National Library of Energy BETA

Sample records for total cloud cover

  1. Estimation of total cloud cover from solar radiation observations at Lake Rotorua, New Zealand

    SciTech Connect (OSTI)

    Luo, Liancong; Hamilton, David; Han, Boping

    2010-03-15

    The DYRESM-CAEDYM model is a valuable tool for simulating water temperature for biochemical studies in aquatic ecosystem. The model requires inputs of surface short-wave radiation and long-wave radiation or total cloud cover fraction (TC). Long-wave radiation is often not measured directly so a method to determine TC from commonly measured short-wave solar irradiance (E{sub 0}) and theoretical short-wave solar irradiance under a clear sky (E{sub c}) has broad application. A more than 17-year (15 November 1991 to 20 February 2009) hourly solar irradiance data set was used to estimate the peak solar irradiance for each ordinal date over one year, which was assumed to be representative of solar irradiance in the absence of cloud. Comparison between these daily observed values and the modelled clear-sky solar radiation over one year was in close agreement (Pearson correlation coefficient, r = 0.995 and root mean squared error, RMSE = 12.54 W m{sup -2}). The downloaded hourly cloudiness measurements from 15 November 1991 to 20 February 2009 was used to calculate the daily values for this period and then the calculated daily values over the 17 years were used to calculate the average values for each ordinal date over one year. A regression equation between (1 - E{sub 0}/E{sub c}) and TC produced a correlation coefficient value of 0.99 (p > 0.01, n = 71). The validation of this cloud cover estimation model was conducted with observed short-wave solar radiation and TC at two sites. Values of TC derived from the model at the Lake Rotorua site gave a reasonable prediction of the observed values (RMSE = 0.10, r = 0.86, p > 0.01, n = 61). The model was also tested at Queenstown (South Island of New Zealand) and it provided satisfactory results compared to the measurements (RMSE = 0.16, r = 0.67, p > 0.01, n = 61). Therefore the model's good performance and broad applicability will contribute to the DYRESM-CAEDYM accuracy of water temperature simulation when long-wave radiation is not available. (author)

  2. Decomposing aerosol cloud radiative effects into cloud cover, liquid water path and Twomey components

    E-Print Network [OSTI]

    Daniel, Rosenfeld

    Decomposing aerosol cloud radiative effects into cloud cover, liquid water path and Twomey December 2013 A method for separating the three components of the marine stratocumulus (MSC) aerosol cloud interactions radiative effects, i.e., the cloud cover, liquid water path (LWP) and cloud drop radius (Twomey

  3. Looking for the rainbow on exoplanets covered by liquid and icy water clouds

    E-Print Network [OSTI]

    Karalidi, T; Hovenier, J W

    2012-01-01

    Looking for the primary rainbow in starlight that is reflected by exoplanets appears to be a promising method to search for liquid water clouds in exoplanetary atmospheres. Ice water clouds, that consist of water crystals instead of water droplets, could potentially mask the rainbow feature in the planetary signal by covering liquid water clouds. Here, we investigate the strength of the rainbow feature for exoplanets that have liquid and icy water clouds in their atmosphere, and calculate the rainbow feature for a realistic cloud coverage of Earth. We calculate flux and polarization signals of starlight that is reflected by horizontally and vertically inhomogeneous Earth--like exoplanets, covered by patchy clouds consisting of liquid water droplets or water ice crystals. The planetary surfaces are black. On a planet with a significant coverage of liquid water clouds only, the total flux signal shows a weak rainbow feature. Any coverage of the liquid water clouds by ice clouds, however, dampens the rainbow fea...

  4. Climatological data for clouds over the globe from surface observations, 1982--1991: The total cloud edition

    SciTech Connect (OSTI)

    Hahn, C.J.; Warren, S.G.; London, J.

    1994-10-01

    Routine, surface synoptic weather reports from ships and land stations over the entire globe, for the ten-year period December 1981 through November 1991, were processed for total cloud cover and the frequencies of occurrence of clear sky, precipitation, and sky-obscured due to fog. Archived data, consisting of various annual, seasonal and monthly averages, are provided in grid boxes that are typically 2.5{degrees} {times} 2.5{degrees} for land and 5{degrees} {times} 5{degrees} for ocean. Day and nighttime averages are also given separately for each season. Several derived quantities, such as interannual variations and annual and diurnal harmonics, are provided as well. This data set incorporates an improved representation of nighttime cloudiness by utilizing only those nighttime observations for which the illuminance due to moonlight exceeds a specified threshold. This reduction in the night-detection bias increases the computed global average total cloud cover by about 2%. The impact on computed diurnal cycles is even greater, particularly over the oceans where is found, in contrast to previous surface-based climatologies, that cloudiness is often greater at night than during the day.

  5. ARM: Fractional cloud cover, clear-sky and all-sky shortwave flux for each of 25 individual SGP facilities.

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

    Krista Gaustad; Laura Riihimaki

    1997-01-01

    Fractional cloud cover, clear-sky and all-sky shortwave flux for each of 25 individual SGP facilities.

  6. ARM: Fractional cloud cover, clear-sky and all-sky shortwave flux for each of 25 individual SGP facilities.

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

    Krista Gaustad; Laura Riihimaki

    Fractional cloud cover, clear-sky and all-sky shortwave flux for each of 25 individual SGP facilities.

  7. DO AEROSOLS CHANGE CLOUD COVER AND AFFECT CLIMATE?

    E-Print Network [OSTI]

    Schwartz, Stephen E.

    IN MEXICO CITY BASIN Light scattering by aerosols decreases absorption of solar radiation. #12;AEROSOLS;AEROSOL INFLUENCES ON CLIMATE AND CLIMATE CHANGE #12;DMS #12;AEROSOL IN MEXICO CITY BASIN #12;AEROSOL AS SEEN FROM SPACE Fire plumes from southern Mexico transported north into Gulf of Mexico. #12;CLOUD

  8. Evaluation of MODIS snow cover and cloud mask and its application in Northern Xinjiang, China

    E-Print Network [OSTI]

    Texas at San Antonio, University of

    Evaluation of MODIS snow cover and cloud mask and its application in Northern Xinjiang, China in revised form 14 May 2007; accepted 26 May 2007 Abstract Using five-year (2001­2005) ground-observed snow the accuracy of the 8-day snow cover product (MOD10A2) from the Moderate Resolution Imaging Spectroradiometer

  9. Improving total column ozone retrievals by using cloud pressures derived from Raman scattering in the UV

    E-Print Network [OSTI]

    Joiner, Joanna

    Improving total column ozone retrievals by using cloud pressures derived from Raman scattering resolution, coverage, and sampling of the Aura satellite ozone monitoring instrument (OMI), as compared with the total ozone mapping spectrometer (TOMS) should allow for improved ozone retrievals. By default, the TOMS

  10. Saharan dust as a causal factor of hemispheric asymmetry in aerosols and cloud cover over the tropical Atlantic Ocean

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

    Kishcha, Pavel; Da Sliva, Arlindo; Starobinets, Boris; Long, Charles N.; Kalashnikova, Olga; Alpert, Pinhas

    2015-07-09

    Meridional distribution of aerosol optical thickness (AOT) over the tropical Atlantic Ocean (30°N – 30°S) was analyzed to assess seasonal variations of meridional AOT asymmetry. Ten-year MERRA Aerosol Reanalysis (MERRAero) data (July 2002 – June 2012) confirms that the Sahara desert emits a significant amount of dust into the atmosphere over the Atlantic Ocean. Only over the Atlantic Ocean did MERRAero show that desert dust dominates other aerosol species and is responsible for meridional aerosol asymmetry between the tropical North and South Atlantic. Over the 10-year period under consideration, both MISR measurements and MERRAero data showed a pronounced meridional AOTmore »asymmetry. The meridional AOT asymmetry, characterized by the hemispheric ratio (RAOT) of AOT averaged separately over the North and over the South Atlantic, was about 1.7. Seasonally, meridional AOT asymmetry over the Atlantic was the most pronounced between March and July, when dust presence is maximal (RAOT ranged from 2 to 2.4). There was no noticeable meridional aerosol asymmetry in total AOT from September to October. During this period the contribution of carbonaceous aerosols to total AOT in the South Atlantic was comparable to the contribution of dust aerosols to total AOT in the North Atlantic. During the same 10-year period, MODIS cloud fraction (CF) data showed that there was no noticeable asymmetry in meridional CF distribution in different seasons (the hemispheric ratio of CF ranged from 1.0 to 1.2). MODIS CF data illustrated significant cloud cover (CF of 0.7 – 0.9) with limited precipitation ability along the Saharan Air Layer.« less

  11. ARM: Gridded (0.25 x 0.25 lat/lon) fractional cloud cover, clear-sky and all-sky shortwave flux over the SGP site.

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

    Krista Gaustad; Laura Riihimaki

    Gridded (0.25 x 0.25 lat/lon) fractional cloud cover, clear-sky and all-sky shortwave flux over the SGP site.

  12. Clouds 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    Uncertainties associated with the microphysical and radiative properties of ice clouds remain an active research area because of the importance these clouds have in atmospheric radiative transfer problems and the energy balance of the Earth...

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

    E-Print Network [OSTI]

    Manning, Norman Willis William

    1997-01-01

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

  14. Clouds

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

    the radiative influence of mixed-phase clouds. Further, its impact on the development and evaluation of retrieval schemes from ground- and satellite-based remote sensors is...

  15. A comparative analysis of total lightning observations and cloud-to-ground lightning observations in the Southeastern United States region 

    E-Print Network [OSTI]

    Hugo, Keith Michael

    1998-01-01

    A comparison was performed employing lightning data aphics. collected by the Optical Transient Detector (OTD) satellite and the National Lightning Detection Network (NLDN). The feasibility of using total lightning flash data, both intracloud (IC...

  16. ARM - Measurement - Total cloud water

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments?govInstrumentsnoaacrnBarrow, Alaska Outreach Homepolarization ARMtotal downwellingalbedocloud water ARM

  17. Festuca viridula community Total plant cover (%) 80

    E-Print Network [OSTI]

    Franklin, Jerry

    100 74 Dodecatheon jeffreyi 71 4 Polygonum bistortoides 57 3 Salix geyeriana 43 9 Salix myrtillifolia

  18. EVENT CLOUDS : lighter than air architectural structures

    E-Print Network [OSTI]

    Peydro Duclos, Ignacio

    2014-01-01

    EVENT CLOUD is a versatile covering system that allows events to happen independently to weather conditions. It consists of a lighter than air pneumatic structure, filled either with helium or hot air, that covers spaces ...

  19. COVER3

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B LReports from the CloudGEGR-N Goods PO 1COOP NO. OFCOV

  20. Preface: Crowds and Clouds

    E-Print Network [OSTI]

    2012-01-01

    crowdsourcing, cloud computing, big data, and Internetdata include “cloud computing,” “algorithms,” “filters,” “cloud of claims about cloud computing and big data settle

  1. CLOUD FRACTION STATISTICS DERIVED FROM 2YEARS OF HIGH SPECTRAL RESOLUTION LIDAR DATA ACQUIRED AT EUREKA, CANADA.

    E-Print Network [OSTI]

    Eloranta, Edwin W.

    CLOUD FRACTION STATISTICS DERIVED FROM 2YEARS OF HIGH SPECTRAL RESOLUTION LIDAR DATA ACQUIRED(AHSRL) and the NOAA 8.6 mm wavelength cloud radar (MMCR). Both instruments have operated nearly continuously since Sept 2005. This paper presents a record of cloud cover, cloud altitude and cloud phase derived

  2. POTENTIAL OF CLOUD-BASED

    E-Print Network [OSTI]

    Lee, Jason R.

    .!! Cover!photos!courtesy!of!the!National!Energy!Research!Scientific!Computing!Center!and!Google.! #12;! ! ! The Energy Efficiency Potential of Cloud-Based Software: A U.S. Case Study ! Lawrence Berkeley National Laboratory June, 2013 Research Team Eric!Masanet! Arman!Shehabi! Jiaqi!Liang! Lavanya!Ramakrishnan! Xiao

  3. Different response of clouds to solar input Mirela Voiculescu,1,2

    E-Print Network [OSTI]

    Usoskin, Ilya G.

    influence on cloud cover is not uniquely defined by one solar driver, but both seem to play a role dependingDifferent response of clouds to solar input Mirela Voiculescu,1,2 Ilya G. Usoskin,3 and Kalevi November 2006. [1] There is evidence that solar activity variations can affect the cloud cover at Earth

  4. An electrodynamic balance (EDB) for extraterrestrial cloud formation studies

    E-Print Network [OSTI]

    Berlin, Shaena R. (Shaena Rochel)

    2014-01-01

    Ice clouds scatter and absorb solar radiation, affecting atmospheric and surface temperatures (Gettelman et al., 2012). On Mars, where ice contained in clouds makes up a large portion of total atmospheric water vapor, ice ...

  5. ITL BULLETIN FOR JUNE 2012 CLOUD COMPUTING: A REVIEW OF FEATURES, BENEFITS, AND RISKS,

    E-Print Network [OSTI]

    to accelerate the federal government's secure adoption of cloud computing. NIST's goals are to foster cloud security. General recommendations for the implementation of cloud computing cover the areas of managementITL BULLETIN FOR JUNE 2012 CLOUD COMPUTING: A REVIEW OF FEATURES, BENEFITS, AND RISKS

  6. AEROSOL-CLOUD INTERACTIONS CONTROL OF EARTH RADIATION AND LATENT HEAT RELEASE BUDGETS

    E-Print Network [OSTI]

    Daniel, Rosenfeld

    AEROSOL-CLOUD INTERACTIONS CONTROL OF EARTH RADIATION AND LATENT HEAT RELEASE BUDGETS D. ROSENFELD simulations show that cloud development is strongly mod- ulated by the impact of cloud-aerosol interactions on precipitation forming processes. New insights into the mechanisms by which aerosols dominate the cloud cover

  7. Back Cover Front Cover Office of Continuing

    E-Print Network [OSTI]

    Goodman, Robert M.

    Back Cover Front Cover Office of Continuing Professional Education 2012­2013 Professional Landscape of Golf Course Irrigation Systems (p. 13) · Basics of Turf Management (p. 21) · Turfgrass Establishment (p

  8. Dispelling Clouds of Uncertainty

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

    Lewis, Ernie; Teixeira, Joăo

    2015-06-15

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

  9. Cloud Computing Adam Barker

    E-Print Network [OSTI]

    St Andrews, University of

    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

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

    SciTech Connect (OSTI)

    Huang, Hsin-Yuan; Hall, Alex

    2013-07-24

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

  11. Cloud Tracking in Cloud-Resolving Models

    E-Print Network [OSTI]

    Plant, Robert

    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

  12. Why Advertise* Our audience spent a combined total of $293

    E-Print Network [OSTI]

    Peters, Richard

    and security flaws. Cloud How cloud computing affects your business - from costs, government policy to outsourcing and recruiting. Security IT Covering the latest in hacking scandals, privacy issues, viruses and security to trends and innovations. #12;Editorial Team Lia has been working within the technology

  13. Toward Securing Sensor Clouds

    E-Print Network [OSTI]

    Router Cloud Computing Cloud Computing Cloud Computing Tower-mount Antenna Tower-mount Antenna Wireless-Features-1GHz-Tegra-2-HigherRes-Screen/ #12;Router Router Router Router Mini Computer Mini Computer Mini Computer Mini Computer External Storage External Storage Router Router Router Router Cloud Computing Cloud

  14. Photolysis rates in correlated overlapping cloud fields: Cloud-J 7.3c

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

    Prather, M. J.

    2015-08-14

    A new approach for modeling photolysis rates (J values) in atmospheres with fractional cloud cover has been developed and is implemented as Cloud-J – a multi-scattering eight-stream radiative transfer model for solar radiation based on Fast-J. Using observations of the vertical correlation of cloud layers, Cloud-J 7.3c provides a practical and accurate method for modeling atmospheric chemistry. The combination of the new maximum-correlated cloud groups with the integration over all cloud combinations by four quadrature atmospheres produces mean J values in an atmospheric column with root mean square (rms) errors of 4 % or less compared with 10–20 % errorsmore »using simpler approximations. Cloud-J is practical for chemistry–climate models, requiring only an average of 2.8 Fast-J calls per atmosphere vs. hundreds of calls with the correlated cloud groups, or 1 call with the simplest cloud approximations. Another improvement in modeling J values, the treatment of volatile organic compounds with pressure-dependent cross sections, is also incorporated into Cloud-J.« less

  15. Photolysis rates in correlated overlapping cloud fields: Cloud-J 7.3

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

    Prather, M. J.

    2015-05-27

    A new approach for modeling photolysis rates (J values) in atmospheres with fractional cloud cover has been developed and implemented as Cloud-J – a multi-scattering eight-stream radiative transfer model for solar radiation based on Fast-J. Using observed statistics for the vertical correlation of cloud layers, Cloud-J 7.3 provides a practical and accurate method for modeling atmospheric chemistry. The combination of the new maximum-correlated cloud groups with the integration over all cloud combinations represented by four quadrature atmospheres produces mean J values in an atmospheric column with root-mean-square errors of 4% or less compared with 10–20% errors using simpler approximations. Cloud-Jmore »is practical for chemistry-climate models, requiring only an average of 2.8 Fast-J calls per atmosphere, vs. hundreds of calls with the correlated cloud groups, or 1 call with the simplest cloud approximations. Another improvement in modeling J values, the treatment of volatile organic compounds with pressure-dependent cross sections is also incorporated into Cloud-J.« less

  16. Ad hoc cloud computing 

    E-Print Network [OSTI]

    McGilvary, Gary Andrew

    2014-11-27

    Commercial and private cloud providers offer virtualized resources via a set of co-located and dedicated hosts that are exclusively reserved for the purpose of offering a cloud service. While both cloud models appeal to ...

  17. CloudTransport: Using Cloud Storage for

    E-Print Network [OSTI]

    Houmansadr, Amir

    users' network traffic by tunneling it through a cloud storage ser- vice such as Amazon S3. The goal the bridge or identify other connections. CloudTransport can be used as a standalone service, a gateway

  18. New Cloud Detection Algorithm for Multispectral and Hyperspectral Images: Application to

    E-Print Network [OSTI]

    Camps-Valls, Gustavo

    New Cloud Detection Algorithm for Multispectral and Hyperspectral Images: Application to ENVISAT that faces the problem of accurate identification of location and abundance of clouds in multispectral images inevitable that many of these images present cloud covers. The objective of this work is to develop

  19. On Demand Surveillance Service in Vehicular Cloud

    E-Print Network [OSTI]

    Weng, Jui-Ting

    2013-01-01

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

  20. Total Imports

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight Paths30,2,8,Product: Total Crude

  1. NERSC Journal Cover Stories

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

    | png | 729 KB AGU-WRR2015Cover.png Numerical simulation of the environmental impact of hydraulic fracturing of tightshale gas reservoirs on near-surface groundwater:...

  2. Global atmospheric chemistry: Integrating over fractional cloud cover

    E-Print Network [OSTI]

    Neu, Jessica L; Prather, Michael J; Penner, Joyce E

    2007-01-01

    trace gases and atmospheric chemistry, in Climate Change2007 Global atmospheric chemistry: Integrating over2007), Global atmospheric chemistry: Integrating over

  3. Global atmospheric chemistry: Integrating over fractional cloud cover

    E-Print Network [OSTI]

    Neu, Jessica L; Prather, Michael J; Penner, Joyce E

    2007-01-01

    randomly overlapped. Given the CFs in Figure 1, the MXRANin the vertical. [ 15 ] For the CFs shown in Figure 1, if wetroposphere cumulus with small CFs and relatively large ODs

  4. A Satellite Survey Cloud Cover and Water Vapor

    E-Print Network [OSTI]

    the trade wind inversion. Light pollution from Tocopilla, likely to increase in the years to come, also

  5. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals

    SciTech Connect (OSTI)

    Shupe, Matthew

    2013-05-22

    Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May 2008). These time periods will be expanded in a future submission.

  6. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals

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

    Shupe, Matthew

    Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May 2008). These time periods will be expanded in a future submission.

  7. On Demand Surveillance Service in Vehicular Cloud

    E-Print Network [OSTI]

    Weng, Jui-Ting

    2013-01-01

    1.2 Cloud computing to Vehicular CloudM. Gerla. Vehicular Cloud Computing, VCA 2012 Proceedings,single vehicle cannot. Cloud computing to Vehicular Cloud

  8. COVER IMAGE Mechanical metamaterials

    E-Print Network [OSTI]

    Loss, Daniel

    COVER IMAGE Mechanical metamaterials are artificial structures whose properties originate from a range of structural deformations. Letter p153; News & Views p95 IMAGE: JAYSON PAULOSE COVER DESIGN in elementary optical excitations of monolayer WSe2 Ajit Srivastava, Meinrad Sidler, Adrien V. Allain, Dominik S

  9. Aerosol-cloud radiative effects from passive satellite instruments Mar%n de Graaf

    E-Print Network [OSTI]

    Graaf, Martin de

    Satellite measurements of absorbing aerosols Reflectance Difference Method Cloud modelling Results Outlook Aerosol-Radiation Interac. Aerosol-Cloud Interac. Total anthropogenic Solar irradiance #12;Absorbing aerosols: SCIAMACHY Results Outlook #12;SCIAMACHY on ESA's Environmetal Satellite: ENVISAT Polar orbi

  10. Cloud Security by Max Garvey

    E-Print Network [OSTI]

    Tolmach, Andrew

    Cloud Security Survey by Max Garvey #12;Cloudy Cloud is Cloudy What is the cloud? On Demand Service, performance SECaaS - Cloud hosted security measures Certifications - measurements for cloud security. #12;Cloud Questions If you have $0 security budget, could cloud be a security improvement? Who owns the data

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

    E-Print Network [OSTI]

    Hogan, Robin

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

  12. Program Analyses for Cloud Computations

    E-Print Network [OSTI]

    Tetali, Sai Deep

    2015-01-01

    search. ” In CCSW 09: Cloud Computing Security Workshop, pp.ACM workshop on Cloud computing security workshop, CCSW ’11,aspects of cloud computing, including security, performance

  13. PC Windows Adobe Creative Cloud PC Windows Adobe Creative Cloud

    E-Print Network [OSTI]

    PC Windows Adobe Creative Cloud 1 PC Windows Adobe Creative Cloud 2015-05-25 1 Web Windows Adobe Creative Cloud PC | Creative Cloud https://helpx.adobe.com/jp/creative-cloud Adobe Creative Cloud 5.1 Web TTInstaller(Windows )() http://www.officesoft.gsic.titech.ac

  14. ESTABLISHMENT OF CLOUD REGIMES FOR SYSTEMATIC EVALUATION OF CLOUD MODELING

    E-Print Network [OSTI]

    ESTABLISHMENT OF CLOUD REGIMES FOR SYSTEMATIC EVALUATION OF CLOUD MODELING Wuyin Lin1 , Yangang Liu Distinct cloud regimes can exist locally and globally. Such cloud regimes usually have close association, the classification of cloud regimes may be based on cloud properties and/or meteorological conditions. This study

  15. CloudCast: Cloud Computing for Short-term Mobile Weather Forecasts

    E-Print Network [OSTI]

    Shenoy, Prashant

    of Massachusetts Amherst Abstract--Since today's weather forecasts only cover large regions every few hours algorithm for generating accurate short-term weather forecasts. We study CloudCast's design space, which One useful application is mobile weather forecasting, which provides hour-to-hour forecasts

  16. Hyperscale Cloud Technical White Paper

    E-Print Network [OSTI]

    Chaudhuri, Surajit

    Hyperscale Cloud Technical White Paper Published: May 2015 Applies to: SQL Server 2016 CTP2, SQL in the cloud with greater scale and flexibility. Microsoft SQL Server is built for cloud integration--your organization can easily deploy SQL Server in a private cloud, hybrid cloud, or public cloud, and can use

  17. XSEDE Cloud Survey Report

    E-Print Network [OSTI]

    Chen, Tsuhan

    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

  18. Research Cloud Computing Recommendations

    E-Print Network [OSTI]

    Qian, Ning

    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

  19. Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels

    E-Print Network [OSTI]

    Hartmann, Dennis

    Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative 2011) ABSTRACT This study proposes a novel technique for computing cloud feedbacks using histograms integrated cloud feedbacks computed in this manner agree remarkably well with the adjusted change in cloud

  20. Taiwan UniCloud: A Cloud Testbed with Collaborative Cloud Services Wu-Chun Chung*

    E-Print Network [OSTI]

    Chung, Yeh-Ching

    Taiwan UniCloud: A Cloud Testbed with Collaborative Cloud Services Wu-Chun Chung* , Po-Chi Shih}@cs.nthu.edu.tw Abstract--This paper introduces a prototype of Taiwan UniCloud, a community-driven hybrid cloud platform for academics in Taiwan. The goal is to leverage resources in multiple clouds among different organizations

  1. DERIVING PROGNOSTIC EQUATIONS FOR CLOUD FRACTION AND LIQUID WATER CONTENT

    E-Print Network [OSTI]

    DERIVING PROGNOSTIC EQUATIONS FOR CLOUD FRACTION AND LIQUID WATER CONTENT Vincent E. Larson1 1 that accounts for how liquid water varies with both total water content and temperature. The variable s has- ter content, ql , and cloud fraction, C. This provides in- formation about partial cloudiness. Tiedtke

  2. Covering Walls With Fabrics. 

    E-Print Network [OSTI]

    Anonymous,

    1979-01-01

    , grasscloth and many other textures and weaves are available in this type of wall covering. When selecting fabrics to apply to interior walls, consider pattern, color, amount of shrink age and weight. Check to see if the design is printed with the grain... several times over a 12-inch length until fabric is cut through and can be pulled away easily (see Figure 5) . Figure 5 To cover raw edges at top or bottom when . there is no molding, attach an attractive gimp, flat braid or decorative molding...

