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


1

Solar: monthly and annual average global horizontal (GHI) GIS...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

2

Solar: monthly and annual average direct normal (DNI), global...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

3

Solar: monthly and annual average direct normal (DNI) GIS data...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

4

Census Division Number of Average Monthly Average Retail Price...  

Gasoline and Diesel Fuel Update (EIA)

Average Monthly Average Retail Price Average Monthly Bill State Consumers Consumption (kWh) (Cents per Kilowatthour) (Dollar and cents) New England 34,271 67,907 12.55 8,520.25...

5

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

East Asia from NREL East Asia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

6

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Africa from NREL Africa from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

7

Solar: monthly and annual average latitude tilt GIS data at 40km...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

8

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

South America from NREL South America from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

9

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Central America and the Carribean from NREL Central America and the Carribean from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

10

Table 5B. Commercial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Commercial Average Monthly Bill by Census Division, and State: Table 5B. Commercial Average Monthly Bill by ...

11

Table 5A. Residential Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Table 5A. Residential Average Monthly Bill by Census Division, and State, 2009: Census Division State Number of Consumers Average Monthly Consumption ...

12

Table 5B. Commercial average monthly bill by census division...  

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

" Census Division " " State ","Number of Consumers "," Average Monthly Consumption (kWh)","Price (Cents per Kilowatthour)","Average Monthly Bill (Dollar and cents)" "New...

13

Table 5C. Industrial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Industrial Average Monthly Bill by Census Division, and State: Table 5C. Industrial ...

14

Climate: monthly and annual average relative humidity GIS data...  

Open Energy Info (EERE)

Climate: monthly and annual average relative humidity GIS data at one-degree resolution of the World from NASASSE

(Abstract):
Relative Humidity at 10 m...

15

Solar: monthly and annual average global horizontal irradiance...  

Open Energy Info (EERE)

b>
Global Horizontal Irradiance
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

16

Solar: monthly and annual average direct normal irradiance GIS...  

Open Energy Info (EERE)

>
Direct Normal Irradiance (kWhm2day)
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

17

Calculating Monthly Radiative Fluxes and Heating Rates fromMonthly Cloud Observations  

Science Conference Proceedings (OSTI)

The radiative transfer model from NCARs general circulation model CCM3 is modified to calculate monthly radiative fluxes and heating rates from monthly observations of cloud properties from the International Satellite Cloud Climatology Project ...

John W. Bergman; Harry H. Hendon

1998-12-01T23:59:59.000Z

18

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

19

Solar: monthly and annual average direct normal (DNI) GIS data at 40km for  

Open Energy Info (EERE)

km for km for Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

20

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

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


21

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

22

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to

23

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

24

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

25

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

26

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

27

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

28

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

29

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

30

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate

31

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

32

"2012 Average Monthly Bill- Industrial"  

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

Industrial" Industrial" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",34164,67854.037,11.83487,8030.4373 "Connecticut",4647,63947.063,12.672933,8103.9685 "Maine",2780,90741.457,7.9819499,7242.9376 "Massachusetts",21145,66710.826,12.566635,8383.3057 "New Hampshire",3444,47247.217,11.83228,5590.423 "Rhode Island",1927,39935.911,10.676724,4263.8471 "Vermont",221,536044.12,9.9796777,53495.475 "Middle Atlantic",45836,126368.14,7.4903534,9465.42 "New Jersey",12729,50817.89,10.516509,5344.2677

33

"2012 Average Monthly Bill- Residential"  

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

Residential" Residential" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",6203726,634.13095,15.713593,99.644755 "Connecticut",1454651,730.85302,17.343298,126.75402 "Maine",703770,530.56349,14.658797,77.774225 "Massachusetts",2699141,627.15845,14.912724,93.52641 "New Hampshire",601697,614.81776,16.070168,98.802249 "Rhode Island",435448,597.34783,14.404061,86.042344 "Vermont",309019,565.03618,17.006075,96.090478 "Middle Atlantic",15727423,700.63673,15.272654,107.00582

34

Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual  

NLE Websites -- All DOE Office Websites (Extended Search)

