics, and the detailed design for the WACR. Introduction The MMCR has been operating at the Southern Great Plains (SGP) site since 1998. It has proven to be

100

ARM - Field Campaign - IR Cloud Camera Feasibility Study  

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

govCampaignsIR Cloud Camera Feasibility Study govCampaignsIR Cloud Camera Feasibility Study Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : IR Cloud Camera Feasibility Study 2010.12.06 - 2010.12.13 Lead Scientist : Kyle Leesman For data sets, see below. Description During December 2010, a prototype LWIR cloud camera system was deployed at the Southern Great Plains Guest Instrument Facility (SGP-GIF). The system consisted of a microbolometer camera (~7-15 ìm) to capture sky imagery, a blackbody calibration source, and a GPS receiver used to estimate atmospheric column water vapor and constrain atmospheric compensation. The camera system collected calibrated sky radiance images co-incident with the SGP Central Facility with the goal of quantitatively assessing its ability

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101

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

102

An Assessment of MultiAngle Imaging SpectroRadiometer (MISR) Stereo-Derived Cloud Top Heights and cloud top winds using ground-based radar, lidar, and microwave radiometers  

SciTech Connect (OSTI)

Clouds are of tremendous importance to climate because of their direct radiative effects and because of their role in atmospheric dynamics and the hydrological cycle. The value of satellite imagery in monitoring cloud properties on a global basis can hardly be understated. One cloud property that satellites are in an advantageous position to monitor is cloud top height. Cloud top height retrievals are especially important for MISR because the derived height field is used to co-register the measured radiances. In this presentation we show the results of an ongoing comparison between ground-based millimeter-wave cloud radar and lidar measurements of cloud top and MISR stereo-derived cloud top height. This comparison is based on data from three radar systems located in the U.S Southern Great Plains (Lamont, Oklahoma), the Tropical Western Pacific (Nauru Island) and the North Slope of Alaska (Barrow, Alaska). These radars are operated as part of the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program. The MISR stereo height algorithm is performing largely as expected for most optically thick clouds. As with many satellite retrievals, the stereo-height retrieval has difficulty with optically thin clouds or ice clouds with little optical contrast near cloud top.

Marchand, Roger T.; Ackerman, Thomas P.; Moroney, C.

2007-03-17T23:59:59.000Z

103

Empirical relationship between entrainment rate and microphysics in cumulus clouds  

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

Empirical Empirical relationship between entrainment rate and microphysics in cumulus clouds Chunsong Lu, 1,2 Shengjie Niu, 1 Yangang Liu, 2 and Andrew M. Vogelmann 2 Received 16 March 2013; accepted 3 April 2013; published 22 May 2013. [1] The relationships between fractional entrainment rate and key microphysical quantities (e.g., liquid water content, droplet number concentration, volume mean radius, and standard deviation of cloud droplet size distributions) in shallow cumuli are empirically examined using in situ aircraft observations from the Routine Atmospheric Radiation Measurement Aerial Facility Clouds with Low Optical Water Depths Optical Radiative Observations (RACORO) field campaign over the Atmospheric Radiation Measurement Southern Great Plains site. The results show that the microphysical quantities examined generally exhibit strong relationships with

104

Sensitivity of Radiative Fluxes and Heating Rates to Cloud Microphysics  

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

Sensitivity of Radiative Fluxes and Heating Sensitivity of Radiative Fluxes and Heating Rates to Cloud Microphysics S. F. Iacobellis and R. C. J. Somerville Scripps Institution of Oceanography University of California, San Diego La Jolla, California G. M. McFarquhar University of Illinois at Urbana-Champaign Urbana, Illinois D. L. Mitchell Desert Research Institute Reno, Nevada Introduction A single-column model (SCM) is used to examine the sensitivity of basic quantities such as atmospheric radiative heating rates and surface and top of atmosphere (TOA) radiative fluxes to various parameter- izations of clouds and cloud microphysics. The SCM was run at the Atmospheric Radiation Measurement (ARM) Program's Southern Great Plains (SGP), Tropical Western Pacific (TWP), and North Slope of Alaska (NSA) sites using forcing data derived from forecast products. The forecast

105

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

106

Preliminary Flood Plain Characterization Appendix A  

E-Print Network [OSTI]

Appendix A Preliminary Flood Plain Characterization #12;Appendix A Preliminary Flood Plain ................................................................................................................................. 1 1.1 Flood Plain Preliminary Characterization Objectives.......................................................................1 2 Flood Plain Preliminary Characterization Activities

107

FIRE MANAGEMENT PLAN MONTAGUE PLAIN  

E-Print Network [OSTI]

FIRE MANAGEMENT PLAN FOR MONTAGUE PLAIN WILDLIFE MANAGEMENT AREA #12;Fire Management Plan for Montague Plain Wildlife Management Area prepared for Massachusetts Dept. of Fisheries, Wildlife. 2003. Fire Management Plan for Montague Plain Wildlife Management Area. Department of Natural Resources

Schweik, Charles M.

108

SGP Cloud and Land Surface Interaction Campaign (CLASIC): Science and Implementation Plan  

SciTech Connect (OSTI)

The Cloud and Land Surface Interaction Campaign is a field experiment designed to collect a comprehensive data set that can be used to quantify the interactions that occur between the atmosphere, biosphere, land surface, and subsurface. A particular focus will be on how these interactions modulate the abundance and characteristics of small and medium size cumuliform clouds that are generated by local convection. These interactions are not well understood and are responsible for large uncertainties in global climate models, which are used to forecast future climate states. The campaign will be conducted from June 8 to June 30, 2007, at the U.S. Department of Energys Atmospheric Radiation Measurement Climate Research Facility Southern Great Plains site. Data will be collected using eight aircraft equipped with a variety of specialized sensors, four specially instrumented surface sites, and two prototype surface radar systems. The architecture of Cloud and Land Surface Interaction Campaign includes a high-altitude surveillance aircraft and enhanced vertical thermodynamic and wind profile measurements that will characterize the synoptic scale structure of the clouds and the land surface within the Atmospheric Radiation Measurement Climate Research Facility Southern Great Plains site. Mesoscale and microscale structures will be sampled with a variety of aircraft, surface, and radar observations.

MA Miller; R Avissar; LK Berg; SA Edgerton; ML Fischer; T Jackson; B.Kustas; PJ Lamb; GM McFarquhar; Q Min; B Schmid; MS Torn; DD Turner

2007-06-30T23:59:59.000Z

109

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

110

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

E-Print Network [OSTI]

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

111

Production of jet fuels from coal-derived liquids. Volume 7. GPGP jet-fuels production program. Evaluation of technical uncertainties for producing jet fuels from liquid by-products of the Great Plains gasification plant. Interim report, 2 October 1987-30 September 1988  

SciTech Connect (OSTI)

In September 1986, the Fuels Branch of the Aero Propulsion Laboratory at Wright-Patterson Air Force Base, Ohio, began an investigation of the potential of jet-fuel production from the liquid by-product streams produced by the gasification of lignite at the Great Plains Gasification Plant (GPGP) in Beulah, North Dakota. Funding was provided by the Department of Energy (DOE) Pittsburgh Energy Technology Center (PETC) to administer the experimental portion of this effort. This document reports the results of the effort by Burns and Roe Services Corporation/Science Applications International Corporation (BRSC/SAIC) to analyze GPGP operations and develop correlations for the liquid by-products and plant operating factors such as coal feed rate and coal characteristics.

Fraser, M.D.; Rossi, R.J.; Wan, E.I.

1989-01-01T23:59:59.000Z

112

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

SciTech Connect (OSTI)

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

Krueger, Steven K.

2008-03-03T23:59:59.000Z

113

SGP Cloud and Land Surface Interaction Campaign (CLASIC): Measurement Platforms  

SciTech Connect (OSTI)

The Cloud and Land Surface Interaction Campaign (CLASIC) will be conducted from June 8 to June 30, 2007, at the U.S. Department of Energys Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) Southern Great Plains (SGP) site. Data will be collected using eight aircraft equipped with a variety of specialized sensors, four specially instrumented surface sites, and two prototype surface radar systems. The architecture of CLASIC includes a high-altitude surveillance aircraft and enhanced vertical thermodynamic and wind profile measurements that will characterize the synoptic scale structure of the clouds and the land surface within the ACRF SGP site. Mesoscale and microscale structures will be sampled with a variety of aircraft, surface, and radar observations. An overview of the measurement platforms that will be used during the CLASIC are described in this report. The coordination of measurements, especially as it relates to aircraft flight plans, will be discussed in the CLASIC Implementation Plan.

MA Miller; R Avissar; LK Berg; SA Edgerton; ML Fischer; TJ Jackson; B. Kustas; PJ Lamb; G McFarquhar; Q Min; B Schmid; MS Torn; DD Tuner

2007-06-01T23:59:59.000Z

114

Plain Language Training Class  

Broader source: Energy.gov [DOE]

Registration link:Click Here to RegisterThe link will bring you to the Plain Writing Powerpedia page, where you can register for the class that works for you. Alternatively, please contact Michael...

115

Plain Language Training Class  

Broader source: Energy.gov [DOE]

Registration link: Click Here to RegisterThe link will bring you to the Plain Writing Powerpedia page, where you can register for the class that works for you. Alternatively, please contact Michael...

116

THE PLAINS CO  

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

THE PLAINS CO 2 REDUCTION PARTNERSHIP THE UNITED S T A T E S 2012 ATLAS CARBON UTILIZATION AND STORAGE The Plains CO 2 Reduction Partnership The Plains CO 2 Reduction (PCOR) Partnership, comprising state agencies; coal, oil and gas, and other private companies; electric utilities; universities; and nonprofit organizations, covers an area of more than 1.4 million square miles in the central interior of North America and includes all or part of nine U.S. states and four Canadian provinces. The PCOR Partnership region has stable geologic basins that are ideal storage targets for CCUS. These basins have been well characterized because of commercial oil and gas activities and have significant CO 2 storage resource. The region's energy industry is evaluating carbon

117

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

118

Performance of the NSSL hail detection algorithm for multicell storms over the Coastal Southern Plains  

E-Print Network [OSTI]

A study of the National Severe Storm Laboratory's (NSSL'S) Hail Detection Algorithm (HDA) has been performed for over 20 different multicell storm systems that occurred over the coastal region of the southern Great Plains. Since the HDA...

Bellue, Kyle Gordon

2012-06-07T23:59:59.000Z

119

Effects of Great Plains Irrigation on Regional Climate  

E-Print Network [OSTI]

convective systems with additional energy and moisture. The increase in atmospheric moisture nearly doubles precipitation accumulations downstream without producing any new precipitation events....

Huber, David B.

2011-08-31T23:59:59.000Z

120

Great Plains Turbulence Environment: Its Origins, Impact, and Simulation  

SciTech Connect (OSTI)

This paper summarizes the known impacts of nocturnal turbulence on wind turbine performance and operations.

Kelley, N. D.; Jonkman, B. J.; Scott, G. N.

2006-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "great plains 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

Great Plains and Midwest Drought Impacts and Outlook  

E-Print Network [OSTI]

in the region. · IA, 6.71in (227%) MI, 5.97in (223%) set new records for wetness. #12;http, MO #12;Lake Ice: Late thaws and ice coming onshore cnn.com · `Ice tsunami' on Mille Lacs Lake, MN.usda.gov/oce/weather/pubs/Weekly/Wwcb/wwcb.pdf Weekly Weather and Crop Bulletin, Vol. 100, No. 20 NOAA/USDA/JAWF #12;Corn Planting Progress in US 2013

Nebraska-Lincoln, University of

122

Computer and Internet Use by Great Plains Farmers  

E-Print Network [OSTI]

of California, Davis. Martin Kenney and W. Richard Goe wouldJ. Morrison Paul, W. Richard Goe, and Martin Kenney WorkingMorrison Paul, W. Richard Goe, and Martin Kenney All Rights

Smith, Aaron; Morrison Paul, Catherine J.; Goe, W. Richard; Kenney, Martin

2004-01-01T23:59:59.000Z

123

EIS-0072: Great Plains Gasification Project, Mercer County, North Dakota  

Broader source: Energy.gov [DOE]

The Office of Fossil Energy prepared this EIS to evaluate the impacts of a project to construct a 125 million cubic feet per day coal gasification facility located in Mercer County, North Dakota. The Office of Fossil Energy adopted three environmental impact evaluation documents prepared by other Federal agencies to develop this EIS.

124

Soil property database: Southern Great Plains 1997 Hydrology Experiment  

E-Print Network [OSTI]

measurement campaigns have been carried out concurrently with large-scale remote sensing hydrologic campaigns surface and the subsurface and the highly nonlinear nature of local-scale water and heat transport head, and unsaturated hydraulic conductivity) and the soil thermal properties (heat capacity, heat

Mohanty, Binayak P.

125

Sinuosity of Alluvial Rivers on the Great Plains  

Science Journals Connector (OSTI)

...of a meandering river to a straight course is fur- nished by the Cimarron River in Southwestern Kansas. Prior to 1914 the Cimmaron in Kansas flowedin a narrow, deep, meandering channel, but during and following a major flood in 1914, the valley was gutted...

126

Heat flow and geothermal studies in the Great Plains  

SciTech Connect (OSTI)

In continental heat flow studies, sedimentary basins are usually avoided because of difficulties in obtaining thermal conductivity measurements and because temperature gradients may contain advective signals caused by moving groundwater. These problems are superimposed in the Denver, Kennedy and Williston Basins where complex geothermal gradients derive both from large contrasts among thermal conductivities of strata and from regional groundwater flow. The occurrence and magnitude of advective heat flow within the Denver, Kennedy and Williston Basins is conceptually consistent with simple models that relate groundwater flow to the piezometric surface and to subsurface structures, i.e., folds and faults. An advective heat flow of +25 mW/m/sup 2/ has been determined for an area in the eastern margin of the Denver Basin, and quantities of +35 mW/m/sup 2/ and +10 MW/m/sup 2/ have been determined respectively for parts of the southeastern and northeastern parts of the Williston Basin. A detailed analysis of bottom hole temperatures obtained from drill holes in the area of the Billings Anticline in the Williston Basin indicates that information on subsurface structures and groundwater flow may be obtained from heat flow studies. Additional information that may be derived from these heat flow studies includes: the occurrence and nature of geothermal resources, oil source rock maturation and secondary migration of petroleum, formation and deposition of strata-bound ores. 43 references.

Gosnold, W.D.; Fischer, D.W.

1985-12-01T23:59:59.000Z

127

Distinctive upper mantle anisotropy beneath the High Lava Plains and Eastern Snake River Plain,  

E-Print Network [OSTI]

Distinctive upper mantle anisotropy beneath the High Lava Plains and Eastern Snake River Plain and continuing with the still- ongoing volcanism in the High Lava Plains (HLP) and eastern Snake River Plain (SRP waves; shear wave splitting; high lava plains; Snake River Plain; Yellowstone. Index Terms: 8137

128

Toward a Diurnal Climatology of Cold-Season Turbulence Statistics in Continental Stratocumulus as Observed by the Atmospheric Radiation Millimeter- Wavelength Cloud Radars  

SciTech Connect (OSTI)

Numerous observational studies of marine stratocumulus have demonstrated a pronounced diurnal cycle. At night, longwave flux divergence at the top of the cloud drives negatively buoyant eddies that tend to keep the boundary layer well mixed. During the day, solar absorption by the cloud tends to reduce the turbulent intensity and often decouples the planetary boundary layer (PBL) into cloud- and sub-cloud circulations. The delicate balance between turbulent intensity, entrainment, and fluxes dictates cloud geometry and persistence, which can significantly impact the shortwave radiation budget. Millimeter-wavelength cloud radars (MMCRs) have been used to study the turbulent structure of boundary layer stratocumulus (e.g. Frisch et al. 1995; Kollias and Albrecht 2000). Analysis is confined to nondrizzling or lightly drizzling cloud systems for which precipitation contamination is negligible. Under such assumptions the Doppler velocity field becomes a proxy for vertical velocity. Prior research has mainly consisted of a few case studies of specific cloud systems using radar scan strategies optimized for this particular cloud type. The MMCR operating at the Southern Great Plains Atmospheric Radiation Measurement Climate Research Facility is broadly configured to be able to detect many different cloud types over a broad range of reflectivities and altitudes, so it is not specifically optimized for PBL clouds. Being in more-or-less continuous operation since the end of 1996, it does, however, have the advantage of long data coverage, which suggests that statistically significant measures of the diurnal cycle of turbulence should be attainable. This abstract summarizes the first few steps toward this goal, using 7 months of cold season MMCR data.

Mechem, D.B.; Kogan, Y.L.; Childers, M.E.; Donner, K.M.

2005-03-18T23:59:59.000Z

129

Western Plains Energy LLC | Open Energy Information  

Open Energy Info (EERE)

Western Plains Energy LLC Jump to: navigation, search Name: Western Plains Energy LLC Place: Oakley, Kansas Zip: 67748 Product: Bioethanol producer using corn as feedstock...

130

Plain Language Compliance Report (2012)  

Broader source: Energy.gov [DOE]

The Department of Energy sees the implementation of the Plain Writing Act as an important initiative that helps the Department share relevant information in a way that is clear, concise, and...

131

Plain Language Training Class 01  

Broader source: Energy.gov [DOE]

Registration link: CHRIS https://mis.doe.gov/ess/index.cfm 002357/0017 and https://powerpedia.energy.gov/wiki/Plain_Writing_Training_Class_October_...Course Type: ClassroomCourse Location:...

132

Plain Language Compliance Report (2014)  

Broader source: Energy.gov [DOE]

The Department of Energy sees the implementation of the Plain Writing Act as an important initiative that helps the Department share relevant information in a way that is clear, concise, and informative.

133

PLAIN LANGUAGE COMPLIANCE REPORT (2013)  

Broader source: Energy.gov [DOE]

The Department of Energy sees the implementation of the Plain Writing Act as an important initiative that helps the Department share relevant information in a way that is clear, concise, and informative.

134

Expanded Plain TEX Steven Smith  

E-Print Network [OSTI]

Expanded Plain TEX Sept 2004 2.8.4 Karl Berry Steven Smith #12;This manual documents the Eplain Berry. Steven Smith wrote the documentation for the commutative diagram macros. (He also wrote

Mintmire, John W.