  3. Relationship between Cloud Condensation Nuclei and Satellite Retrievals of Cloud Droplet Effective Radius

    E-Print Network [OSTI]

    Delene, David J.

    ` Relationship between Cloud Condensation Nuclei and Satellite Retrievals of Cloud Droplet is the relationship between below cloud base cloud condensation nuclei (CCN) and satellite retrievals of cloud droplet cloud effective radius; however, satellites can not measure cloud condensation nuclei (CCN

  4. Community Cloud Computing

    E-Print Network [OSTI]

    Marinos, Alexandros

    2009-01-01

    Cloud Computing is rising fast, with its data centres growing at an unprecedented rate. However, this has come with concerns over privacy, efficiency at the expense of resilience, and environmental sustainability, because of the dependence on Cloud vendors such as Google, Amazon and Microsoft. Our response is an alternative model for the Cloud conceptualisation, providing a paradigm for Clouds in the community, utilising networked personal computers for liberation from the centralised vendor model. Community Cloud Computing (C3) offers an alternative architecture, created by combing the Cloud with paradigms from Grid Computing, principles from Digital Ecosystems, and sustainability from Green Computing, while remaining true to the original vision of the Internet. It is more technically challenging than Cloud Computing, having to deal with distributed computing issues, including heterogeneous nodes, varying quality of service, and additional security constraints. However, these are not insurmountable challenge...

  5. Energy-Efficient Virtual Machine Replication and Placement in a Cloud Computing System

    E-Print Network [OSTI]

    Pedram, Massoud

    Energy-Efficient Virtual Machine Replication and Placement in a Cloud Computing System Hadi the servers more efficiently. In this paper, the problem of energy-efficient VM placement in a cloud computing in a datacenter, a cloud provider can reduce the total energy consumption for servicing his clients with little

  6. Federated Cloud Security Architecture for Secure and Agile Clouds

    E-Print Network [OSTI]

    Xu, Shouhuai

    Federated Cloud Security Architecture for Secure and Agile Clouds Weiliang Luo, Li Xu, Zhenxin Zhan. This chapter introduces the novel federated cloud security architecture that includes proactive cloud defense technologies for secure and agile cloud development. The federated security architecture consists of a set

  7. The proposed connection between clouds and cosmic rays: Cloud

    E-Print Network [OSTI]

    The proposed connection between clouds and cosmic rays: Cloud behaviour during the past 50 of cloud factors using both satellite and ground­based data. In particular, we search for evidence for the low cloud decrease predicted by the rising levels of solar activity and the low cloud­cosmic ray flux

  8. An Autonomous Reliabilit Cloud Comput

    E-Print Network [OSTI]

    Buyya, Rajkumar

    An Autonomous Reliabilit Ami Cloud Comput Department of Computing and Informa Abstract--Cloud computing paradigm allo based access to computing and storages s Internet. Since with advances of Cloud. Keywords- Cloud computing; SLA negotiat I. INTRODUCTION Cloud computing has transferred the services

  9. Fig 2 -Cloud energy collect infrastructure Energy Efficient (Green) Cloud !

    E-Print Network [OSTI]

    Lefčvre, Laurent

    Fig 2 - Cloud energy collect infrastructure Energy Efficient (Green) Cloud ! The Compatible software components Energy Monitoring of physical and virtual resources Energy usage exposing for users and clouds managers Energy monitoring streams for upper layers software Design Energy aware software

  10. Finance Idol Word Cloud

    Broader source: Energy.gov [DOE]

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

  11. Parameterizing Size Distribution in Ice Clouds

    SciTech Connect (OSTI)

    DeSlover, Daniel; Mitchell, David L.

    2009-09-25

    PARAMETERIZING SIZE DISTRIBUTIONS IN ICE CLOUDS David L. Mitchell and Daniel H. DeSlover ABSTRACT An outstanding problem that contributes considerable uncertainty to Global Climate Model (GCM) predictions of future climate is the characterization of ice particle sizes in cirrus clouds. Recent parameterizations of ice cloud effective diameter differ by a factor of three, which, for overcast conditions, often translate to changes in outgoing longwave radiation (OLR) of 55 W m-2 or more. Much of this uncertainty in cirrus particle sizes is related to the problem of ice particle shattering during in situ sampling of the ice particle size distribution (PSD). Ice particles often shatter into many smaller ice fragments upon collision with the rim of the probe inlet tube. These small ice artifacts are counted as real ice crystals, resulting in anomalously high concentrations of small ice crystals (D < 100 µm) and underestimates of the mean and effective size of the PSD. Half of the cirrus cloud optical depth calculated from these in situ measurements can be due to this shattering phenomenon. Another challenge is the determination of ice and liquid water amounts in mixed phase clouds. Mixed phase clouds in the Arctic contain mostly liquid water, and the presence of ice is important for determining their lifecycle. Colder high clouds between -20 and -36 oC may also be mixed phase but in this case their condensate is mostly ice with low levels of liquid water. Rather than affecting their lifecycle, the presence of liquid dramatically affects the cloud optical properties, which affects cloud-climate feedback processes in GCMs. This project has made advancements in solving both of these problems. Regarding the first problem, PSD in ice clouds are uncertain due to the inability to reliably measure the concentrations of the smallest crystals (D < 100 µm), known as the “small mode”. Rather than using in situ probe measurements aboard aircraft, we employed a treatment of ice cloud optical properties formulated in terms of PSD parameters in combination with remote measurements of thermal radiances to characterize the small mode. This is possible since the absorption efficiency (Qabs) of small mode crystals is larger at 12 µm wavelength relative to 11 µm wavelength due to the process of wave resonance or photon tunneling more active at 12 µm. This makes the 12/11 µm absorption optical depth ratio (or equivalently the 12/11 µm Qabs ratio) a means for detecting the relative concentration of small ice particles in cirrus. Using this principle, this project tested and developed PSD schemes that can help characterize cirrus clouds at each of the three ARM sites: SGP, NSA and TWP. This was the main effort of this project. These PSD schemes and ice sedimentation velocities predicted from them have been used to test the new cirrus microphysics parameterization in the GCM known as the Community Climate Systems Model (CCSM) as part of an ongoing collaboration with NCAR. Regarding the second problem, we developed and did preliminary testing on a passive thermal method for retrieving the total water path (TWP) of Arctic mixed phase clouds where TWPs are often in the range of 20 to 130 g m-2 (difficult for microwave radiometers to accurately measure). We also developed a new radar method for retrieving the cloud ice water content (IWC), which can be vertically integrated to yield the ice water path (IWP). These techniques were combined to determine the IWP and liquid water path (LWP) in Arctic clouds, and hence the fraction of ice and liquid water. We have tested this approach using a case study from the ARM field campaign called M-PACE (Mixed-Phase Arctic Cloud Experiment). This research led to a new satellite remote sensing method that appears promising for detecting low levels of liquid water in high clouds typically between -20 and -36 oC. We hope to develop this method in future research.

  12. ARM - Cover Competition Winners

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? We would love to hear from you! Send us agovInstrumentswrf-chemMeetingsCover Competition Winners Science

  13. PAGE Cover: Top Photo

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills andOrder 422.1, CONDUCT P - . . - - 4 v - r REQUESTCostPAGE Cover: Top

  14. Radiative Effects of Dust Aerosols, Natural Cirrus Clouds and Contrails: Broadband Optical Properties and Sensitivity Studies 

    E-Print Network [OSTI]

    Yi, Bingqi

    2013-07-09

    This dissertation aims to study the broadband optical properties and radiative effects of dust aerosols and ice clouds. It covers three main topics: the uncertainty of dust optical properties and radiative effects from the dust particle shape...

  15. Daytime Arctic Cloud Detection based on Multi-angle Satellite Data with Case Studies

    E-Print Network [OSTI]

    Yu, Bin

    that the strongest dependences of surface air temperatures on increasing atmospheric carbon dioxide levels will occur of the similar remote sensing characteristics of clouds, ice- and snow-covered surfaces. This paper proposes two

  16. Program Analyses for Cloud Computations

    E-Print Network [OSTI]

    Tetali, Sai Deep

    2015-01-01

    search. ” In CCSW 09: Cloud Computing Security Workshop, pp.and M. Walfish. “Depot: Cloud storage with minimal trust. ”the 3rd ACM workshop on Cloud computing security workshop,

  17. Cloud Detection over Snow and Ice Using MISR Data , Eugene E. Clothiaux

    E-Print Network [OSTI]

    Yu, Bin

    Cloud Detection over Snow and Ice Using MISR Data Tao Shi , Bin Yu , Eugene E. Clothiaux detection is particularly difficult in the snow- and ice-covered po- lar regions and availability WORDS: Cloud detection; Feature selection; Ice and snow; Multi-angle Imaging Spectro- Radiometer (MISR

  18. METR 3223: Physical Meteorology II: Cloud Physics, Atmospheric Electricity and Optics

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    METR 3223: Physical Meteorology II: Cloud Physics, Atmospheric Electricity and Optics CLASS: Monday as atmospheric electricity and optics. Specific topics that will be covered are as follows: Cloud physics: Review Lightening Atmospheric optics: Reflection and refraction Optical phenomena GRADES Homework problems: 20% Quiz

  19. Sandia Energy - Cloud Computing Services

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

    Services Home Stationary Power Safety, Security & Resilience of Energy Infrastructure Grid Modernization Cyber Security for Electric Infrastructure Cloud Computing Services Cloud...

  20. CONTRIBUTED Green Cloud Computing

    E-Print Network [OSTI]

    Tucker, Rod

    as well as data processing and data storage. We show that energy consumption in transport and switching | Cloud computing; core networks; data centers; energy consumption I. INTRODUCTION The increasing to energy consumption and cloud computing seems to be an alternative to office-based computing. By Jayant

  1. RELATIONSHIP BETWEEN CLOUD FRACTION AND CLOUD ALBEDO: COMBINED OBSERVATIONAL-MODELING-THEORETICAL INVESTIGATION

    E-Print Network [OSTI]

    RELATIONSHIP BETWEEN CLOUD FRACTION AND CLOUD ALBEDO: COMBINED OBSERVATIONAL of Energy Office of Science ABSTRACT Cloud fraction and cloud albedo have long occupied the central stage as key cloud quantities in studying cloud-climate interaction; however their quantitative relationship

  2. Cloud computing security.

    SciTech Connect (OSTI)

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

    2010-10-01

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

  3. Cloud coverage and height during FIRE ACE derived from Patrick Minnis,1 Venkatesan Chakrapani,2 David R. Doelling,2 Louis Nguyen,1

    E-Print Network [OSTI]

    Shupe, Matthew

    Cloud coverage and height during FIRE ACE derived from AVHRR data Patrick Minnis,1 Venkatesan Robert F. Arduini,4 and Matthew Shupe5 Abstract. Cloud cover and height are derived from NOAA-12 and NOAA excellent temporal coverage during the May­July 1998 First ISCCP Regional Experiment Arctic Clouds

  4. Cloud is not a silver bullet: A case study of cloud-based mobile browsing

    E-Print Network [OSTI]

    Greenberg, Albert

    and device energy con- sumption. While these efforts have adopted different ap- proaches to cloud not provide clear benefits over Direct either in energy or download time. For e.g. while CB decreases for other pages. Sim- ilarly while CB decreases the total energy by up to 20.77J compared to Direct for 52

  5. Convective Cloud Lifecycles Lunchtime seminar

    E-Print Network [OSTI]

    Plant, Robert

    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

  6. Identifying clouds over the Pierre Auger Observatory using infrared satellite data

    SciTech Connect (OSTI)

    Abreu, Pedro; et al.,

    2013-12-01

    We describe a new method of identifying night-time clouds over the Pierre Auger Observatory using infrared data from the Imager instruments on the GOES-12 and GOES-13 satellites. We compare cloud identifications resulting from our method to those obtained by the Central Laser Facility of the Auger Observatory. Using our new method we can now develop cloud probability maps for the 3000 km^2 of the Pierre Auger Observatory twice per hour with a spatial resolution of ~2.4 km by ~5.5 km. Our method could also be applied to monitor cloud cover for other ground-based observatories and for space-based observatories.

  7. ,"Total Natural Gas Consumption

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

    Gas Consumption (billion cubic feet)",,,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

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

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

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

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

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

    SciTech Connect (OSTI)

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

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

  10. SUPERGIANT SHELLS AND MOLECULAR CLOUD FORMATION IN THE LARGE MAGELLANIC CLOUD

    SciTech Connect (OSTI)

    Dawson, J. R.; Dickey, John M.; McClure-Griffiths, N. M.; Wong, T.; Hughes, A.; Fukui, Y.; Kawamura, A.

    2013-01-20

    We investigate the influence of large-scale stellar feedback on the formation of molecular clouds in the Large Magellanic Cloud (LMC). Examining the relationship between H I and {sup 12}CO(J = 1-0) in supergiant shells (SGSs), we find that the molecular fraction in the total volume occupied by SGSs is not enhanced with respect to the rest of the LMC disk. However, the majority of objects ({approx}70% by mass) are more molecular than their local surroundings, implying that the presence of a supergiant shell does on average have a positive effect on the molecular gas fraction. Averaged over the full SGS sample, our results suggest that {approx}12%-25% of the molecular mass in supergiant shell systems was formed as a direct result of the stellar feedback that created the shells. This corresponds to {approx}4%-11% of the total molecular mass of the galaxy. These figures are an approximate lower limit to the total contribution of stellar feedback to molecular cloud formation in the LMC, and constitute one of the first quantitative measurements of feedback-triggered molecular cloud formation in a galactic system.

  11. ARM - Midlatitude Continental Convective Clouds (jensen-sonde)

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

    Jensen, Mike; Comstock, Jennifer; Genio, Anthony Del; Giangrande, Scott; Kollias, Pavlos

    A major component of the Mid-latitude Continental Convective Clouds Experiment (MC3E) field campaign was the deployment of an enhanced radiosonde array designed to capture the vertical profile of atmospheric state variables (pressure, temperature, humidity wind speed and wind direction) for the purpose of deriving the large-scale forcing for use in modeling studies. The radiosonde array included six sites (enhanced Central Facility [CF-1] plus five new sites) launching radiosondes at 3-6 hour sampling intervals. The network will cover an area of approximately (300)2 km2 with five outer sounding launch sites and one central launch location. The five outer sounding launch sites are: S01 Pratt, KS [ 37.7oN, 98.75oW]; S02 Chanute, KS [37.674, 95.488]; S03 Vici, Oklahoma [36.071, -99.204]; S04 Morris, Oklahoma [35.687, -95.856]; and S05 Purcell, Oklahoma [34.985, -97.522]. Soundings from the SGP Central Facility during MC3E can be retrieved from the regular ARM archive. During routine MC3E operations 4 radiosondes were launched from each of these sites (approx. 0130, 0730, 1330 and 1930 UTC). On days that were forecast to be convective up to four additional launches were launched at each site (approx. 0430, 1030, 1630, 2230 UTC). There were a total of approximately 14 of these high frequency launch days over the course of the experiment.

  12. ARM - Midlatitude Continental Convective Clouds (jensen-sonde)

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

    Jensen, Mike; Comstock, Jennifer; Genio, Anthony Del; Giangrande, Scott; Kollias, Pavlos

    2012-01-19

    A major component of the Mid-latitude Continental Convective Clouds Experiment (MC3E) field campaign was the deployment of an enhanced radiosonde array designed to capture the vertical profile of atmospheric state variables (pressure, temperature, humidity wind speed and wind direction) for the purpose of deriving the large-scale forcing for use in modeling studies. The radiosonde array included six sites (enhanced Central Facility [CF-1] plus five new sites) launching radiosondes at 3-6 hour sampling intervals. The network will cover an area of approximately (300)2 km2 with five outer sounding launch sites and one central launch location. The five outer sounding launch sites are: S01 Pratt, KS [ 37.7oN, 98.75oW]; S02 Chanute, KS [37.674, 95.488]; S03 Vici, Oklahoma [36.071, -99.204]; S04 Morris, Oklahoma [35.687, -95.856]; and S05 Purcell, Oklahoma [34.985, -97.522]. Soundings from the SGP Central Facility during MC3E can be retrieved from the regular ARM archive. During routine MC3E operations 4 radiosondes were launched from each of these sites (approx. 0130, 0730, 1330 and 1930 UTC). On days that were forecast to be convective up to four additional launches were launched at each site (approx. 0430, 1030, 1630, 2230 UTC). There were a total of approximately 14 of these high frequency launch days over the course of the experiment.

  13. A developer's survey on different cloud platforms

    E-Print Network [OSTI]

    Doan, Dzung

    2009-01-01

    1 Introduction Cloud computing is a computing paradigm inFor this reason, cloud computing has also been describedparallel processing. Cloud computing can be contrasted with

  14. The Magellan Final Report on Cloud Computing

    E-Print Network [OSTI]

    Coghlan, Susan

    2013-01-01

    their research efforts in cloud security. Experiences andinvolving cloud resources and security guidance is thedynamic nature of cloud systems, the security controls must

  15. Migrating enterprise storage applications to the cloud

    E-Print Network [OSTI]

    Vrable, Michael Daniel

    2011-01-01

    outsourcing to the cloud and data security. Depending onconcerned about data security in the cloud. Data stored inrun in the cloud, while protecting data security guarantees.

  16. Migrating enterprise storage applications to the cloud

    E-Print Network [OSTI]

    Vrable, Michael Daniel

    2011-01-01

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

  17. Covered Product Category: Commercial Griddles

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for commercial griddles, which is a product category covered by the ENERGY STAR program

  18. Covered Product Category: Commercial Fryers

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for commercial fryers, which is a product category covered by the ENERGY STAR program.

  19. Covered Product Category: Commercial Ovens

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for commercial ovens, which is a product category covered by the ENERGY STAR program.

  20. CloudSafe: Securing Data Processing within Vulnerable Virtualization Environments in the Cloud

    E-Print Network [OSTI]

    Ryder, Barbara G.

    CloudSafe: Securing Data Processing within Vulnerable Virtualization Environments in the Cloud large-scale cloud applications. Index Terms--cloud security, outsourced computation, side- channel, newly discovered vulnerabilities in cloud virtualization envi- ronment have threatened the security

  1. Cloud Based Applications and Platforms (Presentation)

    SciTech Connect (OSTI)

    Brodt-Giles, D.

    2014-05-15

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

  2. CloudMan: A Platform for Portable Cloud Manufacturing Services

    E-Print Network [OSTI]

    Dustdar, Schahram

    CloudMan: A Platform for Portable Cloud Manufacturing Services Soheil Qanbari, Samira Mahdi Zadeh Education (BIHE), Iran soroush.vedaeei@bihe.org Abstract--Cloud manufacturing refers to "as a Service" pro- duction model that exploits an on-demand access to a distributed pool of diversified manufacturing

  3. National Land Cover Data National Land Cover Data

    E-Print Network [OSTI]

    _Data_Presentation_Form: raster digital data Other_Citation_Details: Classification and processing of the orginal remote sensing (NLCD). The NLCD is a 21-class land cover classification of the entire United States. It is derived from

  4. Attribution Analysis of Cloud Feedback 

    E-Print Network [OSTI]

    Zhou, Chen

    2014-07-15

    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...

  5. Software-Defined Mobile Cloud

    E-Print Network [OSTI]

    Ku, Ian

    2014-01-01

    M. Gerla. “Towards Software- Defined VANETs: ArchitectureI. Ku, Y. Lu, and M. Gerla. “Software-Defined Mobile Cloud:C. Peylo, “CloudMAC: towards software defined WLANs,” ACM

  6. Opaque cloud detection

    DOE Patents [OSTI]

    Roskovensky, John K. (Albuquerque, NM)

    2009-01-20

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

  7. CLOUD CHEMISTRY STEPHEN E. SCHWARTZ

    E-Print Network [OSTI]

    Schwartz, Stephen E.

    is considered bere to comprise both cloud composition and reactions that take place in clouds. Clouds are a very special subset of tbe atmosphere because they present substantial amounts of condensed-phase water (liquid, the examples developed bere focus on these chemical systems. However, much of the resulting undetstanding

  8. Cloud Formation, Evolution and Destruction

    E-Print Network [OSTI]

    Estalella, Robert

    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

  9. Analysis of global radiation budgets and cloud forcing using three-dimensional cloud nephanalysis data base. Master's thesis

    SciTech Connect (OSTI)

    Mitchell, B.

    1990-12-01

    A one-dimensional radiative transfer model was used to compute the global radiative budget at the top of the atmosphere (TOA) and the surface for January and July. 1979. The model was also used to determine the global cloud radiative forcing for all clouds and for high and low cloud layers. In the computations. the authors used the monthly cloud data derived from the Air Force Three-Dimensional Cloud Nephanalysis (3DNEPH). These data were used in conjunction with conventional temperature and humidity profiles analyzed during the 1979 First GARP (Global Atmospheric Research Program) Global Experiment (FGGE) year. Global surface albedos were computed from available data and were included in the radiative transfer analysis. Comparisons of the model-produced outgoing solar and infrared fluxes with those derived from Nimbus 7 Earth Radiation Budget (ERS) data were made to validate the radiative model and cloud cover. For reflected solar and emitted infrared (IR) flux, differences within 20 w/sq m meters were shown.

  10. Cover Crops for the Garden

    E-Print Network [OSTI]

    2008-01-01

    matter for your soil or compost pile. Organic matter is thatin the spring or made into compost, cover crops will act asgathered up and added to your compost pile. The first method

  11. RISK ASSESSMENT CLOUD COMPUTING

    E-Print Network [OSTI]

    Columbia University

    SECURITY RESEARCH PRIVACY RISK ASSESSMENT AMC DATA FISMA CLOUD COMPUTING MOBILE DEVICES OPERATIONS PRACTICES TRENDS AUDITS policies #12;2 Privacy & Information Security Annual Update Thursday, June 20, 2013 of Breach statistics Plan to comply with requirements · Training and Education Information Security · Risk

  12. Cutting Down the Energy Cost of Geographically Distributed Cloud Data Centers

    E-Print Network [OSTI]

    Özkasap, Öznur

    Cutting Down the Energy Cost of Geographically Distributed Cloud Data Centers Huseyin Guler1 , B, Spain Abstract. The energy costs constitute a significant portion of the total cost of cloud providers and the outside weather temperature, we model the problem of minimizing the energy cost as a linear programming

  13. DETECTABILITY OF OORT CLOUD OBJECTS USING KEPLER

    SciTech Connect (OSTI)

    Ofek, Eran O. [Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125 (United States); Nakar, Ehud [School of Physics and Astronomy, Tel-Aviv University, Tel-Aviv 69978 (Israel)

    2010-03-01

    The size distribution and total mass of objects in the Oort Cloud have important implications to the theory of planet formation, including the properties of, and the processes taking place in the early solar system. We discuss the potential of space missions, such as Kepler and CoRoT, designed to discover transiting exoplanets, to detect Oort Cloud, Kuiper Belt, and main belt objects by occultations of background stars. Relying on published dynamical estimates of the content of the Oort Cloud, we find that Kepler's main program is expected to detect between 0 and {approx}100 occultation events by deca-kilometer-sized Oort Cloud objects. The occultation rate depends on the mass of the Oort Cloud, the distance to its 'inner edge', and the size distribution of its objects. In contrast, Kepler is unlikely to find occultations by Kuiper Belt or main belt asteroids, mainly due to the fact that it is observing a high ecliptic latitude field. Occultations by solar system objects will appear as a photometric deviation in a single measurement, implying that the information regarding the timescale and light-curve shape of each event is lost. We present statistical methods that have the potential to verify the authenticity of occultation events by solar system objects, to estimate the distance to the occulting population, and to constrain their size distribution. Our results are useful for planning of future space-based exoplanet searches in a way that will maximize the probability of detecting solar system objects, without hampering the main science goals.