Chlorofluorocarbons » Chlorofluorocarbons » Atmospheric CFC-11 Concentrations Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual Data for the Period 1975-1992 DOI: 10.3334/CDIAC/atg.db1010 data Data (DB1010) Investigator M. A. K. Khalil and R. A. Rasmussen Description This data set presents globally averaged atmospheric concentrations of chlorofluorocarbon 11, known also as CFC-11 or F-11 (chemical name: trichlorofluoromethane; formula: CCl3F). The monthly global average data are derived from flask air samples collected at eight sites in six locations over the period August 1980-July 1992. The sites are Barrow (Alaska), Cape Meares (Oregon), Cape Kumukahi and Mauna Loa (Hawaii), Cape Matatula (American Samoa), Cape Grim (Tasmania), Palmer Station, and the

35

Variation in Nimbus-7 Cloud Estimates. Part I: Zonal Averages  

Science Conference Proceedings (OSTI)

Zonal averages of low, middle and total cloud amount estimates derived from measurements from Nimbus-7 have been analyzed for the six-year period April 1979 through March 1985. The globally and zonally averaged values of six-year annual means and ...

Bryan C. Weare

1992-12-01T23:59:59.000Z

36

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

49031 49031 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to

37

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the

38

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations

40

Climate: monthly and annual average relative humidity GIS data at  

Open Energy Info (EERE)

relative humidity GIS data at relative humidity GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Relative Humidity at 10 m Above The Surface Of The Earth (%)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Relative Humidity at 10 m Above The Surface Of The Earth (%)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

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


41

Climate: monthly and annual average atmospheric pressure GIS data at  

Open Energy Info (EERE)

atmospheric pressure GIS data at atmospheric pressure GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract):Atmospheric Pressure (kPa)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Atmospheric Pressure (kPa)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

42

The Effect of Spatial and Temporal Averaging on Sampling Strategies for Cloud Amount Data  

Science Conference Proceedings (OSTI)

Sampling and averaging strategies are as significant an influence upon the resulting cloud climatologies as the resolution of the original cloud archives. An investigation of total cloud amount data, as represented by the U.S. Air Force 3-...

N. A. Hughes; A. Henderson-Sellers

1983-03-01T23:59:59.000Z

43

Climate: monthly and annual average cooling degree days above...  

Open Energy Info (EERE)

at one-degree resolution of the World from NASASSE

(Abstract):
Cooling Degree Days above 10 C (degree days)
The monthly accumulation of degrees when...

44

Solar: monthly and annual average latitude tilt irradiance GIS...  

Open Energy Info (EERE)

& Annual Average (July 1983 - June 2005)
Parameter: Latitude Tilt Radiation (kWhm2day)
Internet: http:eosweb.larc.nasa.govsse
Note 1:...

45

Parameterizing Grid-Averaged Longwave Fluxes for Inhomogeneous Marine Boundary Layer Clouds  

Science Conference Proceedings (OSTI)

This paper examines the relative impacts on grid-averaged longwave flux transmittance (emittance) for marine boundary layer (MBL) cloud fields arising from horizontal variability of optical depth ? and cloud sides. First, using fields of Landsat-...

Howard W. Barker; Bruce A. Wielicki

1997-12-01T23:59:59.000Z

46

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

22 22 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is

47

Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP  

NLE Websites -- All DOE Office Websites (Extended Search)

Month-Long 2D Cloud-Resolving Model Simulation Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP X. Wu Department of Geological and Atmospheric Sciences Iowa State University Ames, Iowa X.-Z. Liang Illinois State Water Survey University of Illinois Urbana-Champaign, Illinois Introduction The cloud-resolving model (CRM) has recently emerged as a useful tool to develop improved representations of convections, clouds, and cloud-radiation interactions in general circulation models (GCMs). In particular, the fine spatial resolution allows the CRM to more realistically represent the detailed structure of cloud systems, including cloud geometric and radiative properties. The CRM simulations thus provide unique and comprehensive datasets, based on which more realistic GCM

48

ARM - Evaluation Product - Average of Cloud Condensation Nuclei...  

NLE Websites -- All DOE Office Websites (Extended Search)

are averaged together. The %ss in the CCN data stream is calculated using a heat transfer and fluid dynamics model flow model (Lance et al., 2006). The model uses the...

49

Wind: monthly and annual average wind GIS data at one-degree...  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of the World from NASASSE

(Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m...

50

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The

51

Computation of Domain-Averaged Irradiance Using Satellite-Derived Cloud Properties  

Science Conference Proceedings (OSTI)

The respective errors caused by the gamma-weighted two-stream approximation and the effective thickness approximation for computing the domain-averaged broadband shortwave irradiance are evaluated using cloud optical thicknesses derived from 1 h ...