135

Ground-based All-sky Mid-infrared and Visible Imagery for Purposes of Characterizing Cloud Properties  

SciTech Connect (OSTI)

This paper describes the All Sky Infrared Visible Analyzer (ASIVA), a multi-purpose visible and infrared sky imaging and analysis instrument whose primary functionality is to provide radiometrically calibrated imagery in the mid-infrared (mid-IR) atmospheric window. This functionality enables the determination of diurnal hemispherical cloud fraction (HCF) and estimates of sky/cloud temperature from which one can derive estimates of cloud emissivity and cloud height. This paper describes the calibration methods and performance of the ASIVA instrument with particular emphasis on data products being developed for the meteorological community. Data presented here were collected during a field campaign conducted at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Climate Research Facility from May 21 to July 27, 2009. The purpose of this campaign was to determine the efficacy of IR technology in providing reliable nighttime HCF data. Significant progress has been made in the analysis of the campaign data over the past several years and the ASIVA has proven to be an excellent instrument for determining HCF as well as several other important cloud properties.

Klebe, Dimitri; Blatherwick, R. D.; Morris, Victor R.

2014-02-24T23:59:59.000Z

136

Impact of Alternative Energy Prices, Tenure Arrangements and Irrigation Technologies on a Typical Texas High Plains Farm  

E-Print Network [OSTI]

Irrigation is a major contributing factor in crop production on the Texas High Plains. It is responsible for greatly increasing crop production and farm income for the region. Two factors, a declining groundwater supply and increasing production...

Petty, J. A.; Lacewell, R. D.; Hardin, D. C.; Whitson, R. E.

137

Dryland Winter Wheat and Grain Sorghum Cropping Systems: Northern High Plains of Texas.  

E-Print Network [OSTI]

sorghum and 2,031,000 acres of t~heat were planted on the Northern High Plains of Tes;ic. This area is bounded by the state line on the west, north and east 2nd by the southern boundary of Parmer, Castro, Swisher, Briscoe, Donley and Col- lingcwortli...- v~~estern Great Plains Reqearch Center, Ruchland. The Center, located about 14 miles west of Amarillo, lies in Potter ancl Randall counties. Its location is near the center of the Northern Nigh Plains of Texas. Soils at the Center...

Unger, Paul W.

1972-01-01T23:59:59.000Z

138

Des Plaines Landfill Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Des Plaines Landfill Biomass Facility Jump to: navigation, search Name Des Plaines Landfill Biomass Facility Facility Des Plaines Landfill Sector Biomass Facility Type Landfill Gas...

139

The Des Plaines River -- Part One  

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

One One Nature Bulletin No. 606 May 28, 1960 Forest Preserve District of Cook County Daniel Ryan, President Roberts Mann, Conservation Editor David H. Thompson, Senior Naturalist THE DES PLAINES RIVER -- PART ONE: DESCRIPTION Chicago was incorporated as a village in 1833 and in less than 100 years it had become one of the world's great cities. Four unique natural features have contributed to its phenomenal growth. The first is Lake Michigan. Chicago is strategically located at the south end of it, deep in the heart of the continent and the vast central lowland -- bread-basket of our nation. The lake provides an inexhaustible supply of fresh water and a highway for water-borne commerce. Since the completion of the St. Lawrence Seaway, Chicago has also become a port for ocean going ships.

140

Cloud Computing  

SciTech Connect (OSTI)

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

Pete Beckman and Ian Foster

2009-12-04T23:59:59.000Z

Note: This page contains sample records for the topic "great plains 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

Plain representations of Lie algebras A.A. Baranov  

E-Print Network [OSTI]

Plain representations of Lie algebras A such representations plain (Definition 1.1). Infor* *mally, we show that the theory of plain representations algebras that are of com* *plexity comparable with that of representations of associative algebras. Non-plain

Baranov, Alexander

142

Montagne et plaines: adversaires ou partenaires?  

E-Print Network [OSTI]

Montagne et plaines: adversaires ou partenaires? Exemple du Haut Atlas, Maroc #12;Adresse de leurs bordures. Les hautes terres four- nissent aux plaines et à leurs centres urbains des ressources des montagnes et des plaines sont invités à développer un nouveau partenariat. La présentation du cas

Stoffel, Markus

143

Getting Started with Plain TEX D. R. Wilkins  

E-Print Network [OSTI]

Getting Started with Plain TEX D. R. Wilkins April 18, 1994 Contents 1 Introduction to Plain TEX 2 1.1 What is Plain TEX? . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 A Typical Plain TEX . . . . . . . . . . . . . . . . 4 2 Producing Simple Documents using Plain TEX 6 2.1 Producing Ordinary Text using Plain TEX

144

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?...

145

Regional Implications of Global Climate Change for the Great  

E-Print Network [OSTI]

reliable are they? Future projections of climate change due to global warming What about regional climateRegional Implications of Global Climate Change for the Great Plains Robert J. Oglesby Department Concepts What is climate? What is the difference between weather and climate? What is the difference

Nebraska-Lincoln, University of

146

SINGLE-PHASE LIQUID HEAT TRANSFER IN PLAIN AND ENHANCED MICROCHANNELS Mark E. Steinke  

E-Print Network [OSTI]

SINGLE-PHASE LIQUID HEAT TRANSFER IN PLAIN AND ENHANCED MICROCHANNELS Mark E. Steinke Systems upon the understanding of the fundamental heat transfer processes that occur in these systems. There have been great advancements in our understanding of the heat transfer and fluid flow mechanisms

Kandlikar, Satish

147

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

148

Using Plain Writing at CMS Meeting the Requirements of  

E-Print Network [OSTI]

1 Using Plain Writing at CMS Meeting the Requirements of the Plain Writing Act of 2010 #12;The Plain Writing Act of 2010 All Federal agencies must use plain writing in any document that how to comply with Federal requirements This means we must use plain writing principles in everything

Bandettini, Peter A.

149

Groundwater Nitrogen Source Identification and Remediation in the Texas High Plains and Rolling Plains Regions  

E-Print Network [OSTI]

Groundwater nitroGen source identification and remediation in the texas hiGh plains and rollinG plains reGions Paul Delaune, Bridget R. Scanlon, Robert C. Reedy, Robert C. Schwartz, Louis Baumhardt, Lucas F. Gregory Texas Water Resources... Institute TR-451 September 2013 GROUNDWATER NITROGEN SOURCE IDENTIFICATION AND REMEDIATION IN THE TEXAS HIGH PLAINS AND ROLLING PLAINS REGIONS FINAL REPORT FUNDING PROVIDED BY THE TEXAS STATE SOIL AND WATER CONSERVATION BOARD THROUGH A CLEAN...

Delaune, P.; Scanlon, B.; Reedy, R.; Schwartz, R.; Baumhardt, L.; Gregory, L.

2013-01-01T23:59:59.000Z

150

Advance Funding and Development Agreement: Plains & Eastern Clean...  

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

Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) Advance Funding and Development Agreement: Plains & Eastern Clean...

151

Plains & Eastern Clean Line Project Proposal for New or Upgraded...  

Office of Environmental Management (EM)

Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 Plains & Eastern Clean Line Project...

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

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

155

Plain representations of Lie algebras A.A. Baranov  

E-Print Network [OSTI]

Plain representations of Lie algebras A.A. Baranov Institute of Mathematics, National Academy such representations plain (Definition 1.1). Informally, we show that the theory of plain representations of a given that are of complexity comparable with that of representations of associative algebras. Non-plain representations

Zalesski, Alexandre

156

Plain representations of Lie algebras A.A. Baranov  

E-Print Network [OSTI]

Plain representations of Lie algebras A.A. Baranov Institute of Mathematics, National Academy such representations plain (De#12;nition 1.1). Informally, we show that the theory of plain representations of a given that are of complexity comparable with that of representations of associative algebras. Non-plain representations

Baranov, Alexander

157

High Plains Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Plains Wind Farm Plains Wind Farm Jump to: navigation, search Name High Plains Wind Farm Facility High Plains Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner PacifiCorp Developer PacifiCorp Energy Purchaser PacifiCorp Location Southwest of Rock River WY Coordinates 41.665943°, -106.043487° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.665943,"lon":-106.043487,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

158

Central Plains Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Plains Wind Farm Plains Wind Farm Jump to: navigation, search Name Central Plains Wind Farm Facility Central Plains Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner RES Americas Developer RES Americas Energy Purchaser Westar Energy Location KS Coordinates 38.49695°, -101.128392° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.49695,"lon":-101.128392,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

159

High Plains Tech Center | Open Energy Information  

Open Energy Info (EERE)

Tech Center Tech Center Jump to: navigation, search Name High Plains Tech Center Facility High Plains Tech Center Sector Wind energy Facility Type Small Scale Wind Facility Status In Service Owner High Plains Tech Center Energy Purchaser High Plains Tech Center Location Woodward OK Coordinates 36.40645133°, -99.4282195° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":36.40645133,"lon":-99.4282195,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

160

DCH 1194594 7/10 E 4th Plain Blvd.  

E-Print Network [OSTI]

DCH 1194594 7/10 500 500 14 N 205I-5 E 4th Plain Blvd. E Mill Plain Blvd. NE87thAve Lieser · Take the MILL PLAIN BLVD. exit- EXIT 28 toward Vancouver · Merge onto SE MILL PLAIN BLVD. · Turn RIGHT PLAIN BLVD. · Turn LEFT onto NE 87TH AVENUE · End at 700 NE 87th Ave From I-205 Southbound · Take

Chapman, Michael S.

Note: This page contains sample records for the topic "great plains 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

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

162

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

163

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

164

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

165

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

166

2007 High Plains and Northern Rolling Plains Cotton Harvest-Aid Guide  

E-Print Network [OSTI]

2007 High Plains and Northern Rolling Plains Cotton Harvest-Aid Guide Dr. Randy Boman, Extension Agronomist-Cotton, Texas Cooperative Extension; Dr. Mark Kelley, Extension Program Specialist-Cotton, Texas have adverse effects on both yield and quality of lint and seed. Cotton producers on the Texas High

Mukhtar, Saqib

167

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.

168

Advance Funding and Development Agreement: Plains & Eastern Clean Line  

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

Advance Funding and Development Agreement: Plains & Eastern Clean Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) More Documents & Publications Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 Letter from Deputy Secretary Poneman to Clean Line Energy Regarding the Plains & Eastern Clean Line Project Under Section 1222 of EPAct 2005 (April 5, 2012) 2013 Annual Planning Summary for the Southwestern Area Power Administration

169

Great Lakes NATIONALOCEAN  

E-Print Network [OSTI]

-infrared reflectance, brightness temperatures, cloud masks, and satellite/solar zenith angle data from the NOAA the station or wind vector of interest. FUTURE PLANS Future products derived from new satellite sensors such as synthetic aperture radar (SAR), scatterometer, and ocean color sensors are being develop

170

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

171

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

172

Nitrogen Deposition in the Southern High Plains  

E-Print Network [OSTI]

Nitrogen Deposition in the Southern High Plains Nitrogen is necessary for life on earth, but getting too much of it can be harmful. Recent research in delicate alpine watersheds of the western United States has suggested that the amount... Nitrogen Deposition in the Southern High Plains Conservation of mass: It?s not just a good idea, it?s the law Nitrogen, along with every other element in nature, obeys certain physical laws. The first of those laws, the law of conservation of mass...

Upadhyay, Jeetendra; Auvermann, Brent W.; Bush, K. Jack; Mukhtar, Saqib

2008-02-11T23:59:59.000Z

173

Model-Driven Cloud Data Storage Juan Castrejn1  

E-Print Network [OSTI]

Model-Driven Cloud Data Storage Juan Castrejón1 , Genoveva Vargas-Solar2 , Christine Collet3 of traditional software development me- thods. In particular, data storage management has received a great deal. However, appropriate selection, administration and use of cloud storage implementations remain a highly

Paris-Sud XI, Université de

174

Snake River Plain Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Snake River Plain Geothermal Region Snake River Plain Geothermal Region (Redirected from Snake River Plain) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Snake River Plain Geothermal Region Details Areas (8) Power Plants (1) Projects (2) Techniques (11) Map: {{{Name}}} "The Snake River Plain is a large arcuate structural trough that characterizes the topography of southern Idaho that can be divided into three sections: western, central, and eastern. The western Snake River Plain is a large tectonic graben or rift valley filled with several km of lacustrine (lake) sediments; the sediments are underlain by rhyolite and basalt, and overlain by basalt. The western plain began to form around 11-12 Ma with the eruption of rhyolite lavas and ignimbrites. The western plain is not parallel to North American Plate motion, and lies at a high

175

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

176

Texas High Plains Vegetable & Weed Control Research Program  

E-Print Network [OSTI]

Texas High Plains Vegetable & Weed Control Research Program Research Summary Reports 2008 Texas RESULTS OF HIGH PLAINS TRIALS 8 Herbicides and Weed Control Herbicide screen for mustard and collard for heat tolerance and yield on the Texas High Plains (I) .................. 40 Evaluation of snap bean

Mukhtar, Saqib

177

Single-Cycle Plain-Woven Objects , Ergun Akleman2  

E-Print Network [OSTI]

Single-Cycle Plain-Woven Objects Qing Xing1 , Ergun Akleman2 , Jianer Chen3 , Jonathan L. Gross4 1 helical sense, then the EGRS induces a cyclic plain-weaving on the surface, which consists of cycles that it is always possible to create a single-cycle plain-weaving starting from a mesh on an arbitrary surface

Gross, Jonathan L.

178

Every Nearly Idempotent Plain Algebra Generates a Minimal Variety  

E-Print Network [OSTI]

Every Nearly Idempotent Plain Algebra Generates a Minimal Variety Keith A. Kearnes Fachbereich Mathematik, AG1 Technische Hochschule Darmstadt D 64289 Darmstadt Germany An algebra A is plain transitively on the non-idempotent elements. In [2], ´Agnes Szendrei proves that every idempotent plain algebra

Kearnes, Keith A.

179

PLAINS CO2 REDUCTION PARTNERSHIP  

SciTech Connect (OSTI)

The PCOR Partnership continues to make great progress. Task 2 (Deployment Issues) activities have focused on utilizing Dakota Gasification Company (DGC) experience and data with respect to DGC participation in the enhanced oil recovery project at Weyburn, Saskatchewan. A solid line of communication has been developed with the Interstate Oil & Gas Compact Commission (IOGCC) for the mutual benefit of the PCOR Partnership and IOGCC's complementary efforts. Task 3 (Public Education and Outreach) activities have focused on developing a foundation of background materials in order to avoid a duplication of efforts and provide the best outreach and educational materials possible. Progress in Task 4 (Characterization and Evaluation) has included the development of a database format, the preliminary collection of data regarding CO{sub 2} sources and sinks, and data on the performance and costs for CO{sub 2} separation, capture, treatment, and compression for pipeline transportation. Task 5 (Modeling and Phase II Action Plans) activities have resulted in a conceptual model for screening and qualitatively assessing sequestration options. Task 5 activities have also been useful in structuring data collection and other activities in Tasks 2, 3, and 5.

Thomas A. Erickson

2004-04-01T23:59:59.000Z

180

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.

Note: This page contains sample records for the topic "great plains 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

The Effects of Great Plains Irrigation on the Surface Energy Balance, Regional Circulation, and Precipitation  

E-Print Network [OSTI]

the net radiation at the surface, channeling that energy into additional latent heat flux, which increases convective available potential energy and provides downstream convective systems with additional energy and moisture. Most noteworthy in this study...

Huber, David B.; Brunsell, Nathaniel A.; Mechem, David B.

2014-05-05T23:59:59.000Z

182

Agriculture and the Great Plains: the impact of changes in agricultural policy  

E-Print Network [OSTI]

Due to budget constraints, two policies that will be discussed in the 1995 farm bill debate are the conservation reserve program (CRP) and the target price program. The major objective of this study, therefore, was to evaluate the impacts of policy...

McClaskey, Jackie Marie

1995-01-01T23:59:59.000Z

183

Book Reviews 93 2012 Center for Great Plains Studies, University of NebraskaLincoln  

E-Print Network [OSTI]

of disturbed sites. While alternative or renewable energy sources such as wind, solar, and biofuels appear options and tradeoff scenarios. With over 81% of federal lands already leased for oil and gas development Leasing Act of 1920, with its requirements for managing conflicting multiple uses, limits our ability

Aldridge, Cameron

184

Vegetation Dynamics and Livestock Production on Rangelands in the Southern Great Plains.  

E-Print Network [OSTI]

??We examined vegetation dynamics and livestock production in response to land management practices on rangelands in two different studies, one in north central and one (more)

Cummings, Daniel Chad

2007-01-01T23:59:59.000Z

185

Land surface temperature estimation over the Northern Great Plains using passive microwave data from Nimbus 7  

E-Print Network [OSTI]

for the large areas covered by low resolution satellites, so simplified models are used. Such models represent the soil as a single emitting layer and rely on the dependence of soil dielectric properties to soil moisture content. According to Mo et al. (1980... is inversely related to the intensity of enussion, and as the soil ntoisture decreases the emissivity increases. The dielectric constant also depends on tensperature, but actual calculation of surface emission. by Mo et al. (198D) showed that the dependence...

Lambert, Vicki Michelle

2012-06-07T23:59:59.000Z

186

Climate, Water and Ecosystems Shaping the Great Plains Thursday, October 13  

E-Print Network [OSTI]

of the Lower Platte River Pilot Study 2011: Methods and Initial Results ­ Jason Alexander, U.S. Geological

Nebraska-Lincoln, University of

187

DOE/SC-ARM-14-021 Southern Great Plains Safety Orientation  

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

situation. Severe weather is classified as thunderstorms, tornadoes, heavy rain or snow, flash floods, winter storms, heavy fog, or any other weather condition that may hamper or...