  14. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

  15. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

  16. ,"Total Fuel Oil Expenditures

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

    . Fuel Oil Expenditures by Census Region for Non-Mall Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per...

  17. ,"Total Fuel Oil Consumption

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

    0. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for Non-Mall Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  18. ,"Total Fuel Oil Expenditures

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

    4. Fuel Oil Expenditures by Census Region, 1999" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per Square Foot"...

  19. ,"Total Fuel Oil Expenditures

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

    A. Fuel Oil Expenditures by Census Region for All Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per...

  20. ,"Total Fuel Oil Consumption

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

    A. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  1. Cluster analysis of cloud properties : a method for diagnosing cloud-climate feedbacks

    E-Print Network [OSTI]

    Gordon, Neil D.

    2008-01-01

    Zhang (2004), Comparing clouds and their seasonal variationstropical greenhouse effect and cloud radiative forcing. J.thermodynamic components of cloud changes. Clim. Dyn. , 22,

  2. Cover

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEvery Thanksgiving, we hear and Decommissioning

  3. cover

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative798/%2A en NNSA announces retirement of

  4. Cover

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electric vehicle (PEV)Day-June2012 |DepartmentRemarks Prepared

  5. CloudAnalyst: A CloudSim-based Visual Modeller for Analysing Cloud Computing Environments and Applications

    E-Print Network [OSTI]

    Buyya, Rajkumar

    CloudAnalyst: A CloudSim-based Visual Modeller for Analysing Cloud Computing Environments and Applications Bhathiya Wickremasinghe1 , Rodrigo N. Calheiros2 , and Rajkumar Buyya1 1 The Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computer Science and Software Engineering The University

  6. Cloud in a Bottle Demonstrate how pressure relates to cloud formation by making a cloud in a soda bottle.

    E-Print Network [OSTI]

    Johnson, Cari

    Cloud in a Bottle Demonstrate how pressure relates to cloud formation by making a cloud in a soda doesn't escape. 5. Squeeze the soda bottle and release, repeating several times. Eventually, a cloud construction paper (or anything dark) on half of the bottle may make the cloud easier to see. What Happened

  7. Cloud computing and hyperbolic Voronoi diagrams on the sphere

    E-Print Network [OSTI]

    Pavel Bleher; Caroline Shouraboura

    2012-03-13

    In this work we study the minimization problem for the total distance in a cloud computing network on the sphere. We give a solution to this problem in terms of hyperbolic Voronoi diagrams on the sphere. We present results of computer simulations illustrating the solution.

  8. Inhomogeneous cloud coverage through the Coulomb explosion of dust in substellar atmospheres

    E-Print Network [OSTI]

    Stark, Craig R; Diver, Declan A

    2015-01-01

    Recent observations of brown dwarf spectroscopic variability in the infrared infer the presence of patchy cloud cover. This paper proposes a mechanism for producing inhomogeneous cloud coverage due to the depletion of cloud particles through the Coulomb explosion of dust in atmospheric plasma regions. Charged dust grains Coulomb-explode when the electrostatic stress of the grain exceeds its mechanical tensile stress, which results in grains below a critical radius $aeV ($\\approx10^{5}$~K), the critical grain radius varies from $10^{-7}$ to $10^{-4}$~cm, depending on the grains' tensile strength. Higher critical radii up to $10^{-3}$~cm ...

  9. Retrievals of cloud optical depth and effective radius from Thin-Cloud Rotating Shadowband Radiometer measurements

    E-Print Network [OSTI]

    Retrievals of cloud optical depth and effective radius from Thin-Cloud Rotating Shadowband December 2011. [1] A Thin-Cloud Rotating Shadowband Radiometer (TCRSR) was developed and deployed) through an optically thin cloud (optical depth

  10. Total aerosol effect: forcing or radiative flux perturbation?

    SciTech Connect (OSTI)

    Lohmann, Ulrike; Storelvmo, Trude; Jones, Andy; Rotstayn, Leon; Menon, Surabi; Quaas, Johannes; Ekman, Annica; Koch, Dorothy; Ruedy, Reto

    2009-09-25

    Uncertainties in aerosol forcings, especially those associated with clouds, contribute to a large extent to uncertainties in the total anthropogenic forcing. The interaction of aerosols with clouds and radiation introduces feedbacks which can affect the rate of rain formation. Traditionally these feedbacks were not included in estimates of total aerosol forcing. Here we argue that they should be included because these feedbacks act quickly compared with the time scale of global warming. We show that for different forcing agents (aerosols and greenhouse gases) the radiative forcings as traditionally defined agree rather well with estimates from a method, here referred to as radiative flux perturbations (RFP), that takes these fast feedbacks and interactions into account. Thus we propose replacing the direct and indirect aerosol forcing in the IPCC forcing chart with RFP estimates. This implies that it is better to evaluate the total anthropogenic aerosol effect as a whole.

  11. Corrugated cover plate for flat plate collector

    DOE Patents [OSTI]

    Hollands, K. G. Terry (Elora, CA); Sibbitt, Bruce (Waterloo, CA)

    1978-01-01

    A flat plate radiant energy collector is providing having a transparent cover. The cover has a V-corrugated shape which reduces the amount of energy reflected by the cover away from the flat plate absorber of the collector.

  12. Perturbed Physics Ensemble Simulations of Cirrus on the Cloud System-resolving Scale

    SciTech Connect (OSTI)

    Muhlbauer, Andreas; Berry, Elizabeth; Comstock, Jennifer M.; Mace, Gerald G.

    2014-04-16

    In this study, the effect of uncertainties in the parameterization of ice microphysical processes and initial conditions on the variability of cirrus microphysical and radiative properties are investigated in a series of cloud system-resolving perturbed physics ensemble (PPE) and initial condition ensemble (ICE) simulations. Three cirrus cases representative of mid-latitude, subtropical and tropical cirrus are examined. It is found that the variability in cirrus properties induced by perturbing uncertain parameters in ice microphysics parameterizations outweighs the variability induced by perturbing the initial conditions in midlatitude and subtropical cirrus. However, in tropical anvil cirrus the variability in the PPE and ICE simulations is about the same order of magnitude. The cirrus properties showing the largest sensitivity are ice water content (IWC) and cloud thickness whereas the averaged high cloud cover is only marginally affected. Changes in cirrus ice water path and outgoing longwave radiation are controlled primarily by changes in IWC and cloud thickness but not by changes is the averaged high cloud cover. The change in the vertical distribution of cloud fraction and cloud thickness is caused by changes in cirrus cloud base whereas cloud top is not sensitive to either perturbed physics or perturbed initial conditions. In all cirrus cases, the top three parameters controlling the microphysical variability and radiative impact of cirrus clouds are ice fall speeds, ice autoconversion size thresholds and heterogeneous ice nucleation. Changes in the ice deposition coefficient do not affect the ice water path and outgoing longwave radiation. Similarly, changes in the number concentration of aerosols available for homogeneous freezing have virtually no effect on the microphysical and radiative properties of midlatitude and subtropical cirrus but only little impact on tropical anvil cirrus. Overall, the sensitivity of cirrus microphysical and radiative properties to uncertainties in ice microphysics is largest for midlatitude cirrus and smallest for tropical anvil cirrus.

  13. Marine Fisheries On the cover

    E-Print Network [OSTI]

    Marine Fisheries ~@WD@W On the cover: The red snapper, Lutjanus campechanus (NMFS photograph). Articles 56(2), 1994 Sea Turtle Observations at Explosive Removals of Energy Structures Gregg R. Gitschlag AND ATMOSPHERIC ADMINISTRATION D. James Baker, Under Secretary for Oceans and Atmosphere National Marine

  14. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

  15. Total Synthesis of (?)-Himandrine

    E-Print Network [OSTI]

    Movassaghi, Mohammad

    We describe the first total synthesis of (?)-himandrine, a member of the class II galbulimima alkaloids. Noteworthy features of this chemistry include a diastereoselective Diels?Alder reaction in the rapid synthesis of the ...

  16. GMCs scaling relations: role of the cloud definition

    E-Print Network [OSTI]

    Khoperskov, S A; Ladeyschikov, D A; Sobolev, A M; Khoperskov, A V

    2015-01-01

    We investigate physical properties of molecular clouds in the disc galaxies with different morphologies: a galaxy without prominent structure, a spiral barred galaxy and a galaxy with flocculent structure. Our $N$-body/hydrodynamical simulations take into account non-equilibrium H$_2$ and CO chemical kinetics, self-gravity, star formation and feedback processes. For simulated galaxies the scaling relations of giant molecular clouds or so called Larson's relations are studied for two types of a cloud definition: the first is based on the total column density position-position (PP) datasets and the second is indicated by the CO~(1-0) line emission used position-position-velocity (PPV) data. We find that the cloud populations obtained by using both cloud extraction methods generally have similar physical parameters. Note that for the CO line data analysis the mass spectrum of clouds has a tail with low-massive objects $M\\sim 10^3-10^4$~\\Msun. In the case of variation of the column density threshold the significa...

  17. Final Scientific/Technical Report Grant title: Use of ARM Measurements of Spectral Zenith Radiance for Better Understanding of 3D Cloud-Radiation Processes and Aerosol-Cloud Interaction This is a collaborative project with the NASA GSFC project of Dr. A. Marshak and W. Wiscombe (PIs). This report covers BU activities from February 2011 to June 2011 and BU "Â?no-cost extension" activities from June 2011 to June 2012. This report summarizes results that complement a final technical report submitted by the PIs in 2011.

    SciTech Connect (OSTI)

    Knyazikhin, Y

    2012-09-10

    Main results are summarized for work in these areas: spectrally-invariant approximation within atmospheric radiative transfer; spectral invariance of single scattering albedo for water droplets and ice crystals at weakly absorbing wavelengths; seasonal changes in leaf area of Amazon forests from leaf flushing and abscission; and Cloud droplet size and liquid water path retrievals from zenith radiance measurements.

  18. Model-Driven Integration for a Service Placement Optimizer in a Sustainable Cloud of Clouds

    E-Print Network [OSTI]

    Suzuki, Jun

    --"Cloud of clouds" (or federated cloud) is an emerg- ing style of software deployment and execution to interoperate, federated clouds, model-driven system integration and sustainable clouds I. INTRODUCTION Cloud computing, cost effective (e.g., energy effi- cient) service/data placement and avoidance of "lock

  19. CLOUD CLASSIFICATION AND CLOUD PROPERTY RETRIEVAL FROM MODIS , W. Paul Menzel

    E-Print Network [OSTI]

    Li, Jun

    6.4 CLOUD CLASSIFICATION AND CLOUD PROPERTY RETRIEVAL FROM MODIS AND AIRS Jun Li * , W. Paul Menzel Observing System's (EOS) Aqua satellite enable global monitoring of the distribution of clouds. The MODIS is able to provide at high spatial resolution (1 ~ 5km) a cloud mask, surface and cloud types, cloud phase

  20. PC Mac OS Adobe Creative Cloud PC Mac OS Adobe Creative Cloud

    E-Print Network [OSTI]

    PC Mac OS Adobe Creative Cloud 1 PC Mac OS Adobe Creative Cloud 2015-05-25 1 Web Mac OS Adobe Creative Cloud PC | Creative Cloud https://helpx.adobe.com/jp/creative-cloud Adobe Creative Cloud 5.1 Web TTInstaller (Mac OS X )() http://www.officesoft.gsic.titech.ac.jp/pdf

  1. A study of the link between cosmic rays and clouds with a cloud chamber at the CERN PS

    E-Print Network [OSTI]

    The Cloud Collaboration

    2001-04-16

    Recent satellite data have revealed a surprising correlation between galactic cosmic ray (GCR) intensity and the fraction of the Earth covered by clouds. If this correlation were to be established by a causal mechanism, it could provide a crucial step in understanding the long-sought mechanism connecting solar and climate variability. The Earth's climate seems to be remarkably sensitive to solar activity, but variations of the Sun's electromagnetic radiation appear to be too small to account for the observed climate variability. However, since the GCR intensity is strongly modulated by the solar wind, a GCR-cloud link may provide a sufficient amplifying mechanism. Moreover if this connection were to be confirmed, it could have profound consequences for our understanding of the solar contributions to the current global warming. The CLOUD (Cosmics Leaving OUtdoor Droplets) project proposes to test experimentally the existence a link between cosmic rays and cloud formation, and to understand the microphysical mechanism. CLOUD plans to perform detailed laboratory measurements in a particle beam at CERN, where all the parameters can be precisely controlled and measured. The beam will pass through an expansion cloud chamber and a reactor chamber where the atmosphere is to be duplicated by moist air charged with selected aerosols and trace condensable vapours. An array of external detectors and mass spectrometers is used to analyse the physical and chemical characteristics of the aerosols and trace gases during beam exposure. Where beam effects are found, the experiment will seek to evaluate their significance in the atmosphere by incorporating them into aerosol and cloud models.

  2. Migrating enterprise storage applications to the cloud

    E-Print Network [OSTI]

    Vrable, Michael Daniel

    2011-01-01

    1.1 Cloud Computing Applications 1.2Zaharia. A view of cloud computing. Communications of theM. Voelker, Co-Chair Cloud computing has emerged as a model

  3. The Magellan Final Report on Cloud Computing

    E-Print Network [OSTI]

    Coghlan, Susan

    2013-01-01

    4.3.1 Cloud Computing Attractive Features . 4.3.2A berkeley view of cloud computing. Technical Report UCB/matching computations on cloud computing platforms and hpc

  4. The Cloud Computing and Other Variables

    E-Print Network [OSTI]

    Borjon-Kubota, Martha Estela

    2011-01-01

    12. Fragments in Six 13. Cloud Computing 14. Phase 15.Note 48. Devoured vi Cloud Computing and other Variables I.CALIFORNIA RIVERSIDE Cloud Computing and Other Variables A

  5. Magellan: experiences from a Science Cloud

    E-Print Network [OSTI]

    Ramakrishnan, Lavanya

    2013-01-01

    the security implications of user-controlled cloud images?key security practices and policies on private clouds, suchand security poli- cies will remain, and sites moving to cloud

  6. Trusted Cloud: Microsoft Azure Security, Privacy,

    E-Print Network [OSTI]

    Chaudhuri, Surajit

    Trusted Cloud: Microsoft Azure Security, Privacy, and Compliance April 2015 #12;Trusted Cloud................................................................. 18 #12;Trusted Cloud: Microsoft Azure Security, Privacy, and Compliance | April, 2015 Introduction: Microsoft Azure Security, Privacy, and Compliance | April, 2015 #12;3 Contents Introduction

  7. Cicada: Predictive Guarantees for Cloud Network Bandwidth

    E-Print Network [OSTI]

    LaCurts, Katrina

    2014-03-24

    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 ...

  8. Electron-Cloud Build-Up: Summary

    E-Print Network [OSTI]

    Furman, M.A.

    2007-01-01

    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

  9. Magellan: experiences from a Science Cloud

    E-Print Network [OSTI]

    Ramakrishnan, Lavanya

    2013-01-01

    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

  10. Bringing Clouds into Focus

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransen Plasma Asher An O2 RFand1120019Bringing Clouds into

  11. Digital Ecosystems in the Clouds: Towards Community Cloud Computing

    E-Print Network [OSTI]

    Briscoe, Gerard

    2009-01-01

    Cloud Computing is rising fast, with its data centres growing at an unprecedented rate. However, this has come with concerns of privacy, efficiency at the expense of resilience, and environmental sustainability, because of the dependence on Cloud vendors such as Google, Amazon, and Microsoft. Community Cloud Computing makes use of the principles of Digital Ecosystems to provide a paradigm for Clouds in the community, offering an alternative architecture for the use cases of Cloud Computing. Its more technically challenging, dealing with issues of distributed computing, such as latency, differential resource management, and additional security requirements. However, these are not insurmountable challenges, and with the need to retain control over our digital lives and the potential environmental consequences, its one we must pursue.

  12. Editor: Barbara Lorenz Cover Design: John Hobbs

    E-Print Network [OSTI]

    : Barbara Lorenz Cover Design: John Hobbs Graphics: Ivan Lorenz John Hobbs Cover Photo: Ranch Road 337 Bandera County, Texas Cover Photo: Ranch Road 337 Bandera County, Texas Cover Photo: John Hobbs #12. Participation at national and in- ternational meetings and professional conferences is a critical part of our

  13. Cloud Computing and Validation of Expandable In Silico Livers

    E-Print Network [OSTI]

    Ropella, Glen EP; Hunt, C Anthony

    2010-01-01

    with access to computer clusters. Cloud technology coupledto computer clusters. The availability of cloud technology

  14. COLORS OF A SECOND EARTH. II. EFFECTS OF CLOUDS ON PHOTOMETRIC CHARACTERIZATION OF EARTH-LIKE EXOPLANETS

    SciTech Connect (OSTI)

    Fujii, Yuka; Suto, Yasushi; Turner, Edwin L. [Department of Physics, The University of Tokyo, Tokyo 113-0033 (Japan); Kawahara, Hajime [Department of Physics, Tokyo Metropolitan University, Hachioji, Tokyo 192-0397 (Japan); Fukuda, Satoru; Nakajima, Teruyuki [Center of Climate System Research, The University of Tokyo, Kashiwa 277-8568 (Japan); Livengood, Timothy A., E-mail: yuka.fujii@utap.phys.s.u-tokyo.ac.jp [NASA/Goddard Space Flight Center Greenbelt, MD 20771 (United States)

    2011-09-10

    As a test bed for future investigations of directly imaged terrestrial exoplanets, we present the recovery of the surface components of the Earth from multi-band diurnal light curves obtained with the EPOXI spacecraft. We find that the presence and longitudinal distribution of ocean, soil, and vegetation are reasonably well reproduced by fitting the observed color variations with a simplified model composed of a priori known albedo spectra of ocean, soil, vegetation, snow, and clouds. The effect of atmosphere, including clouds, on light scattered from surface components is modeled using a radiative transfer code. The required noise levels for future observations of exoplanets are also determined. Our model-dependent approach allows us to infer the presence of major elements of the planet (in the case of the Earth, clouds, and ocean) with observations having signal-to-noise ratio (S/N) {approx}> 10 in most cases and with high confidence if S/N {approx}> 20. In addition, S/N {approx}> 100 enables us to detect the presence of components other than ocean and clouds in a fairly model-independent way. Degradation of our inversion procedure produced by cloud cover is also quantified. While cloud cover significantly dilutes the magnitude of color variations compared with the cloudless case, the pattern of color changes remains. Therefore, the possibility of investigating surface features through light-curve fitting remains even for exoplanets with cloud cover similar to Earth's.

  15. The Magellan Final Report on Cloud Computing

    E-Print Network [OSTI]

    Coghlan, Susan

    2013-01-01

    of computer security are evolving for cloud computingcomputer forensic space a way to integrate their tools with the cloudthe cloud business model. In addition to answering computer

  16. WEATHER MODIFICATION BY AIRCRAFT CLOUD SEEDING

    E-Print Network [OSTI]

    Vali, Gabor

    WEATHER MODIFICATION BY AIRCRAFT CLOUD SEEDING BERYULEV G.P. Head, Department of Cloud Physics and Weather Modification Central Aerological Observatory Rosgidromet, Russian Federation #12

  17. Cloud Seeding By: Julie Walter

    E-Print Network [OSTI]

    Toohey, Darin W.

    , smoke, that then are cooled because of the high altitudes. As the water or condensation nuclei cool more titled "Cat's Cradle" a young scientist has in his possession an ice crystal that has the power to freeze of those clouds. Winds can form suddenly and blow clouds away from the targeted area. Some experiments show

  18. TOTAL ANNUAL Rent / Mortgage $

    E-Print Network [OSTI]

    Snider, Barry B.

    etc.) $ Child Care Expenses $ Educational Loans taken out in parent's name $ Other (itemize below): $ $ RESOURCES TOTAL ANNUAL AMOUNT Parent 1 Wages $ Parent 2 Wages $ Interest and/or Dividend Income $ Net Income $ Contributions to tax deferred plans(401K) $ Non Educational Veterans' Benefits $ Unemployment Compensation

  19. Total Sustainability Humber College

    E-Print Network [OSTI]

    Thompson, Michael

    1 Total Sustainability Management Humber College November, 2012 SUSTAINABILITY SYMPOSIUM Green An Impending Global Disaster #12;3 Sustainability is NOT Climate Remediation #12;Our Premises "We cannot, you cannot improve it" (Lord Kelvin) "First rule of sustainability is to align with natural forces

  20. Determination of Total Solids and Ash in Algal Biomass: Laboratory Analytical Procedure (LAP)

    SciTech Connect (OSTI)

    Van Wychen, S.; Laurens, L. M. L.

    2013-12-01

    This procedure describes the methods used to determine the amount of moisture or total solids present in a freeze-dried algal biomass sample, as well as the ash content. A traditional convection oven drying procedure is covered for total solids content, and a dry oxidation method at 575?C is covered for ash content.

  1. Efficient Sensitivity Analysis Method for Large Cloud Simulations Kevin Mills, James Filliben and Chris Dabrowski from NIST

    E-Print Network [OSTI]

    control and (2) persistent termination, mitigates the VM Leakage. VMs as seen by cloud users and cloud orphan control process- es­Total Grants (categorized by Full and Partial) and Un-served Users Orphan of temporary termination orphans that occur because we limited persistent termination to final termination

  2. 2013 Wind Technologies Market Report Cover | Department of Energy

    Office of Environmental Management (EM)

    Technologies Market Report Cover.JPG More Documents & Publications NOWEGIS Report Cover 2014 Water Power Peer Review Report Cover Water Power For a Clean Energy Future Cover Photo...

  3. Properties of the Molecular Clouds in NGC 205

    E-Print Network [OSTI]

    L. M. Young

    2000-07-12

    The nearby dwarf elliptical galaxy NGC 205 offers a unique opportunity for high resolution studies of the interstellar medium in an elliptical galaxy. This paper investigates the distribution of molecular gas, molecular line ratios, and the relationships between atomic gas, molecular gas, and dust in NGC 205. The line ratios 12CO(2-1)/(1-0) and 12CO(1-0)/13CO(1-0) in one of the molecular clouds in NGC 205 are consistent with the ratios found in other elliptical galaxies and in Galactic giant molecular clouds; they suggest that the CO in this cloud is probably subthermally excited. Atomic gas, molecular gas, and dust are very closely associated on scales of 100 pc; the atomic gas can be understood as photodissociated envelopes around the molecular clouds. The atomic column densities in this galaxy are quite low (10^20 cm^-2) because the interstellar UV field is relatively low. The total gas-to-dust column density ratios are consistent with Galactic gas-to-dust ratios. In short, the molecular gas in NGC 205 seems to have very similar properties to the familiar molecular clouds in our own Galaxy, except for the low atomic column densities.

  4. SYSTEMATIC STUDY OF COLOR SPACES AND COMPONENTS FOR THE SEGMENTATION OF SKY/CLOUD IMAGES

    E-Print Network [OSTI]

    Winkler, Stefan

    ) is a cost-effective means to understanding cloud cover and weather patterns. The accurate segmentation the most suit- able color components for this task. Index Terms-- Remote sensing, Image segmentation, Color in weather prediction, climate modeling, solar irradiation measurement for renew- able energy generation

  5. Tropical and subtropical cloud transitions in weather and climate prediction models: the GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI)

    SciTech Connect (OSTI)

    Teixeira, J.; Cardoso, S.; Bonazzola, M.; Cole, Jason N.; DelGenio, Anthony D.; DeMott, C.; Franklin, A.; Hannay, Cecile; Jakob, Christian; Jiao, Y.; Karlsson, J.; Kitagawa, H.; Koehler, M.; Kuwano-Yoshida, A.; LeDrian, C.; Lock, Adrian; Miller, M.; Marquet, P.; Martins, J.; Mechoso, C. R.; Meijgaard, E. V.; Meinke, I.; Miranda, P.; Mironov, D.; Neggers, Roel; Pan, H. L.; Randall, David A.; Rasch, Philip J.; Rockel, B.; Rossow, William B.; Ritter, B.; Siebesma, A. P.; Soares, P.; Turk, F. J.; Vaillancourt, P.; Von Engeln, A.; Zhao, M.