Seiji Kato; Fred G. Rose; Thomas P. Charlock

2005-02-01T23:59:59.000Z

52

Wind: monthly and annual average wind GIS data at one-degree resolution of  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of monthly and annual average wind GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m/s)NASA Surface meteorology and Solar Energy (SSE) Release 5 Data Set (Jan. 2005)10-year Monthly & Annual Average (July 1983 - June 1993) Parameter: Wind Speed At 50 m Above The Surface Of The Earth (m/s) Internet: http://eosweb.larc.nasa.gov/sse/ Note: SSE Methodology & Accuracy sections online Created: October 4, 2005 See the NASA Surface meteorology and Solar Energy (SSE) web site at http://eosweb.larc.nasa.gov/sse/. The source data was downloaded from the SSE website at Data Retrieval: Meteorology and Solar Energy > Global data sets as text files. The tabular data was then converted to the shapefile format.

53

Average monthly gasoline price to fall to $3.43 by September  

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

monthly gasoline price to fall to $3.43 by September monthly gasoline price to fall to $3.43 by September The U.S. average monthly retail price of gasoline is expected to decline by about 18 cents per gallon between May and September, according to the new forecast from the U.S. Energy Information Administration. The lower price reflects, in part, slightly lower crude oil prices that account for about two-thirds of the cost at the pump. The largest price drops are expected in the Midwest states as refineries serving that region, which had been down for planned and unplanned maintenance, return to operation. For the year as a whole, the annual average retail gasoline price is forecasted to decline from $3.63 a gallon last year to $3.49 a gallon this year...and then drop to $3.37 per gallon in 2014

54

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

601 601 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142256601 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 10km resolution for Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country.

55

Troposphere-Stratosphere (Surface-55 km) Monthly Winter General Circulation Statistics for the Northern Hemisphere-Four Year Averages  

Science Conference Proceedings (OSTI)

Monthly mean Northern Hemisphere general circulation statistics are presented for the four-year average December, January and February months of the winters 197879 through 198182. These calculations start with daily maps for eighteen pressure ...

Marvin A. Geller; Mao-Fou Wu; Melvyn E. Gelman

1983-05-01T23:59:59.000Z

56

Solar: monthly and annual average global horizontal irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Global Horizontal IrradianceNASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Insolation Incident On A Horizontal Surface (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

57

Climate: monthly and annual average cooling degree days above 10° C GIS  

Open Energy Info (EERE)

cooling degree days above 10° C GIS cooling degree days above 10° C GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Cooling Degree Days above 10° C (degree days)The monthly accumulation of degrees when the daily mean temperature is above 10° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Cooling Degree Days Above 10 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180,

58

Climate: monthly and annual average heating degree days below 18° C GIS  

Open Energy Info (EERE)

heating degree days below 18° C GIS heating degree days below 18° C GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180,

59

Solar: monthly and annual average latitude tilt irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are regional averages; not point data.

60

Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations  

NLE Websites -- All DOE Office Websites (Extended Search)

Computation of Domain-Averaged Irradiance Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations S. Kato Center for Atmospheric Sciences Hampton University Hampton, Virginia Introduction Recent development of remote sensing instruments by Atmospheric Radiation Measurement (ARM?) Program provides information of spatial and temporal variability of cloud structures. However it is not clear what cloud properties are required to express complicated cloud fields in a realistic way and how to use them in a relatively simple one-dimensional (1D) radiative transfer model to compute the domain averaged irradiance. To address this issue, a simple shortwave radiative transfer model that can treat the vertical cloud optical property correlation is developed. The model is based on the gamma-weighted

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


61

Solar: monthly and annual average direct normal irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Direct Normal Irradiance (kWh/m^2/day)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Direct Normal Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

62

Climate: monthly and annual average air temperature at 10 m GIS data at  

Open Energy Info (EERE)

air temperature at 10 m GIS data at air temperature at 10 m GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Air Temperature at 10 m Above The Surface Of The Earth (deg C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Air Temperature at 10 m Above The Surface Of The Earth (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

63

Climate: monthly and annual average Earth skin temperature GIS data at  

Open Energy Info (EERE)

Earth skin temperature GIS data at Earth skin temperature GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Earth Skin Temperature (° C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Earth Skin Temperature (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

64

Time Series of Daily Averaged Cloud Fractions over Landfast First-Year Sea Ice from Multiple Data Sources  

Science Conference Proceedings (OSTI)

The time series of daily averaged cloud fractions (CFs) collected from different platformstwo Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on Terra and Aqua satellites, the National Centers for Environmental Prediction (NCEP)...