188

Relationships of pocket gophers of the genus Geomys from the Central and Northern Great Plains  

E-Print Network [OSTI]

refertothesecountygroupings:1.Kansas:MortonandStanton. 2.Kansas:Seward.3.Kansas:Gray.4.Kansas:Meade.5.Kansas:Clark.6.Kansas:Comanche,Edwards,andKiowa. 7.Kansas:Barber.8.Kansas:Harper.9.Kansas:Cowley.10.Kansas:Hamilton. 11.Kansas:Kearny.12.Kansas:Fin-ney.13.Kansas:Ford.14...,asdiscussedabove.Specimensexaminedwerehoused inthefollowinginstitutions:AmericanMuseumofNaturalHistory(AMNII) BemidjiStateUniversity(BSU)ChadronStateCollege(CSC)ColoradoStateUniversity(CSU)UniversityofColoradoMuseum(CU) POCKETGOPHERSOFTHEGENUSGEOMYS9 COcCDO CD CDOuO s-.3O CDc 3 T3CDNH O -sCD05O OSe3 ojc '4-Io5>T3 o5...

Heaney, Lawrence R.; Timm, Robert M.

1983-06-01T23:59:59.000Z

189

Convection Initiation along Soil Moisture Boundaries in the Southern Great Plains  

Science Journals Connector (OSTI)

Boundaries between two dissimilar air masses have been shown to be the focus region for convection initiation. One feature that has been shown to create these boundaries, as well as mesoscale circulation patterns conducive for convection, is soil ...

John D. Frye; Thomas L. Mote

2010-04-01T23:59:59.000Z

190

RECONSTRUCTING CLIMATE ON THE GREAT PLAINS FROM BURIED SOILS: A QUANTITATIVE APPROACH  

E-Print Network [OSTI]

that buried soils can provide, this study presents the Buried Soil Reconstruction Model (BuSCR), a method for reconstructing paleoclimate based on properties of buried soils. The model was developed based on a study of modern analogue soils and climate...

Zung, Ashley B.

2013-05-31T23:59:59.000Z

191

Simultaneous Spectral Albedo Measurements Near the Atmospheric Radiation Measurement Southern Great Plains (ARM SGP) Central Facility  

SciTech Connect (OSTI)

In this study, a data analysis is performed to determine the area-averaged, spectral albedo at ARM's SGP central facility site. The spectral albedo is then fed into radiation transfer models to show that the diffuse discrepancy is diminished when the spectral albedo is used (as opposed to using the broadband albedo).

Michalsky, Joseph J.; Min, Qilong; Barnard, James C.; Marchand, Roger T.; Pilewskie, Peter

2003-04-30T23:59:59.000Z

192

Environmental and Pedogenic Change in the Central Great Plains from the Middle Wisconsinan to the Present  

E-Print Network [OSTI]

is about 13-9 kyr old. Vertical scaling varies. 21 Loveland Loess in east-central Kansas. The most remarkable feature of the Loveland Loess is the Sangamon Soil, formed within the upper 1-2 m during MIS 5: the last interglacial (Markewich et... al., 1998). This paleosol typically features a structural and argillic B horizon, carbonate-rich B or C horizons, and yellow-red hues. The GCF is a relatively thin (<4 m), leached loess unit dominated by dark, organic-rich A horizons indicating...

Willey, Karen Lynn

2009-07-30T23:59:59.000Z

193

SPATIAL ECOLOGY OF EASTERN YELLOW-BELLIED RACER (COLUBER CONSTRICTOR FLAVIVENTRIS) AND GREAT PLAINS  

E-Print Network [OSTI]

.4uC) than in grassy habitats (29.8 6 0.3uC). The body temperatures of rat snakes were significantly and fragmentation of tallgrass prairie by human development and agriculture has resulted in declining snake RAT SNAKE (PANTHEROPHIS EMORYI) IN A CONTIGUOUS TALLGRASS-PRAIRIE LANDSCAPE PAGE E. KLUG 1

With, Kimberly A.

194

The Status of the ACRF Millimeter Wave Cloud Radars (MMCRs), the Path Forward for Future MMCR Upgrades, the Concept of 3D Volume Imaging Radar and the UAV Radar  

SciTech Connect (OSTI)

The United States (U.S.) Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) operates millimeter wavelength cloud radars (MMCRs) in several climatological regimes. The MMCRs, are the primary observing tool for quantifying the properties of nearly all radiatively important clouds over the ACRF sites. The first MMCR was installed at the ACRF Southern Great Plains (SGP) site nine years ago and its original design can be traced to the early 90s. Since then, several MMCRs have been deployed at the ACRF sites, while no significant hardware upgrades have been performed. Recently, a two-stage upgrade (first C-40 Digital Signal Processors [DSP]-based, and later the PC-Integrated Radar AcQuisition System [PIRAQ-III] digital receiver) of the MMCR signal-processing units was completed. Our future MMCR related goals are: 1) to have a cloud radar system that continues to have high reliability and uptime and 2) to suggest potential improvements that will address increased sensitivity needs, superior sampling and low cost maintenance of the MMCRs. The Traveling Wave Tube (TWT) technology, the frequency (35-GHz), the radio frequency (RF) layout, antenna, the calibration and radar control procedure and the environmental enclosure of the MMCR remain assets for our ability to detect the profile of hydrometeors at all heights in the troposphere at the ACRF sites.

P Kollias; MA Miller; KB Widener; RT Marchand; TP Ackerman

2005-12-30T23:59:59.000Z

195

WASTE DISPOSITION PROJECT MAKES GREAT STRIDES AT THE IDAHO SITE |  

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

WASTE DISPOSITION PROJECT MAKES GREAT STRIDES AT THE IDAHO SITE WASTE DISPOSITION PROJECT MAKES GREAT STRIDES AT THE IDAHO SITE WASTE DISPOSITION PROJECT MAKES GREAT STRIDES AT THE IDAHO SITE April 1, 2010 - 12:00pm Addthis An operator uses robotic manipulators to process RH TRU. An operator uses robotic manipulators to process RH TRU. Idaho - The Waste Disposition Project Team at the Department of Energy's Idaho Site has continued to keep its commitment to remove remote handled (RH) transuranic (TRU) waste out of Idaho, protecting the Snake River Plain Aquifer and keeping the Office of Environmental Management's commitment to environmental clean up. In 2007, the first shipment of RH TRU waste left the gates of the Idaho Site, headed to the Waste Isolation Pilot Plant (WIPP) for disposal. In the three years since, devoted individuals on the CH2M-WG, Idaho's (CWI)

196

WASTE DISPOSITION PROJECT MAKES GREAT STRIDES AT THE IDAHO SITE |  

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

WASTE DISPOSITION PROJECT MAKES GREAT STRIDES AT THE IDAHO SITE WASTE DISPOSITION PROJECT MAKES GREAT STRIDES AT THE IDAHO SITE WASTE DISPOSITION PROJECT MAKES GREAT STRIDES AT THE IDAHO SITE April 1, 2010 - 12:00pm Addthis An operator uses robotic manipulators to process RH TRU. An operator uses robotic manipulators to process RH TRU. Idaho - The Waste Disposition Project Team at the Department of Energy's Idaho Site has continued to keep its commitment to remove remote handled (RH) transuranic (TRU) waste out of Idaho, protecting the Snake River Plain Aquifer and keeping the Office of Environmental Management's commitment to environmental clean up. In 2007, the first shipment of RH TRU waste left the gates of the Idaho Site, headed to the Waste Isolation Pilot Plant (WIPP) for disposal. In the three years since, devoted individuals on the CH2M-WG, Idaho's (CWI)

197

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...

198

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

199

High Plains Power Inc | Open Energy Information  

Open Energy Info (EERE)

High Plains Power Inc High Plains Power Inc Place Wyoming Utility Id 8566 Utility Location Yes Ownership C NERC Location WECC NERC WECC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png IRRIGATION Industrial LARGE POWER 500kW OR GREATER TIME OF USE Industrial LARGE POWER DISTRIBUTION SUBSTATION GREATER THAN 500kW LEVEL SERVICE Industrial LARGE POWER DISTRIBUTION SUBSTATION LESS THAN 500kW LEVEL SERVICE Industrial LARGE POWER THREE PHASE DISTRIBUTION PRIMARY LEVEL SERVICE Industrial LARGE POWER THREE PHASE DISTRIBUTION PRIMARY LEVEL SERVICE V2 Industrial

200

Retrieval of Aerosol Optical Depth in Vicinity of Broken Clouds from Reflectance Ratios: Case Study  

SciTech Connect (OSTI)

A recently developed reflectance ratio (RR) method for the retrieval of aerosol optical depth (AOD) is evaluated using extensive airborne and ground-based data sets collected during the Cloud and Land Surface Interaction Campaign (CLASIC) and the Cumulus Humilis Aerosol Processing Study (CHAPS), which took place in June 2007 over the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains site. A detailed case study is performed for a field of single-layer shallow cumuli observed on June 12, 2007. The RR method is applied to retrieve the spectral values of AOD from the reflectance ratios measured by the MODIS Airborne Simulator (MAS) for two pairs of wavelengths (660 and 470 nm and 870 and 470 nm) collected at a spatial resolution of 0.05 km. The retrieval is compared with an independent AOD estimate from three ground-based Multi-filter Rotating Shadowband Radiometers (MFRSRs). The interpolation algorithm that is used to project MFRSR point measurements onto the aircraft flight tracks is tested using AOD derived from NASA Langley High Spectral Resolution Lidar (HSRL). The RR AOD estimates are in a good agreement (within 5%) with the MFRSR-derived AOD values for the 660-nm wavelength. The AODs obtained from MAS reflectance ratios overestimate those derived from MFRSR measurements by 15-30% for the 470-nm wavelength and underestimate the 870-nm AOD by the same amount.

Kassianov, Evgueni I.; Ovchinnikov, Mikhail; Berg, Larry K.; McFarlane, Sally A.; Flynn, Connor J.; Ferrare, Richard; Hostetler, Chris A.; Alexandrov, Mikhail

2010-10-06T23:59:59.000Z

Note: This page contains sample records for the topic "great plains 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

Proposed Project: Plains & Eastern Clean Line  

Broader source: Energy.gov [DOE]

On June 10, 2010, the Department of Energy published in the Federal Register a Request for Proposals (RFP) for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act (EPAct) of 2005. In response, Clean Line Energy Partners, LLC submitted an application for its Plains & Eastern Clean Line project. DOE has concluded that Clean Lines proposal was responsive to the RFP, and it is currently under consideration.

202

Great Lakes RESTORATION  

E-Print Network [OSTI]

these focus areas over a five-year period (FY 2010-2014). NOAA Climate Projects Contact Information Heather, and education in the Great Lakes. NOAA's Climate Projects use a three-pronged approach to research climate decisions made as a result. - Monitoring and modeling climate variables to project future climate trends

203

Great Wall Starbucks  

E-Print Network [OSTI]

along the Great Wall. When you think about it, it's not a bad marketing strategy: the Wall is high, the stairs relentless; what better than an espresso to energize you for the steep climb up? On second thought, make that a double. #ceas #china #tsutsui...

Hacker, Randi; Gatewood, Tyler; Tsutsui, William

2006-03-29T23:59:59.000Z

204

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

205

Advance Funding and Development Agreement: Plains & Eastern Clean Line  

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

Advance Funding and Development Agreement: Plains & Eastern Clean Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) More Documents & Publications Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 Letter from Deputy Secretary Poneman to Clean Line Energy Regarding the Plains & Eastern Clean Line Project Under Section 1222 of EPAct 2005 (April 5, 2012) EIS-0486: Notice of Intent and Notice of Potential Floodplain and Wetland

206

Snake River Plain Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Region Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Snake River Plain Geothermal Region Details Areas (8) Power Plants (1) Projects (2) Techniques (11) Map: {{{Name}}} "The Snake River Plain is a large arcuate structural trough that characterizes the topography of southern Idaho that can be divided into three sections: western, central, and eastern. The western Snake River Plain is a large tectonic graben or rift valley filled with several km of lacustrine (lake) sediments; the sediments are underlain by rhyolite and basalt, and overlain by basalt. The western plain began to form around 11-12 Ma with the eruption of rhyolite lavas and ignimbrites. The western plain is not parallel to North American Plate motion, and lies at a high angle to the central and eastern Snake River Plains. Its morphology is

207

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...

208

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...

209

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

210

Notice of Availability of Plains & Eastern Clean Line Transmission...  

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

Notice of Availability of Plains & Eastern Clean Line Transmission Project Draft Environmental Impact Statement and Public Hearings: Federal Register Notice, Volume 79, No. 242 -...

211

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...

212

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...

213

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

214

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

215

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

216

Cotton Production on the Texas High Plains.  

E-Print Network [OSTI]

) knocks down cotton and sorghum stalks and leaves the ground in a roughened condition, which helps control soil blowing. An operator can cover 60 to 75 acres per day with this machine. Compared with the rolling cutter, most power shredders... 6. Cool night; and frequent thunderstorms keep the soil temper- ature too low for satisfactory germination f~r about 1 month after this date. Tests on the High Plains indicate that 30 percent or more of the cottonseed usually corr~e;, up...

Lane, H. C.; Owen, W. L. Jr.; Walker, H. J.; Thaxton, E. L. Jr.; Ray, L. L.; Hudspeth, E. B. Jr.; Jones, D. L.

1956-01-01T23:59:59.000Z

217

Cotton and Manpower - Texas High Plains.  

E-Print Network [OSTI]

on the types, sources and utilization of labor in an area that annually requires large inputs of manpower in the hoeing and chopping and harvest operations. An area of commercial, family-type farms, the High Plains long has been the terminal point for a... mechanization of cotton crop. The barrier is an outgrowth of a tenure system that has not kept pace with farm technology. As a conse- quence, full owners in 1951 machine harvested between 2 and 3 times as large a proportion of their cotton as did tenants...

Ducoff, Louis J.; Metzler, William H.; Motheral, Joe R.

1953-01-01T23:59:59.000Z

218

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

219

Great Lakes Surface Environmental Analysis | Data.gov  

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

Great Lakes Surface Environmental Analysis Great Lakes Surface Environmental Analysis Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Great Lakes Surface Environmental Analysis Dataset Summary Description The Great Lakes Surface Environmental Analysis (GLSEA2) is a digital map of the Great Lakes surface water temperature and ice cover which is produced daily at the NOAA Great Lakes Environmental Research Laboratory (GLERL) in Ann Arbor, Michigan through the NOAA CoastWatch program. The GLSEA is stored as a 1024x1024 pixel map in PNG or ASCII format, suitable for viewing on PCs and workstations with readily available software. The lake surface temperatures are derived from NOAA polar-orbiting satellite imagery obtained through the Great Lakes CoastWatch program. The addition of ice cover information was implemented in early 1999, using data provided by the National Ice Center (NIC). Lake surface temperatures are updated daily with information from the cloud-free portions of the previous day's satellite imagery. If no imagery is available, a smoothing algorithm is applied to the previous day's map. Ice information will then be added, using the most recent Great Lakes Ice Analysis produced by NIC, currently daily during the ice season. GLERL is currently receiving a product suite of an average of 108 enhanced digital images including satellite-derived surface temperature (Fig. 1.1), visible and near-infrared reflectance, brightness temperatures, cloud masks, and satellite/solar zenith angle data from the NOAA/AVHRR (Advanced Very High Resolution Radiometer).

220

Plains CO2 Reduction Partnership PCOR | Open Energy Information  

Open Energy Info (EERE)

CO2 Reduction Partnership PCOR CO2 Reduction Partnership PCOR Jump to: navigation, search Name Plains CO2 Reduction Partnership (PCOR) Place Grand Forks, North Dakota Zip 58202-9018 Product North Dakota-based consortium researching CO2 storage options. PCOR is busy with the ECBM in the Unminable Lignite Research Project. References Plains CO2 Reduction Partnership (PCOR)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Plains CO2 Reduction Partnership (PCOR) is a company located in Grand Forks, North Dakota . References ↑ "Plains CO2 Reduction Partnership (PCOR)" Retrieved from "http://en.openei.org/w/index.php?title=Plains_CO2_Reduction_Partnership_PCOR&oldid=349772"

Note: This page contains sample records for the topic "great plains 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

Proposed Project: Plains & Eastern Clean Line | Department of Energy  

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

Section 1222 of the Energy Policy Act 2005 » Proposed Project: Plains & Section 1222 of the Energy Policy Act 2005 » Proposed Project: Plains & Eastern Clean Line Proposed Project: Plains & Eastern Clean Line On June 10, 2010, the Department of Energy published in the Federal Register a Request for Proposals (RFP) for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act (EPAct) of 2005. In response, Clean Line Energy Partners, LLC submitted an application for its Plains & Eastern Clean Line project. DOE has concluded that Clean Line's proposal was responsive to the RFP, and it is currently under consideration. The proposed Plains & Eastern Clean Line project (the proposed project) would include an overhead +/- 600 kV direct current electric transmission system and associated facilities with the capacity to deliver approximately

222

High Plains Ranch Solar Power Plant | Open Energy Information  

Open Energy Info (EERE)

High Plains Ranch Solar Power Plant High Plains Ranch Solar Power Plant Jump to: navigation, search Name High Plains Ranch Solar Power Plant Facility High Plains Ranch Sector Solar Facility Type Photovoltaic Developer Sun Power Location Carizzo Plain, California Coordinates 35.1913858°, -119.7260983° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.1913858,"lon":-119.7260983,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

223

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)

224

Geothermal alteration of basaltic core from the Snake River Plain, Idaho.  

E-Print Network [OSTI]

?? The Snake River Plain is located in the southern part of the state of Idaho. The eastern plain, on which this study focuses, is (more)

Sant, Christopher J.

2013-01-01T23:59:59.000Z

225

Flow Test At Snake River Plain Region (DOE GTP) | Open Energy...  

Open Energy Info (EERE)

Flow Test At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Flow Test At Snake River Plain Region (DOE GTP)...

226

E-Print Network 3.0 - alluvial plains Sample Search Results  

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

positions create alluvial ridges along the flood plain... channels that flowed across a broad alluvial plain, similar to the modern As- siniboine River (Fig. 4... avulsion...

227

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

228

Northern Plains Electric Coop | Open Energy Information  

Open Energy Info (EERE)

Coop Coop Jump to: navigation, search Name Northern Plains Electric Coop Place North Dakota Utility Id 13196 Utility Location Yes Ownership C NERC Location MRO Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png CONTROLLED IRRIGATION SERVICE Commercial CONTROLLED OFF-PEAK SERVICE - DUAL HEAT / STORAGE HEAT (Under LPS) Industrial CONTROLLED OFF-PEAK SERVICE DUAL -HEAT / STORAGE HEAT (Under General Service ) Residential General Service - Rural and Seasonal Residential General Service - Urban Single Phase Residential

229

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...