    2011-11-01

    A model evaluation approach is proposed where weather and climate prediction models are analyzed along a Pacific Ocean cross-section, from the stratocumulus regions off the coast of California, across the shallow convection dominated trade-winds, to the deep convection regions of the ITCZ: the GCSS/WGNE Pacific Cross-section Intercomparison (GPCI). The main goal of GPCI is to evaluate, and help understand and improve the representation of tropical and sub-tropical cloud processes in weather and climate prediction models. In this paper, a detailed analysis of cloud regime transitions along the cross-section from the sub-tropics to the tropics for the season JJA of 1998 is presented. This GPCI study confirms many of the typical weather and climate prediction model problems in the representation of clouds: underestimation of clouds in the stratocumulus regime by most models with the corresponding consequences in terms of shortwave radiation biases; overestimation of clouds by the ECMWF Re-Analysis (ERA40) in the deep tropics (in particular) with the corresponding impact in the outgoing longwave radiation; large spread between the different models in terms of cloud cover, liquid water path and shortwave radiation; significant differences between the models in terms of vertical crosssections of cloud properties (in particular), vertical velocity and relative humidity. An alternative analysis of cloud cover mean statistics is proposed where sharp gradients in cloud cover along the GPCI transect are taken into account. This analysis shows that the negative cloud bias of some models and ERA40 in the stratocumulus regions (as compared to ISCCP) is associated not only with lower values of cloud cover in these regimes, but also with a stratocumulus-to-cumulus transition that occurs too early along the trade-wind Lagrangian trajectory. Histograms of cloud cover along the cross-section differ significantly between models. Some models exhibit a quasi-bimodal structure with cloud cover being either very large (close to 100%) or very small, while other models show a more continuous transition. The ISCCP observations suggest that reality is in-between these two extreme examples. These different patterns reflect the diverse nature of the cloud, boundary layer, and convection parameterizations in the participating weather and climate prediction models.

  6. Draft NISTIR 80061 NIST Cloud Computing2

    E-Print Network [OSTI]

    Draft NISTIR 80061 NIST Cloud Computing2 Forensic Science Challenges NIST Cloud Computing Forensic Computing11 Forensic Science Challenges 12 NIST Cloud Computing Forensic Science Working Group13 Information challenges77 faced by experts when responding to incidents that have occurred in a cloud-computing ecosystem

  7. Secure Cloud Computing With Brokered Trusted

    E-Print Network [OSTI]

    Secure Cloud Computing With Brokered Trusted Sensor Networks Profs. Steven Myers,Apu Kapadia, Xiao-mount Antenna Tower-mount Antenna Wireless Bridge Security Threats 1. Cloud or Grid 2. Communication Channels 3 Computing Cloud Computing Cloud Computing Tower-mount Antenna Tower-mount Antenna Wireless Bridge Security

  8. An Architecture for Trusted Clouds Mike Burmester

    E-Print Network [OSTI]

    Burmester, Mike

    reasoning will play a major role. In this paper we analyze the cloud paradigm from a security point of view, but it is also technically easier to secure. Finally, the Cloud has a dark side, at least from a security point regulatory and security policies; and hybrid clouds. Services. There are three basic cloud on demand

  9. Why the network matters in cloud computing

    E-Print Network [OSTI]

    Greenberg, Albert

    this promise, and security concerns still loom AT&T NetBond AT&T network enabled cloud computing provides highly-secure access, with the cloud functioning just like another MPLS VPN site. It also allowsWhy the network matters in cloud computing The promise of cloud hinges on flexibility, agility

  10. NIST Cloud Computing Forum and Workshop VIII

    E-Print Network [OSTI]

    NIST Cloud Computing Forum and Workshop VIII Kevin Mills, NIST July 9, 2015 #12;NIST Cloud Project Research Goals Kevin Mills, NIST #12;NIST Cloud Computing Forum and Workshop VIII July 2 015 failure scenarios in a cloud system · Ongoing work on run-time methods · Where to find more information 3

  11. EWI PDS A.Iosup Research Cloud Computing Cloud Computing Research, PDS Group, TU Delft

    E-Print Network [OSTI]

    Iosup, Alexandru

    EWI PDS A.Iosup Research Cloud Computing Cloud Computing Research, PDS Group, TU Delft Cloud Computing Research http://www.pds.ewi.tudelft.nl/~iosup/research_cloud.html Rationale why and how is this work relevant? Cloud computing is an emerging commercial infrastructure paradigm that promises

  12. Storm Clouds Rising: Security Challenges for IaaS Cloud Computing

    E-Print Network [OSTI]

    Bishop, Matt

    Storm Clouds Rising: Security Challenges for IaaS Cloud Computing Brian Hay Kara Nance Matt Bishop on security concerns for computational cloud computing from the perspectives of cloud service users, cloud.hay@alaska.edu klnance@alaska.edu bishop@cs.ucdavis.edu Abstract Securing our digital assets has become increasingly

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

    E-Print Network [OSTI]

    Zhong, Lin

    General Terms Algorithms, Design, Human Factors, Languages, Performance, Security Keywords Camera, cloudVision: 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

  14. EVALUATION OF INTERNATIONAL SATELLITE CLOUD CLIMATOLOGY PROJECT (ISCCP) D2 CLOUD AMOUNT CHANGES AND THEIR CONNECTIONS

    E-Print Network [OSTI]

    Schubert, Wayne H.

    EVALUATION OF INTERNATIONAL SATELLITE CLOUD CLIMATOLOGY PROJECT (ISCCP) D2 CLOUD AMOUNT CHANGES #12;ii #12;iii ABSTRACT EVALUATION OF INTERNATIONAL SATELLITE CLOUD CLIMATOLOGY PROJECT (ISCCP) D2 Climatology Project (ISCCP) D2 dataset exhibits a 2.6% per decade decrease in the global all-cloud cloud

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

    E-Print Network [OSTI]

    Iosup, Alexandru

    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

  16. 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

  17. Cloud water contents and hydrometeor sizes during the FIRE Arctic Clouds Experiment

    E-Print Network [OSTI]

    Shupe, Matthew

    Cloud water contents and hydrometeor sizes during the FIRE Arctic Clouds Experiment Matthew D a 35-GHz cloud radar and the DOE Atmospheric Radiation Measurement Program operated a suite Clouds Experiment took place during April­July 1998, with the primary goal of investigating cloud

  18. A CloudSat cloud object partitioning technique and assessment and integration of deep

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    A CloudSat cloud object partitioning technique and assessment and integration of deep convective, USA Abstract A cloud object partitioning algorithm is developed to provide a widely useful database of deep convective clouds. It takes contiguous CloudSat cloudy regions and identifies various length

  19. Total Crude by Pipeline

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672(MillionFeet)Product: Total

  20. Photolysis rates in correlated overlapping cloud fields: Cloud-J 7.3c

    E-Print Network [OSTI]

    Prather, MJ

    2015-01-01

    Collins, W. : Effect of clouds on photolysis and oxidants insimulation of in- and below-cloud photolysis in troposphericS. , and Liu, X. : Effects of cloud overlap in photochemical

  1. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

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

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together intomore »larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.« less

  2. Long-term impacts of aerosols on the vertical development of clouds and precipitation

    SciTech Connect (OSTI)

    Li, Zhanqing; Niu, F.; Fan, Jiwen; Liu, Yangang; Rosenfeld, Daniel; Ding, Yanni

    2011-12-01

    Aerosol has complex effects on clouds and precipitation that may augment or offset each other contingent upon a variety of variables. As a result, its long-term impact on climate is largely unknown. Using 10 years of the US Atmospheric Radiation Measurement (ARM) measurements, strong aerosol effects of climatologically significance are detected. With increasing total aerosol number concentration (condensation nucleus, CN) measured near the ground, both cloud top height and precipitation change systematically for mix-phase clouds of warm-base (cloud base <1km) and cold-top (above the freezing level), but not for pure liquid and ice clouds. Cloud thickness can increase systematically with the CN concentration by up to a factor of 2. The response of precipitation to CN depends on cloud liquid water path (LWP). As CN increases, rain occurs more frequently for high LWP but less frequently for low LWP. Such strong signals of aerosol long-term impact on cloud and precipitation have not been reported and have significant implications for climate change studies, especially concerning regional and global climate change induced by pollution.

  3. A SYNERGY OF MICROWAVE CLOUD TOMOGRAPHY AND SCANNING RADAR: MOVING TOWARD A 3D VIEW OF CLOUDS

    E-Print Network [OSTI]

    A SYNERGY OF MICROWAVE CLOUD TOMOGRAPHY AND SCANNING RADAR: MOVING TOWARD A 3D VIEW OF CLOUDS D complementary techniques, i.e., cloud microwave tomography and scanning radar, to retrieve 3D cloud properties the sixth moment of cloud droplets, while cloud tomography, by remotely probing cloud microwave emission

  4. Redefining the Cloud based on Beneficial Service Characteristics A New Cloud Taxonomy Leads to Economically Reasonable Semi-cloudification

    E-Print Network [OSTI]

    Redefining the Cloud based on Beneficial Service Characteristics A New Cloud Taxonomy Leads, Germany kemmler@lrz.de Keywords: Cloud, Semi-cloud, Service, Cloud Service, Semi-cloud Service, Service Management. Abstract: Cloud services promise benefits for customers and providers such as scalability

  5. On star formation in primordial protoglobular clouds

    E-Print Network [OSTI]

    Paolo Padoan; Raul Jimenez; Bernard Jones

    1996-04-11

    Using a new physical model for star formation (Padoan 1995) we have tested the possibility that globular clusters (GCs) are formed from primordial mass fluctuations, whose mass scale ($10^8$ - $10^9$ M$_{\\odot}$) is selected out of a CDM spectrum by the mechanism of non-equilibrium formation of $H_2$. We show that such clouds are able to convert about 0.003 of their total mass into a bound system (GC) and about 0.02 into halo stars. The metal enriched gas is dispersed away from the GC by supernova explosions and forms the galactic disk. These mass ratios between GCs, halo and disk depend on the predicted IMF which is a consequence of the universal statistics of fluid turbulence. They also depend on the ratio of baryonic over non-baryonic mass ,$X_b$, and are comparable with the values observed in typical spiral galaxies for $X_b \\approx 0.1-0.2$. The computed mass and radius for a GC ( $5\\times 10^5$ M$_{\\odot}$ and 30 pc) are in good agreement with the average values in the Galaxy. The model predicts an exponential cut off in the stellar IMF below 0.1 M$_{\\odot}$ in GCs and 0.6 M$_{\\odot}$ in the halo. The quite massive star formation in primordial clouds leads to a large number of supernovae and to a high blue luminosity during the first two Gyr of the life of every galaxy.

  6. Cloud Liquid Water Measurements

    E-Print Network [OSTI]

    Delene, David J.

    of heat to vaporize drops. Power is supplied to coil to maintain a constant temperature. P ­ Total Power #12;Wet Power Term Energy is transferred to heat droplets to to the boiling point and vaporize;Liquid Water Content Formula Combine the Wet and Dry Power Terms PC Ts-TaPv x Mldv[Lvcw Tv-Ta] · M

  7. Resource Allocation and Scheduling in Heterogeneous Cloud Environments

    E-Print Network [OSTI]

    Lee, Gunho

    2012-01-01

    1] Open Cirrus cloud computing testbed. http://10] Early experiments in cloud computing. http://on Hot topics in cloud computing, pages 12–12, 2009. [29

  8. Cloud Computing and Validation of Expandable In Silico Livers

    E-Print Network [OSTI]

    Ropella, Glen EP; Hunt, C Anthony

    2010-01-01

    benefit analysis of cloud computing versus desktop grids.as: Ropella and Hunt: Cloud computing and validation ofCloud computing and validation of expandable in silico

  9. RFID Asset Management Solution with Cloud Computation Service

    E-Print Network [OSTI]

    Chattopadhyay, Arunabh

    2012-01-01

    A berkeley view of cloud computing”, EECS Department,and S. Sarma, “Cloud computing, rest and mashups to simplifyand/or frameworks. Cloud computing can be defined as

  10. Simulations of Midlatitude Frontal Clouds by Single-Column and...

    Office of Scientific and Technical Information (OSTI)

    and 4 cloud resolving models (CRMs) in simulating a strong midlatitude frontal cloud system taken from the Spring 2000 Cloud Intensive Observational Period at the ARM Southern...

  11. Intercomparison of model simulations of mixed-phase clouds observed...

    Office of Scientific and Technical Information (OSTI)

    Title: Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. Part I: Single layer cloud Results are presented...

  12. The Evolution of Cloud Computing in ATLAS

    E-Print Network [OSTI]

    Taylor, Ryan P.; The ATLAS collaboration; Love, Peter; Leblanc, Matthew Edgar; Di Girolamo, Alessandro; Paterson, Michael; Gable, Ian; Sobie, Randall; Field, Laurence

    2015-01-01

    The ATLAS experiment has successfully incorporated cloud computing technology and cloud resources into its primarily grid-based model of distributed computing. Cloud R&D activities continue to mature and transition into stable production systems, while ongoing evolutionary changes are still needed to adapt and refine the approaches used, in response to changes in prevailing cloud technology. In addition, completely new developments are needed to handle emerging requirements. This work will describe the overall evolution of cloud computing in ATLAS. The current status of the VM management systems used for harnessing IAAS resources will be discussed. Monitoring and accounting systems tailored for clouds are needed to complete the integration of cloud resources within ATLAS' distributed computing framework. We are developing and deploying new solutions to address the challenge of operation in a geographically distributed multi-cloud scenario, including a system for managing VM images across multiple clouds, ...

  13. The Impact of Cloud Cover on Major League Baseball WES P. KENT

    E-Print Network [OSTI]

    Sheridan, Scott

    . 1. Introduction Weather is a force of nature that can impact many facets of our everyday lives were analyzed, as well as in- dividual responses at 21 different stadiums. Home and away team production, pitching performance, and fielding performance into changes in the ``home field advantage

  14. Accounting for Circumsolar and Horizon Cloud Determination Errors in Sky Image Inferral of Sky Cover

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsicloudden DocumentationAccommodations Accommodations Los AlamosAccountable Property

  15. Observation of Fair-weather Cumuli over Land Dynamical Factors Controlling Cloud Size and Cover

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access to scienceSpeedingLightweight MaterialsGas andof Fair-weather

  16. Snowpack controls on nitrogen cycling and export in seasonally snow-covered catchments

    E-Print Network [OSTI]

    Williams, Mark W.

    a conceptual model of how snow cover controls subnivial (below snowpack) microbial processes and N leachate and there is little microbial activity and N leachate is high. In zone II, total microbial activity is highly variable and the amount of N leachate is highly variable. In zone III, total microbial activity is high

  17. Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis

    SciTech Connect (OSTI)

    Ekechukwu, A.A.

    2002-05-10

    Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

  18. Improved Approximation Algorithms for the Min-max Tree Cover and Bounded Tree Cover Problems

    E-Print Network [OSTI]

    Salavatipour, Mohammad R.

    ). In this paper we consider Min-Max k-Tree Cover Problem (MMkTC) and Bounded Tree Cover Problem (BTC) defined of the largest tree in the cover is minimized. In the Bounded Tree Cover problem (BTC), we are given the weight G

  19. An Inter-Cloud Architecture for Future Internet Infrastructures

    E-Print Network [OSTI]

    Petrakis, Euripides G.M.

    An Inter-Cloud Architecture for Future Internet Infrastructures STELIOS SOTIRIADIS, Technical, Technical University of Crete, Greece Iaan latest years, the concept of interconnecting clouds to allow of cloud resources from Internet users. An efficient common management between different clouds

  20. Covered Product Category: Commercial Refrigerators and Freezers

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for commercial refrigerators and freezers, which are covered by the ENERGY STAR program.

  1. Cover Letter Formula Ready Reference F-3

    E-Print Network [OSTI]

    Cover Letter Formula Ready Reference F-3 College of Engineering, Architecture & Technology Career Services Oklahoma State University College of Engineering, Architecture & Technology Career Services Office

  2. Covered Product Category: Commercial Steam Cookers

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for commercial steam cookers, which are covered by the ENERGY STAR program.

  3. Covered Product Category: Hot Food Holding Cabinets

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for hot food holding cabinets, which are covered by the ENERGY STAR program.

  4. Disruptive technology business models in cloud computing

    E-Print Network [OSTI]

    Krikos, Alexis Christopher

    2010-01-01

    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 ...

  5. The Evolution of Cloud Computing in ATLAS

    E-Print Network [OSTI]

    Taylor, Ryan P; The ATLAS collaboration; Brasolin, Franco; Cordeiro, Cristovao; Desmarais, Ron; Field, Laurence; Gable, Ian; Giordano, Domenico; Di Girolamo, Alessandro; Hover, John; Leblanc, Matthew Edgar; Love, Peter; Paterson, Michael; Sobie, Randall; Zaytsev, Alexandr

    2015-01-01

    The ATLAS experiment has successfully incorporated cloud computing technology and cloud resources into its primarily grid-based model of distributed computing. Cloud R&D activities continue to mature and transition into stable production systems, while ongoing evolutionary changes are still needed to adapt and refine the approaches used, in response to changes in prevailing cloud technology. In addition, completely new developments are needed to handle emerging requirements. This paper describes the overall evolution of cloud computing in ATLAS. The current status of the virtual machine (VM) management systems used for harnessing infrastructure as a service (IaaS) resources are discussed. Monitoring and accounting systems tailored for clouds are needed to complete the integration of cloud resources within ATLAS' distributed computing framework. We are developing and deploying new solutions to address the challenge of operation in a geographically distributed multi-cloud scenario, including a system for ma...

  6. VOLUMETRIC SNAPPING: WATERTIGHT TRIANGULATION OF POINT CLOUDS

    E-Print Network [OSTI]

    Floater, Michael S.

    VOLUMETRIC SNAPPING: WATERTIGHT TRIANGULATION OF POINT CLOUDS Tim Volodine KULeuven, Department: meshing, surface reconstruction, volumetric grid, contouring, point clouds. Abstract: We propose, a volumetric method that does not rely on a signed distance function was proposed recently by Hornung

  7. Changes in high cloud conditions 

    E-Print Network [OSTI]

    Himebrook, Richard Frank

    1974-01-01

    of contrails, while in a more humid environment contrails wi. ll form. ilovis et al. (1970) showed that, over the 0. 68-2. 4p wavelength interval, "naturally" formed ice clouds and a fresh contrail show different signatures (which could be observed... prime cause for a change in the amount of high clouds, the Location of stations with respect to the jet routes was also reviewed. Atlanta, Ceorgia, was selected because it is a ma ~or air Lr r- minal and its upper-air liow advects jet...

  8. AnonymousCloud: A Data Ownership Privacy Provider Framework in Cloud Computing

    E-Print Network [OSTI]

    Hamlen, Kevin W.

    AnonymousCloud: A Data Ownership Privacy Provider Framework in Cloud Computing Safwan Mahmud Khan their computation results are ultimately delivered. To provide this data ownership privacy, the cloud's distributed-anonymity; authentication; cloud computing; in- formation security; privacy; Tor I. INTRODUCTION Revolutionary advances

  9. CloudHKA: A Cryptographic Approach for Hierarchical Access Control in Cloud Computing

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    CloudHKA: A Cryptographic Approach for Hierarchical Access Control in Cloud Computing Yi-Ruei Chen1, cloud computing, proxy re-encryption 1 Introduction Outsourcing data to cloud server (CS) becomes , Cheng-Kang Chu2 , Wen-Guey Tzeng3 , and Jianying Zhou4 1,3 Department of Computer Science, National

  10. CLOUD COMPUTING AND INFORMATION POLICY 1 Cloud Computing and Information Policy

    E-Print Network [OSTI]

    Daume III, Hal

    . Keywords: cloud computing, information policy, rechnology policy, grid computing, security, privacyCLOUD 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

  11. IsYour Network Cloud Ready? Network EnableYour Cloud With MPLSVPNs

    E-Print Network [OSTI]

    Greenberg, Albert

    -enabled cloud that is highly-secure and reliable. It is critical for enterprises to evaluate a network, but the high level of shared infrastructure creates concerns about security risks.As a result, the public cloudIsYour Network Cloud Ready? Network EnableYour Cloud With MPLSVPNs A FROST & SULLIVAN EXECUTIVE

  12. Home is Safer than the Cloud! Privacy Concerns for Consumer Cloud Storage

    E-Print Network [OSTI]

    for sensitive data over cloud storage. However, users desire better security and are ready to pay for services storage systems. General Terms Human Factors, Security, Privacy. Keywords Cloud Storage, Social FactorsHome is Safer than the Cloud! Privacy Concerns for Consumer Cloud Storage Iulia Ion , Niharika

  13. CloudWatcher: Network Security Monitoring Using OpenFlow in Dynamic Cloud Networks

    E-Print Network [OSTI]

    Gu, Guofei

    CloudWatcher: Network Security Monitoring Using OpenFlow in Dynamic Cloud Networks (or: How to Provide Security Monitoring as a Service in Clouds?) Seungwon Shin SUCCESS Lab Texas A&M University Email, basically, we can employ existing network security devices, but applying them to a cloud network requires

  14. StressCloud: A Tool for Analysing Performance and Energy Consumption of Cloud Applications

    E-Print Network [OSTI]

    Yang, Yun

    StressCloud: A Tool for Analysing Performance and Energy Consumption of Cloud Applications Feifei. It requires the evaluation of system performance and energy consumption under a wide variety of realistic and energy consumption analysis tool for cloud applications in real-world cloud environments. Stress

  15. THREE-DIMENSIONAL CLOUD STRUCTURE OBSERVED DURING DOE ARM'S 2009 CLOUD TOMOGRAPHY FIELD EXPERIMENT

    E-Print Network [OSTI]

    THREE-DIMENSIONAL CLOUD STRUCTURE OBSERVED DURING DOE ARM'S 2009 CLOUD TOMOGRAPHY FIELD EXPERIMENT on Cloud Physics, Portland, OR June 28-July 2, 2010 Environmental Sciences Department/Atmospheric Sciences Atmospheric Radiation Measurement (ARM)'s cloud tomography Intensive Observation Period (IOP

  16. 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

  17. Cloud seeding as a technique for studying aerosol-cloud interactions in marine stratocumulus

    E-Print Network [OSTI]

    Miami, University of

    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

  18. Cloud Verifier: Verifiable Auditing Service for IaaS Clouds Joshua Schiffman

    E-Print Network [OSTI]

    Jaeger, Trent

    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

  19. Cloud Tracking in Cloud-Resolving Models R. S. Plant1

    E-Print Network [OSTI]

    Plant, Robert

    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

  20. The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise

    E-Print Network [OSTI]

    Sommerville, Ian

    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

  1. Comparison of MISR and MODIS cloud-top heights in the presence of cloud overlap

    E-Print Network [OSTI]

    Baum, Bryan A.

    Comparison of MISR and MODIS cloud-top heights in the presence of cloud overlap C.M. Naud a, , B July 2006; accepted 3 September 2006 Abstract Coincident MISR and MODIS cloud-top heights retrieved March 2000 and October 2003. The difference between MODIS and MISR cloud-top heights is assessed

  2. Ralf Klessen: PPV, Oct. 24, 2005 Molecular CloudMolecular Cloud

    E-Print Network [OSTI]

    Klessen,Ralf

    Ralf Klessen: PPV, Oct. 24, 2005 Molecular CloudMolecular Cloud Turbulence and Star formation three ,,steps" of star formation: 1.1. formation of molecular clouds in the disk of ourformation of molecular clouds in the disk of our galaxygalaxy 2.2. formation of protostellar coresformation

  3. Moving magnetic cloud -1Moving magnetic cloud -1 "Double change of frame" calculation...

    E-Print Network [OSTI]

    Hörandel, Jörg R.