Xin Jin; John M. Hanesiak; David G. Barber

2007-11-01T23:59:59.000Z

65

Simple Radiative Transfer Methods for Calculating Domain-Averaged Solar Fluxes in Inhomogeneous Clouds  

Science Conference Proceedings (OSTI)

The use of cloud fraction as a means of incorporating horizontal cloud inhomogeneity in radiative transfer calculations is widespread in the atmospheric science community. This study addresses some issues pertaining to the use of cloud fraction ...

P. M. Gabriel; K. F. Evans

1996-03-01T23:59:59.000Z

66

Long-Range Predictability in the Tropics. Part I: Monthly Averages  

Science Conference Proceedings (OSTI)

The sensitivity to initial and boundary conditions of monthly mean tropical long-range forecasts (114 weeks) during Northern Hemisphere winter is studied with a numerical model. Five predictability experiments with different combinations of ...

Thomas Reichler; John O. Roads

2005-03-01T23:59:59.000Z

67

NeuroInflow: The New Model to Forecast Average Monthly Inflow  

Science Conference Proceedings (OSTI)

In utilities using a mixture of hydroelectric and non-hydroelectricpower, the economics of the hydroelectricplants depend upon the reservoir height and the inflowinto the reservoir for several months into the future.Accurate forecasts of reservoir inflow ...

Muser Valena; Teresa Ludermir

2002-11-01T23:59:59.000Z

68

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR Ethiopia GEF GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.8 MiB) text/csv icon Download Data (csv, 5.6 MiB)

69

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR GEF GHI GIS Nepal solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 593.8 KiB) text/csv icon Download Data (csv, 1.2 MiB)

70

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR GHI GIS solar Sri Lanka SWERA UNEP Data text/csv icon Download Data (csv, 296.1 KiB) application/zip icon Download Shapefile (zip, 153.7 KiB)

71

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

China from DLR China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China CRED CREIA DLR DNI GEF GIS solar SWERA UNEP Data text/csv icon Download Data (csv, 8.8 MiB) application/zip icon Download Shapefile (zip, 4.4 MiB)

72

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GIS Kenya solar SWERA UNEP Data text/csv icon Download Data (csv, 2.5 MiB) application/zip icon Download Shapefile (zip, 1.3 MiB)

73

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI Ghana solar SWERA UNEP Data text/csv icon Download Data (csv, 1 MiB) application/zip icon Download Shapefile (zip, 519.6 KiB)

74

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

West China from DLR West China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China CRED CREIA DLR GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 4.4 MiB) text/csv icon Download Data (csv, 8.9 MiB)

75

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR Ghana GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 504 KiB) text/csv icon Download Data (csv, 1 MiB)

76

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GIS Nepal solar SWERA UNEP Data text/csv icon Download Data (csv, 1.2 MiB) application/zip icon Download Shapefile (zip, 600.4 KiB)

77

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GIS solar Sri Lanka SWERA UNEP Data application/zip icon Download Shapefile (zip, 155.1 KiB) text/csv icon Download Data (csv, 295.7 KiB)

78

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR GEF GHI GIS Kenya NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 1.3 MiB) text/csv icon Download Data (csv, 2.5 MiB)

79

A monthly climatological study of cloud-to-ground lightning characteristics throughout the contiguous United States: 1989-1994  

E-Print Network (OSTI)

The National Lightning Detection Network (NLDN) has been in operation since 1989. The NLDN is currently composed of a mixture of magnetic direction finders (DFs) and time-of-arrival (TOA) sensors which locate cloud-to-ground (CG) flashes as well as measure their polarity, peak current, and multiplicity. A monthly climatology for the contiguous United States was created for the six years of data to establish an "average year". Analysis was completed for the mean values and interannual variability of several lightning parameters: ground flash density, positive ground flash density, percentage positive lightning, multiplicity, and median first-stroke peak currents. In addition to these lightning characteristics, correlation between monthly lightning and precipitation was analyzed in different areas throughout the country. The 1989-1994 mean monthly maximum values were analyzed. Maximum monthly ground flash density values ranged from 0.050 km-2 in December along the southern Mississippi Valley to 2.96 km-2 in July in central Florida. Similarly, positive ground flash density values ranged from 0.0068 km-2 in December in eastern Texas to 0.12 km-2 in July in northern Kansas. In the percentage positive lightning field a persistent protrusion, with locally higher values, appeared from Minnesota southwestward into Colorado from April through August. Mean monthly percentage positive lightning was highest in December at 16.0% and lowest in August at 3.0%. The mean monthly negative multiplicity ranged from 2.32 in February to 2.78 in June. The mean monthly positive multiplicity ranged from 1.26 in December to 1.35 in July. Geographically, the monthly maxima for the negative multiplicity field were generally found along the Gulf Coastal states, especially in Florida during the summer months. Unlike the negative flashes, the monthly maxima for the positive flashes were generally found in the Midwest. The monthly positive median first-stroke peak current ranged from 39 kA in July-September to 66 kA in December and January. Values for negative flashes ranged from 29 kA in May and June to 43 kA in January. Finally, the correlation between monthly precipitation and lightning flash count was much greater (r 2 >0.6) in the central Great Plains than in the Pacific Northwest and Deep South (r 2 <0.11).