230

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...

231

Flood Plain and Floodway Management Act (Montana) | Department of Energy  

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

Flood Plain and Floodway Management Act (Montana) Flood Plain and Floodway Management Act (Montana) Flood Plain and Floodway Management Act (Montana) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Montana Program Type Siting and Permitting Provider Montana Department of Natural Resources and Conservation

232

Evaluation of cirrus statistics produced by general circulation...  

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

models for producing climatological cloud statistics by comparing them to the cirrus climatology compiled over the Southern Great Plains (SGP) ARM site. This evaluation includes...

233

marchand-99.PDF  

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

Two-Year Cloud Climatology for the Southern Great Plains Site R. T. Marchand, T. P. Ackerman, and E. E. Clothiaux Pennsylvania State University University Park, Pennsylvania...

234

ARM - Journal Articles 2010  

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

observed during the Tropical Warm Pool-International Cloud Experiment (Citation) Monthly Weather Review ARM Lee Mechanisms of diurnal precipitation over the US Great Plains: a...

235

Environmental control of cloud-to-ground lightning polarity in severe storms  

E-Print Network [OSTI]

............................................................................ 23 a. Thunderstorm electrification ................................................ 23 1) Charging mechanisms and typical charge structure ... 23 2) Cloud-to-ground lightning flash................................. 27 3.............................................................................. 175 1 CHAPTER I INTRODUCTION The great majority of cloud-to-ground (CG) lightning flashes worldwide lower negative charge to ground (negative CG flashes) (MacGorman and Rust 1998; Rakov and Uman 2003). In a study of CG lightning across...

Buffalo, Kurt Matthew

2008-10-10T23:59:59.000Z

236

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

237

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...

238

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.

239

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

240

Reliant Coastal Plains Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Coastal Plains Biomass Facility Coastal Plains Biomass Facility Jump to: navigation, search Name Reliant Coastal Plains Biomass Facility Facility Reliant Coastal Plains Sector Biomass Facility Type Landfill Gas Location Galveston County, Texas Coordinates 29.3763499°, -94.8520636° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.3763499,"lon":-94.8520636,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "great plains 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

Northern Plains EC- Residential and Commercial Energy Efficiency Loan Program  

Broader source: Energy.gov [DOE]

Northern Plains Electric Cooperative is a member-owned electric cooperative that serves customers in east-central North Dakota. This EMC offers a low-interest loan program residential and...

242

Analytical modeling of deformed plain woven thermoplastic composites  

Science Journals Connector (OSTI)

This research addressed the deformation predictability of post-manufactured, plain weave architecture composite panels. Often times during the production of deep drawn composite parts, a fabric preform experie...

John R. Smith; Uday K. Vaidya

2014-12-01T23:59:59.000Z

243

Phosphorus fertilization of alfalfa on Coastal Plain soils  

E-Print Network [OSTI]

Grazing tolerant varieties of alfalfa (Medicago sativa L.) are being introduced to improve the quality of pastures in the southern Coastal Plain. 'Alfagraze' alfalfa was planted on eight soils near Overton, Texas to determine the P requirement...

Beedy, Tracy Lyn

2012-06-07T23:59:59.000Z

244

Tenure and Mechanization of the Cotton Harvest, Texas High Plains.  

E-Print Network [OSTI]

Tenure and the Cotton Texas High Mechanization Harvest, Plains TEXAS AGRICULTURAL EXPERIMENT STATION R. D. LEWIS, DIRECTOR, COLLEGE STATION. TEXAS SUMMARY Cotton farmers on the High Plains of Texas are unable to rely on either all... handpulling or all ma- chine-stripping. Handpulling depends on the timely appearance of an adequate supply of migratory workers who will stay through the season. Machine-stripping depends on a frost early enough to per- mit harvesting over a period of 4...

Metzler, William H.; Adkins, William G.

1955-01-01T23:59:59.000Z

245

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

246

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

247

PLAINS CO2 REDUCTION (PCOR) PARTNERSHIP  

SciTech Connect (OSTI)

During the period of October 1, 2003, through September 30, 2005, the Plains CO2 Reduction (PCOR) Partnership, identified geologic and terrestrial candidates for near-term practical and environmentally sound carbon dioxide (CO2) sequestration demonstrations in the heartland of North America. The PCOR Partnership region covered nine states and three Canadian provinces. The validation test candidates were further vetted to ensure that they represented projects with (1) commercial potential and (2) a mix that would support future projects both dependent and independent of CO2 monetization. This report uses the findings contained in the PCOR Partnership's two dozen topical reports and half-dozen fact sheets as well as the capabilities of its geographic information system-based Decision Support System to provide a concise picture of the sequestration potential for both terrestrial and geologic sequestration in the PCOR Partnership region based on assessments of sources, sinks, regulations, deployment issues, transportation, and capture and separation. The report also includes concise action plans for deployment and public education and outreach as well as a brief overview of the structure, development, and capabilities of the PCOR Partnership. The PCOR Partnership is one of seven regional partnerships under Phase I of the U.S. Department of Energy National Energy Technology Laboratory's Regional Carbon Sequestration Partnership program. The PCOR Partnership, comprising 49 public and private sector members, is led by the Energy & Environmental Research Center at the University of North Dakota. The international PCOR Partnership region includes the Canadian provinces of Alberta, Saskatchewan, and Manitoba and the states of Montana (part), Wyoming (part), North Dakota, South Dakota, Nebraska, Missouri, Iowa, Minnesota, and Wisconsin.

Edward N. Steadman; Daniel J. Daly; Lynette L. de Silva; John A. Harju; Melanie D. Jensen; Erin M. O'Leary; Wesley D. Peck; Steven A. Smith; James A. Sorensen

2006-01-01T23:59:59.000Z

248

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

249

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

250

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

251

Great Cities Institute Comparative Urbanisms  

E-Print Network [OSTI]

Great Cities Institute Comparative Urbanisms Seminar Series Governance and Social Innovation those "socially innovative strategies" undertaken by citizens in different European cities, identity, governance and social innovation. Her upcoming publications include "Multilevel Governance

Illinois at Chicago, University of

252

Great Clips Green Spoon Cafe  

E-Print Network [OSTI]

Great Clips Green Spoon Cafe The Hole Sports Lounge Hong Kong Noodle Jamba Juice Jasmine Orchid's Hair Salon Smokedale Tobacco Sport Clips Starbucks Stub and Herb's TCF Bank The Tea Garden Tea House

Dahlberg, E. Dan

253

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

254

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

255

Des Plaines, Illinois: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Des Plaines, Illinois: Energy Resources Des Plaines, Illinois: Energy Resources (Redirected from Des Plaines, IL) Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.0333623°, -87.8833991° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.0333623,"lon":-87.8833991,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

256

Management of Specific Flood Plain Areas (Iowa) | Department of Energy  

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

Management of Specific Flood Plain Areas (Iowa) Management of Specific Flood Plain Areas (Iowa) Management of Specific Flood Plain Areas (Iowa) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Iowa Program Type Environmental Regulations Provider Iowa Department of Natural Resources Floodplain management orders by the Iowa Department of Natural Resources as

257

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...

258

Assimilation of Satellite Cloud and Precipitation Observations in Numerical Weather Prediction Models: Introduction to the JAS Special Collection  

Science Journals Connector (OSTI)

To date, the assimilation of satellite measurements in numerical weather prediction (NWP) models has focused on the clear atmosphere. But satellite observations in the visible, infrared, and microwave provide a great deal of information on clouds ...

Ronald M. Errico; George Ohring; Fuzhong Weng; Peter Bauer; Brad Ferrier; Jean-Franois Mahfouf; Joe Turk

2007-11-01T23:59:59.000Z

259

Guides in Cotton Irrigation on the High Plains.  

E-Print Network [OSTI]

- ..:!~h Senice, U. S. Department of Agriculture, Lincoln, Yvb!.or;ka, and formerly of the Amarillo Experiment Sta- c, Rushland, Texas. High Plains Cotton Soils Pullman clay loam, Amarillo fine sandy loam and Amarillo loam make up the largest part... of the area farmed to cotton on the High Plains of Texas. Three million acres may be planted in ir- rigated cotton on the three soil types. Most of the Pullman clay loam soil is on the northern edge of the cotton belt in the Texas Panhandle. The Amarillo...

Swanson, N. P.; Thaxton, E. L. Jr.

1956-01-01T23:59:59.000Z

260

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...

Note: This page contains sample records for the topic "great plains 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

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

262

Why Sequence Great Salt Lake?  

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

Great Salt Lake? Great Salt Lake? On average, the Great Salt Lake is four times saltier than the ocean and also has heavy metals, high concentrations of sulfur and petroleum seeps. In spite of all this, the lake is the saltiest body of water to support life. The lake hosts brine shrimp, algae and a diverse array of microbes, not to mention the roughly 5 million birds that migrate there annually. The secret to these microbes' ability to survive under such harsh conditions might be revealed in their genes. Researchers expect the genetic data will provide insight into how the microorganisms tolerate pollutants such as sulfur and detoxify pollutants such as sulfur and heavy metals like mercury. The information could then be used to develop bioremediation techniques. Researchers also expect that sequencing microorganisms sampled

263

Great Basin | Open Energy Information  

Open Energy Info (EERE)

Great Basin Great Basin Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Great Basin Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.609920257001,"lon":-114.0380859375,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

264

The Great Gas Hydrate Escape  

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

Great Gas Great Gas Hydrate Escape The Great Gas Hydrate Escape Computer simulations revealing how methane and hydrogen pack into gas hydrates could enlighten alternative fuel production and carbon dioxide storage January 25, 2012 | Tags: Carver, Chemistry, Energy Technologies, Hopper, Materials Science PNNL Contact: Mary Beckman , +1 509 375-3688, mary.beckman@pnl.gov NERSC Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov The methane trapped in frozen water burns easily, creating ice on fire. For some time, researchers have explored flammable ice for low-carbon or alternative fuel or as a place to store carbon dioxide. Now, a computer analysis of the ice and gas compound, known as a gas hydrate, reveals key details of its structure. The results show that hydrates can hold hydrogen

265

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.

266

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

267

Plain Language: A Commitment to Writing You Can Understand | Department of  

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

Plain Language: A Commitment to Writing You Can Understand Plain Language: A Commitment to Writing You Can Understand Plain Language: A Commitment to Writing You Can Understand The Plain Writing Act of 2010 requires federal agencies to write "clear Government communication that the public can understand and use." President Obama also emphasized the importance of establishing "a system of transparency, public participation, and collaboration" in his January 21, 2009, Memorandum on Transparency and Open Government. We here at the Department of Energy are committed to writing new documents in plain language by October 2011, using the Federal Plain Language Guidelines. We have assigned staff to oversee our plain language efforts: Michael Coogan, Plain Language Contact We're training our employees and have strengthened our oversight process.

268

Assessment of various geophysical techniques for Plains Indian archaeological site investigations  

E-Print Network [OSTI]

of various geophysical techniques for non-intrusive location of Plains Indian archaeological features. Plains Indian cultural resources are being lost because of the rapidly eroding shorelines and the lack of a quick and cost-effective method for locating...

Klaff, Tamir Lee

2012-06-07T23:59:59.000Z

269

Using GIS Tainted Glasses to Help Subdivide the Ogallala/High Plains Aquifer in Kansas  

E-Print Network [OSTI]

Using GIS Tainted Glasses to Help Subdivide the Ogallala/High Plains Aquifer Brownie Wilson Geohydrology Section Kansas Geological Survey University of Kansas 12th Annual GIS Day @ KU November 20, 2013 The High Plains Aquifer Kansas Geological...

Wilson, Brownie

2013-11-20T23:59:59.000Z

270

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

271

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

272

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

273

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

274

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

275

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

276

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

277

Flood Plain Management Services Program U.S. ARMY CORPS OF ENGINEERS BUILDING STRONG  

E-Print Network [OSTI]

Flood Plain Management Services Program U.S. ARMY CORPS OF ENGINEERS BUILDING STRONG® ® People that live and work in the flood plain need to know about the flood hazard and the actions that they can take to reduce property damage and to prevent the loss of life caused by flooding. The Flood Plain Management

US Army Corps of Engineers

278

EIS-0390: Eastern Plains Transmission Project, Colorado and Kansas.  

Broader source: Energy.gov [DOE]

This EIS is for Western Area Power Administration's proposal to participate with Tri-State Generation and Transmission Association, Inc. (Tri-State), to construct the proposed Eastern Plains Transmission Project (Project). Westerns participation with Tri-State would be in exchange for capacity rights on the transmission lines.

279

"Where the Great Plains and South Collide: A History of Farm Tenancy in Oklahoma, 1890-1950".  

E-Print Network [OSTI]

??This study demonstrates that farm tenancy in Oklahoma was unique when compared with that in other states. Oklahoma farm tenancy was a hybrid of regional (more)

Lively, Kurt

2010-01-01T23:59:59.000Z

280

""Where the Great Plains and South Collide: A History of Farm Tenancy in Oklahoma, 1890-1950"".  

E-Print Network [OSTI]

??This study demonstrates that farm tenancy in Oklahoma was unique when compared with that in other states. Oklahoma farm tenancy was a hybrid of regional (more)

Lively, Kurt

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "great plains 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

Examining the Relationship between Antecedent Soil Moisture and Summer Precipitation in the U.S. Great Plains  

E-Print Network [OSTI]

) and VIC (red)) daily soil moisture (top) and soil moisture anomalies (bottom) at Bushland, TX in 2004 (left) and 2005 (right). ...................................... 38 Figure 4.2 Measured (black) and modeled (DSSAT (blue) and VIC (red...)) daily soil moisture (top) and soil moisture anomalies (bottom) at Powder Mill, MD in 2002 (left) and 2004 (right)................................................ 39 Figure 4.3 Measured (black) and CWB (red) monthly soil moisture from 1995...

Meng, Lei

2010-01-14T23:59:59.000Z

282

Pleistocene and Recent environments of the Central Great Plains. Edited by Wakefield Dort, Jr., and J. Knox Jones, Jr.  

E-Print Network [OSTI]

stress on the local environment that affected the existing population of plants, animals, and aboriginal man. Study of the myriad events of Pleistocene and Recent time-the Qua ternary Period-is without question the most complex field of the natural sci..., development and mod ification of soils, and even records of population changes for plants, animals, or aboriginal man all provide impor tant clues. Less is known about fluctu ations in these warmer areas, which actually constitute more than half of the land...

1970-01-01T23:59:59.000Z

283

A 5-year study documents the fish communities in the state's western rivers. Great Plains Rivers and Fis)  

E-Print Network [OSTI]

and Fis) by Charles R. Berry Jr., Adjunct Professor U. S. Geological Survey South Dakota Cooperative Fish

284

A Habitat-based Wind-Wildlife Collision Model with Application to the Upper Great Plains Region  

SciTech Connect (OSTI)

Most previous studies on collision impacts at wind facilities have taken place at the site-specific level and have only examined small-scale influences on mortality. In this study, we examine landscape-level influences using a hierarchical spatial model combined with existing datasets and life history knowledge for: Horned Lark, Red-eyed Vireo, Mallard, American Avocet, Golden Eagle, Whooping Crane, red bat, silver-haired bat, and hoary bat. These species were modeled in the central United States within Bird Conservation Regions 11, 17, 18, and 19. For the bird species, we modeled bird abundance from existing datasets as a function of habitat variables known to be preferred by each species to develop a relative abundance prediction for each species. For bats, there are no existing abundance datasets so we identified preferred habitat in the landscape for each species and assumed that greater amounts of preferred habitat would equate to greater abundance of bats. The abundance predictions for bird and bats were modeled with additional exposure factors known to influence collisions such as visibility, wind, temperature, precipitation, topography, and behavior to form a final mapped output of predicted collision risk within the study region. We reviewed published mortality studies from wind farms in our study region and collected data on reported mortality of our focal species to compare to our modeled predictions. We performed a sensitivity analysis evaluating model performance of 6 different scenarios where habitat and exposure factors were weighted differently. We compared the model performance in each scenario by evaluating observed data vs. our model predictions using spearmans rank correlations. Horned Lark collision risk was predicted to be highest in the northwestern and west-central portions of the study region with lower risk predicted elsewhere. Red-eyed Vireo collision risk was predicted to be the highest in the eastern portions of the study region and in the forested areas of the western portion; the lowest risk was predicted in the treeless portions of the northwest portion of the study area. Mallard collision risk was predicted to be highest in the eastern central portion of the prairie potholes and in Iowa which has a high density of pothole wetlands; lower risk was predicted in the more arid portions of the study area. Predicted collision risk for American Avocet was similar to Mallard and was highest in the prairie pothole region and lower elsewhere. Golden Eagle collision risk was predicted to be highest in the mountainous areas of the western portion of the study area and lowest in the eastern portion of the prairie potholes. Whooping Crane predicted collision risk was highest within the migration corridor that the birds follow through in the central portion of the study region; predicted collision risk was much lower elsewhere. Red bat collision risk was highly driven by large tracts of forest and river corridors which made up most of the areas of higher collision risk. Silver-haired bat and hoary bat predicted collision risk were nearly identical and driven largely by forest and river corridors as well as locations with warmer temperatures, and lower average wind speeds. Horned Lark collisions were mostly influenced by abundance and predictions showed a moderate correlation between observed and predicted mortality (r = 0.55). Red bat, silver-haired bat, and hoary bat predictions were much higher and shown a strong correlations with observed mortality with correlations of 0.85, 0.90, and 0.91 respectively. Red bat collisions were influenced primarily by habitat, while hoary bat and silver-haired bat collisions were influenced mainly by exposure variables. Stronger correlations between observed and predicted collision for bats than for Horned Larks can likely be attributed to stronger habitat associations and greater influences of weather on behavior for bats. Although the collision predictions cannot be compared among species, our model outputs provide a convenient and easy landscape-level tool to quick

Forcey, Greg, M.