    #12;19 Moving magnetic cloud - 1Moving magnetic cloud - 1 "Double change of frame" calculation... #12;eb. 2005 -- Cosmic-rays & Particle Acceleration -- E. Parizot (IPN Orsay) 21 Moving magnetic cloud - 2Moving magnetic cloud - 2 #12;Karlsruhe, 23-25 Feb. 2005 -- Cosmic-rays & Particle Acceleration

  4. To Cloud or Not to Cloud: Measuring the Performance of Mobile Gaming

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    To Cloud or Not to Cloud: Measuring the Performance of Mobile Gaming Chun-Ying Huang Department Tsing-Hua University Hsinchu, Taiwan chsu@cs.nthu.edu.tw ABSTRACT Mobile cloud gaming allows gamers an open source cloud gaming platform to conduct extensive experiments on real mobile clients. Our

  5. Determination of cloud liquid water distribution using 3D cloud tomography

    E-Print Network [OSTI]

    Determination of cloud liquid water distribution using 3D cloud tomography Dong Huang,1 Yangang Liu; published 2 July 2008. [1] The cloud microwave tomography method for remotely retrieving 3D distributions of cloud Liquid Water Content (LWC) was originally proposed by Warner et al. in the 1980s but has lain

  6. CloudTracker: Using Execution Provenance to Optimize the Cost of Cloud Use

    E-Print Network [OSTI]

    Bigelow, Stephen

    CloudTracker: Using Execution Provenance to Optimize the Cost of Cloud Use Geoffrey Douglas, Brian simulations using commercial clouds. We present a framework, called CLOUDTRACKER, that transparently records information from a simula- tion that is executed in a commercial cloud so that it may be "replayed" exactly

  7. The Open Cloud Testbed: A Wide Area Testbed for Cloud Computing Utilizing

    E-Print Network [OSTI]

    Grossman, Robert

    The Open Cloud Testbed: A Wide Area Testbed for Cloud Computing Utilizing High Performance Network of cloud platforms and services have been developed for data intensive computing, including Hadoop, Sector, CloudStore (formerly KFS), HBase, and Thrift. In order to benchmark the performance of these systems

  8. U.S. Total Exports

    Gasoline and Diesel Fuel Update (EIA)

    Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA LNG Exports from Babb, MT LNG Exports from Buffalo, NY LNG Exports from Kenai, AK LNG Exports...

  9. Estimation of the cloud transmittance from radiometric measurements at the ground level

    SciTech Connect (OSTI)

    Costa, Dario; Mares, Oana

    2014-11-24

    The extinction of solar radiation due to the clouds is more significant than due to any other atmospheric constituent, but it is always difficult to be modeled because of the random distribution of clouds on the sky. Moreover, the transmittance of a layer of clouds is in a very complex relation with their type and depth. A method for estimating cloud transmittance was proposed in Paulescu et al. (Energ. Convers. Manage, 75 690–697, 2014). The approach is based on the hypothesis that the structure of the cloud covering the sun at a time moment does not change significantly in a short time interval (several minutes). Thus, the cloud transmittance can be calculated as the estimated coefficient of a simple linear regression for the computed versus measured solar irradiance in a time interval ?t. The aim of this paper is to optimize the length of the time interval ?t. Radiometric data measured on the Solar Platform of the West University of Timisoara during 2010 at a frequency of 1/15 seconds are used in this study.

  10. The Cloud Computing and Other Variables

    E-Print Network [OSTI]

    Borjon-Kubota, Martha Estela

    2011-01-01

    bodies. Saturated. We watch clouds simmer over the stillnessnoise like a fountain spring simmers between your thighs. A

  11. Centrifugal Modeling of Subsidence of Landfill Covers [abstract

    E-Print Network [OSTI]

    Sterling, Harry; Ronayne, Michael

    1984-01-01

    j "Centrifugal Moueling of Subsidence of Landfill Covers" bysites may result in subsidence of the soil cover system.Following subsidence, water flow through the cover may rise

  12. 2014 Wind Program Peer Review Report Cover | Department of Energy

    Office of Environmental Management (EM)

    Cover 2014 Wind Program Peer Review Report.JPG More Documents & Publications 2014 Water Power Peer Review Report Cover 2013 Wind Technologies Market Report Cover Energy...

  13. DOE-L.__ PROPOSAL PREPARATION INSTRUCTIONS - COVER LETTER AND

    Office of Environmental Management (EM)

    L. PROPOSAL PREPARATION INSTRUCTIONS - COVER LETTER AND VOLUME I, OFFER AND OTHER DOCUMENTS (a) Instruction - Cover Letter. The cover letter shall include, but not be limited to,...

  14. 2013 Distributed Wind Market Report Cover | Department of Energy

    Office of Environmental Management (EM)

    & Publications U.S. Wind Energy Manufacturing & Supply Chain Cover Photo 2013 Wind Technologies Market Report Cover 2014 Offshore Wind Market & Economic Analysis Cover Photo...

  15. Secured Data Consistency and Storage Way in Untrusted Cloud using Server Management Algorithm

    E-Print Network [OSTI]

    Dinesh, C

    2011-01-01

    It is very challenging part to keep safely all required data that are needed in many applications for user in cloud. Storing our data in cloud may not be fully trustworthy. Since client doesn't have copy of all stored data, he has to depend on Cloud Service Provider. But dynamic data operations, Read-Solomon and verification token construction methods don't tell us about total storage capacity of server allocated space before and after the data addition in cloud. So we have to introduce a new proposed system of efficient storage measurement and space comparison algorithm with time management for measuring the total allocated storage area before and after the data insertion in cloud. So by using our proposed scheme, the value or weight of stored data before and after is measured by client with specified time in cloud storage area with accuracy. And here we also have proposed the multi-server restore point in server failure condition. If there occurs any server failure, by using this scheme the data can be reco...

  16. Auditing the Structural Reliability of the Clouds

    E-Print Network [OSTI]

    Haller, Gary L.

    . Icebergs in the Clouds: the Other Risks of Cloud Computing. In HotCloud, 2012. #12;Correlated Failures of occurrences. #12;Talk Outline Challenges Our approach Evaluation #12;Talk Outline Challenges Our approach Evaluation #12;Challenges 1. How to acquire dependency information automatically? 2. How to organize

  17. Towards a Ubiquitous Cloud Computing Infrastructure

    E-Print Network [OSTI]

    van der Merwe, Kobus

    Towards a Ubiquitous Cloud Computing Infrastructure Jacobus Van der Merwe, K.K. Ramakrishnan of a number of cloud computing use cases. We specifically consider cloudbursting and follow-the-sun and focus that are also network service providers. I. INTRODUCTION Cloud computing is rapidly gaining acceptance

  18. Cloud Security: Issues and Concerns Pierangela Samarati*

    E-Print Network [OSTI]

    Samarati, Pierangela

    1 Cloud Security: Issues and Concerns Authors Pierangela Samarati* Universitŕ 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

  19. Security Architecture for Federated Mobile Cloud Computing

    E-Print Network [OSTI]

    Xu, Shouhuai

    Security Architecture for Federated Mobile Cloud Computing Shouhuai Xu and E. Paul Ratazzi, federated mobile cloud computing imposes a diverse set of new chal- lenges, especially from a security clouds for security purposes? How should we deal with the tar- geted attackers that attempt to launch

  20. VULCAN: Vulnerability Assessment Framework for Cloud Computing

    E-Print Network [OSTI]

    Kavi, Krishna

    services on Cloud is complex because the security depends on the vulnerability of infrastructure, platform services on Cloud is complex because the security depends on the vulnerability of infrastruc- ture?". Or "I want to host this software application in this cloud environment, what security vulnerabilities I

  1. Cloud Enterprise Storage and Data Migration

    E-Print Network [OSTI]

    Christensen, Henrik Bćrbak

    Cloud Enterprise Storage and Data Migration 20097733 Bobby Nielsen, 20003686 Frederik Kierbye}@cs.au.dk 20130324 Abstract This document presents a research in Enterprise Cloud Storage and Data Migration. The hypothesis is that, it is easy to migrate data between cloud platforms, including changing api

  2. MEBSURIXG CLOUD MOVEMENTS A Science Service Feature

    E-Print Network [OSTI]

    -.- - MEBSURIXG CLOUD MOVEMENTS I A Science Service Feature Released upon receist but intended on Meteorology Vatching the clouds drift by, a traditional pastime of idle people, i s part Of the professional his head. He makes his cloud observations w i t h the aid of an instrument known as a nei

  3. Relationships between expanding pinyonjuniper cover and topography

    E-Print Network [OSTI]

    Bradley, Bethany

    ORIGINAL ARTICLE Relationships between expanding pinyon­juniper cover and topography in the central conifer cover and topography. Location The central Great Basin in the state of Nevada, USA. Methods We­juniper woodland and topography can inform regional land management and improve projections of long-term ecosystem

  4. Ice Cover on the Great Lakes NATIONALOCEANIC

    E-Print Network [OSTI]

    : In the shallow waters where whitefish spawn, ice cover protects their eggs from destructive wind and wave action://coastwatch.glerl.noaa.gov/glsea/cur/glsea_cur.png #12;GLERL Research Forecast capability The capability to forecast and predict ice cover is important for recreational safety and rescue efforts as well as for navigation, weather forecasting, adapting to lake level

  5. Unlocking the Secrets of Clouds

    Broader source: Energy.gov [DOE]

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

  6. ARM Data for Cloud Parameterization

    SciTech Connect (OSTI)

    Xu, Kuan-Man

    2006-10-02

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

  7. The Spitzer survey of interstellar clouds in the gould belt. VI. The Auriga-California molecular cloud observed with IRAC and MIPS

    SciTech Connect (OSTI)

    Broekhoven-Fiene, Hannah; Matthews, Brenda C. [Department of Physics and Astronomy, University of Victoria, Victoria, BC, V8W 3P6 (Canada); Harvey, Paul M. [Astronomy Department, University of Texas at Austin, 1 University Station C1400, Austin, TX 78712-0259 (United States); Gutermuth, Robert A. [Department of Astronomy, University of Massachusetts, Amherst, MA (United States); Huard, Tracy L.; Miller, Jennifer F. [Department of Astronomy, University of Maryland, College Park, MD 20742 (United States); Tothill, Nicholas F. H. [School of Computing, Engineering and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, NSW 2751 (Australia); Nutter, David [School of Physics and Astronomy, Cardiff University, Queen's Buildings, The Parade, Cardiff CF24 3AA (United Kingdom); Bourke, Tyler L. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); DiFrancesco, James [National Research Council Herzberg Astronomy and Astrophysics, Victoria, BC, V9E 2E7 (Canada); Jřrgensen, Jes K. [Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, DK-DK-2100 Copenhagen Ř. (Denmark); Allen, Lori E. [National Optical Astronomy Observatories, Tucson, AZ (United States); Chapman, Nicholas L. [Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) and Department of Physics and Astronomy, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208 (United States); Dunham, Michael M. [Department of Astronomy, Yale University, P.O. Box 208101, New Haven, CT 06520 (United States); Merín, Bruno [Herschel Science Centre, ESAC-ESA, P.O. Box 78, E-28691 Villanueva de la Cańada, Madrid (Spain); Terebey, Susan [Department of Physics and Astronomy PS315, 5151 State University Drive, California State University at Los Angeles, Los Angeles, CA 90032 (United States); Peterson, Dawn E. [Space Science Institute, 4750 Walnut Street, Suite 205, Boulder, CO 80301 (United States); and others

    2014-05-01

    We present observations of the Auriga-California Molecular Cloud (AMC) at 3.6, 4.5, 5.8, 8.0, 24, 70, and 160 ?m observed with the IRAC and MIPS detectors as part of the Spitzer Gould Belt Legacy Survey. The total mapped areas are 2.5 deg{sup 2} with IRAC and 10.47 deg{sup 2} with MIPS. This giant molecular cloud is one of two in the nearby Gould Belt of star-forming regions, the other being the Orion A Molecular Cloud (OMC). We compare source counts, colors, and magnitudes in our observed region to a subset of the SWIRE data that was processed through our pipeline. Using color-magnitude and color-color diagrams, we find evidence for a substantial population of 166 young stellar objects (YSOs) in the cloud, many of which were previously unknown. Most of this population is concentrated around the LkH? 101 cluster and the filament extending from it. We present a quantitative description of the degree of clustering and discuss the relative fraction of YSOs in earlier (Class I and F) and later (Class II) classes compared to other clouds. We perform simple SED modeling of the YSOs with disks to compare the mid-IR properties to disks in other clouds and identify 14 classical transition disk candidates. Although the AMC is similar in mass, size, and distance to the OMC, it is forming about 15-20 times fewer stars.

  8. An Accurate Distance to High-Velocity Cloud Complex C

    E-Print Network [OSTI]

    C. Thom; J. E. G. Peek; M. E. Putman; Carl Heiles; K. M. G. Peek; R. Wilhelm

    2008-04-23

    We report an accurate distance of d = 10+/-2.5kpc to the high-velocity cloud Complex C. Using high signal-to-noise Keck/HIRES spectra of two horizontal-branch stars, we have detected CaII K absorption lines from the cloud. Significant non-detections toward a further 3 stars yield robust lower distance limits. The resulting HI mass of Complex C is 4.9^{+2.8}_{-2.2} x 10^6 Msun; a total mass of 8.2^{+4.6}_{-2.6} x 10^6 Msun is implied, after corrections for helium and ionization. At 10kpc, Complex C has physical dimensions 3x15 kpc, and if it is as thick as it is wide, then the average density is log ~ -2.5. We estimate the contribution of Complex C to the mass influx may be as high as ~0.14 Msun/yr.

  9. 2014 Water Power Peer Review Report Cover | Department of Energy

    Office of Environmental Management (EM)

    Peer Review Report Cover 2014 Water Power Peer Review Report Cover 2014 Water Power Peer Review Report Cover.JPG More Documents & Publications NOWEGIS Report Cover Water Power For...

  10. How Long Can Tiny HI Clouds Survive?

    E-Print Network [OSTI]

    Masahiro Nagashima; Shu-ichiro Inutsuka; Hiroshi Koyama

    2006-03-10

    We estimate the evaporation timescale for spherical HI clouds consisting of the cold neutral medium surrounded by the warm neutral medium. We focus on clouds smaller than 1pc, which corresponds to tiny HI clouds recently discovered by Braun & Kanekar and Stanimirovi{\\'c} & Heiles. By performing one-dimensional spherically symmetric numerical simulations of the two-phase interstellar medium (ISM), we derive the timescales as a function of the cloud size and of pressure of the ambient warm medium. We find that the evaporation timescale of the clouds of 0.01 pc is about 1Myr with standard ISM pressure, $p/k_{B}\\sim 10^{3.5}$ K cm$^{-3}$, and for clouds larger than about 0.1 pc it depends strongly on the pressure. In high pressure cases, there exists a critical radius for clouds growing as a function of pressure, but the minimum critical size is $\\sim$ 0.03 pc for a standard environment. If tiny HI clouds exist ubiquitously, our analysis suggests two implications: tiny HI clouds are formed continuously with the timescale of 1Myr, or the ambient pressure around the clouds is much higher than the standard ISM pressure. We also find that the results agree well with those obtained by assuming quasi-steady state evolution. The cloud-size dependence of the timescale is well explained by an analytic approximate formula derived by Nagashima, Koyama & Inutsuka. We also compare it with the evaporation rate given by McKee & Cowie.

  11. Monitoring urban land cover change: An expert system approach to land cover classification

    E-Print Network [OSTI]

    Ramsey, Michael

    such as land use data, spatial texture, and digital elevation models (DEMs) to obtain greater classificationMonitoring urban land cover change: An expert system approach to land cover classification with Landsat Thematic Mapper (TM) data to derive a land cover classification for the semiarid Phoenix

  12. Equivalence demonstration of an alternative cover system 307 EQUIVALENCE DEMONSTRATION OF AN ALTERNATIVE COVER SYSTEM

    E-Print Network [OSTI]

    Zornberg, Jorge G.

    at the Operating Industries, Inc. (OII) Superfund landfill in southern California. Infiltration control of the closure design show that an evapotranspirative cover is feasible at the site for a wide range engineered components of municipal and hazardous waste landfills is the cover system. The cover system should

  13. Covered Product Category: Exterior Lighting | Department of Energy

    Energy Savers [EERE]

    & Technologies Energy-Efficient Products Covered Product Category: Exterior Lighting Covered Product Category: Exterior Lighting The Federal Energy Management Program...

  14. MUJERES TOTAL BIOLOGIA 21 32

    E-Print Network [OSTI]

    Autonoma de Madrid, Universidad

    CIENCIAS ECON�MICAS Y EMPRESARIALES TOTAL DERECHO Nº de tesis leídas y aprobadas por centro y departamento en el año 2014 CENTRO DEPARTAMENTO Nº DE TESIS CIENCIAS MEDICINA TOTAL MEDICINA #12;MUJERES TOTAL Nº de tesis leídas y aprobadas por centro y departamento en el año 2014 CENTRO DEPARTAMENTO Nº DE TESIS

  15. Global and regional modeling of clouds and aerosols in the marine boundary layer during VOCALS: the VOCA intercomparison

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

    Wyant, M. C.; Bretherton, Christopher S.; Wood, Robert; Carmichael, Gregory; Clarke, A. D.; Fast, Jerome D.; George, R.; Gustafson, William I.; Hannay, Cecile; Lauer, Axel; et al

    2015-01-09

    A diverse collection of models are used to simulate the marine boundary layer in the southeast Pacific region during the period of the October–November 2008 VOCALS REx (VAMOS Ocean Cloud Atmosphere Land Study Regional Experiment) field campaign. Regional models simulate the period continuously in boundary-forced free-running mode, while global forecast models and GCMs (general circulation models) are run in forecast mode. The models are compared to extensive observations along a line at 20° S extending westward from the South American coast. Most of the models simulate cloud and aerosol characteristics and gradients across the region that are recognizably similar tomore »observations, despite the complex interaction of processes involved in the problem, many of which are parameterized or poorly resolved. Some models simulate the regional low cloud cover well, though many models underestimate MBL (marine boundary layer) depth near the coast. Most models qualitatively simulate the observed offshore gradients of SO2, sulfate aerosol, CCN (cloud condensation nuclei) concentration in the MBL as well as differences in concentration between the MBL and the free troposphere. Most models also qualitatively capture the decrease in cloud droplet number away from the coast. However, there are large quantitative intermodel differences in both means and gradients of these quantities. Many models are able to represent episodic offshore increases in cloud droplet number and aerosol concentrations associated with periods of offshore flow. Most models underestimate CCN (at 0.1% supersaturation) in the MBL and free troposphere. The GCMs also have difficulty simulating coastal gradients in CCN and cloud droplet number concentration near the coast. The overall performance of the models demonstrates their potential utility in simulating aerosol–cloud interactions in the MBL, though quantitative estimation of aerosol–cloud interactions and aerosol indirect effects of MBL clouds with these models remains uncertain.« less

  16. Global and regional modeling of clouds and aerosols in the marine boundary layer during VOCALS: the VOCA intercomparison

    SciTech Connect (OSTI)

    Wyant, M. C.; Bretherton, Christopher S.; Wood, Robert; Carmichael, Gregory; Clarke, A. D.; Fast, Jerome D.; George, R.; Gustafson, William I.; Hannay, Cecile; Lauer, Axel; Lin, Yanluan; Morcrette, J. -J.; Mulcahay, Jane; Saide, Pablo; Spak, S. N.; Yang, Qing

    2015-01-01

    A diverse collection of models are used to simulate the marine boundary layer in the southeast Pacific region during the period of the October–November 2008 VOCALS REx (VAMOS Ocean Cloud Atmosphere Land Study Regional Experiment) field campaign. Regional models simulate the period continuously in boundary-forced free-running mode, while global forecast models and GCMs (general circulation models) are run in forecast mode. The models are compared to extensive observations along a line at 20° S extending westward from the South American coast. Most of the models simulate cloud and aerosol characteristics and gradients across the region that are recognizably similar to observations, despite the complex interaction of processes involved in the problem, many of which are parameterized or poorly resolved. Some models simulate the regional low cloud cover well, though many models underestimate MBL (marine boundary layer) depth near the coast. Most models qualitatively simulate the observed offshore gradients of SO2, sulfate aerosol, CCN (cloud condensation nuclei) concentration in the MBL as well as differences in concentration between the MBL and the free troposphere. Most models also qualitatively capture the decrease in cloud droplet number away from the coast. However, there are large quantitative intermodel differences in both means and gradients of these quantities. Many models are able to represent episodic offshore increases in cloud droplet number and aerosol concentrations associated with periods of offshore flow. Most models underestimate CCN (at 0.1% supersaturation) in the MBL and free troposphere. The GCMs also have difficulty simulating coastal gradients in CCN and cloud droplet number concentration near the coast. The overall performance of the models demonstrates their potential utility in simulating aerosol–cloud interactions in the MBL, though quantitative estimation of aerosol–cloud interactions and aerosol indirect effects of MBL clouds with these models remains uncertain.

  17. Graphical methods for evaluating covering arrays

    SciTech Connect (OSTI)

    Kim, Youngil; Jang, Dae -Heung; Anderson-Cook, Christine M.

    2015-08-10

    Covering arrays relax the condition of orthogonal arrays by only requiring that all combination of levels be covered but not requiring that the appearance of all combination of levels be balanced. This allows for a much larger number of factors to be simultaneously considered but at the cost of poorer estimation of the factor effects. To better understand patterns between sets of columns and evaluate the degree of coverage to compare and select between alternative arrays, we suggest several new graphical methods that show some of the patterns of coverage for different designs. These graphical methods for evaluating covering arrays are illustrated with a few examples.

  18. Graphical methods for evaluating covering arrays

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

    Kim, Youngil; Jang, Dae -Heung; Anderson-Cook, Christine M.

    2015-08-10

    Covering arrays relax the condition of orthogonal arrays by only requiring that all combination of levels be covered but not requiring that the appearance of all combination of levels be balanced. This allows for a much larger number of factors to be simultaneously considered but at the cost of poorer estimation of the factor effects. To better understand patterns between sets of columns and evaluate the degree of coverage to compare and select between alternative arrays, we suggest several new graphical methods that show some of the patterns of coverage for different designs. These graphical methods for evaluating covering arraysmore »are illustrated with a few examples.« less

  19. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    1.4 0.4 0.5 1.0 1.2 1.4 2.1 1.3 Table HC5.2 Living Space Characteristics by Year of Construction, 2005 Living Space Characteristics 1970 to 1979 1980 to 1989 1990 to 1999 2000 to...

  20. Total..........................................................

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

    Table HC7.7 Air-Conditioning Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal Assistance 1 2005 Household Income Housing Units (millions)...

  1. Total..........................................................

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

    ... 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump... 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat...

  2. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    em... 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump... 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat...

  3. Total..........................................................

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

    ... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump... 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat...

  4. Total..........................................................

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

    1.5 2.3 3.0 6.0 For Two Housing Units... 0.9 0.3 0.4 Q Q N Q 0.4 Heat Pump... 9.2 1.2 2.2 2.0 1.3 2.4 0.6 1.9...

  5. Total..........................................................

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

    ... 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump... 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a...

  6. Total..........................................................

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

    tem... 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump... 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat...

  7. Total..........................................................

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

    75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Most-Used Personal Computer Type of PC Desk-top Model... 58.6 7.6 14.2 13.1 9.2 14.6 5.0 14.5 Laptop...

  8. Total..........................................................

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

    75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model... 58.6 22.9 9.8 14.1 11.9...

  9. Total..........................................................

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

    ... 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model... 58.6 14.1 10.0 4.0...

  10. Total..........................................................

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

    75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model... 58.6 10.4 14.1 20.5 13.7...

  11. Total..........................................................

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

    ... 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model... 58.6 20.5 11.0 3.4 6.1...

  12. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    ... 0.7 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)... 45.0 11.4 8.1 3.3 Flat-panel...

  13. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    ... 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)... 45.0 7.9 11.4 15.4 10.2 Flat-panel...

  14. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    ... 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)... 45.0 2.3 2.5 3.1 4.8...

  15. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    ... 0.7 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)... 45.0 7.9 5.6 2.4 Flat-panel...

  16. Total..........................................................

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    ... 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)... 45.0 15.4 7.9 2.8 4.8 Flat-panel...

  17. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    ... 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)... 45.0 17.7 7.5 10.2 9.6 Flat-panel...

  18. Total..........................................................

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

    ... 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model... 58.6 13.7 4.2 9.5 Laptop...

  19. Total..........................................................

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    ... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)... 45.0 10.2 3.2 7.0 Flat-panel...

  20. Total..........................................................

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    ... 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model... 58.6 3.2 3.9 4.0 6.7...

  1. Total..........................................................

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    1.2 0.5 0.9 3 or More... 0.6 Q Q Q Q Q N Q Plasma Television Sets... 3.6 0.6 0.8 0.5 0.6 1.2 0.3 0.9...