Silver, Alan Corey

1995-01-01T23:59:59.000Z

80

Arctic Ocean Radiative Fluxes and Cloud Forcing Estimated from the ISCCP C2 Cloud Dataset, 1983?1990  

Science Conference Proceedings (OSTI)

Radiative fluxes and cloud forcings for the ocean areas of the Arctic are computed from the monthly cloud product of the International Satellite Cloud Climatology Project (ISCCP) for 1983?90. Spatially averaged short-wave fluxes compare well with ...

Axel J. Schweiger; Jeffrey R. Key

1994-08-01T23:59:59.000Z

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


81

Insolation data manual: long-term monthly averages of solar radiation, temperature, degree-days and global anti K/sub T/ for 248 national weather service stations  

DOE Green Energy (OSTI)

Monthly averaged data is presented which describes the availability of solar radiation at 248 National Weather Service stations. Monthly and annual average daily insolation and temperature values have been computed from a base of 24 to 25 years of data. Average daily maximum, minimum, and monthly temperatures are provided for most locations in both Celsius and Fahrenheit. Heating and cooling degree-days were computed relative to a base of 18.3/sup 0/C (65/sup 0/F). For each station, global anti K/sub T/ (cloudiness index) were calculated on a monthly and annual basis. (MHR)

Knapp, C L; Stoffel, T L; Whitaker, S D

1980-10-01T23:59:59.000Z

82

A Parameterization for Computing Grid-Averaged Solar Fluxes for Inhomogeneous Marine Boundary Layer Clouds. Part I: Methodology and Homogeneous Biases  

Science Conference Proceedings (OSTI)

A method of computing grid-averaged solar radiative fluxes for horizontally inhomogeneous marine boundary layer cloud fields is presented. Its underlying assumptions are as follows: i) the independent pixel approximation (IPA) is applicable and ...

Howard W. Barker

1996-08-01T23:59:59.000Z

83

Solar: monthly and annual latitude tilt horizontal GIS data at...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

84

The Effect of Cumulus Cloud Field Anisotropy on Domain-Averaged Solar Fluxes and Atmospheric Heating Rates  

Science Conference Proceedings (OSTI)

Cumulus clouds can become tilted or elongated in the presence of wind shear. Nevertheless, most studies of the interaction of cumulus clouds and radiation have assumed these clouds to be isotropic. This paper describes an investigation of the ...

Laura M. Hinkelman; K. Franklin Evans; Eugene E. Clothiaux; Thomas P. Ackerman; Paul W. Stackhouse Jr.

2007-10-01T23:59:59.000Z

85

An Eight-Month Sample of Marine Stratocumulus Cloud Fraction, Albedo, and Integrated Liquid Water  

Science Conference Proceedings (OSTI)

As part of the First International Satellite Cloud Climatology Regional Experiment (FIRE), a surface meteorology and shortwave/longwave irradiance station was operated in a marine stratocumulus regime on the northwest tip of San Nicolas island ...

C. W. Fairall; J. E. Hare; J. B. Snider

1990-08-01T23:59:59.000Z

86

Solar: monthly direct normal (DNI) GIS data at 40km resolution...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

87

Solar: monthly global horizontal (GHI) GIS data at 40km resolution...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

88

Solar: monthly latitude tilt GIS data at 40km resolution for...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

89

Monthly average clear-sky broadband irradiance database for worldwide solar heat gain and building cooling load calculations  

Science Conference Proceedings (OSTI)