2012-08-28T23:59:59.000Z

285

Ground truth measurements for validation of AIRS land surface temperature and emissivity products at the Southern Great Plains validation site  

Science Journals Connector (OSTI)

This paper presents results from a land use/land cover ground survey in the ARM/CART site region and investigates the applicability of the USGS land use/land cover database to...

Osborne, Brian J; Knuteson, Robert O; Revercomb, Henry E; Short, John F; Tobin, David C

286

A comparison of groundwater recharge estimation methods in the Williston and Powder River structural basins in the Northern Great Plains  

E-Print Network [OSTI]

A comparison of groundwater recharge estimation methods in the Williston and Powder River-water-balance (SWB) model to estimate groundwater recharge in the Williston and Powder River structural basins

Torgersen, Christian

287

Variability of the Great Plains Low-Level Jet: Large-Scale Circulation Context and Hydroclimate Impacts  

E-Print Network [OSTI]

is a predominantly flat agricultural region in close proximity to the Rocky Mountains and the Gulf of Mexico. During

Nigam, Sumant

288

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

289

An Assessment of Microwave Absorption Models and Retrievals of Cloud Liquid Water Using Clear-Sky Data  

SciTech Connect (OSTI)

Passive microwave radiometers have a long history in the remote sensing of atmospheric liquid and water vapor. Retrievals of these quantities are sensitive to variations in pressure and temperature of the liquid and water vapor. Rather than use a statistical or climatological approach to account for the natural variability in atmospheric pressure and temperature, additional information on the atmospheric profile at the time of the radiometer measurements can be directly incorporated into the retrieval process. Such an approach has been referred to in the literature as a physical-iterative solution. This paper presents an assessment of the accuracy of the column liquid water path that can be expected using such an iterative technique as a result of uncertainties in the microwave emissions from oxygen and water vapor. It is shown that the retrieval accuracy is influenced by the accuracy of the instrument measurements and the quality of the atmospheric profiles of temperature and pressure, as one would expect. But also critical is the uncertainty in the absorption coefficients used in the underlying microwave radiative transfer model. The uncertainty in the absorption coefficients is particularly problematic in that it may well bias the liquid water retrieval. The differences between 3 absorption models examined in this paper are equivalent to a bias of 15 to 30 g/m2, depending on the total column water vapor. An examination of typical liquid water paths from the Southern Great Plains region of the United States shows that errors of this magnitude have significant implications for shortwave radiation and retrievals of cloud effective particle size.

Marchand, Roger T.; Ackerman, Thomas P.; Westwater, Ed R.; Clough, Shepard A.; Cady-Pereira, Karen; Liljegren, James C.

2003-12-19T23:59:59.000Z

290

Level Plains, Alabama: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Plains, Alabama: Energy Resources Plains, Alabama: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 31.2996162°, -85.7779914° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":31.2996162,"lon":-85.7779914,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

291

Morris Plains, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Plains, New Jersey: Energy Resources Plains, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.836067°, -74.481575° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.836067,"lon":-74.481575,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

292

South Plains Electric Coop Inc | Open Energy Information  

Open Energy Info (EERE)

Plains Electric Coop Inc Plains Electric Coop Inc Place Texas Utility Id 17561 Utility Location Yes Ownership C NERC Location SPP & TRE NERC ERCOT Yes NERC SPP Yes ISO Ercot Yes RTO SPP Yes Activity Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Large Power Over 50,000 KW Commercial Commercial Load Retention for Large Power over 2000 KW Commercial Cotton Gin Commercial Cotton Gin-Separately Metered Commercial Cotton Gins-Net Metering Commercial Distributed Generation Rider(50 kW - 250 kW) Commercial General Service All Electric II-Commercial Commercial

293

Plain City, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Plain City, Ohio: Energy Resources Plain City, Ohio: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.1075615°, -83.2674165° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.1075615,"lon":-83.2674165,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

294

Des Plaines, Illinois: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Plaines, Illinois: Energy Resources Plaines, Illinois: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.0333623°, -87.8833991° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.0333623,"lon":-87.8833991,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

295

City of West Plains, Missouri (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Plains Plains Place Missouri Utility Id 20392 Utility Location Yes Ownership M NERC Location SERC NERC SERC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png City Commercial I Commercial City Commercial II a Commercial City Commercial II b Commercial City Employees Residential City Facilities Commercial Electric Rates-City Residential Electric Rates-Rural Residential Housing Authority Residential Industrial Primary Industrial

296

Maple Plain, Minnesota: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Plain, Minnesota: Energy Resources Plain, Minnesota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.0071851°, -93.6557945° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.0071851,"lon":-93.6557945,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

297

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

298

West Plains Electric Coop Inc | Open Energy Information  

Open Energy Info (EERE)

West Plains Electric Coop Inc West Plains Electric Coop Inc Place North Dakota Utility Id 20395 References Energy Information Administration.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available The following table contains monthly sales and revenue data for West Plains Electric Coop Inc (North Dakota). Month RES REV (THOUSAND $) RES SALES (MWH) RES CONS COM REV (THOUSAND $) COM SALES (MWH) COM CONS IND_REV (THOUSAND $) IND SALES (MWH) IND CONS OTH REV (THOUSAND $) OTH SALES (MWH) OTH CONS TOT REV (THOUSAND $) TOT SALES (MWH) TOT CONS 2008-02 520.255 9,974.038 4,609 115.333 1,963.162 969 888.433 14,154.159 788 1,524.021 26,091.359 6,366

299

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.

300

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

Note: This page contains sample records for the topic "great plains 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

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

302

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

303

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

304

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...

305

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.

306

Great Britain | OpenEI  

Open Energy Info (EERE)

Britain Britain Dataset Summary Description The windspeed database provides estimates of mean annual wind speed throughout the UK, averaged over a 1-kilometer square area, at each of the following three heights above ground level (agl): 10 meters, 25 meters, and 45 meters. The windspeed database is available through the UK Department of Energy and Climate Change (DECC) website, and is provided for archive purposes only. The database is comprised of historic information, including results derived from mathematical models, so it should not be considered to be measured data, or up to date or accurate. Source UK Department of Energy and Climate Change (DECC) Date Released December 31st, 2000 (13 years ago) Date Updated Unknown Keywords archive Great Britain Northern Ireland

307

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

308

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

309

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

310

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

311

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

312

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.

313

Hydrogeochemical Indicators for Great Basin Geothemal Resources  

Broader source: Energy.gov [DOE]

Hydrogeochemical Indicators for Great Basin Geothemal Resources presentation at the April 2013 peer review meeting held in Denver, Colorado.

314

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

315

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

316

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

317

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

318

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

319

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

320

Learning Feature-Value Grammars from Plain Text Tony C. Smith  

E-Print Network [OSTI]

Feature-ValueGrammars from Plain Text. In D.M.W. Powers (ed.) NeMLaP3/CoNLL98 Workshopon Paradigmsand Groundingin Language

Note: This page contains sample records for the topic "great plains 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

Microearthquake surveys of Snake River plain and Northwest Basin and Range  

Open Energy Info (EERE)

surveys of Snake River plain and Northwest Basin and Range surveys of Snake River plain and Northwest Basin and Range geothermal areas Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Microearthquake surveys of Snake River plain and Northwest Basin and Range geothermal areas Details Activities (2) Areas (2) Regions (0) Abstract: applications; Basin and Range Province; Black Rock Desert; Cassia County Idaho; earthquakes; economic geology; exploration; fracture zones; geophysical methods; geophysical surveys; geothermal energy; Humboldt County Nevada; Idaho; microearthquakes; Nevada; North America; passive systems; Pershing County Nevada; Raft River; reservoir rocks; seismic methods; seismicity; seismology; Snake River plain; surveys; United States; Western U.S. Author(s): Kumamoto, L.H.

322

Flood Plain or Floodway Development (Iowa) | Department of Energy  

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

or Floodway Development (Iowa) or Floodway Development (Iowa) Flood Plain or Floodway Development (Iowa) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Iowa Program Type Environmental Regulations Provider Iowa Department Natural Resources This section describes situations when a permit is needed for the

323

Furrow Diking and Subsoiling Studies in the Rolling Plains.  

E-Print Network [OSTI]

TDOC Z TA245.7 9873 NO.1585 8-1585 ~ ...-------------. Furrow Diking and Subsoiling Studies in the Rolling Plains -LIBR~R I JAN?198s r~as ~&4I . _____ __ -'U'J"!!II~.s: THE TEXAS AGRICULTURAL EXPERIMENT STATION/Neville P. Clarke... 1195a 900a 1602a 1556a 1847a 1481a 1778a 1585a 1936a 1327 1672 1984 Ibs/A 2266a 2056a 2500a 2323a 2649a 2568a 2682a 2408a 2675a 2380a 2554 2347 1985 Ibs/A 3342 3202 3344 3578 2934 3079 3555 3646 3147 3638 3264 3429 Average 1036a...

Gerard, C.J.

1987-01-01T23:59:59.000Z

324

EIS-0486: Plains & Eastern Clean Line Transmission Project  

Broader source: Energy.gov [DOE]

This EIS will evaluate the potential environmental impacts of participating with Clean Line Energy Partners LLC (Clean Line) in the proposed Plains & Eastern Project. The proposed project would include an overhead 600 kilovolt (kV) high voltage direct current (HVDC) electric transmission system and associated facilities with the capacity to deliver approximately 3,500 megawatts (MW) primarily from renewable energy generation facilities in the Oklahoma Panhandle region to load-serving entities in the Mid-South and Southeast via an interconnection with the Tennessee Valley Authority (TVA).

325

ARM - Field Campaign - ARM Support for the Plains Elevated Convection...  

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

convection, and (d) this lack of understanding greatly hampers the ability of numerical weather and climate models to simulate nocturnal convection well which leads to...

326

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

327

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

328

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

329

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

330

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

331

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.

332

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

333

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

334

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

335

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

336

Star Formation in Disk Galaxies. III. Does stellar feedback result in cloud death?  

E-Print Network [OSTI]

Stellar feedback, star formation and gravitational interactions are major controlling forces in the evolution of Giant Molecular Clouds (GMCs). To explore their relative roles, we examine the properties and evolution of GMCs forming in an isolated galactic disk simulation that includes both localised thermal feedback and photoelectric heating. The results are compared with the three previous simulations in this series which consists of a model with no star formation, star formation but no form of feedback and star formation with photoelectric heating in a set with steadily increasing physical effects. We find that the addition of localised thermal feedback greatly suppresses star formation but does not destroy the surrounding GMC, giving cloud properties closely resembling the run in which no stellar physics is included. The outflows from the feedback reduce the mass of the cloud but do not destroy it, allowing the cloud to survive its stellar children. This suggests that weak thermal feedback such as the low...

Tasker, Elizabeth J; Pudritz, Ralph

2015-01-01T23:59:59.000Z

337

PALMER AMARANTH MANAGEMENT IN TEXAS HIGH PLAINS COTTON J.W. Keeling  

E-Print Network [OSTI]

PALMER AMARANTH MANAGEMENT IN TEXAS HIGH PLAINS COTTON J.W. Keeling Texas AgriLife Research Lubbock in many cotton producing states since resistance to glyphosate was identified in 2005. Palmer amaranth has long been the most common and troublesome weed in Texas High and Rolling Plains cotton. In 1994, prior

Mukhtar, Saqib

338

The Effects of Energy Prices on Groundwater Extraction in Agriculture in the High Plains Aquifer*  

E-Print Network [OSTI]

in the High Plains Aquifer. Dumler et al. (2009) estimate that the energy cost of extracting irrigation water1 The Effects of Energy Prices on Groundwater Extraction in Agriculture in the High Plains-752-0824 Abstract In this article we examine the effects of energy prices on groundwater extraction using

Lin, C.-Y. Cynthia

339

Laboratory-Measured and Property-Transfer Modeled Saturated Hydraulic Conductivity of Snake River Plain  

E-Print Network [OSTI]

Plain Aquifer Sediments at the Idaho National Laboratory, Idaho Scientific Investigations Report 2008, Idaho: U.S. Geological Survey Scientific-Investigations Report 2008­5169, 14 p. #12;iii Contents Conductivity of Snake River Plain Aquifer Sediments at the Idaho National Laboratory, Idaho By Kim S. Perkins

340

UPDATE TO PLAINS & EASTERN CLEAN LINE PROPOSAL FOR NEW OR UPGRADED TRANSMISSION LINE PROJECTS  

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

UPDATE TO PLAINS & EASTERN CLEAN LINE PROPOSAL UPDATE TO PLAINS & EASTERN CLEAN LINE PROPOSAL FOR NEW OR UPGRADED TRANSMISSION LINE PROJECTS UNDER SECTION 1222 OF THE ENERGY POLICY ACT OF 2005 AUGUST 2011 Table of Contents 1. Executive Summary .......................................................................................................... 1 2. Project Update .................................................................................................................. 2 a. Jobs and Economic Development ........................................................................................................... 5 b. Interconnection Studies ............................................................................................................................. 6 c. Routing and Public Outreach ................................................................................................................... 7

Note: This page contains sample records for the topic "great plains 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

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

342

Radiative Importance of ThinŽ Liquid Water Clouds  

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

Program Program Accomplishments of the Instantaneous Radiative Flux (IRF) Working Group August 2006 AERI Observations at Southern Great Plains Improve Infrared Radiative Transfer Models Turner et al., JAS, 2004 * AERI observations used to evaluate clear sky IR radiative transfer models * Long-term comparisons have improved - Spectral line database parameters - Water vapor continuum absorption models * Reduced errors in computation of downwelling radiative IR flux by approx 4; current uncertainty is on the order of 1.5 W/m 2 AERI - (Pre-ARM Model) AERI - (Model in 2003) 1 RU = 1 mW / (m 2 sr cm -1 ) Excellent Agreement in Clear Sky Shortwave Radiative Transfer Between Obs and Calcs Shortwave Flux Bias (Solid) Shortwave Flux RMS (Hatched) W m -2 * Comparison of shortwave radiative flux at the surface

343

Potential Oil Production from the Coastal Plain of the Arctic National  

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

Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment 3. Summary The 1.5 million-acre coastal plain of the 19 million-acre Arctic National Wildlife Refuge is the largest unexplored, potentially productive geologic onshore basin in the United States. The primary area of the coastal plain is the 1002 Area of ANWR established when ANWR was created. A decision on permitting the exploration and development of the 1002 Area is up to Congress and has not been approved to date. Also included in the Coastal Plain are State lands to the 3-mile offshore limit and Native Inupiat land near the village of Kaktovik. The USGS estimated: a 95 percent probability that at least 5.7 billion barrels of technically recoverable undiscovered oil are in the ANWR coastal plain,

344

Plains & Eastern Clean Line Project Proposal for New or Upgraded  

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

Plains & Eastern Clean Line Project Proposal for New or Upgraded Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 (July 2010) Update to Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 (August 2011) More Documents & Publications EIS-0486: Notice of Intent and Notice of Potential Floodplain and Wetland Involvement Notice of Intent To Prepare an Environmental Impact Statement for the

345

Well Log Techniques At Snake River Plain Region (DOE GTP) | Open Energy  

Open Energy Info (EERE)

Well Log Techniques At Snake River Plain Region (DOE GTP) Well Log Techniques At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Well Log Techniques At Snake River Plain Region (DOE GTP) Exploration Activity Details Location Snake River Plain Geothermal Region Exploration Technique Well Log Techniques Activity Date Usefulness not indicated DOE-funding Unknown References (1 January 2011) GTP ARRA Spreadsheet Retrieved from "http://en.openei.org/w/index.php?title=Well_Log_Techniques_At_Snake_River_Plain_Region_(DOE_GTP)&oldid=600470" Categories: Exploration Activities DOE Funded Activities ARRA Funded Activities What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

346

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.

347

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

348

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

349

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

350

Great Lakes | OpenEI  

Open Energy Info (EERE)

Lakes Lakes Dataset Summary Description This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. Source National Renewable Energy Laboratory (NREL) Date Released August 19th, 2010 (4 years ago) Date Updated August 23rd, 2010 (4 years ago) Keywords GIS Great Lakes NREL offshore wind shapefile U.S. wind windspeed Data application/zip icon Download Shapefile (zip, 11.8 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below Comment DISCLAIMER NOTICE 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. DISCLAIMER NOTICE 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.

351

An Enhanced Implementation of the Allocation Macros in LATEX 2" , LATEX 2.09, and plain-TEX  

E-Print Network [OSTI]

.09, and plain-TEX Bernd Raichle Stettener Str. 73 the allocation command macros provided by plain-TEX and adds macros to allow allocation of local registers inside groups. 1 Introduction 1.1 Restrictions of plain.tex's Register Allocation Macros

Mintmire, John W.

352

South African Association of Geomorphologists, Johannesburg, South Africa, 2000 Flood plain formation in semi-arid central Australia.  

E-Print Network [OSTI]

South African Association of Geomorphologists, Johannesburg, South Africa, 2000 Flood plain, evolution and internal stratigraphy of semi-arid flood plains are poorly studied and understood. Many of these rivers combine variable discharge regimes with erodable channel boundaries and the resultant flood plains

Bourke, Mary C.

353

On the origin of graben and ridges within and near volcanically buried craters and basins in Mercury's northern plains  

E-Print Network [OSTI]

in Mercury's northern plains Andrew M. Freed,1 David M. Blair,1 Thomas R. Watters,2 Christian Klimczak,3 Paul volcanic plains taken by the MESSENGER spacecraft reveal a large number of buried impact craters and basins pooled lavas were thickest, and no graben are predicted within generally thinner plains outside of major

Zuber, Maria

354

Spatial and temporal variations in the grain-size characteristics of historical flood plain deposits, Blue River, Wisconsin, USA  

E-Print Network [OSTI]

Spatial and temporal variations in the grain-size characteristics of historical flood plain of accelerated flood plain sedimentation. More than 800 samples were collected from 53 cores along nine flood plain transects. Overbank deposits exhibit a coarsening-upward sequence attributed to historical changes

Lecce, Scott A.