  2. Total..........................................................

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

    Q 0.4 3 or More Units... 5.4 0.3 Q Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  3. Total..........................................................

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

    ... 1.9 1.1 Q Q 0.3 Q Do Not Use Central Air-Conditioning... 45.2 24.6 3.6 5.0 8.8 3.2 Use a Programmable...

  4. Total..........................................................

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

    3.3 2.9 Q Q Q N For Two Housing Units... 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace... 2.8 2.4 Q Q Q 0.2 Other...

  5. Total..........................................................

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

    3 or More Units... 5.4 2.4 1.4 0.7 0.9 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  6. Total..........................................................

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

    s... 58.2 9.2 4.9 7.8 7.1 8.8 8.4 7.8 4.2 Central Warm-Air Furnace... 44.7 5.2 3.1 5.6 5.2 7.1 7.4 7.3 3.9 For...

  7. Total..........................................................

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

    3 or More Units... 5.4 2.3 1.7 0.6 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  8. Total..........................................................

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

    3 or More Units... 5.4 2.1 0.9 0.2 1.0 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  9. Total..........................................................

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

    38.9 12.9 Have Equipment But Do Not Use it... 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System......

  10. Total..........................................................

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

    0.3 3 or More Units... 5.4 0.7 0.5 Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  11. Total..........................................................

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

    3 or More Units... 5.4 2.3 0.7 2.1 0.3 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  12. Total..............................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4 12.55.6 111.1 86.6

  13. Total................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4 12.55.6 111.1

  14. Total........................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4 12.55.6 111.1 111.1

  15. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4 12.55.6 111.1

  16. Total...........................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4 12.55.6 111.1Q

  17. Total...........................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4 12.55.6 111.1QQ

  18. Total...........................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4 12.55.6 111.1QQ14.7

  19. Total...........................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4 12.55.6

  20. Total............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4

  1. Total............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.4

  2. Total.............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8 20.6 13.1

  3. Total..............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8 20.6

  4. Total..............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8 20.6Do Not

  5. Total...............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8 20.6Do

  6. Total...............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8 20.6Do0.7

  7. Total...............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8

  8. Total...............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do Not Have

  9. Total...............................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do Not

  10. Total................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do Not

  11. Total.................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do Not49.2

  12. Total.................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do

  13. Total.................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do26.7 28.8

  14. Total..................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do26.7

  15. Total..................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do26.733.0

  16. Total..................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7 28.8Do26.733.0.

  17. Total...................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.7

  18. Total...................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.2 7.8 1.0 1.2

  19. Total...................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.2 7.8 1.0

  20. Total...................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.2 7.8 1.0Type

  1. Total...................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.2 7.8

  2. Total....................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.2 7.814.7 7.4

  3. Total.......................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.2 7.814.7

  4. Total.......................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.2 7.814.75.6

  5. Total.......................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.2

  6. Total........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.225.6 40.7

  7. Total........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.225.6

  8. Total........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.225.65.6 17.7

  9. Total........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.225.65.6

  10. Total........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7 7.426.715.225.65.64.2

  11. Total........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.7

  12. Total........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.7 22.3 Do

  13. Total.........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.7 22.3

  14. Total..........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.7 22.325.6

  15. Total..........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.7 22.325.6.

  16. Total..........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.7

  17. Total..........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.70.7 21.7

  18. Total..........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.70.7 21.74.2

  19. Total..........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.70.7

  20. Total..........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.70.77.1 19.0

  1. Total...........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.70.77.1

  2. Total...........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0 22.70.77.15.6

  3. Total...........................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0

  4. Total.............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0Do Not Have

  5. Total.............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0Do Not

  6. Total.............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0Do NotCooking

  7. Total.............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0Do NotCookingDo

  8. Total.............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0Do

  9. Total.............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0DoCooking

  10. Total.............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0DoCookingDo Not

  11. Total.............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0DoCookingDo

  12. Total..............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 19.0DoCookingDo20.6

  13. Total..............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1

  14. Total..............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1 7.0 8.0

  15. Total..............................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1 7.0 8.07.1

  16. Total.................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1 7.0

  17. Total.................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1 7.07.1 7.0

  18. Total....................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1 7.07.1

  19. Total....................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1 7.07.15.6

  20. Total....................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1

  1. Total....................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1Personal

  2. Total....................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 7.1Personal4.2

  3. Total....................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1

  4. Total....................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 111.1 47.1

  5. Total.........................................................................................

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight.... 111.1 14.77.1 111.1 111.1

  6. Total

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672(MillionFeet) Oil4)5,Product:

  7. Total

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672(MillionFeet)

  8. Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. Part I: Single layer cloud

    E-Print Network [OSTI]

    Klein, Stephen A.

    2009-01-01

    humidity above stratiform clouds on indirect aerosol climateOverview of Arctic cloud and radiation characteristics. J.of Arctic low-level clouds observed during the FIRE Arctic

  9. Swimming Pool Covers | Department of Energy

    Office of Environmental Management (EM)

    Gas Heating Costs and Savings Use of a pool cover also can help reduce the size of a solar pool heating system, which can save money. How They Work Swimming pools lose energy in...

  10. Swimming Pool Covers | Department of Energy

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

    of heating pools with and without pool covers in different U.S. cities: Estimating Heat Pump Swimming Pool Heater Costs and Savings Estimating Swimming Pool Gas Heating Costs...

  11. FUNDAMENTAL GROUPS AND COVERING SPACES ETHAN JERZAK

    E-Print Network [OSTI]

    May, J. Peter

    FUNDAMENTAL GROUPS AND COVERING SPACES ETHAN JERZAK Abstract. In this paper, I will briefly develop) Date: August 22, 2008. 1 #12;2 ETHAN JERZAK the structure of a group; the constant loop is the identity

  12. CERTIFICATION REGARDING LOBBYING LOWER TIER COVERED TRANSACTIONS

    E-Print Network [OSTI]

    Kurapov, Alexander

    , or an employee of a Member of Congress in connection with this commitment providing for the United StatesCERTIFICATION REGARDING LOBBYING LOWER TIER COVERED TRANSACTIONS Applicants should review

  13. Covered Product Category: Residential Electric Resistance Water...

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

    with capacities of 20 to 120 gallons and maximum energy input of 12 kW. Residential heat pump and gas storage water heaters are covered by ENERGY STAR. Boilers, swimming pool...

  14. Features . . . Cover Crop Value to Cotton

    E-Print Network [OSTI]

    Watson, Craig A.

    .............................................................................................Page 6 Fuel Prices Projections - Encouraging News .......................Page 7 Agronomy Notes VolumeFeatures . . . Cotton Cover Crop Value to Cotton Cotton Price and Rotation ..............................................................Page 5 Miscellaneous Large differences in nitrogen prices.......................................Page 6

  15. The Thermal Collector With Varied Glass Covers

    SciTech Connect (OSTI)

    Luminosu, I.; Pop, N.

    2010-08-04

    The thermal collector with varied glass covers represents an innovation realized in order to build a collector able to reach the desired temperature by collecting the solar radiation from the smallest surface, with the highest efficiency. In the case of the thermal collector with variable cover glasses, the number of the glass plates covering the absorber increases together with the length of the circulation pipe for the working fluid. The thermal collector with varied glass covers compared to the conventional collector better meet user requirements because: for the same temperature increase, has the collecting area smaller; for the same collection area, realizes the highest temperature increase and has the highest efficiency. This works is addressed to researchers in the solar energy and to engineers responsible with air-conditioning systems design or industrial and agricultural products drying.

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

    E-Print Network [OSTI]

    Lave, Matthew; Kleissl, Jan

    2013-01-01

    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

  17. Repositioning of Covered Stents: The Grip Technique

    SciTech Connect (OSTI)

    Kirby, John Martin; Guo Xiaofeng; Midia, Mehran

    2011-06-15

    Introduction: Retrieval and repositioning of a stent deployed beyond its intended target region may be a difficult technical challenge. Materials and Methods: A balloon-mounted snare technique, a variant of the coaxial loop snare technique, is described. Results: The technique is described for the repositioning of a covered transjugular intrahepatic portosystemic shunt stent and a covered biliary stent. Conclusion: The balloon-mounted snare technique is a useful technique for retrieval of migrated stents.

  18. MUJERES ( * ) TOTAL BIOLOGA 16 22

    E-Print Network [OSTI]

    Autonoma de Madrid, Universidad

    13 INGENIERÍA INFORMÁTICA 2 11 TOTAL ESCUELA POLITÉCNICA SUPERIOR 2 11 ANTROPOLOGÍA SOCIAL Y TEORÍA DEL ARTE 1 1 LINGÜISTICA 4 7 MÚSICA 1 3 PREHISTORIA Y ARQUEOLOGÍA 0 1 TOTAL FILOSOFÍA Y LETRAS 22 Y EMPRESARIALES Fuente: Centro de Estudios de Posgrado, a 9 de Julio del 2010 DERECHO ESCUELA

  19. Measurement and Modeling of Shortwave Irradiance Components in Cloud-Free Atmospheres

    E-Print Network [OSTI]

    Measurement and Modeling of Shortwave Irradiance Components in Cloud-Free Atmospheres Rangasayi to classify the earth-atmospheric solar radiation into several components - direct solar surface irradiance (Edirect), diffuse-sky downward surface irradiance (Ediffuse), total surface irradiance, and upwelling flux

  20. Who Is Your Neighbor: Net I/O Performance Interference in Virtualized Clouds

    E-Print Network [OSTI]

    Liu, Ling

    centers, such as reducing total costs of ownership, improving energy efficiency, and resource utilization-depth understanding of performance factors that impact the efficiency and effectiveness of resource multiplexing management and tuning in virtualized clouds. First, colocating network-intensive workloads in isolated VMs

  1. Secure Cloud Computing with a Virtualized Network Infrastructure

    E-Print Network [OSTI]

    Akella, Aditya

    Secure Cloud Computing with a Virtualized Network Infrastructure Fang Hao, T.V. Lakshman, Sarit the rapid development in the field of cloud com- puting, security is still one of the major hurdles to cloud to users. At the other end of the spectrum, highly secured cloud services (e.g. Google "government cloud

  2. Fog Computing: Mitigating Insider Data Theft Attacks in the Cloud

    E-Print Network [OSTI]

    Keromytis, Angelos D.

    approach for securing data in the cloud using offensive decoy technology. We monitor data access security in a Cloud environment. I. INTRODUCTION Businesses, especially startups, small and medium busi. This is considered as one of the top threats to cloud computing by the Cloud Security Alliance [1]. While most Cloud

  3. Page 1Securing the Microsoft Cloud Securing the

    E-Print Network [OSTI]

    Chaudhuri, Surajit

    Page 1Securing the Microsoft Cloud Securing the Microsoft Cloud #12;Page 2Securing the Microsoft to have confidence in Microsoft as their preferred cloud provider. Our security policies and practices their security and compliance related needs. Securing the Microsoft Cloud #12;Page 3Securing the Microsoft Cloud

  4. The chemistry of fluorine-bearing molecules in diffuse and dense interstellar gas clouds

    E-Print Network [OSTI]

    Neufeld, D A; Schilke, P; Neufeld, David A.; Wolfire, Mark G.; Schilke, Peter

    2005-01-01

    We present a theoretical investigation of the chemistry of fluorine-bearing molecules in diffuse and dense interstellar gas clouds. The chemistry of interstellar fluorine is qualitatively different from that of any other element, because - unlike the neutral atoms of any other element found in diffuse or dense molecular clouds - atomic fluorine undergoes an exothermic reaction with molecular hydrogen. Over a wide range of conditions attained within interstellar gas clouds, the product of that reaction - hydrogen fluoride - is predicted to be the dominant gas-phase reservoir of interstellar fluorine nuclei. Our model predicts HF column densities ~ 1.E+13 cm-2 in dark clouds and column densities as large as 1.E-11 cm-2 in diffuse interstellar gas clouds with total visual extinctions as small as 0.1 mag. Such diffuse clouds will be detectable by means of absorption line spectroscopy of the J = 1 - 0 transition at 243.2 micron using the Stratospheric Observatory for Infrared Astronomy (SOFIA) and the Herschel Spa...

  5. ARSCL Cloud Statistics - A Value-Added Product

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsicloudden Documentation DataStreamsTotal OzoneStudy ofPlutoniumquarter 2003ARSCL Cloud

  6. Organizational challenges in cloud adoption and enablers of cloud transition program

    E-Print Network [OSTI]

    Rajendran, Sneha

    2013-01-01

    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 ...

  7. Aircraft Observations of Sub-cloud Aerosol and Convective Cloud Physical Properties 

    E-Print Network [OSTI]

    Axisa, Duncan

    2011-02-22

    This research focuses on aircraft observational studies of aerosol-cloud interactions in cumulus clouds. The data were collected in the summer of 2004, the spring of 2007 and the mid-winter and spring of 2008 in Texas, ...

  8. U.S. Total Exports

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Cameron, LA Sabine Pass, LA Total to United Kingdom Freeport, TX Sabine Pass, LA LNG Exports from Cameron, LA LNG Exports from Kenai, AK LNG Exports from Freeport, TX LNG Exports...

  9. Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomass and Biofuels BiomassAssembly of aCloud Spatial and

  10. Water, O2 and Ice in Molecular Clouds

    E-Print Network [OSTI]

    David Hollenbach; Michael J. Kaufman; Edwin A. Bergin; Gary J. Melnick

    2009-03-02

    We model the temperature and chemical structure of molecular clouds as a function of depth into the cloud, assuming a cloud of constant density n illuminated by an external FUV (6 eV < E < 13.6 eV) flux G_0 (scaling factor in multiples of the local interstellar field). Extending previous photodissociation region models, we include the freezing of species, simple grain surface chemistry, and desorption (including FUV photodesorption) of ices. We also treat the opaque cloud interior with time-dependent chemistry. Here, under certain conditions, gas phase elemental oxygen freezes out as water ice and the elemental C/O abundance ratio can exceed unity, leading to complex carbon chemistry. Gas phase H2O and O2 peak in abundance at intermediate depth into the cloud, roughly A_V~3-8 from the surface, the depth proportional to ln(G_0/n). Closer to the surface, molecules are photodissociated. Deeper into the cloud, molecules freeze to grain surfaces. At intermediate depths photodissociation rates are attenuated by dust extinction, but photodesorption prevents total freezeout. For G_0 < 500, abundances of H2O and O2 peak at values ~10^(-7), producing columns ~10^(15) per cm^2, independent of G_0 and n. The peak abundances depend primarily on the product of the photodesorption yield of water ice and the grain surface area per H nucleus. At higher values of G_0, thermal desorption of O atoms from grains enhances the gas phase H2O peak abundance and column slightly, whereas the gas phase O2 peak abundance rises to ~10^(-5) and the column to ~2x10^(16) per cm^2. We present simple analytic equations for the abundances as a function of depth which clarify the dependence on parameters. The models are applied to observations of H2O, O2, and water ice in a number of sources, including B68, NGC 2024, and Rho Oph.

  11. Fragmentation in rotating isothermal protostellar clouds

    SciTech Connect (OSTI)

    Bodenheimer, P.; Tohline, J.E.; Black, D.C.

    1980-01-01

    Results of an extensive set of 3-D hydrodynamic calculations that have been performed to investigate the susceptibility of rotating clouds to gravitational fragmentation are presented. (GHT)

  12. Interstellar Turbulence, Cloud Formation and Pressure Balance

    E-Print Network [OSTI]

    Enrique Vazquez-Semadeni

    1998-10-23

    We discuss HD and MHD compressible turbulence as a cloud-forming and cloud-structuring mechanism in the ISM. Results from a numerical model of the turbulent ISM at large scales suggest that the phase-like appearance of the medium, the typical values of the densities and magnetic field strengths in the intercloud medium, as well as Larson's velocity dispersion-size scaling relation in clouds may be understood as consequences of the interstellar turbulence. However, the density-size relation appears to only hold for the densest simulated clouds, there existing a large population of small, low-density clouds, which, on the other hand, are hardest to observe. We then discuss several tests and implications of a fully dynamical picture of interstellar clouds. The results imply that clouds are transient, constantly being formed, distorted and disrupted by the turbulent velocity field, with a fraction of these fluctuations undergoing gravitational collapse. Simulated line profiles and estimated cloud lifetimes are consistent with observational data. In this scenario, we suggest it is quite unlikely that quasi-hydrostatic structures on any scale can form, and that the near pressure balance between clouds and the intercloud medium is an incidental consequence of the density field driven by the turbulence and in the presence of appropriate cooling, rather than a driving or confining mechanism.

  13. CHARACTERIZATION OF CLOUDS IN TITAN'S TROPICAL ATMOSPHERE

    SciTech Connect (OSTI)

    Griffith, Caitlin A.; Penteado, Paulo; Rodriguez, Sebastien; Baines, Kevin H.; Buratti, Bonnie; Sotin, Christophe; Clark, Roger; Nicholson, Phil; Jaumann, Ralf

    2009-09-10

    Images of Titan's clouds, possible over the past 10 years, indicate primarily discrete convective methane clouds near the south and north poles and an immense stratiform cloud, likely composed of ethane, around the north pole. Here we present spectral images from Cassini's Visual Mapping Infrared Spectrometer that reveal the increasing presence of clouds in Titan's tropical atmosphere. Radiative transfer analyses indicate similarities between summer polar and tropical methane clouds. Like their southern counterparts, tropical clouds consist of particles exceeding 5 {mu}m. They display discrete structures suggestive of convective cumuli. They prevail at a specific latitude band between 8 deg. - 20 deg. S, indicative of a circulation origin and the beginning of a circulation turnover. Yet, unlike the high latitude clouds that often reach 45 km altitude, these discrete tropical clouds, so far, remain capped to altitudes below 26 km. Such low convective clouds are consistent with the highly stable atmospheric conditions measured at the Huygens landing site. Their characteristics suggest that Titan's tropical atmosphere has a dry climate unlike the south polar atmosphere, and despite the numerous washes that carve the tropical landscape.

  14. Modeling microwave/electron-cloud interaction

    E-Print Network [OSTI]

    Mattes, M; Zimmermann, F

    2013-01-01

    Starting from the separate codes BI-RME and ECLOUD or PyECLOUD, we are developing a novel joint simulation tool, which models the combined effect of a charged particle beam and of microwaves on an electron cloud. Possible applications include the degradation of microwave transmission in tele-communication satellites by electron clouds; the microwave-transmission tecchniques being used in particle accelerators for the purpose of electroncloud diagnostics; the microwave emission by the electron cloud itself in the presence of a magnetic field; and the possible suppression of electron-cloud formation in an accelerator by injecting microwaves of suitable amplitude and frequency. A few early simulation results are presented.

  15. MUJERES ( * ) TOTAL BIOLOGA 18 22

    E-Print Network [OSTI]

    Autonoma de Madrid, Universidad

    DE PROFESORADO Y EDUCACI�N CIENCIAS ECON�MICAS Y EMPRESARIALES Nº de tesis leídas y aprobadas por centro y departamento en el año 2010 CENTRO DEPARTAMENTO Nº TESIS CIENCIAS #12;ANATOMÍA PATOL�GICA 0 1 Y DE LA EDUCACI�N 0 2 PSICOLOGÍA SOCIAL Y METODOLOGÍA 3 8 TOTAL PSICOLOGÍA 11 26 TOTAL TESIS LEIDAS

  16. April 12, 2014: The Era of Cloud Computing is coming Headline: The Era of Cloud Computing is coming

    E-Print Network [OSTI]

    Buyya, Rajkumar

    April 12, 2014: The Era of Cloud Computing is coming #12;Headline: The Era of Cloud Computing of Cloud Computing at a seminar in MANIT and RGPV on Saturday. Inset headline: This is the right time to build a career in Cloud Computing Article: Prof. Rajkumar Buyya gave guidance to students about Cloud

  17. IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. XX, NO. X, XXXX 1 Cloud Federations in the Sky: Formation Game

    E-Print Network [OSTI]

    Grosu, Daniel

    IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. XX, NO. X, XXXX 1 Cloud Federations in the Sky for cloud resources. The cloud providers' available resources may not be sufficient enough to cope with such demands. Therefore, the cloud providers need to reshape their business structures and seek to improve

  18. RETRIEVALS OF CLOUD OPTICAL DEPTH AND EFFECTIVE RADIUS FROM A THIN-CLOUD ROTATING SHADOWBAND RADIOMETER (TC-RSR)

    E-Print Network [OSTI]

    RETRIEVALS OF CLOUD OPTICAL DEPTH AND EFFECTIVE RADIUS FROM A THIN-CLOUD ROTATING SHADOWBAND Division Brookhaven National Laboratory U.S. Department of Energy Office of Science ABSTRACT A thin cloud cloud. We applied Min and Duan's retrieval algorithm to the field measurements of TC-RSR to derive cloud

  19. Aircraft Microphysical Documentation from Cloud Base to Anvils of Hailstorm Feeder Clouds in Argentina

    E-Print Network [OSTI]

    Daniel, Rosenfeld

    in Argentina DANIEL ROSENFELD The Hebrew University of Jerusalem, Jerusalem, Israel WILLIAM L. WOODLEY Woodley, Argentina, with a cloud-physics jet aircraft penetrating the major feeder clouds from cloud base to the 45°C. Introduction The province of Mendoza in western Argentina (32°S, 68°W), which is known worldwide for its wine

  20. CloudBridge: A Cloud-Powered System Enabling Mobile Devices to Control Peripherals Without Drivers

    E-Print Network [OSTI]

    Young, R. Michael

    , CloudBridge. CloudBridge user ap- plication running on a smart device works as a TCP bridge relaying on the other. Through the bridge, it is possible to issue operations from a smart device without having network Figure 1: The smart device in the middle works as a bridge connecting a cloud server

  1. Cloud K-SVD: Computing data-adaptive representations in the cloud

    E-Print Network [OSTI]

    Bajwa, Waheed U.

    Cloud K-SVD: Computing data-adaptive representations in the cloud Haroon Raja and Waheed U. Bajwa Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854 Emails: haroon a distributed algorithm, termed as cloud K-SVD, for learning a UoS structure underlying distributed data

  2. A Study of Entropy Sources in Cloud Random Number Generation on Cloud Hosts

    E-Print Network [OSTI]

    Chen, Yu

    A Study of Entropy Sources in Cloud Computers: Random Number Generation on Cloud Hosts Brendan Kerrigan and Yu Chen Dept. of Electrical and Computer Engineering, SUNY - Binghamton Abstract. Cloud security practices are based on assumptions that hold true for physical machines, but don't translate

  3. JP2.3 CLOUD RADIATIVE HEATING RATE FORCING FROM PROFILES OF RETRIEVED ARCTIC CLOUD MICROPHYSICS

    E-Print Network [OSTI]

    Shupe, Matthew

    JP2.3 CLOUD RADIATIVE HEATING RATE FORCING FROM PROFILES OF RETRIEVED ARCTIC CLOUD MICROPHYSICS). This data allows for observationally-based calculations ofradiative heating rate profiles within the Arctic atmosphere. In this paper we define cloud radiative heating rate forcing (CRHF) as the difference between

  4. ENTRAINMENT AND MIXING AND THEIR EFFECTS ON CLOUD DROPLET SIZE DISTRIBUTIONS OF THE STRATOCUMULUS CLOUDS OBSERVED

    E-Print Network [OSTI]

    ENTRAINMENT AND MIXING AND THEIR EFFECTS ON CLOUD DROPLET SIZE DISTRIBUTIONS OF THE STRATOCUMULUS clouds due to entrainment and mixing of the clear air, which then affect the cloud droplet size distribution. How the entrained clear air mixes with cloudy air has been of great interest for the last several

  5. A 3D STOCHASTIC CLOUD MODEL FOR INVESTIGATING THE RADIATIVE PROPERTIES OF INHOMOGENEOUS CIRRUS CLOUDS

    E-Print Network [OSTI]

    Hogan, Robin

    A 3D STOCHASTIC CLOUD MODEL FOR INVESTIGATING THE RADIATIVE PROPERTIES OF INHOMOGENEOUS CIRRUS CLOUDS Robin J. Hogan and Sarah F. Kew ˇ Department of Meteorology, University of Reading, Reading, Berkshire, United Kingdom 1 INTRODUCTION The importance of ice clouds on the earth's radiation budget

  6. Optimization of the Area 5 Radioactive Waste Management Site Closure Cover

    SciTech Connect (OSTI)

    Shott, Greg; Yucel, Vefa

    2009-04-01

    The U.S. Department of Energy Manual DOE M 435.1-1, “Radioactive Waste Management Manual,” requires that performance assessments demonstrate that releases of radionuclides to the environment are as low as reasonably achievable (ALARA). Quantitative cost benefit analysis of radiation protection options is one component of the ALARA process. This report summarizes a quantitative cost benefit analysis of closure cover thickness for the Area 5 Radioactive Waste Management Site (RWMS) on the Nevada Test Site. The optimum cover thickness that maintains doses ALARA is shown to be the thickness with the minimum total closure cost. Total closure cost is the sum of cover construction cost and the health detriment cost. Cover construction cost is estimated based on detailed cost estimates for closure of the 92-acre Low-Level Waste Management Unit (LLWMU). The health detriment cost is calculated as the product of collective dose and a constant monetary value of health detriment in units of dollars per unit collective dose. Collective dose is the sum of all individual doses in an exposed population and has units of person-sievert (Sv). Five discrete cover thickness options ranging from 2.5 to 4.5 meters (m) (8.2 to 15 feet [ft]) are evaluated. The optimization was subject to the constraints that (1) options must meet all applicable regulatory requirements and that (2) individual doses be a small fraction of background radiation dose. Total closure cost is found to be a monotonically increasing function of cover thickness for the 92-ac LLWMU, the Northern Expansion Area, and the entire Area 5 RWMS. The cover construction cost is orders of magnitude greater than the health detriment cost. Two-thousand Latin hypercube sampling realizations of the relationship between total closure cost and cover thickness are generated. In every realization, the optimum cover thickness is 2.5 m (8.2 ft) for the 92-ac Low-Level Waste Management Unit, the Northern Expansion Area, and the entire Area 5 RWMS. The conclusions of the optimization are found to be insensitive to all input parameters, the monetary value of the health detriment over a range of values from $200,000 to $15,000,000 per person-Sv, and the period of integration of collective dose. A 2.5 m (8.2 ft) closure cover at the Area 5 RWMS can meet all applicable regulatory requirements and maintain radionuclide releases ALARA.