This paper establishes the formulation of a new clear-sky solar radiation model appropriate for algorithms calculating cooling loads in buildings. The aim is to replace the ASHRAE clear-sky model of 1967, whose limitations are well known and are reviewed. The new model is derived in two steps. The first step consists of obtaining a reference irradiance dataset from the REST2 model, which uses a high-performance, validated, two-band clear-sky algorithm. REST2 requires detailed inputs about atmospheric conditions such as aerosols, water vapor, ozone, and ground albedo. The development of global atmospheric datasets used as inputs to REST2 is reviewed. For the most part, these datasets are derived from space observations to guarantee universality and accuracy. In the case of aerosols, point-source terrestrial measurements were also used as ground truthing of the satellite data. The second step of the model consists of fits derived from a REST2-based reference irradiance dataset. These fits enable the derivation of compact, but relatively accurate expressions, for beam and diffuse clear-sky irradiance. The fitted expressions require the tabulation of only two pseudo-optical depths for each month of the year. The resulting model, and its tabulated data, are expected to be incorporated in the 2009 edition of the ASHRAE Handbook of Fundamentals. (author)

Gueymard, Christian A. [Solar Consulting Services, P.O. Box 392, Colebrook, NH 03576 (United States); Thevenard, Didier [Numerical Logics Inc., 498 Edenvalley Cres., Waterloo, Ont. (Canada)

2009-11-15T23:59:59.000Z

90

A Local Ensemble Prediction System for Fog and Low Clouds: Construction, Bayesian Model Averaging Calibration, and Validation  

Science Conference Proceedings (OSTI)

At main international airports, air traffic safety and economic issues related to poor visibility conditions are crucial. Meteorologists face the challenge of supplying airport authorities with accurate forecasts of fog and cloud ceiling. These ...

Stevie Roquelaure; Thierry Bergot

2008-12-01T23:59:59.000Z

91

A Simple Parcel Method for Prediction of Cumulus Onset and Area-Averaged Cloud Amount over Heterogeneous Land Surfaces  

Science Conference Proceedings (OSTI)

The purpose of this note is to compare several methods for predicting the onset and quantitative amount of cloud cover over heterogeneous land surfaces. Among the methods tested are that of Wilde et al. (1985) and a new, simple parcel approach. ...

Peter J. Wetzel

1990-06-01T23:59:59.000Z

92

Clouds  

NLE Websites -- All DOE Office Websites (Extended Search)

heated by the sun, produces rising columns of air in which the moisture condenses into tall fleecy white clouds At night, when the sky is clear, the earth cools to give those...

93

A Parameterization for Computing Grid-Averaged Solar Fluxes for Inhomogeneous Marine Boundary Layer Clouds. Part II: Validation Using Satellite Data  

Science Conference Proceedings (OSTI)

The Independent Pixel approximation (IPA) is one of the simplest methods of computing solar radiative fluxes for inhomogencous clouds. It claims that if p(?) is a normalized probability density function for cloud optical depth ? and Rpp(?) is ...

Howard W. Barker; Bruce A. Wiellicki; Lindsay Parker

1996-08-01T23:59:59.000Z

94

Average Commercial Price  

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

Residential Price Average Commercial Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

95

On the Analysis of a Cloud Seeding Dataset over Tasmania  

Science Conference Proceedings (OSTI)

An analysis of cloud seeding activity for the period 19602005 over a hydroelectric catchment (target) area located in central Tasmania, Australia, is presented. The analysis is performed using a double ratio on monthly area-averaged rainfall for ...

Anthony E. Morrison; Steven T. Siems; Michael J. Manton; Alex Nazarov

2009-06-01T23:59:59.000Z

96

Cloud Types and the Tropical Earth Radiation Budget  

Science Conference Proceedings (OSTI)

Nimbus-7 cloud and earth radiation budget data are compared in a study of the effects of clouds on the tropical radiation budget. The data consist of daily averages over fixed (500 km)2 target areas, and the months of July 1979 and January 1980 ...

Harbans L. Dhuria; H. Lee Kyle

1990-12-01T23:59:59.000Z

97

Spatial and Temporal Scales of Precipitating Tropical Cloud Systems in Satellite Imagery and the NCAR CCM3  

Science Conference Proceedings (OSTI)

Testing general circulation model parameterizations against observations is traditionally done by comparing simulated and observed, time-averaged quantities, such as monthly mean cloud cover, evaluated on a stationary grid. This approach ignores ...