355

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

356

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

357

Snake River Plain Geothermal Project | Open Energy Information  

Open Energy Info (EERE)

Project Project Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Development Project: Snake River Plain Geothermal Project Project Location Information Coordinates 43.136944444444°, -115° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.136944444444,"lon":-115,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

358

Plains CO2 Reduction Partnership--Validation Phase  

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

Andrea McNemar Andrea McNemar Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road PO Box 880 Morgantown, WV 26507 304-285-2024 andrea.mcnemar@netl.doe.gov Edward N. Steadman Deputy Associate Director for Research Energy & Environmental Research Center University of North Dakota 15 North 23rd Street, Stop 9018 Grand Forks, ND 58202-9018 701-777-5279 esteadman@undeerc.org John A. Harju Associate Director for Research Energy & Environmental Research Center University of North Dakota 15 North 23rd Street, Stop 9018 Grand Forks, ND 58202-9018 701-777-5157 jharju@undeerc.org PARTNERS (2003 TO PRESENT) Abengoa Bioenergy New Technology, Inc. Air Products and Chemicals, Inc. Alberta Department of Energy Alberta Department of Environment Plains CO2 Reduction Partnership-

359

Green Plains Renewable Energy Inc GPRE | Open Energy Information  

Open Energy Info (EERE)

GPRE GPRE Jump to: navigation, search Name Green Plains Renewable Energy Inc (GPRE) Place Omaha, Nebraska Zip 68114 Product Nebraska-based publicly traded bioethanol producer. Coordinates 33.180954°, -94.743294° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.180954,"lon":-94.743294,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

360

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

Note: This page contains sample records for the topic "great plains 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 - 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

362

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 &

363

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...

364

Multiscale Models for Cumulus Cloud Dynamics  

Science Journals Connector (OSTI)

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

Samuel N. Stechmann; Bjorn Stevens

2010-10-01T23:59:59.000Z

365

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....

366

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

367

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

368

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

369

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

370

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

371

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

372

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

373

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

374

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

375

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

376

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

377

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

378

Potential Oil Production from the Coastal Plain of the Arctic National  

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

Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment References Energy Information Administration, Annual Energy Outlook 2000, DOE/EIA-0383(2000) (Washington, DC, December 1999), Table A11. Energy Information Administration, Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge, SR/RNGD/87-01 (Washington, DC, September 1987). U.S. Department of Interior, Arctic National Wildlife Refuge, Alaska, Coastal Plain Resource Assessment, (Washington, DC, November, 1986). U.S. Department of Interior, Bureau of Land Management, Minerals Management Service. Northeast National Petroleum Reserve-Alaska Final Integrated Activity Plan / Environmental Impact Statement, (Anchorage , Alaska, August, 1998).

379

NPP Grassland: Central Plains Experimental Range (SGS), U.S.A.  

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

Central Plains Experimental Range (SGS), U.S.A., 1970-1975 Central Plains Experimental Range (SGS), U.S.A., 1970-1975 [PHOTOGRAPH] Photograph: Weather station/exclosure within the CPER site (click on the photo to view a series of images from this site). Data Citation Cite this data set as follows: Uresk, D., P. L. Sims, and J. L. Dodd. 1996. NPP Grassland: Central Plains Experimental Range (SGS), U.S.A., 1970-1975. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. Description Productivity of a shortgrass prairie steppe was monitored at the Central Plains Experimental Range (CPER), sometimes referred to as the Pawnee Grassland study site, from 1939 to the present. Measurements of monthly dynamics of above-ground live biomass and dead matter were made from 1970

380

EIS-0486: Plains & Eastern Clean Line Transmission Project | Department of  

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

86: Plains & Eastern Clean Line Transmission Project 86: Plains & Eastern Clean Line Transmission Project EIS-0486: Plains & Eastern Clean Line Transmission Project SUMMARY This EIS will evaluate the potential environmental impacts of participating with Clean Line Energy Partners LLC (Clean Line) in the proposed Plains & Eastern Project. The proposed project would include an overhead ± 600 kilovolt (kV) high voltage direct current (HVDC) electric transmission system and associated facilities with the capacity to deliver approximately 3,500 megawatts (MW) primarily from renewable energy generation facilities in the Oklahoma Panhandle region to load-serving entities in the Mid-South and Southeast via an interconnection with the Tennessee Valley Authority (TVA). PUBLIC COMMENT OPPORTUNITIES None available at this time.

Note: This page contains sample records for the topic "great plains 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

Adjustments Due to a Declining Groundwater Supply: High Plains of Northern Texas and Western Oklahoma  

E-Print Network [OSTI]

The region north of the Canadian River in Texas and including the three western counties of Oklahoma have been rapidly developing the groundwater resource since the mid 1960's. This region, hereafter referred to as the Northern High Plains...

Lacewell, R D.; Jones, L. L.; Osborn, J. E.

382

Irrigation Water Management for the Texas High Plains: A Research Summary  

E-Print Network [OSTI]

TR-139 1987 Irrigation Water Management for the Texas High Plains: A Research Summary J.M. Sweeten W.R. Jordan Texas Water Resources Institute Texas A&M University ...

Sweeten, John M.; Jordan, Wayne R.

383

Vegetation, soils, and surface hydrology of playa landforms in the Rio Grande Plains, Texas  

E-Print Network [OSTI]

Playas in the Rio Grande Plains of southern Texas were compared with respect to their: 1) size, shape, soil properties, and microtopography, 2) vegetation composition and structure, 3) surface water accumulation potential, and 4) disturbance history...

Farley, Andrea Lee

2012-06-07T23:59:59.000Z

384

Savannah River Region: Transition between the Gulf and Atlantic Coastal Plains. Proceedings  

SciTech Connect (OSTI)

The focus of the this conference of Coastal Plains geologists was on the Savannah River region of Georgia and South Carolina, and particularly on the geology of the US Department of Energy`s 300 square mile Savannah River Site (SRS) in western South Carolina. Current geological studies indicate that the Mesozoic-Cenozoic section in the Savannah River region is transitional between that of the Gulf Coastal Plain to the southwest and that of the Atlantic Coastal Plain to the northeast. With the transitional aspect of the region as its theme, the first session was devoted to overviews of Cretaceous and Paleogene geology in the Gulf and Atlantic Coastal Plains. Succeeding presentations and resulting discussions dealt with more specific problems in structural, lithostratigraphic, hydrological, biostratigraphic, and cyclostratigraphic analysis, and of correlation to standard stratigraphic frameworks. For these conference proceedings, individual papers have been processed separately for the Energy Data Base.

Zullo, V.A.; Harris, W.B.; Price, V. [eds.

1990-12-31T23:59:59.000Z

385

COMPARISON OF PICKER AND STRIPPER HARVESTERS ON IRRIGATED COTTON ON THE HIGH PLAINS OF TEXAS  

E-Print Network [OSTI]

Plains is of more storm-proof varieties that have traditionally been harvested using stripper harvesters. However, improvements in irrigation technology and shifting markets for US cotton have increased interest in picker harvesters in the region. A...

Faulkner, William B.

2010-01-16T23:59:59.000Z

386

Finite Element Analysis of Ballistic Penetration of Plain Weave Twaron CT709 Fabrics: A Parametric Study  

E-Print Network [OSTI]

The ballistic impact of Twaron CT709 plain weave fabrics is studied using an explicit finite element method. Many existing approximations pertaining to woven fabrics cannot adequately represent strain rate-dependent behavior exhibited by the Twaron...

Gogineni, Sireesha

2011-10-21T23:59:59.000Z

387

Protecting Elm Trees from Elm Bark Beetle on the Texas High Plains  

E-Print Network [OSTI]

is to grow a Texas native. Several new USDA selections and hybrids look promising. Pecan (native) The state tree of Texas does well in most locations in the state. In the South Plains, ?Pawnee,? Carya illinoinensis ?Caddo,? ?Shoshoni,? ?Maramec,? ?Mohawk...

Porter, Patrick; Baugh, Brant A.; Siders, Kerry; Riley, Cherinell; Young, Stanley

2001-06-27T23:59:59.000Z

388

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

389

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

390

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.

391

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

392

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

393

Two dimensional finite element analysis of homogenization and failure in plain weave textile composites  

E-Print Network [OSTI]

TWO DIMENSIONAL FINITE ELEMENT ANALYSIS OF HOMOGENIZATION AND FAILURE IN PLAIN WEAVE TEXTILE COMPOSITES A Thesis by VEERARAGHAVA GOPAL KONDAGUNTA Submitted to the Office of Graduate Studies of Texas ARM University In partial fulffllment... of the requirements for the degree of MASTER OF SCIENCE August 1993 Major Subject: Aerospace Engineering TWO DIMENSIONAL FINITE ELEMENT ANALYSIS OF HOMOGENIZATION AND FAILURE IN PLAIN WEAVE TEXTILE COMPOSITES A Thesis by VEERARAGHAVA GOPAL KONDAGUNTA...

Kondagunta, Veeraraghava Gopal

2012-06-07T23:59:59.000Z

394

An Economic Comparison of Conventional and Narrow-Row Cotton Production--Southern Plains of Texas.  

E-Print Network [OSTI]

JUN ~ 3 1977 Texas A&M University June 19' An Economic Comparison of Coventional and Narrow-Row -- Cotton Production-Southern High Plains of Texas The Texas Agricultural Experiment Station, J. E. Miller, Director' The Texas A&M University... interest in adopting narrow-row sys tems for cotton production in the Southern High Plains of Texas prompted an economic comparison of these new systems with conventional production sys tems for cotton. Previous experimental research in dicated...

Young, Kenneth B.; Adams, James R.

1977-01-01T23:59:59.000Z

395

Food habits of axis deer (Axis axis) on the Coastal Plain, Calhoun County, Texas  

E-Print Network [OSTI]

FOOD HABITS OF AXIS DEER (Axis axis) ON THE COASTAL PLAIN, CALHOUN COUNTY, TEXAS A Thesis by JOHN CLARENCE SMITH Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE December 197l Major Subject: Wildlife Science FOOD HABITS OF AXIS DEER (Axi. s axis) ON THE COASTAL PLAIN, CALHOUN COUNTY, TEXAS A Thesis by JOHN CLARENCE SMITH Approved as to style and content by: (Chairman of Committee) ! (Head...

Smith, John Clarence

2012-06-07T23:59:59.000Z

396

Some grazing system impacts on white-tailed deer on the northern Rio Grande Plain  

E-Print Network [OSTI]

SOME GRAZING SYSTEM IMPACTS ON WHITE-TAILED DEER ON THE NORTHERN RIO GRANDE PLAIN A Thesis by HUGH DOUGLAS PATRICKSON Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree... of MASTER OF SCIENCE May 1983 Major Subject: Wildlife and Fisheries Sciences SOME GRAZING SYSTEM IMPACTS ON WHITE-TAILED DEER ON THE NORTHERN RIO GRANDE PLAIN A Thesis by HUGH DOUGLAS PATRICKSON Approved as to style and content by: (Chairman...

Patrickson, Hugh Douglas

2012-06-07T23:59:59.000Z

397

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

398

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

399

ARM - Campaign Instrument - spec-learjet  

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

Aerosols, Airborne Observations, Cloud Properties Campaigns In Situ Support of the ARM UAV Fall 2002 Mission Download Data Southern Great Plains, 2002.11.03 - 2002.11.23...

400

ARM - Campaign Instrument - aod  

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

MAGIC (Marine ARM GPCI Investigation of Clouds), 2012.09.01 - 2013.09.30 Spring 1994 UAV IOP Download Data Southern Great Plains, 1994.04.01 - 1994.04.30 Primary...

Note: This page contains sample records for the topic "great plains 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

ARM - Publications: Science Team Meeting Documents  

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

A Three-Year Cloud Climatology for the Southern Great Plains Site Marchand, R.T. (a), Ackerman, T.P. (a), and Clothiaux, E.E. (b), Pacific Northwest National Laboratory (a),...

402

ARM - Publications: Science Team Meeting Documents  

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

Y.A. Pkhalagov A Two-Year Cloud Climatology for the Southern Great Plains Site R.T. Marchand, T.P. Ackerman, and E.E. Clothiaux AERI + GOES Retrievals at the SGP ARM Site: SCM...

403

Cloud API Issues: an Empirical Study and Impact  

E-Print Network [OSTI]

Outages to the cloud infrastructures have been widely publicized and it would be easy to conclude that application developers only need to be concerned with large scale cloud provider infrastructure outages. Unfortunately, this is not the case. In-cloud applications heavily rely on cloud infrastructure APIs (directly or indirectly through scripts and consoles) for many sporadic activities such as deployment change, scaling out/in, backup, recovery and migration. Failures and/or issues around API calls are a large source of faults that could lead to application failures, especially during sporadic activities. Infrastructure outages can also be greatly exacerbated by API-related issues. In this paper we present an empirical study of issues in Amazon EC2 APIs. Some of the major findings around API issues include: 1) A majority (60%) of the cases of API failures are related to stuck API calls or unresponsive API calls. 2) A significant portion (12%) of the cases of API failures are about slow responsive API calls. 3) 19 % of the cases of API failures are related to the output issues of API calls, including failed calls with unclear error messages, as well as missing output, wrong output, and unexpected output of API calls. 4) There are 9 % cases of API failures reporting that their calls (performing some actions and expecting a state change) were pending for a certain time and then returned to the original state without informing the caller properly or the calls were reported to be successful first but failed later. We also classify the causes of API issues and discuss the impact of API issues on application architectures.

Qinghua Lu; Liming Zhu; Len Bass; Xiwei Xu; Zhanwen Li; Hiroshi Wada

404

Radar Nowcasting of Cloud-to-Ground Lightning over Houston, Texas RICHARD M. MOSIER,* COURTNEY SCHUMACHER, AND RICHARD E. ORVILLE  

E-Print Network [OSTI]

-to-ground lightning flash from a convective cell. Convective cells were tracked using a modified version of the Storm lightning flashes to find the best lightning forecast criteria. Results show that using 30 dBZ at the 2158. Introduction The forecasting of cloud-to-ground (CG) lightning flashes is of great importance. Curran et al

405

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

406

The dependence of cloud particle size and precipitation probability on non-aerosol-loading related variables  

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

Explaining and reducing the uncertainties in the first aerosol i Explaining and reducing the uncertainties in the first aerosol i Explaining and reducing the uncertainties in the first aerosol indirect effect ndirect effect Hongfei Shao and Guosheng Liu Meteorology Department, Florida State University INTRODUCTION INTRODUCTION Anthropogenic aerosols enhance cloud reflectance of solar radiation by increasing the cloud droplet number concentrations. This so-called first Aerosol Indirect Effect (AIE) has a potentially large cooling tendency on our planet. However, discrepancies of more than a factor of 2 have been reported among observations 1 as well as model simulations 2 of the AIE. Our recent study 3 shows that the discrepancies will be reduced greatly if the entrainment-mixing evaporation of cloud drops is taken into account.

407

Great River Energy | Open Energy Information  

Open Energy Info (EERE)

Great River Energy Great River Energy Place Minnesota Utility Id 7570 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Great_River_Energy&oldid=410764"

408

GreatPoint Energy | Open Energy Information  

Open Energy Info (EERE)

GreatPoint Energy GreatPoint Energy Jump to: navigation, search Name GreatPoint Energy Address 222 Third Street Place Cambridge, Massachusetts Zip 02142 Sector Biomass Product Converts coal, petroleum coke and biomass into natural gas Website http://www.greatpointenergy.co Coordinates 42.3672873°, -71.0814466° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.3672873,"lon":-71.0814466,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

409

EA-1852: Cloud County Community College Wind Energy Project, Cloud County,  

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

2: Cloud County Community College Wind Energy Project, Cloud 2: Cloud County Community College Wind Energy Project, Cloud County, Kansas EA-1852: Cloud County Community College Wind Energy Project, Cloud County, Kansas Summary This EA evaluates the environmental impacts of a proposal to authorize the expenditure of federal funds by Cloud County Community College (CCCC) for a wind energy project. CCCC has installed three wind turbines and proposes to install a fourth turbine on their campus in Concordia, Kansas, for use in their wind energy training curriculum and to provide electricity for their campus. Public Comment Opportunities No public comment opportunities available at this time. Documents Available for Download January 10, 2011 EA-1852: Notice of Scoping Cloud County Community College Wind Energy Technology Project, Cloud

410

Cloud speed impact on solar variability scaling ?? Application to the wavelet variability model  

E-Print Network [OSTI]

Kleissl, J. , 2013. Deriving cloud velocity from an array ofCloud Speed Impact on Solar Variability Scaling -this work, we determine from cloud speeds. Cloud simulator

Lave, Matthew; Kleissl, Jan

2013-01-01T23:59:59.000Z

411

Making Great Posters for Research Applications  

E-Print Network [OSTI]

Making Great Posters for Research Applications November 2011 Kelvin Smith Library Creating the engine to drive the world's most powerful learning environment. #12;Purpose Purpose of a Poster grammatical errors, complex or passive sentence structure, and misspellings which make a poster "hard to read

Rollins, Andrew M.

412

Motor-Vehicle Industry in Great Britain  

Science Journals Connector (OSTI)

... ACCORDING to an article in Engineering of January 31, new registrations of private cars in Great Britain in the first seven months of 1940 totalled only 30,200 ... month as the result of the ban on sales except by special permit. Exports of private cars from the United Kingdom in 1931 numbered 17,104; in 1937 the figure ...

1941-03-29T23:59:59.000Z

413

Conservation Assessment for Great-spurred Violet  

E-Print Network [OSTI]

Conservation Assessment for Great-spurred Violet in the Black Hills National Forest, South Dakota Forest Service Rocky Mountain Region Black Hills National Forest Custer, South Dakota April 2003 #12. Reyher, and Carolyn Hull Sieg J. Hope Hornbeck is a Botanist with the Black Hills National Forest

414

TROPIC: Transactional Resource Orchestration Platform In the Cloud  

E-Print Network [OSTI]

TROPIC: Transactional Resource Orchestration Platform In the Cloud Changbin Liu, Yun Mao*, Xu Chen ­ InfrastructureasaService (IaaS) Cloud · Provide cloud infrastructure services: virtual machines (VMs), virtual block devices, VPNs · Widely adopted, e.g. Amazon Elastic Compute Cloud (EC2) ­ Cloud resource

Plotkin, Joshua B.