  7. Total transmission and total reflection by zero index materials

    E-Print Network [OSTI]

    Viet Cuong Nguyen; Lang Chen

    2010-07-01

    In this report, we achieved total transmission and reflection in a slab of zero index materials with defect(s). By controlling the defect's radius and dielectric constant, we can obtain total transmission and reflection of EM wave. The zero index materials, in this report, stand for materials with permittivity and permeability which are simultaneously equal to zero or so called matched impedance zero index materials. Along with theoretical calculations and simulation demonstrations, we also discuss about some possible applications for the proposed structure such as shielding or cloaking an object without restricting its view. We also suggest a way to control total transmission and reflection actively by using tunable refractive index materials such as liquid crystal and BST. The physics behind those phenomena is attributed to intrinsic properties of zero index materials: constant field inside zero index slab.

  8. Spatial Scaling of Land Cover Networks

    E-Print Network [OSTI]

    Small, Christopher

    2015-01-01

    Spatial networks of land cover are well-described by power law rank-size distributions. Continuous field proxies for human settlements, agriculture and forest cover have similar spatial scaling properties spanning 4 to 5 orders of magnitude. Progressive segmentation of these continuous fields yields spatial networks with rank-size distributions having slopes near -1 for a wide range of thresholds. We consider a general explanation for this scaling that does not require different processes for each type of land cover. The same conditions that give rise to scale-free networks in general can produce power law distributions of component sizes for bounded spatial networks confined to a plane or surface. Progressive segmentation of a continuous field naturally results in growth of the network while the increasing perimeters of the growing components result in preferential attachment to the larger components with the longer perimeters. Progressive segmentation of two types of random continuous field results in progr...

  9. Consistent cloud computing storage as the basis for distributed applications

    E-Print Network [OSTI]

    Anderson, James William

    2011-01-01

    Messaging in Cloud Computing . . . . . . . . . .7 1.4Eucalyptus Open—Source Cloud—Computing System. In C'C&#http://www.eweek.com/c/a/Cloud-Computing/Amazons—Head—Start—

  10. A Framework for Secure Cloud-Empowered Mobile Biometrics

    E-Print Network [OSTI]

    Valenti, Matthew C.

    1 A Framework for Secure Cloud-Empowered Mobile Biometrics A. A framework for secure cloud biometrics 4. System analysis 5. Conclusion #12;3 3 for secure cloud biometrics 4. System analysis 5. Conclusion #12;4 4 Introduc

  11. ISMS for Microsoft's Cloud Infrastructure 1 Information Security Management System

    E-Print Network [OSTI]

    Chaudhuri, Surajit

    ISMS for Microsoft's Cloud Infrastructure 1 Information Security Management System for Microsoft's Cloud Infrastructure Online Services Security and Compliance Executive summary This paper describes the Microsoft Cloud Infrastructure and Operations (MCIO) Information Security Management System (ISMS) program

  12. E-Cloud Build-up in Grooved Chambers

    E-Print Network [OSTI]

    Venturini, Marco

    2007-01-01

    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,

  13. Deriving cloud velocity from an array of solar radiation measurements

    E-Print Network [OSTI]

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

    2013-01-01

    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);

  14. A cloud-assisted design for autonomous driving

    E-Print Network [OSTI]

    Suresh Kumar, Swarun

    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 ...

  15. Covered Product Category: Light Fixtures (Luminaires)

    Broader source: Energy.gov [DOE]

    FEMP provides acquisition guidance and Federal efficiency requirements across a variety of product categories, including luminaires, or light fixtures. The luminaires product category is very broad and covers a wide variety of lighting products. Both ENERGY STAR® and FEMP provide programmatic guidance for various types of luminaires. See table 2 for more information about which types of light fixtures are covered by which program (FEMP or ENERGY STAR). Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

  16. Land Use and Land Cover Change

    SciTech Connect (OSTI)

    Brown, Daniel; Polsky, Colin; Bolstad, Paul V.; Brody, Samuel D.; Hulse, David; Kroh, Roger; Loveland, Thomas; Thomson, Allison M.

    2014-05-01

    A contribution to the 3rd National Climate Assessment report, discussing the following key messages: 1. Choices about land-use and land-cover patterns have affected and will continue to affect how vulnerable or resilient human communities and ecosystems are to the effects of climate change. 2. Land-use and land-cover changes affect local, regional, and global climate processes. 3. Individuals, organizations, and governments have the capacity to make land-use decisions to adapt to the effects of climate change. 4. Choices about land use and land management provide a means of reducing atmospheric greenhouse gas levels.

  17. Electron Cloud Effects in Accelerators

    SciTech Connect (OSTI)

    Furman, M.A.

    2012-11-30

    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].

  18. Clouds, Aerosols and Precipitation in

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D BGene NetworkNuclearDNP 20082 P r o j eCommitteeCloud-Resolving3

  19. ARM - Lesson Plans: Making Clouds

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments?govInstrumentsnoaacrnBarrow, Alaska Outreach Home Room News PublicationsClimate inMaking Clouds Outreach

  20. Sandia Energy - Cloud Computing Services

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumniProjects Caterpillar, Sandia CRADAChemistryCloud

  1. Chapter 3: Evaluating the impacts of carbonaceous aerosols on clouds and climate

    SciTech Connect (OSTI)

    Menon, Surabi; Del Genio, Anthony D.

    2007-09-03

    Any attempt to reconcile observed surface temperature changes within the last 150 years to changes simulated by climate models that include various atmospheric forcings is sensitive to the changes attributed to aerosols and aerosol-cloud-climate interactions, which are the main contributors that may well balance the positive forcings associated with greenhouse gases, absorbing aerosols, ozone related changes, etc. These aerosol effects on climate, from various modeling studies discussed in Menon (2004), range from +0.8 to -2.4 W m{sup -2}, with an implied value of -1.0 W m{sup -2} (range from -0.5 to -4.5 W m{sup -2}) for the aerosol indirect effects. Quantifying the contribution of aerosols and aerosol-cloud interactions remain complicated for several reasons some of which are related to aerosol distributions and some to the processes used to represent their effects on clouds. Aerosol effects on low lying marine stratocumulus clouds that cover much of the Earth's surface (about 70%) have been the focus of most of prior aerosol-cloud interaction effect simulations. Since cumulus clouds (shallow and deep convective) are short lived and cover about 15 to 20% of the Earth's surface, they are not usually considered as radiatively important. However, the large amount of latent heat released from convective towers, and corresponding changes in precipitation, especially in biomass regions due to convective heating effects (Graf et al. 2004), suggest that these cloud systems and aerosol effects on them, must be examined more closely. The radiative heating effects for mature deep convective systems can account for 10-30% of maximum latent heating effects and thus cannot be ignored (Jensen and Del Genio 2003). The first study that isolated the sensitivity of cumulus clouds to aerosols was from Nober et al. (2003) who found a reduction in precipitation in biomass burning regions and shifts in circulation patterns. Aerosol effects on convection have been included in other models as well (cf. Jacobson, 2002) but the relative impacts on convective and stratiform processes were not separated. Other changes to atmospheric stability and thermodynamical quantities due to aerosol absorption are also known to be important in modifying cloud macro/micro properties. Linkages between convection and boreal biomass burning can also impact the upper troposphere and lower stratosphere, radiation and cloud microphysical properties via transport of tropospheric aerosols to the lower stratosphere during extreme convection (Fromm and Servranckx 2003). Relevant questions regarding the impact of biomass aerosols on convective cloud properties include the effects of vertical transport of aerosols, spatial and temporal distribution of rainfall, vertical shift in latent heat release, phase shift of precipitation, circulation and their impacts on radiation. Over land surfaces, a decrease in surface shortwave radiation ({approx} 3-6 W m{sup -2} per decade) has been observed between 1960 to 1990, whereas, increases of 0.4 K in land temperature during the same period that occurred have resulted in speculations that evaporation and precipitation should also have decreased (Wild et al. 2004). However, precipitation records for the same period over land do not indicate any significant trend (Beck et al. 2005). The changes in precipitation are thought to be related to increased moisture advection from the oceans (Wild et al. 2004), which may well have some contributions from aerosol-radiation-convection coupling that could modify circulation patterns and hence moisture advection in specific regions. Other important aspects of aerosol effects, besides the direct, semi-direct, microphysical and thermodynamical impacts include alteration of surface albedos, especially snow and ice covered surfaces, due to absorbing aerosols. These effects are uncertain (Jacobson, 2004) but may produce as much as 0.3 W m{sup -2} forcing in the Northern hemisphere that could contribute to melting of ice and permafrost and change in the length of the season (e.g. early arrival of Spring

  2. Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth

    E-Print Network [OSTI]

    Hartmann, Dennis

    Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth MARK D. ZELINKA Department of Atmospheric Sciences received 12 May 2011, in final form 15 November 2011) ABSTRACT Cloud radiative kernels and histograms

  3. Global Climate Change,Global Climate Change, Land Cover Change, andLand Cover Change, and

    E-Print Network [OSTI]

    1 Global Climate Change,Global Climate Change, Land Cover Change, andLand Cover Change, and HydrologyHydrology Steven Fassnacht Watershed Science Colorado State University The Importance of Climate · Climate affects the environment and us ­ Ecology: vegetation and animals ­ Water Systems ­ People

  4. Clock-Based Proxy Re-encryption Scheme inClock-Based Proxy Re-encryption Scheme inClock-Based Proxy Re-encryption Scheme inClock-Based Proxy Re-encryption Scheme in Unreliable CloudsUnreliable CloudsUnreliable CloudsUnreliable Clouds

    E-Print Network [OSTI]

    Wu, Jie

    International Workshop on Security in Cloud Computing (CloudSecInternational Workshop on Security in Cloud Computing (CloudSecInternational Workshop on Security in Cloud Computing (CloudSecInternational Workshop on Security in Cloud Computing (CloudSec 2012)2012)2012)2012) [1] Central South University, China [2] Temple

  5. Challenge the future 1 Observations of aerosol-cloud-radiation

    E-Print Network [OSTI]

    Graaf, Martin de

    -road Industrial coal Residential solid fuel Biofuel cooking Biofuel heating Coal Open Burning Agricultural fields causes Differences in: · cloud properties · cloud fraction and location · aerosol properties · smoke

  6. RFID Asset Management Solution with Cloud Computation Service

    E-Print Network [OSTI]

    Chattopadhyay, Arunabh

    2012-01-01

    Gadh, “Web based RFID asset management solution establishedLos Angeles RFID Asset Management Solution with CloudTHE DISSERTATION RFID Asset Management Solution with Cloud

  7. Testing Cloud Microphysics Parameterizations in NCAR CAM5 with...

    Office of Scientific and Technical Information (OSTI)

    fraction for single-layer boundary layer mixed-phase stratocumulus, and multilayer or deep frontal clouds. However, for low-level clouds, the model significantly underestimates...

  8. Direct Numerical Simulations and Robust Predictions of Cloud...

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

    cloud. Credit: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland Direct Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse PI Name:...

  9. On the cOver efimov states

    E-Print Network [OSTI]

    Loss, Daniel

    On the cOver efimov states Two trimers to scale Article p586; News & Views p533 Supersolid helium literature news & Views 533 Few-body physics: giant trimers true to scale Vitaly Efimov 534 Supersolid helium: Stiffer but flowing Sébastien Balibar 535 Lunar science: in the moon's wake David Gevaux 536 cell

  10. Simulation of Synchronous Machines This chapter covers

    E-Print Network [OSTI]

    McCalley, James D.

    1 Simulation of Synchronous Machines This chapter covers: (A) Sections 5.25.7: Determination of initial conditions (B) Section 5.8: Determination of machine parameters from manufacturers' data.3: Machine connected to an infinite bus through a line · Section 5.4: Machine connected

  11. 1CHANCELLOR'S REPORT 20112012 On the cover

    E-Print Network [OSTI]

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Renewable Energy Fueled by a Cell1CHANCELLOR'S REPORT 2011­2012 #12;2 On the cover Examining the role that marine microbes play and Education (C-MORE) at the University of Hawai`i at Mnoa. The first of its kind to focus on microbes, C

  12. EXCEPTIONAL COVERS AND BIJECTIONS ON RATIONAL POINTS

    E-Print Network [OSTI]

    Fried, Michael

    EXCEPTIONAL COVERS AND BIJECTIONS ON RATIONAL POINTS ROBERT M. GURALNICK, THOMAS J. TUCKER proved by Davenport and Lewis [DL], Mac- Cluer [Mac], Williams [Wi], Cohen [Co], and Fried [Fr, Fr3, FGS was partially supported by NSF grant DMS-0140578. 1 #12;2 ROBERT M. GURALNICK, THOMAS J. TUCKER, AND MICHAEL E

  13. EXCEPTIONAL COVERS AND BIJECTIONS ON RATIONAL POINTS

    E-Print Network [OSTI]

    Zieve, Michael E.

    EXCEPTIONAL COVERS AND BIJECTIONS ON RATIONAL POINTS ROBERT M. GURALNICK, THOMAS J. TUCKER cases and weaker versions were previously proved by Davenport and Lewis [DL], Mac- Cluer [Mac], Williams was partially supported by NSF grant DMS-0140578. 1 #12;2 ROBERT M. GURALNICK, THOMAS J. TUCKER, AND MICHAEL E

  14. I. Cover Page Ubiquitous Smart Spaces

    E-Print Network [OSTI]

    Abowd, Gregory D.

    I. Cover Page Ubiquitous Smart Spaces Topic Area: Smart Spaces Gregory Abowd, Chris Atkeson, Irfan. Ubiquitous Smart Spaces II.1 Innovative Capability Envisioned The next revolutionary advance in smart spaces research is to create and experiment with ubiquitous smart spaces. Current research has created isolated

  15. Fast Algorithm for Partial Covers in Words

    E-Print Network [OSTI]

    Lonardi, Stefano

    Fast Algorithm for Partial Covers in Words Tomasz Kociumaka1 , Solon P. Pissis2,3 , Jakub Bad Herrenalb, June 17, 2013 T. Kociumaka, S. Pissis, J. Radoszewski, W. Rytter, T. Wale Fast are aligned. a a a a a a a a a a a ab b b b T. Kociumaka, S. Pissis, J. Radoszewski, W. Rytter, T. Wale Fast

  16. ibm.com/redbooks Front cover

    E-Print Network [OSTI]

    Westall, James M.

    ibm.com/redbooks Front cover IBM XIV Storage System: Architecture, Implementation, and Usage Organization IBM XIV Storage System: Architecture, Implementation, and Usage September 2009 SG24-7659-01 #12 with IBM Corp. Second Edition (September 2009) This edition applies to Version 10, Release 1, of the XIV

  17. ibm.com/redbooks Front cover

    E-Print Network [OSTI]

    Hickman, Mark

    ibm.com/redbooks Front cover IBM System Blue Gene Solution: Application Development Gary L. Mullen Organization IBM System Blue Gene Solution: Application Development June 2007 SG24-7179-04 #12;© Copyright Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp

  18. Covered Product Category: Refrigerated Beverage Vending Machines

    Broader source: Energy.gov [DOE]

    FEMP provides acquisition guidance and Federal efficiency requirements across a variety of product categories, including refrigerated beverage vending machines, which are covered by the ENERGY STAR® program. Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

  19. Corn Ethanol -April 2006 11 Cover Story

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    Corn Ethanol - April 2006 11 Cover Story orn ethanol is the fuel du jour. It's domestic. It's not oil. Ethanol's going to help promote "energy independence." Magazines trumpet it as the motor vehicle Midwest fields, waiting to rot or be processed into ethanol. Interestingly, the National Corn Growers

  20. Covered Product Category: Commercial Gas Water Heaters

    Broader source: Energy.gov [DOE]

    FEMP provides acquisition guidance and Federal efficiency requirements across a variety of product categories, including commercial gas water heaters, which are covered by the ENERGY STAR® program. Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

  1. Compression of Antiproton Clouds for Antihydrogen Trapping

    E-Print Network [OSTI]

    G. B. Andresen; W. Bertsche; P. D. Bowe; C. C. Bray; E. Butler; C. L. Cesar; S. Chapman; M. Charlton; J. Fajans; M. C. Fujiwara; R. Funakoshi; D. R. Gill; J. S. Hangst; W. N. Hardy; R. S. Hayano; M. E. Hayden; R. Hydomako; M. J. Jenkins; L. V. Jorgensen; L. Kurchaninov; R. Lambo; N. Madsen; P. Nolan; K. Olchanski; A. Olin; A. Povilus; P. Pusa; F. Robicheaux; E. Sarid; S. Seif El Nasr; D. M. Silveira; J. W. Storey; R. I. Thompson; D. P. van der Werf; J. S. Wurtele; Y. Yamazaki

    2008-06-30

    Control of the radial profile of trapped antiproton clouds is critical to trapping antihydrogen. We report the first detailed measurements of the radial manipulation of antiproton clouds, including areal density compressions by factors as large as ten, by manipulating spatially overlapped electron plasmas. We show detailed measurements of the near-axis antiproton radial profile and its relation to that of the electron plasma.

  2. The CloudNets Network Virtualization Architecture

    E-Print Network [OSTI]

    Schmid, Stefan

    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

  3. Pricing Cloud Bandwidth Reservations under Demand Uncertainty

    E-Print Network [OSTI]

    Li, Baochun

    Pricing Cloud Bandwidth Reservations under Demand Uncertainty Di Niu, Chen Feng, Baochun Li's utility depends not only on its bandwidth usage, but more importantly on the portion of its demand that can be made by all tenants and the cloud provider, even with the presence of demand uncertainty

  4. Secure Storage in Cloud Computing Abbas Amini

    E-Print Network [OSTI]

    i Secure Storage in Cloud Computing Abbas Amini Kongens Lyngby 2012 IMM-M.Sc.-2012-39 #12;ii In this Master's thesis a security solution for data storage in cloud computing is examined. The solution encompasses confidentiality and integrity of the stored data, as well as a secure data sharing mechanism

  5. Dynamics of Clouds Fall Semester 2012

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    -2pm Course Description: This class focuses on the general dynamics of cloud systems. Models of fog, vertical velocities, and liquid water contents 1 1 Fogs and Stratocumulus Clouds · Types of fog and formation mechanisms · Radiation fog and physics and dynamics · Valley fog · Marine fog · Stratocumulus

  6. Public Cloud B CarbonEmission

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Programming Environment and Tools: Green Profiler, Power Capping, Green Compiler, Workflow Cloud Hosting Sensors, Demand Prediction Power Capping, Green Software Services such as energy-efficient scientific information Green Offer Directory 2) Request any `Green Offer' Routers Internet Green Broker #12;Cloud

  7. Advances in total scattering analysis

    SciTech Connect (OSTI)

    Proffen, Thomas E [Los Alamos National Laboratory; Kim, Hyunjeong [Los Alamos National Laboratory

    2008-01-01

    In recent years the analysis of the total scattering pattern has become an invaluable tool to study disordered crystalline and nanocrystalline materials. Traditional crystallographic structure determination is based on Bragg intensities and yields the long range average atomic structure. By including diffuse scattering into the analysis, the local and medium range atomic structure can be unravelled. Here we give an overview of recent experimental advances, using X-rays as well as neutron scattering as well as current trends in modelling of total scattering data.

  8. Deuteration in infrared dark clouds

    E-Print Network [OSTI]

    Lackington, Matias; Pineda, Jaime E; Garay, Guido; Peretto, Nicolas; Traficante, Alessio

    2015-01-01

    Much of the dense gas in molecular clouds has a filamentary structure but the detailed structure and evolution of this gas is poorly known. We have observed 54 cores in infrared dark clouds (IRDCs) using N$_2$H$^+$ (1-0) and (3-2) to determine the kinematics of the densest material, where stars will form. We also observed N$_2$D$^+$ (3-2) towards 29 of the brightest peaks to analyse the level of deuteration which is an excellent probe of the quiescent of the early stages of star formation. There were 13 detections of N$_2$D$^+$ (3-2). This is one of the largest samples of IRDCs yet observed in these species. The deuteration ratio in these sources ranges between 0.003 and 0.14. For most of the sources the material traced by N$_2$D$^+$ and N$_2$H$^+$ (3-2) still has significant turbulent motions, however three objects show subthermal N$_2$D$^+$ velocity dispersion. Surprisingly the presence or absence of an embedded 70 $\\mu$m source shows no correlation with the detection of N$_2$D$^+$ (3-2), nor does it correl...

  9. The Magellanic Stream and debris clouds

    SciTech Connect (OSTI)

    For, B.-Q.; Staveley-Smith, L. [International Centre for Radio Astronomy Research, University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009 (Australia); Matthews, D. [Centre for Materials and Surface Science, La Trobe University, Melbourne, VIC 3086 (Australia); McClure-Griffiths, N. M., E-mail: biqing.for@icrar.org [CSIRO Astronomy and Space Science, Epping, NSW 1710 (Australia)

    2014-09-01

    We present a study of the discrete clouds and filaments in the Magellanic Stream using a new high-resolution survey of neutral hydrogen (H I) conducted with the H75 array of the Australia Telescope Compact Array, complemented by single-dish data from the Parkes Galactic All-Sky Survey. From the individual and combined data sets, we have compiled a catalog of 251 clouds and listed their basic parameters, including a morphological description useful for identifying cloud interactions. We find an unexpectedly large number of head-tail clouds in the region. The implication for the formation mechanism and evolution is discussed. The filaments appear to originate entirely from the Small Magellanic Cloud and extend into the northern end of the Magellanic Bridge.

  10. Cloud Computing Security in Business Information Systems

    E-Print Network [OSTI]

    Ristov, Sasko; Kostoska, Magdalena

    2012-01-01

    Cloud computing providers' and customers' services are not only exposed to existing security risks, but, due to multi-tenancy, outsourcing the application and data, and virtualization, they are exposed to the emergent, as well. Therefore, both the cloud providers and customers must establish information security system and trustworthiness each other, as well as end users. In this paper we analyze main international and industrial standards targeting information security and their conformity with cloud computing security challenges. We evaluate that almost all main cloud service providers (CSPs) are ISO 27001:2005 certified, at minimum. As a result, we propose an extension to the ISO 27001:2005 standard with new control objective about virtualization, to retain generic, regardless of company's type, size and nature, that is, to be applicable for cloud systems, as well, where virtualization is its baseline. We also define a quantitative metric and evaluate the importance factor of ISO 27001:2005 control objecti...

  11. FEMP First Thursday Update Covers Strategies for Renewable Energy...

    Office of Environmental Management (EM)

    Update Covers Strategies for Renewable Energy Deployment FEMP First Thursday Update Covers Strategies for Renewable Energy Deployment December 7, 2015 - 5:06pm Addthis FEMP First...