Eric M. Wilcox

2003-11-01T23:59:59.000Z

98

Climatological Data For Clouds Over the Globe From Surface Observations,  

NLE Websites -- All DOE Office Websites (Extended Search)

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

99

Annual and Nonseasonal Variability of Monthly Low-Level Wind Fields over the Southeastern Tropical Pacific  

Science Conference Proceedings (OSTI)

The time and space variability of low-level winds over the Southeast Tropical Pacific (SETP) region is described for the 6-year period 197480. The data set consists of monthly averaged low-level cloud-motion vector winds supplemented by coastal ...

David B. Enfield

1981-10-01T23:59:59.000Z

100

A 39-Yr Survey of Cloud Changes from Land Stations Worldwide 19712009: Long-Term Trends, Relation to Aerosols, and Expansion of the Tropical Belt  

Science Conference Proceedings (OSTI)

An archive of land-based, surface-observed cloud reports has been updated and now spans 39 years from 1971 through 2009. Cloud-type information at weather stations is available in individual reports or in long-term, seasonal, and monthly averages. ...

Ryan Eastman; Stephen G. Warren

2013-02-01T23:59:59.000Z

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


101

average | OpenEI  

Open Energy Info (EERE)

average average Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (7 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

102

Monthly Reports  

NLE Websites -- All DOE Office Websites (Extended Search)

Environmental Management Monthly Reports - FY 2012 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

103

Monthly Reports  

NLE Websites -- All DOE Office Websites (Extended Search)

Environmental Management Monthly Reports - FY 2013 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

104

Petroleum Supply Monthly  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Petroleum Supply Monthly, October 2011 11 Table 4. U.S. Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum ...

105

Solar: monthly direct normal (DNI) GIS data at 40km resolution for  

Open Energy Info (EERE)

40km resolution for 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

106

Solar: monthly global horizontal (GHI) GIS data at 40km resolution for  

Open Energy Info (EERE)

40km resolution for 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

107

IC cloud: Enabling compositional cloud  

Science Conference Proceedings (OSTI)

Cloud computing has attracted great interest from both academic and industrial communities. Different paradigms, architectures and applications based on the concept of cloud have emerged. Although many of them have been quite successful, efforts are ... Keywords: Cloud computing, cloud elasticity, cloud service, compositional cloud, infrastructure as a service (IaaS)

Yi-Ke Guo; Li Guo

2011-08-01T23:59:59.000Z

108

Interrelationships between Cloud Properties and Sea Surface Temperatures on Seasonal and Interannual Time Scales  

Science Conference Proceedings (OSTI)

Monthly means of selected variables of the 2.5 International Satellite Cloud Climatology Project (ISCCP) C2 total cloud cover (CC), cloud-top pressure (CTP), and cloud water (CW) are statistically related to sea surface temperature (SST). The ...

Bryan C. Weare

1994-02-01T23:59:59.000Z

109

The Link between Summertime Cloud Radiative Forcing and Extratropical Cyclones in the North Pacific  

Science Conference Proceedings (OSTI)

This paper examines the role of extratropical cyclones in determining the cloud radiative forcing over the North Pacific during summer. Specifically, this study uses daily and monthly ERBE cloud radiative forcing, monthly ISCCP cloud-type ...

C. P. Weaver; V. Ramanathan

1996-09-01T23:59:59.000Z

110

Averaging-Related Biases in Monthly Latent Heat Fluxes  

Science Conference Proceedings (OSTI)

Seasonal-to-multidecadal applications that require ocean surface energy fluxes often require accuracies of surface turbulent fluxes to be 5 W m?2 or better. While there is little doubt that uncertainties in the flux algorithms and input data can ...

Paul J. Hughes; Mark A. Bourassa; Jeremy J. Rolph; Shawn R. Smith

2012-07-01T23:59:59.000Z

111

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: November 2011 Electric Power Sector Coal Stocks: November 2011 Stocks As discussed in this month's feature story, electric power sector coal stocks continued to replenish after the summer burn in November, though stockpile levels remain below 2010 and 2009 levels. All coal stockpile levels declined from November 2010, with bituminous coal stockpile levels 9 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants dropped slightly from last month and remained below levels seen in November of 2010 or 2009. While

112

End of Month Working  

Gasoline and Diesel Fuel Update (EIA)

The level of gas in storage at the end of the last heating season (March The level of gas in storage at the end of the last heating season (March 31, 2000) was 1,150 billion cubic feet (Bcf), just above the 1995-1999 average of 1,139 Bcf. Underground working gas storage levels are currently about 8-9 percent below year-ago levels. In large part, this is because injection rates since April 1 have been below average. Storage injections picked up recently due to warm weather in the last half of October. The month of November is generally the last month available in the year for injections into storage. A cold November would curtail net injections into storage. If net injections continue at average levels this winter, we project that storage levels will be low all winter, reaching a level of 818 Bcf at the end of March, the lowest level since 1996