415

International Cloud Workshop, Locarno, Switzerland, 3 Feb 2009  

E-Print Network [OSTI]

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

Haak, Hein

416

Interconnecting Federated Clouds by Using Publish-Subscribe Service  

Science Journals Connector (OSTI)

Cloud Federation is an emerging computing model where multiple resources from independent Cloud providers are leveraged to create large-scale distributed virtual computing clusters, operating as into a single Cloud organization. This model enables the ... Keywords: Cloud Computing, Cloud Federation, Denial of Service, Intercommunication, Publish/Subscribe Service, Reliability

Christian Esposito; Massimo Ficco; Francesco Palmieri; Aniello Castiglione

2013-12-01T23:59:59.000Z

417

ARM - Measurement - Cloud particle size distribution  

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

size distribution size distribution 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 particle size distribution The number of cloud particles present in any given volume of air within a specified size range, including liquid and ice. 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 WSACR : Scanning ARM Cloud Radar, tuned to W-Band (95GHz) Field Campaign Instruments CPI : Cloud Particle Imager CLDAEROSMICRO : Cloud and Aerosol Microphysical Properties

418

Organizational challenges in cloud adoption and enablers of cloud transition program  

E-Print Network [OSTI]

With the proliferation of cloud computing, organizations have been able to get access to never seen before computing power and resources. Cloud computing has revolutionized the utilization of computing resources through ...

Rajendran, Sneha

2013-01-01T23:59:59.000Z

419

A Global Climatology of Outgoing Longwave Spectral Cloud Radiative Effect and Associated Effective Cloud Properties  

Science Journals Connector (OSTI)

Longwave (LW) spectral flux and cloud radiative effect (CRE) are important for understanding the earths radiation budget and cloudradiation interaction. Here, the authors extend their previous algorithms to collocated Atmospheric Infrared ...

Xianglei Huang; Xiuhong Chen; Gerald L. Potter; Lazaros Oreopoulos; Jason N. S. Cole; Dongmin Lee; Norman G. Loeb

2014-10-01T23:59:59.000Z

420

CloudML : A DSL for model-based realization of applications in the cloud.  

E-Print Network [OSTI]

??Cloud Computing offers a vast amount of resources, available for end users on a pay-as-you-go basis. The opportunity to choose between several cloud providers is (more)

Brandtzg, Eirik

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "great plains 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

Complete Fuel Combustion for Diesel Engines Resulting in Greatly...  

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

Complete Fuel Combustion for Diesel Engines Resulting in Greatly Reduced Emissions and Improved Fuel Efficiency Complete Fuel Combustion for Diesel Engines Resulting in Greatly...

422

Obama Administration and Great Lakes States Announce Agreement...  

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

and Great Lakes States Announce Agreement to Spur Development of Offshore Wind Projects Obama Administration and Great Lakes States Announce Agreement to Spur Development of...

423

Multilayered YSZ/GZO films with greatly enhanced ionic conduction...  

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

YSZGZO films with greatly enhanced ionic conduction for low temperature solid oxide fuel cells. Multilayered YSZGZO films with greatly enhanced ionic conduction for...

424

EIS-0499: Great Northern Transmission Line Project, Minnesota...  

Energy Savers [EERE]

EIS-0499: Great Northern Transmission Line Project, Minnesota EIS-0499: Great Northern Transmission Line Project, Minnesota SUMMARY This EIS will evaluate the potential...

425

Prediction of Cloud Points of Biodiesel  

Science Journals Connector (OSTI)

Prediction of Cloud Points of Biodiesel ... Despite the lack of accurate data for the cloud points of biodiesel, the results obtained here allow for an adequate evaluation of the model proposed, showing that it can produce good predictions of the cloud points of mixtures of fatty acid esters. ... Because of its environmental benefits, resulting from a decrease in CO2 emissions, its origin from renewable resources, and the increase in crude oil costs, biodiesel is become increasingly attractive. ...

J. C. A. Lopes; L. Boros; M. A. Krhenbhl; A. J. A. Meirelles; J. L. Daridon; J. Pauly; I. M. Marrucho; J. A. P. Coutinho

2007-10-09T23:59:59.000Z

426

Analysis of cloud layer structure in Shouxian, China using RS92 radiosonde aided by 95 GHz cloud radar  

E-Print Network [OSTI]

Analysis of cloud layer structure in Shouxian, China using RS92 radiosonde aided by 95 GHz cloud to analyze cloud vertical structure over this area by taking advantage of the first direct measurements of cloud vertical layers from the 95 GHz radar. Singlelayer, twolayer, and threelayer clouds account for 28

Li, Zhanqing

427

Great Lakes Biofuels LLC | Open Energy Information  

Open Energy Info (EERE)

Great Lakes Biofuels LLC Great Lakes Biofuels LLC Place Madison, Wisconsin Zip 53704 Sector Services Product Biodiesel research, consulting, management distribution and services company. Coordinates 43.07295°, -89.386694° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.07295,"lon":-89.386694,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

428

Technical Sessions Parameterization of Convective Clouds, Mesoscale...  

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

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

429

Radiative Effects of Cloud Inhomogeneity and  

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

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

430

The Magellan Final Report on Cloud Computing  

E-Print Network [OSTI]

supported images and site security policies. A cloud systemcertain implications on site security policies. Our securityactivitiesboth in terms of site security policy as well as

Coghlan, Susan

2013-01-01T23:59:59.000Z

431

An Analysis of Cloud Absorption During  

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

Analysis of Cloud Absorption During ARESE II (Spring 2000) D. M. Powell, R. T. Marchand, and T. P. Ackerman Pacific Northwest National Laboratory Richland, Washington Introduction...

432

Automated Security Compliance Tool for the Cloud.  

E-Print Network [OSTI]

?? Security, especially security compliance, is a major concern that is slowing down the large scale adoption of cloud computing in the enterprise environment. Business (more)

Ullah, Kazi Wali

2012-01-01T23:59:59.000Z

433

Cloud Computing and Sustainability: Energy Efficiency Aspects.  

E-Print Network [OSTI]

?? Cloud computing promises a new era of service delivery and deployment in such a way that every person can access any kind of services (more)

Gholamhosseinian, Ashkan

2012-01-01T23:59:59.000Z

434

Tropical Cloud Life Cycle and Overlap Structure  

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

Tropical Cloud Life Cycle and Overlap Structure Vogelmann, Andrew Brookhaven National Laboratory Jensen, Michael Brookhaven National Laboratory Kollias, Pavlos Brookhaven National...

435

Cloud Computing Organizational Benefits: A Managerial concern.  

E-Print Network [OSTI]

??Context: Software industry is looking for new methods and opportunities to reduce the project management problems and operational costs. Cloud Computing concept is providing answers (more)

Mandala, Venkata

2012-01-01T23:59:59.000Z

436

Cloud Computing - Trends and Performance Issues.  

E-Print Network [OSTI]

??Context: Cloud Computing is a very fascinating concept these days, it is attracting so many organiza-tions to move their utilities and applications into a dedicated (more)

Al-Refai, Ali

2011-01-01T23:59:59.000Z

437

Migrating enterprise storage applications to the cloud.  

E-Print Network [OSTI]

??Cloud computing has emerged as a model for hosting computing infrastructure and outsourcing management of that infrastructure. It offers the promise of simplified provisioning and (more)

Vrable, Michael Daniel

2011-01-01T23:59:59.000Z

438

Testing a cloud application: IBM SmartCloud inotes: methodologies and tools  

Science Journals Connector (OSTI)

IBM SmartCloud is a branded collection of Cloud products and solutions from IBM. It includes Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS) offered through public, private and hybrid cloud delivery ... Keywords: Software testing, methodology, tool

Michael Lynch; Thomas Cerqueus; Christina Thorpe

2013-07-01T23:59:59.000Z

439

AirCloud: a cloud-based air-quality monitoring system for everyone  

Science Journals Connector (OSTI)

We present the design, implementation, and evaluation of AirCloud -- a novel client-cloud system for pervasive and personal air-quality monitoring at low cost. At the frontend, we create two types of Internet-connected particulate matter (PM2:5) ... Keywords: PM2.5, air quality, client-cloud calibration system

Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Yilong Li, Ji Jia, Xiaofan Jiang

2014-11-01T23:59:59.000Z

440

Cloud-Top Temperatures for Precipitating Winter Clouds JAY W. HANNA  

E-Print Network [OSTI]

1 Cloud-Top Temperatures for Precipitating Winter Clouds JAY W. HANNA NOAA/NESDIS Satellite for each precipitation type, as well as light, moderate and heavy snow and rain. The light the cloud microphysics in producing precipitation. For example, ice will only nucleate from the vapor phase

Schultz, David

Note: This page contains sample records for the topic "great plains 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

X:\ARM_19~1\PGS1-8.WPD  

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

Boundary-Layer Cloud Study Using Southern Great Boundary-Layer Cloud Study Using Southern Great Plains Cloud and Radiation Testbed (CART) Data B. Albrecht, G. Mace, X. Dong, W. Syrett, and T. Ackerman Pennsylvania State University, Department of Meteorology University Park, Pennsylvania Introduction Boundary layer clouds-stratus and fairweather cumulus- are closely coupled to the water and energy budgets of land surfaces. This coupling involves the radiative impact of the clouds on the surface energy budget and the strong dependence of cloud formation and maintenance on the turbulent fluxes of heat and moisture in the boundary layer. The continuous data collection at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site provides a unique opportunity to study components of the coupling processes associated with boundary layer clouds

442

Contribution of Microbial Activity to Carbon Chemistry in Clouds  

Science Journals Connector (OSTI)

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

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

2009-10-23T23:59:59.000Z

443

V-041: Red Hat CloudForms Multiple Vulnerabilities | Department...  

Energy Savers [EERE]

V-041: Red Hat CloudForms Multiple Vulnerabilities V-041: Red Hat CloudForms Multiple Vulnerabilities December 6, 2012 - 4:01am Addthis PROBLEM: Red Hat CloudForms Multiple...

444

Building mobile multimedia services: a hybrid cloud computing approach  

Science Journals Connector (OSTI)

Second, we use a hybrid cloud computing...strategy. That means the i5Cloud takes advantage of in-house commodity hardware infrastructure which is usually available in most organizations, ... , i5Cloud can automat...

Dejan Kovachev; Yiwei Cao; Ralf Klamma

2014-05-01T23:59:59.000Z

445

E-Cloud Build-up in Grooved Chambers  

E-Print Network [OSTI]

and F. Zimmermann, LC e-Cloud Activities at CERN, talkal. , Simulations of the Electron Cloud for Vari- ous Con?E-CLOUD BUILD-UP IN GROOVED CHAMBERS ? M. Venturini LBNL,

Venturini, Marco

2007-01-01T23:59:59.000Z

446

A cloud-assisted design for autonomous driving  

E-Print Network [OSTI]

This paper presents Carcel, a cloud-assisted system for autonomous driving. Carcel enables the cloud to have access to sensor data from autonomous vehicles as well as the roadside infrastructure. The cloud assists autonomous ...

Suresh Kumar, Swarun

447

Deriving cloud velocity from an array of solar radiation measurements  

E-Print Network [OSTI]

K. , 2011. US20110060475. Cloud tracking. U.S. Patent Bedka,technique for obtaining cloud motion from geosynchronouson advection of a frozen cloud field (Chow et al. (2011);

Bosch, J.L.; Zheng, Y.; Kleissl, J.

2013-01-01T23:59:59.000Z

448

Assessing the Vegetation Condition Impacts of the 2011 Drought Across the U.S. Southern Great Plains Using the Vegetation Drought Response Index (VegDRI)  

Science Journals Connector (OSTI)

The Vegetation Drought Response Index (VegDRI), which combines traditional climate- and satellite-based approaches for assessing vegetation conditions, offers new insights into assessing the impacts of drought from local to regional scales. In ...

Tsegaye Tadesse; Brian D. Wardlow; Jesslyn Brown; Michael Hayes; Mark Svoboda; Brian Fuchs; Denise Gutzmer

449

A statistical survey of convective activity for selected stations of the Great Plains Region in the United States for the years 1958 through 1962  

E-Print Network [OSTI]

1958- 1962 were collected for Tinker A . F. B. , Oklahoma, Forbes A . F. B. , Kansas, and Offutt A . F . B. , Nebraska . The period 16 March ? 15 September of each year was selected for the study due to the max1mal frequency of occurrence... would encompass a region descr1bed by Oklahoma on the south, North Dakota to the north, Colorado in the west, and Iowa on the east . Tinker A. F . B. , Oklahoma, Forbes A . F . B. , Kansas, and Offutt A . F . B. , Nebraska were chosen as representat1...

Stripling, Grady Duke

2012-06-07T23:59:59.000Z

450

Grassland carbon and nitrogen dynamics: effects of seasonal fire and clipping in a mixed-grass prairie of the southern great plains  

E-Print Network [OSTI]

influenced by climate. They may also be modulated by the timing and intensity of disturbances such as fire and clipping. We assessed the relative influence of climate and disturbance on plant community and soil C and N dynamics. Combined effects of fire...

Harris, Wylie Neal

2006-08-16T23:59:59.000Z

451

Sediments in marsh ponds of the Gulf Coast Chenier Plain: effects of structural marsh management and salinity  

E-Print Network [OSTI]

Sediments in marsh ponds of the Gulf Coast Chenier Plain: effects of structural marsh management: impoundments, marsh sediments, ponds, salinity Abstract Physical characteristics of sediments in coastal marsh compositions of waterbird communities. Sediments in marsh ponds of the Gulf Coast Chenier Plain potentially

Afton, Alan D.

452

Onset of deep drainage and salt mobilization following forest clearing and cultivation in the Chaco plains (Argentina)  

E-Print Network [OSTI]

plains (Argentina) M. L. Amdan,1 R. Aragon,2,3 E. G. Jobbagy,3 J. N. Volante,4 and J. M. Paruelo1-fed agriculture and pasture, with different age of clearance (>30 years, 20 and 3 years) in Salta, Argentina, we drainage and salt mobilization following forest clearing and cultivation in the Chaco plains (Argentina

Nacional de San Luis, Universidad

453

Coal petrographic genetic units in deltaic-plain deposits of the Campanian Mesa Verde Group (New Mexico, USA)  

E-Print Network [OSTI]

Coal petrographic genetic units in deltaic-plain deposits of the Campanian Mesa Verde Group (New stratigraphy; Coal; Maceral analysis; Microlithotype Abstract The Campanian rocks of the Mesa Verde Group units, i.e. intermediate term cycles. The continental facies consist of coastal-plain deposits (coals

Paris-Sud XI, Université de

454

The Impact of Energy Shortage and Cost on Irrigation for the High Plains and Trans Pecos Regions of Texas  

E-Print Network [OSTI]

Plains and Trans Pecos regional economies is much greater than these statistics show. On the High Plains 86 percent of the cotton, 90 percent of the grain sorghum, and 75 percent of the wheat produced in 1974 was harvested from irrigated acreage. Rainfall...

Lacewell, R. D.; Condra, G. D.; Hardin, D. C.; Zavaleta, L.; Petty, J. A.

1978-01-01T23:59:59.000Z

455

Electron Cloud Effects in Accelerators  

SciTech Connect (OSTI)

Abstract We present a brief summary of various aspects of the electron-cloud effect (ECE) in accelerators. For further details, the reader is encouraged to refer to the proceedings of many prior workshops, either dedicated to EC or with significant EC contents, including the entire ?ECLOUD? series [1?22]. In addition, the proceedings of the various flavors of Particle Accelerator Conferences [23] contain a large number of EC-related publications. The ICFA Beam Dynamics Newsletter series [24] contains one dedicated issue, and several occasional articles, on EC. An extensive reference database is the LHC website on EC [25].

Furman, M.A.

2012-11-30T23:59:59.000Z

456

Physical Properties of High-Level Cloud over Land and Ocean from CloudSatCALIPSO Data  

Science Journals Connector (OSTI)

Unlike other cloud types, high-level clouds play an important role, often imposing a warming effect, in the earthatmosphere 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

457

Microsoft Word - Clouds of Changing Times Lesson- print!.doc  

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

white paper (about 5 sheets) * 11" x 14" plain white paper (1 sheet) * Scissors * Cotton balls, glitter (optional) * Paper and pencil to record interviews Important Points to...

458

Network Performance of a Video Application in the Cloud.  

E-Print Network [OSTI]

??Cloud computing is a technology that uses the internet and central remote servers to maintain data and applications. There are different cloud services of which (more)

NARISETTY, SHRAVAN

2012-01-01T23:59:59.000Z

459

Detecting Cirrus-Overlapping-Water Clouds and Retrieving their...  

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

channel (0.6 m) to retrieve cloud optical depth. Both channels are common to all weather satellite sensors. Because cirrus clouds are mostly semitransparent at infrared...

460

Overview of the COPS Aerosol and Cloud Microphysics (ACM) Subgroup...  

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

properties of orographically induced clouds and how do these depend on dynamics, thermodynamics, and aerosol microphysics? * What is the role of aerosols and changing cloud...

Note: This page contains sample records for the topic "great plains 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

Direct Numerical Simulations and Robust Predictions of Cloud...  

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

the center of the bubble cloud. Credit: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland Direct Numerical Simulations and Robust Predictions of Cloud...

462

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

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

Cloud-Resolving Model Simulation and Mosaic Treatment Cloud-Resolving Model Simulation and Mosaic Treatment of Subgrid Cloud-Radiation Interaction X. Wu Department of Geological and Atmospheric Sciences Iowa State University Ames, Iowa X.-Z. Liang Illinois State Water Survey University of Illinois at Urbana-Champaign Champaign, Illinois Introduction Improving the representation of cloud-radiation interaction is a major challenge for the global climate simulation. The development of cloud-resolving models (CRMs) and the extensive Atmospheric Radiation Measurements (ARMs) provide a unique opportunity for shading some lights on this problem. Current general circulation models (GCMs) predict cloud cover fractions and hydrometeor concentra- tions only in individual model layers, where clouds are assumed to be horizontally homogeneous in a

463

Smoking Rain Clouds over the Amazon  

Science Journals Connector (OSTI)

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

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

2004-02-27T23:59:59.000Z

464

2, 20952131, 2002 Below-cloud aerosol  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

465

Cloud Properties and Precipitation Formation Processes Observed  

E-Print Network [OSTI]

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

Delene, David J.