  12. First-ever Hydropower Market Report Covers Hydropower Generation...

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

    First-ever Hydropower Market Report Covers Hydropower Generation Infrastructure First-ever Hydropower Market Report Covers Hydropower Generation Infrastructure May 28, 2015 -...

  13. Carbon and Nitrogen Cycling in Snow-Covered Environments

    E-Print Network [OSTI]

    Grogan, Paul

    snow cover through shading, wind sheltering, and interception. Changes in snow cover associated and nitrogen cycling. Introduction Approximately 60% of the terrestrial earth surface experiences seasonal snow

  14. Microsoft Word - FOA cover sheet.doc | Department of Energy

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

    Microsoft Word - FOA cover sheet.doc Recovery Act, Office of the Biomass Program,Funding Opportunity Announcements Special Notice Microsoft Word - FOA cover sheet.doc...

  15. The frequency of tropical precipitating clouds as observed by the TRMM PR and ICESat/GLAS 

    E-Print Network [OSTI]

    Casey, Sean Patrick

    2009-06-02

    Convective clouds in the tropics can be grouped into three categories: shallow clouds with cloud-top heights near 2 km above the surface, mid-level congestus clouds with tops near the 0°C level, and deep convective clouds ...

  16. TOWARDS ESTIMATING TOTAL ECONOMIC VALUE

    E-Print Network [OSTI]

    Bateman, Ian J.

    TOWARDS ESTIMATING TOTAL ECONOMIC VALUE OF FORESTS IN MEXICO by Neil Adger Katrina Brown Raffaello OF FORESTS IN MEXICO by Neil Adger Katrina Brown Raffaello Cervigni Dominic Moran Centre for Social and SEDESOL for their assistance whilst in Mexico, and David Pearce and Kerry Turner for comments on earlier

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

    SciTech Connect (OSTI)

    Schumacher, Courtney

    2012-12-13

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

  18. Inverse modelling of cloud-aerosol interactions - Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach

    E-Print Network [OSTI]

    Partridge, D. G; Vrugt, J. A; Tunved, P.; Ekman, A. M. L; Struthers, H.; Sorooshian, A.

    2012-01-01

    Seinfeld, J. H. : Aerosol, cloud drop concentration closureof aerosol composition on cloud droplet size distribution –aerosol properties on warm cloud droplet activation, At-

  19. Reconstruction of Intensity From Covered Samples

    SciTech Connect (OSTI)

    Barabash, Rozaliya; Watkins, Thomas R; Meisner, Roberta Ann; Burchell, Timothy D; Rosseel, Thomas M

    2015-01-01

    The safe handling of activated samples requires containment and covering the sample to eliminate any potential for contamination. Subsequent characterization of the surface with x-rays ideally necessitates a thin film. While many films appear visually transparent, they are not necessarily x-ray transparent. Each film material has a unique beam attenuation and sometimes have amorphous peaks that can superimpose with those of the sample. To reconstruct the intensity of the underlying activated sample, the x-ray attenuation and signal due to the film needs to be removed from that of the sample. This requires the calculation of unique deconvolution parameters for the film. The development of a reconstruction procedure for a contained/covered sample is described.

  20. Modeling Incoherent Electron Cloud Effects

    SciTech Connect (OSTI)

    Vay, Jean-Luc; Benedetto, E.; Fischer, W.; Franchetti, G.; Ohmi, K.; Schulte, D.; Sonnad, K.; Tomas, R.; Vay, J.-L.; Zimmermann, F.; Rumolo, G.; Pivi, M.; Raubenheimer, T.

    2007-06-18

    Incoherent electron effects could seriously limit the beam lifetime in proton or ion storage rings, such as LHC, SPS, or RHIC, or blow up the vertical emittance of positron beams, e.g., at the B factories or in linear-collider damping rings. Different approaches to modeling these effects each have their own merits and drawbacks. We describe several simulation codes which simplify the descriptions of the beam-electron interaction and of the accelerator structure in various different ways, and present results for a toy model of the SPS. In addition, we present evidence that for positron beams the interplay of incoherent electron-cloud effects and synchrotron radiation can lead to a significant increase in vertical equilibrium emittance. The magnitude of a few incoherent e+e- scattering processes is also estimated. Options for future code development are reviewed.

  1. Scanning ARM Cloud Radar Handbook

    SciTech Connect (OSTI)

    Widener, K; Bharadwaj, N; Johnson, K

    2012-06-18

    The scanning ARM cloud radar (SACR) is a polarimetric Doppler radar consisting of three different radar designs based on operating frequency. These are designated as follows: (1) X-band SACR (X-SACR); (2) Ka-band SACR (Ka-SACR); and (3) W-band SACR (W-SACR). There are two SACRs on a single pedestal at each site where SACRs are deployed. The selection of the operating frequencies at each deployed site is predominantly determined by atmospheric attenuation at the site. Because RF attenuation increases with atmospheric water vapor content, ARM's Tropical Western Pacific (TWP) sites use the X-/Ka-band frequency pair. The Southern Great Plains (SGP) and North Slope of Alaska (NSA) sites field the Ka-/W-band frequency pair. One ARM Mobile Facility (AMF1) has a Ka/W-SACR and the other (AMF2) has a X/Ka-SACR.

  2. ARM - Midlatitude Continental Convective Clouds

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

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

    2012-01-19

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

  3. ARM - Midlatitude Continental Convective Clouds

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

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

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

  4. MUJERES ( * ) TOTAL BIOLOGA 10 19

    E-Print Network [OSTI]

    Autonoma de Madrid, Universidad

    mujeres que han leído tesis en la UAM en el año 2007 Fuente: Centro de Posgrado de la UAM, a 31 de Diciembre de 2007 FILOSOFÍA Y LETRAS MEDICINA PSICOLOGÍA TOTAL TESIS LEIDAS Y APROBADAS EN EL A�O 2007 EN LA UAM CIENCIAS CIENCIAS ECON�MICAS Y EMPRESARIALES DERECHO ESCUELA POLIT�CNICA SUPERIOR Nº de tesis

  5. Total Energy Outcome City Pilot

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaicsState ofSavings forTitle XVIIof EnergyofTotal Energy

  6. Climate Effects of Global Land Cover Change

    SciTech Connect (OSTI)

    Gibbard, S G; Caldeira, K; Bala, G; Phillips, T; Wickett, M

    2005-08-24

    There are two competing effects of global land cover change on climate: an albedo effect which leads to heating when changing from grass/croplands to forest, and an evapotranspiration effect which tends to produce cooling. It is not clear which effect would dominate in a global land cover change scenario. We have performed coupled land/ocean/atmosphere simulations of global land cover change using the NCAR CAM3 atmospheric general circulation model. We find that replacement of current vegetation by trees on a global basis would lead to a global annual mean warming of 1.6 C, nearly 75% of the warming produced under a doubled CO{sub 2} concentration, while global replacement by grasslands would result in a cooling of 0.4 C. These results suggest that more research is necessary before forest carbon storage should be deployed as a mitigation strategy for global warming. In particular, high latitude forests probably have a net warming effect on the Earth's climate.

  7. Northeast Regional Land Cover Change Report

    E-Print Network [OSTI]

    . To learn more about the C-CAP data products used in this report and to access the data sets, please visit% of the total land area. The region has significant coastal-dependent industries, including tourism

  8. Analysis and Design of Evapotranspirative Cover for Hazardous Waste Landfill

    E-Print Network [OSTI]

    Zornberg, Jorge G.

    Analysis and Design of Evapotranspirative Cover for Hazardous Waste Landfill Jorge G. Zornberg, M, Inc. OII Superfund landfill in southern California. This cover system constitutes the first ET cover flow analyses performed for closure design at the OII site show that an ET cover is feasible for a wide

  9. IN SEARCH OF DUST CLOUDS: PHOTOMETRIC MONITORING OF A SAMPLE OF LATE L AND T DWARFS

    SciTech Connect (OSTI)

    Girardin, F.; Artigau, E.; Doyon, R., E-mail: artigau@astro.umontreal.ca [Departement de Physique and Observatoire du Mont-Megantic, Universite de Montreal, C.P. 6128, Succ. Centre-Ville, Montreal, QC, H3C 3J7 (Canada)

    2013-04-10

    Theoretical models indicate that L dwarf atmospheres are dominated by dust clouds made up of refractory elements; these clouds gradually disappear below the photosphere at the L/T transition. With the presence of dust-bearing clouds close to the photosphere, one expects weather-like features to appear on the brown dwarf surface, due to the presence of gaps in the cloud cover. We cannot hope to spatially resolve the disk of nearby brown dwarfs and directly explore the diversity of weather-like patterns on their surfaces with existing observational tools; therefore, indirect methods have to be used to probe these features, including rotation-induced flux modulation. In order to increase the sample of late L and T dwarfs probed for photometric variability, we observed a sample of nine brown dwarfs near the L/T transition. One target, SDSS J1052+4422 (T0.5), shows periodic flux variations with an evolving light curve and peak-to-peak amplitudes of {approx}0.06 mag over a period of 3.0 hr, adding to the short list of early T dwarfs with semi-periodic photometric variability. The periodogram search also puts upper limits of {approx}0.015 mag on the periodic variability of the remaining eight targets.

  10. Comparing VM-Placement Algorithms for On-Demand Clouds

    E-Print Network [OSTI]

    Comparing VM-Placement Algorithms for On-Demand Clouds Feb. 14, 2012 NIST Presentation to LSN Kevin. Dabrowski, "Comparing VM-Placement Algorithms for On-Demand Clouds", Proceedings of IEEE CloudCom 2011, Nov VM- placement algorithms through simulation of large, on-demand infrastructure clouds. Demonstrate

  11. Fault-Tolerant and Reliable Computation in Cloud Computing

    E-Print Network [OSTI]

    Deng, Jing

    Fault-Tolerant and Reliable Computation in Cloud Computing Jing Deng Scott C.-H. Huang Yunghsiang S, Taipei, 106 Taiwan. § Intelligent Automation, Inc., Rockville, MD, USA. Abstract-- Cloud computing of scientific computation in cloud computing. We investigate a cloud selection strategy to decompose the matrix

  12. Compute and Storage Clouds Using Wide Area High Performance Networks

    E-Print Network [OSTI]

    Grossman, Robert

    Compute and Storage Clouds Using Wide Area High Performance Networks Robert L. Grossman Yunhong Gu. The infrastructure consists of a storage cloud called Sector and a compute cloud called Sphere. We describe two (record- based, column-based or object-based services); and a compute cloud provides computational

  13. GamingAnywhere: An Open-Source Cloud Gaming Testbed

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    the latest computer games. Cloud gaming is an alternative way to deliver high-quality gaming experience: A cloud gaming service based on GamingAny- where. In a cloud gaming system, computer games run on power to game servers. With cloud gaming, gamers can play the latest computer games anywhere and anytime, while

  14. Designing SCIT Architecture Pattern in a Cloud-based Environment

    E-Print Network [OSTI]

    Sood, Arun K.

    and storage size. However, Cloud security is a challenge. In this paper, we leverage Cloud services to designDesigning SCIT Architecture Pattern in a Cloud-based Environment Quyen L. Nguyen and Arun Sood {qnguyeng@gmu.edu, asood@gmu.edu} Abstract--Cloud Computing has gained momentum in the IT world, due to its

  15. Accountability in Cloud Computing and Distributed Computer Systems Hongda Xiao

    E-Print Network [OSTI]

    Feigenbaum, Joan

    a mechanism for holding cloud-service providers accountable but also an interesting application of secure be applicable to other aspects of data- center and cloud security. #12;Accountability in Cloud ComputingAbstract Accountability in Cloud Computing and Distributed Computer Systems Hongda Xiao 2014

  16. Information Flow Auditing In the Cloud Angeliki Zavou

    E-Print Network [OSTI]

    Keromytis, Angelos D.

    towards cloud computing. The many examples of security breaches in major cloud services, that reach to address security issues and concerns that affect cloud-hosted web services, whose providers do not have and accidental data leaks. My approach was inspired by the observation that cloud users' security concerns could

  17. HI CLOUDS BEYOND THE GALACTIC DISK Felix J. Lockman

    E-Print Network [OSTI]

    Groppi, Christopher

    HI CLOUDS BEYOND THE GALACTIC DISK Felix J. Lockman National Radio Astronomy Observatory, Green parts of the Milky Way the disk­halo interface is composed of many discrete HI clouds. The clouds lie: the structure of the ISM at the disk­halo interface, and a high­velocity HI cloud which appears

  18. Thin Cloud Length Scales Using CALIPSO and CloudSat Data 

    E-Print Network [OSTI]

    Solbrig, Jeremy E.

    2010-10-12

    of the requirements for the degree of MASTER OF SCIENCE Approved by: Co-Chairs of Committee, Andrew Dessler Shaima Nasiri Committee Members, Ping Chang R. Saravanan Head of Department Kenneth Bowman August 2009 Major Subject: Atmospheric Sciences... iii ABSTRACT Thin Cloud Length Scales Using CALIPSO and CloudSat Data. (August 2009) Jeremy Edward Solbrig, B.S., University of Northern Colorado Co-Chairs of Advisory Committee, Dr. Andrew Dessler Dr. Shaima Nasiri Thin clouds...

  19. Evaluation of ECMWF cloud type simulations at the ARM Southern Great Plains site using a new cloud type climatology

    E-Print Network [OSTI]

    Evaluation of ECMWF cloud type simulations at the ARM Southern Great Plains site using a new cloud; accepted 13 December 2006; published 3 February 2007. [1] A new method to derive a cloud type climatology is applied to cloud observations over the Southern Great Plains (SGP) Atmospheric Radiation Measurement (ARM

  20. TotalView Training 2015

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar FuelTechnologyTel:FebruaryEIA's Today8Topo II: AnUsersTotalView

  1. Total Adjusted Sales of Kerosene

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight Paths30,2,8, 2015End Use: Total

  2. Total Imports of Residual Fuel

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight Paths30,2,8,Product: Total CrudeMay-15

  3. Star Formation triggered by cloud-cloud collisions

    E-Print Network [OSTI]

    Balfour, S K; Hubber, D A; Jaffa, S E

    2015-01-01

    We present the results of SPH simulations in which two clouds, each having mass $M_{_{\\rm{o}}}\\!=\\!500\\,{\\rm M}_{_\\odot}$ and radius $R_{_{\\rm{o}}}\\!=\\!2\\,{\\rm pc}$, collide head-on at relative velocities of $\\Delta v_{_{\\rm{o}}} =2.4,\\;2.8,\\;3.2,\\;3.6\\;{\\rm and}\\;4.0\\,{\\rm km}\\,{\\rm s}^{-1}$. There is a clear trend with increasing $\\Delta v_{_{\\rm{o}}}$. At low $\\Delta v_{_{\\rm{o}}}$, star formation starts later, and the shock-compressed layer breaks up into an array of predominantly radial filaments; stars condense out of these filaments and fall, together with residual gas, towards the centre of the layer, to form a single large-$N$ cluster, which then evolves by competitive accretion, producing one or two very massive protostars and a diaspora of ejected (mainly low-mass) protostars; the pattern of filaments is reminiscent of the hub and spokes systems identified recently by observers. At high $\\Delta v_{_{\\rm{o}}}$, star formation occurs sooner and the shock-compressed layer breaks up into a network of f...

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

    SciTech Connect (OSTI)

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

    2011-08-31

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

  5. ARM - Midlatitude Continental Convective Clouds - Single Column Model Forcing (xie-scm_forcing)

    SciTech Connect (OSTI)

    Xie, Shaocheng; McCoy, Renata; Zhang, Yunyan

    2012-10-25

    The constrained variational objective analysis approach described in Zhang and Lin [1997] and Zhang et al. [2001]was used to derive the large-scale single-column/cloud resolving model forcing and evaluation data set from the observational data collected during Midlatitude Continental Convective Clouds Experiment (MC3E), which was conducted during April to June 2011 near the ARM Southern Great Plains (SGP) site. The analysis data cover the period from 00Z 22 April - 21Z 6 June 2011. The forcing data represent an average over the 3 different analysis domains centered at central facility with a diameter of 300 km (standard SGP forcing domain size), 150 km and 75 km, as shown in Figure 1. This is to support modeling studies on various-scale convective systems.

  6. Herschel observations of embedded protostellar clusters in the Rosette Molecular Cloud

    E-Print Network [OSTI]

    Hennemann, M; Bontemps, S; Schneider, N; Csengeri, T; Balog, Z; Di Francesco, J; Zavagno, A; André, Ph; Men'shchikov, A; Abergel, A; Ali, B; Baluteau, J -P; Bernard, J -Ph; Cox, P; Didelon, P; di Giorgio, A -M; Griffin, M; Hargrave, P; Hill, T; Horeau, B; Huang, M; Kirk, J; Leeks, S; Li, J Z; Marston, A; Martin, P; Molinari, S; Luong, Q Nguyen; Olofsson, G; Persi, P; Pezzuto, S; Russeil, D; Saraceno, P; Sauvage, M; Sibthorpe, B; Spinoglio, L; Testi, L; Ward-Thompson, D; White, G; Wilson, C; Woodcraft, A

    2010-01-01

    The Herschel OB young stellar objects survey (HOBYS) has observed the Rosette molecular cloud, providing an unprecedented view of its star formation activity. These new far-infrared data reveal a population of compact young stellar objects whose physical properties we aim to characterise. We compiled a sample of protostars and their spectral energy distributions that covers the near-infrared to submillimetre wavelength range. These were used to constrain key properties in the protostellar evolution, bolometric luminosity, and envelope mass and to build an evolutionary diagram. Several clusters are distinguished including the cloud centre, the embedded clusters in the vicinity of luminous infrared sources, and the interaction region. The analysed protostellar population in Rosette ranges from 0.1 to about 15 Msun with luminosities between 1 and 150 Lsun, which extends the evolutionary diagram from low-mass protostars into the high-mass regime. Some sources lack counterparts at near- to mid-infrared wavelengths...

  7. ARM - Midlatitude Continental Convective Clouds - Single Column Model Forcing (xie-scm_forcing)

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

    Xie, Shaocheng; McCoy, Renata; Zhang, Yunyan

    The constrained variational objective analysis approach described in Zhang and Lin [1997] and Zhang et al. [2001]was used to derive the large-scale single-column/cloud resolving model forcing and evaluation data set from the observational data collected during Midlatitude Continental Convective Clouds Experiment (MC3E), which was conducted during April to June 2011 near the ARM Southern Great Plains (SGP) site. The analysis data cover the period from 00Z 22 April - 21Z 6 June 2011. The forcing data represent an average over the 3 different analysis domains centered at central facility with a diameter of 300 km (standard SGP forcing domain size), 150 km and 75 km, as shown in Figure 1. This is to support modeling studies on various-scale convective systems.

  8. ARM Cloud Retrieval Ensemble Data Set (ACRED)

    SciTech Connect (OSTI)

    Zhao, C; Xie, S; Klein, SA; McCoy, R; Comstock, JM; Delanoë, J; Deng, M; Dunn, M; Hogan, RJ; Jensen, MP; Mace, GG; McFarlane, SA; O’Connor, EJ; Protat, A; Shupe, MD; Turner, D; Wang, Z

    2011-09-12

    This document describes a new Atmospheric Radiation Measurement (ARM) data set, the ARM Cloud Retrieval Ensemble Data Set (ACRED), which is created by assembling nine existing ground-based cloud retrievals of ARM measurements from different cloud retrieval algorithms. The current version of ACRED includes an hourly average of nine ground-based retrievals with vertical resolution of 45 m for 512 layers. The techniques used for the nine cloud retrievals are briefly described in this document. This document also outlines the ACRED data availability, variables, and the nine retrieval products. Technical details about the generation of ACRED, such as the methods used for time average and vertical re-grid, are also provided.

  9. QER- Comment of Cloud Peak Energy Inc

    Office of Energy Efficiency and Renewable Energy (EERE)

    Dear Ms Pickett Please find attached comments from Cloud Peak Energy as input to the Department of Energy’s Quadrennial Energy Review. If possible I would appreciate a confirmation that this email has been received Thank you.

  10. HPC CLOUD APPLIED TO LATTICE OPTIMIZATION

    SciTech Connect (OSTI)

    Sun, Changchun; Nishimura, Hiroshi; James, Susan; Song, Kai; Muriki, Krishna; Qin, Yong

    2011-03-18

    As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon's new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.

  11. Carbon monoxide in collapsing interstellar clouds

    E-Print Network [OSTI]

    De Jong, T.; Chu, Shih-I; Dalgarno, A.

    1975-07-01

    Calculations are made for the energy loss rates, brightness temperatures, and line profiles of carbon monoxide in collapsing interstellar clouds. The most recent data for the H2-CO collision rates have been used in the calculations; a useful...

  12. Uranus at equinox: Cloud morphology and dynamics

    E-Print Network [OSTI]

    Sromovsky, Lawrence; Hammel, Heidi; Ahue, William; de Pater, Imke; Rages, Kathy; Showalter, Mark; van Dam, Marcos

    2015-01-01

    As the 7 December 2007 equinox of Uranus approached, ring and atmosphere observers produced a substantial collection of observations using the 10-m Keck telescope and the Hubble Space Telescope. Those spanning the period from 7 June 2007 through 9 September 2007 we used to identify and track cloud features, determine atmospheric motions, characterize cloud morphology and dynamics, and define changes in atmospheric band structure. We confirmed the existence of the suspected northern hemisphere prograde jet, locating its peak near 58 N, and extended wind speed measurements to 73 N. For 28 cloud features we obtained extremely high wind-speed accuracy through extended tracking times. The new results confirm a small N-S asymmetry in the zonal wind profile, and the lack of any change in the southern hemisphere between 1986 (near solstice) and 2007 (near equinox) suggests that the asymmetry may be permanent rather than seasonally reversing. In the 2007 images we found two prominent groups of discrete cloud features ...

  13. Factors shaping the future of Cloud Computing

    E-Print Network [OSTI]

    Francis, Steven (Steven Douglas)

    2011-01-01

    Many different forces are currently shaping the future of the Cloud Computing Market. End user demand and end user investment in existing technology are important drivers. Vendor innovation and competitive strategy are ...

  14. What Makes Clouds Grow and Die?

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

    fairly well." Based on these results, Hagos and his collaborators will next focus on cold pools and their role in growing small shallow clouds into large, deep ones. The team...

  15. A developer's survey on different cloud platforms

    E-Print Network [OSTI]

    Doan, Dzung

    2009-01-01

    5.5 SQL Services . . . . . . . . . . 5.6 Developerare made at the block level. SQL Services Besides storagethat lives in the cloud, called SQL Services. It’s based on

  16. On Demand Surveillance Service in Vehicular Cloud

    E-Print Network [OSTI]

    Weng, Jui-Ting

    2013-01-01

    as the combination of cloud com- puting and mobile devices.optimal bit rates for mobile devices to save energy. [48]The mobile devices are considered as clients and sensors,

  17. Exploiting weather forecast data for cloud detection 

    E-Print Network [OSTI]

    Mackie, Shona

    2009-01-01

    Accurate, fast detection of clouds in satellite imagery has many applications, for example Numerical Weather Prediction (NWP) and climate studies of both the atmosphere and of the Earth’s surface temperature. Most ...

  18. Atmospheric State, Cloud Microphysics and Radiative Flux

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

    Mace, Gerald

    2008-01-15

    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.

  19. Electron-Cloud Build-Up: Summary

    SciTech Connect (OSTI)

    Furman, M.A.

    2007-06-18

    I present a summary of topics relevant to the electron-cloud build-up and dissipation that were presented at the International Workshop on Electron-Cloud Effects 'ECLOUD 07' (Daegu, S. Korea, April 9-12, 2007). This summary is not meant to be a comprehensive review of the talks. Rather, I focus on those developments that I found, in my personal opinion, especially interesting. The contributions, all excellent, are posted in http://chep.knu.ac.kr/ecloud07/.

  20. Adenine Abundance in a Collapsing Molecular Cloud

    E-Print Network [OSTI]

    Sandip K. Chakrabarti; Sonali Chakrabarti

    2000-03-18

    A vital ingredient of DNA molecule named adenine may be produced by successive addition of HCN during molecular cloud collapse and star formation. We compute its abundance in a collapsing cloud as a function of the reaction rate and show that in much of the circumstances the resulting amount may be sufficient to contaminate planets, comets and meteorites. We introduce a $f$-parameter which may be used to study the abundance where radiative association takes place.