466

Atmospheric chemistry: Thwarting the seeds of clouds  

Science Journals Connector (OSTI)

... The ephemeral cloud of tiny drops that you see above the spout of your teapot forms in the same way as clouds in the sky by the condensation of ... the number of nanometre-sized particles formed through nucleation, similar to what happens above the teapot, except that organic molecules rather than water molecules are involved. ...

Paul J. Ziemann

2009-09-16T23:59:59.000Z

467

Public Cloud B CarbonEmission  

E-Print Network [OSTI]

Sensors, Demand Prediction Power Capping, Green Software Services such as energy-efficient scientific) Request a Cloud service 4) Allocate service 5) Request service allocation 3) Request energy efficiency information Green Offer Directory 2) Request any `Green Offer' Routers Internet Green Broker #12;Cloud

Buyya, Rajkumar

468

The CloudNets Network Virtualization Architecture  

E-Print Network [OSTI]

Nets Network Virtualization Architecture Johannes Grassler jgrassler@inet.tu-berlin.de 05. Februar, 2014 Johannes Grassler jgrassler@inet.tu-berlin.de The CloudNets Network Virtualization Architecture #12;..... . .... . .... . ..... . .... . .... . .... . ..... . .... . .... . .... . ..... . .... . .... . .... . ..... . .... . ..... . .... . .... . Johannes Grassler jgrassler@inet.tu-berlin.de The CloudNets Network Virtualization Architecture #12

Schmid, Stefan

469

GIANT MOLECULAR CLOUD FORMATION IN DISK GALAXIES: CHARACTERIZING SIMULATED VERSUS OBSERVED CLOUD CATALOGS  

SciTech Connect (OSTI)

We present the results of a study of simulated giant molecular clouds (GMCs) formed in a Milky Way-type galactic disk with a flat rotation curve. This simulation, which does not include star formation or feedback, produces clouds with masses ranging between 10{sup 4} M{sub ?} and 10{sup 7} M{sub ?}. We compare our simulated cloud population to two observational surveys: the Boston University-Five College Radio Astronomy Observatory Galactic Ring Survey and the BIMA All-Disk Survey of M33. An analysis of the global cloud properties as well as a comparison of Larson's scaling relations is carried out. We find that simulated cloud properties agree well with the observed cloud properties, with the closest agreement occurring between the clouds at comparable resolution in M33. Our clouds are highly filamentarya property that derives both from their formation due to gravitational instability in the sheared galactic environment, as well as to cloud-cloud gravitational encounters. We also find that the rate at which potentially star-forming gas accumulates within dense regionswherein n{sub thresh} ? 10{sup 4} cm{sup 3}is 3% per 10 Myr, in clouds of roughly 10{sup 6} M{sub ?}. This suggests that star formation rates in observed clouds are related to the rates at which gas can be accumulated into dense subregions within GMCs via filamentary flows. The most internally well-resolved clouds are chosen for listing in a catalog of simulated GMCsthe first of its kind. The cataloged clouds are available as an extracted data set from the global simulation.

Benincasa, Samantha M.; Pudritz, Ralph E.; Wadsley, James [Department of Physics and Astronomy, McMaster University, Hamilton, ON L8S 4M1 (Canada); Tasker, Elizabeth J. [Department of Physics, Faculty of Science, Hokkaido University, Kita-ku, Sapporo 060-0810 (Japan)

2013-10-10T23:59:59.000Z

470

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

471

Nailing Down Ice in a Cloud Model  

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

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

472

1  

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

Statistical Formulations of Cloud Inhomegeneity Statistical Formulations of Cloud Inhomegeneity Parameters Over the Southern Great Plains Z. N. Kogan, Y. L. Kogan, and D. Mechem Cooperative Institute of Mesoscale Meteorogical Studies University of Oklahoma Norman, Oklahoma Introduction Lack of data on cloud variability is one of the main reasons most current climate models consider clouds as plane-parallel, horizontally homogeneous combinations of cloudy and clear portions defined by cloud fraction. Accounting for cloud inhomogeneity should significantly increase the accuracy of calculations of radiative properties. Unique information on cloud internal variability can be obtained using data from the Atmospheric Radiation Measurement (ARM) observational platforms, in particular cloud reflectivity

473

Potential Oil Production from the Coastal Plain of the Arctic National  

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

Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment Preface Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment is a product of the Energy Information Administration’s (EIA) Reserves and Production Division. EIA, under various programs, has assessed foreign and domestic oil and gas resources, reserves, and production potential. As a policy-neutral agency, EIA’s standard analysis of the potential of the Alaska North Slope (ANS) has focused on the areas without exploration and development restrictions. EIA received a letter (dated March 10, 2000) from Senator Frank H. Murkowski as Chairman of the Senate Committee on Energy and Natural Resources requesting an EIA Service Report "with plausible scenarios for ANWR supply development consistent with the most recent U.S. Geological Survey resource assessments." This service report is prepared in response to the request of Senator Murkowski. It focuses on the ANWR coastal plain, a region currently restricted from exploration and development, and updates EIA’s 1987 ANWR assessment.

474

Cotton Yield Mapping and Guidance Systems on the Texas High Plains  

E-Print Network [OSTI]

Cotton Yield Mapping and Guidance Systems on the Texas High Plains Randy Boman, Alan Brashears variability. A yield mapping system measures and records the amount of cotton being harvested at any point in the transport posi- tion. This system has the advantage of directly measuring the harvested cotton in the basket

Mukhtar, Saqib

475

Cotton Performance Tests in the Texas High Plains and Trans-Pecos Areas of Texas 20081/  

E-Print Network [OSTI]

Cotton Performance Tests in the Texas High Plains and Trans-Pecos Areas of Texas 20081/ J.K. Dever; Area Agronomist-Cotton, Extension Entomologist, Texas AgriLife Extension, Lubbock; Research Scientist......................................................................................................................... 6 Table UNIFORM COTTON VARIETY TESTS - IRRIGATED Lubbock 1 Production Information

Mukhtar, Saqib

476

Cotton Performance Tests in the Texas High Plains and Trans-Pecos Areas of Texas 20071/  

E-Print Network [OSTI]

Cotton Performance Tests in the Texas High Plains and Trans-Pecos Areas of Texas 20071/ J, Lubbock; Area Agronomist-Cotton, Extension Program Specialist, Texas AgriLife Extension, Lubbock; Research......................................................................................................................... 6 Table COTTON VARIETY TESTS - IRRIGATED Lamesa 1 Production Information

Mukhtar, Saqib

477

On the fast track: Collaboration expedites adoption of efficient irrigation technologies in the High Plains  

E-Print Network [OSTI]

12 tx H2O Summer 2013 Story by Leslie Lee ] The High Plains of Texas have been nagged by severe drought for two years straight, with very li#22;le rainfall or relief from harsh weather. As agriculture producers in the region use every tool...

Lee, Leslie

2013-01-01T23:59:59.000Z

478

plains the overall dynamical behavior of the nitrogen-Chlorella-Brachionus system; a sim-  

E-Print Network [OSTI]

plains the overall dynamical behavior of the nitrogen-Chlorella-Brachionus system; a sim- ple day; 0.4 per day; 0.25 (17). We took bC to be the highest at which Chlorella can maintain a stable

Rohani, Pejman

479

Seasonal controls on sediment delivery in a small coastal plain watershed, North Carolina, USA  

E-Print Network [OSTI]

Seasonal controls on sediment delivery in a small coastal plain watershed, North Carolina, USA of drainage ditch sedimentation and suspended sediment transport were used to construct a simple sediment to sediment dynamics in a small agricultural watershed in North Carolina. Results indicate that seasonal

Lecce, Scott A.

480

The Garden of the Coastal Plain P. O. Box 8039, 1505 Bland Avenue  

E-Print Network [OSTI]

The Garden of the Coastal Plain P. O. Box 8039, 1505 Bland Avenue Statesboro, Georgia 30460 912.871 Cottage and an open-air Heritage Pavilion. CALL. Contact the Garden (912-871-1149) after your visit, 1505 Bland Avenue Statesboro, Georgia 30460 912.871.1149 I have read and understand the Facility Rental

Hutcheon, James M.

Note: This page contains sample records for the topic "great plains 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

UPPER DES PLAINES RIVER AND TRIBUTARIES, IL & WI FLOOD RISK MANAGEMENT AND ECOSYSTEM RESTORATION PROJECT  

E-Print Network [OSTI]

risk to residential and commercial structures and restore impaired aquatic ecosystems in the watershedUPPER DES PLAINES RIVER AND TRIBUTARIES, IL & WI FLOOD RISK MANAGEMENT AND ECOSYSTEM RESTORATION / National Ecosystem Restoration (NED/NER) Plan. The Recommended Plan includes five structural flood risk

US Army Corps of Engineers

482

Potential Oil Production from the Coastal Plain of the Arctic National  

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

Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment 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 Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment, was prepared for the U.S. Senate Committee on Energy and Natural Resources at the request of Chairman Frank H. Murkowski in a letter dated March 10, 2000. The request asked the Energy Information Administration (EIA) to develop plausible scenarios for Arctic National Wildlife Refuge (ANWR) supply development consistent with the most recent U.S. Geological Survey (USGS) resource assessments. This report contains EIA projections of future daily production rates using recent USGS resource estimates. The Coastal Plain study area includes 1.5 million acres in the ANWR 1002 Area, 92,000 acres of Native Inupiat lands and State of Alaska offshore lands out to the 3-mile limit which are expected to be explored and developed if and when ANWR is developed. (Figure ES1) About 26 percent of the technically recoverable oil resources are in the Native and State lands.

483

Multi Cloud Architecture to Provide Data Security And Integrity  

E-Print Network [OSTI]

Abstract-- Cloud servers are being used to store data and application but its security is a major issue in current context. To solve the data security problems in public environment we propose an effective model for security and integrity of data stored in a cloud, through data segmentation followed by data encryption programs in a multiple cloud architecture. This architecture forms a multi cloud system where primary cloud is available for multiple users for data storage offering lesser load on client systems thereby using the cloud computing architecture. This architecture introduces a secondary cloud controlled by a single administrator which provides the data backup for primary cloud after undergoing specific segmentation and encryption algorithms to ensure security and integrity of data. The proposed system also offers protection against virus attacks by using linux as the base OS. Keywords-- Encryption, Linux, Multi cloud system, Primary cloud, Secondary cloud, Segmentation.

Nikhil Dutta; Himanshu Bakshi; Mujammill Mulla; Viraj Shinde

484

ARM - Feature Stories and Releases Article  

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

November 14, 2011 [Feature Stories and Releases] November 14, 2011 [Feature Stories and Releases] New Study Reveals and Quantifies Magnitude of Long-term Aerosol Effects on Clouds and Precipitation Bookmark and Share Cloud radars measure an incoming storm at the ARM Southern Great Plains site in Oklahoma. Cloud radars measure an incoming storm at the ARM Southern Great Plains site in Oklahoma. 10 years of data from ARM Southern Great Plains site corroborate satellite measurements; match model A study published in Nature Geoscience this week reveals a trend that atmospheric scientists have been mulling for decades: the effects of aerosols on clouds and rainfall. Some studies have suggested that aerosols-tiny particles in the air, such as dust and soot-may make clouds "drier" while others studies suggest they may intensify storm

485

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

486

Great River Energy (28 Member Cooperatives) - Commercial and Industrial  

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

Great River Energy (28 Member Cooperatives) - Commercial and Great River Energy (28 Member Cooperatives) - Commercial and Industrial Efficiency Rebates Great River Energy (28 Member Cooperatives) - Commercial and Industrial Efficiency Rebates < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Manufacturing Water Heating Program Info Funding Source Great River Energy State Minnesota Program Type Utility Rebate Program Rebate Amount Varies by measure and member cooperative offering. Provider Great River Energy Great River Energy, a generation and transmission cooperative which serves

487

ATLAS Cloud Computing R&D project  

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; Ohman, H; Paterson, M; Sobie, R; Taylor, R; Walker, R; Zaytsev, A

2013-01-01T23:59:59.000Z

488

Cluster Formation in Contracting Molecular Clouds  

E-Print Network [OSTI]

We explore, through a simplified, semi-analytic model, the formation of dense clusters containing massive stars. The parent cloud spawning the cluster is represented as an isothermal sphere. This sphere is in near force balance between self-gravity and turbulent pressure. Self-gravity, mediated by turbulent dissipation, drives slow contraction of the cloud, eventually leading to a sharp central spike in density and the onset of dynamical instability. We suggest that, in a real cloud, this transition marks the late and rapid production of massive stars. We also offer an empirical prescription, akin to the Schmidt law, for low-mass star formation in our contracting cloud. Applying this prescription to the Orion Nebula Cluster, we are able to reproduce the accelerating star formation previously inferred from the distribution of member stars in the HR diagram. The cloud turns about 10 percent of its mass into low-mass stars before becoming dynamically unstable. Over a cloud free-fall time, this figure drops to 1 percent, consistent with the overall star formation efficiency of molecular clouds in the Galaxy.

Eric Huff; Steven Stahler

2007-08-07T23:59:59.000Z

489

Great Lakes Energy Coop | Open Energy Information  

Open Energy Info (EERE)

Energy Coop Energy Coop Jump to: navigation, search Name Great Lakes Energy Coop Place Michigan Utility Id 38084 Utility Location Yes Ownership C NERC Location MRO NERC RFC Yes Operates Generating Plant Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Alternative - Residential Residential Commercial and Industrial Loads Automated Power Monitoring Commercial Commercial and Industrial Loads Automated Power Monitoring - 200kW Commercial Commercial and industrial Loads Automated Power Monitoring Industrial Controlled Heating Commercial Controlled Water Heater - Opt 1 Commercial

490

Great Valley Ethanol LLC | Open Energy Information  

Open Energy Info (EERE)

Valley Ethanol LLC Valley Ethanol LLC Jump to: navigation, search Name Great Valley Ethanol LLC Place Bakersfield, California Product Developing a 63m gallon ethanol plant in Hanford, CA Coordinates 44.78267°, -72.801369° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.78267,"lon":-72.801369,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

491

HUBZone, Great Opportunity for Small Businesses  

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

For Immediate Release HUBZone, Great Opportunity for Small Businesses CARLSBAD, N.M., March 25, 2003 - To help the region's small businesses attract federal and state work, Washington TRU Solutions LLC (WTS) will offer a Small Business Fair on May 2 in Carlsbad to introduce the U.S. Small Business Administration's (SBA) HUBZone concept and other socioeconomic programs. WTS is the prime contractor for the U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant (WIPP). A HUBZone (Historically Underutilized Business Zone) is a geographic area designated by the SBA as economically depressed based on a ratio of population versus business volume in the area. What that means for regional businesses that qualify is an enhanced opportunity to participate in state and federal government contracts they might not ordinarily be

492

ARM - Midlatitude Continental Convective Clouds  

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

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

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

493

Retrieval of Aerosol Optical Depth in Vicinity of Broken Clouds from Reflectance Ratios: Sensitivity Study  

SciTech Connect (OSTI)

We conducted a sensitivity study to better understand the potential of a new method for retrieving aerosol optical depth (AOD) under partly cloudy conditions. This method exploits reflectance ratios in the visible spectral range and provides an effective way to avoid three-dimensional (3D) cloud effects. The sensitivity study is performed for different observational conditions and random errors in input data. The results of the sensitivity study suggest that this ratio method has the ability to detect clear pixels even in close proximity to clouds. Such detection does not require a statistical analysis of the two-dimensional (2D) horizontal distribution of reflected solar radiation, and thus it could be customized for operational retrievals. In comparison with previously suggested approaches, the ratio method has the capability to increase the "harvest" of clear pixels. Similar to the traditional Independent Pixel Approximation (IPA), the ratio method has a low computational cost for retrieving AOD. In contrast to the IPA method, the ratio method provides much more accurate estimations of the AOD values under broken cloud conditions: pixel-based and domain-averaged estimations of errors in AOD are about 25% and 10%, respectively. Finally, both the ratio-based cloud screening and the accuracy of domain-averaged ratio-based AOD values do not suffer greatly when 5% random errors are introduced in the reflectances.

Kassianov, Evgueni I.; Ovtchinnikov, Mikhail; Berg, Larry K.; McFarlane, Sally A.; Flynn, Connor J.

2009-09-01T23:59:59.000Z

494

Cloud-Based Transportation Management System Delivers Savings  

Broader source: Energy.gov [DOE]

DOEs cloud based transportation management system (ATLAS) offers dramatically enhanced capabilities and modernization.

495

Virtual Cloud: Rent Out the Rented Resources Sheheryar Malik  

E-Print Network [OSTI]

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

Boyer, Edmond

496

CLOUD PHYSICS From aerosol-limited to invigoration  

E-Print Network [OSTI]

CLOUD PHYSICS From aerosol-limited to invigoration of warm convective clouds Ilan Koren,1 * Guy Dagan,1 Orit Altaratz1 Among all cloud-aerosol interactions, the invigoration effect is the most elusive. Most of the studies that do suggest this effect link it to deep convective clouds with a warm base

Napp, Nils

497

CLOUD DROPLET NUCLEATION AND ITS CONNECTION TO AEROSOL PROPERTIES  

E-Print Network [OSTI]

CLOUD DROPLET NUCLEATION AND ITS CONNECTION TO AEROSOL PROPERTIES STEPHEN E. SCHWARTZ Environmental in cloud-free conditions and indirectly, by increasing concentratiol1S of cloud droplets thereby enhancing cloud shortwave reflectivity. These effecls are thought to be significant in the context of changes

498

Low Cost, Scalable Proteomics Data Analysis Using Amazon's Cloud  

E-Print Network [OSTI]

Low Cost, Scalable Proteomics Data Analysis Using Amazon's Cloud Computing Services and Open and maintain. #12;Cloud Computing · Distributed or Cloud computing allows for the use of virtual computers Web Services (AWS) · EC2 ­ Amazon Elastic Compute Cloud "a web service that provides resizable compute

499

Cloud Computing Ch Zh XCheng-Zhong Xu  

E-Print Network [OSTI]

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

Xu, Cheng-Zhong

500

Depolarisation cooling of an atomic cloud  

E-Print Network [OSTI]

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

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

2005-05-13T23:59:59.000Z