113

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1995 January ........................... 86.9 87.6 86.7 77.8 84.8 78.4 87.3 85.7 88.4 102.4 February ......................... 87.4 88.2 87.8 77.4 84.9 78.5 87.3 85.9 88.5 103.4 March .............................. 86.6 87.3 87.0 76.3 82.5 77.7 87.0 85.6 87.6 103.3 April ................................ 85.4 85.8 85.2 76.7 81.9 76.6 86.5 84.8 87.0 100.0 May ................................. 86.4 86.9 86.5 78.7 84.7 75.8 86.1 84.5 85.2 93.2 June ................................ 84.6 85.2 84.2 78.1 82.5 74.5 83.2 83.9 83.0 NA July ................................. 82.0 82.4 79.4 76.9 80.6 72.9 81.7 81.7 80.0 85.1 August ............................ 80.7 81.1 77.4 76.7 80.9 73.0 85.3 81.7 82.1 W September ...................... 82.3 82.7 79.2 76.2 81.7 73.8 84.9 82.5 82.4 86.1 October ...........................

114

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1997 January ........................... 107.9 109.0 108.6 105.2 106.5 102.1 107.0 104.4 106.5 130.4 February ......................... 105.1 106.0 105.2 102.2 103.4 101.0 104.5 103.5 104.2 127.0 March .............................. 101.6 102.5 99.3 94.3 97.7 98.6 100.4 103.1 100.7 121.4 April ................................ 99.2 100.3 97.6 90.9 95.9 95.2 99.4 100.4 100.1 116.3 May ................................. 96.4 97.1 93.4 90.6 93.0 91.9 97.3 97.7 96.4 108.6 June ................................ 92.3 92.9 89.9 88.1 89.1 89.1 93.3 92.9 90.8 99.9 July ................................. 88.3 88.7 83.7 86.7 87.5 85.6 91.6 91.1 88.8 W August ............................ 86.9 86.8 84.2 85.8 84.7 85.3 91.0 92.7 89.2 W September ...................... 88.7 89.0 85.5 87.0 87.0 86.3 91.2 91.7 88.5 NA October ...........................

115

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1996 January ........................... 94.6 96.1 94.5 93.0 92.0 89.1 94.9 92.6 94.7 111.7 February ......................... 95.9 97.5 96.2 93.2 93.8 90.8 95.6 93.7 94.4 112.9 March .............................. 99.1 100.6 99.6 96.7 99.3 93.8 99.7 97.3 96.1 117.7 April ................................ 101.5 102.7 102.1 98.7 101.5 96.5 98.8 100.3 100.7 115.9 May ................................. 97.8 98.1 96.8 95.4 95.9 93.6 94.9 98.8 98.0 109.7 June ................................ 91.0 91.3 88.8 90.1 87.9 87.2 88.7 92.2 91.9 102.5 July ................................. 87.9 88.0 84.9 87.5 87.5 83.6 87.7 88.5 91.0 97.3 August ............................ 88.1 88.2 84.0 89.5 89.0 85.1 88.3 89.0 91.0 99.2 September ...................... 94.5 94.4 92.5 96.4 93.1 91.9 96.6 94.4 95.3 106.2 October ...........................

116

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1994 January ........................... 89.6 91.0 90.2 83.8 88.4 80.4 87.3 88.8 92.1 102.5 February ......................... 92.9 94.6 93.8 90.4 91.3 86.6 91.4 92.3 91.5 105.5 March .............................. 91.4 92.5 92.1 85.9 88.3 83.6 89.4 91.0 91.2 102.0 April ................................ 88.2 89.0 89.4 80.8 86.0 78.2 85.1 88.3 89.2 93.7 May ................................. 86.1 86.6 85.4 76.8 85.1 75.4 83.3 86.7 84.4 83.1 June ................................ 85.2 85.6 86.1 75.6 83.7 73.1 82.3 84.6 82.0 W July ................................. 82.7 83.1 84.2 75.6 82.1 71.8 81.6 83.0 80.5 W August ............................ 82.1 82.4 79.7 78.0 78.7 72.8 84.0 83.8 82.3 81.9 September ...................... 83.2 83.7 80.5 78.5 81.1 72.9 84.7 83.3 83.1 86.2 October ........................... 84.7

117

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1993 January ........................... 94.3 95.7 94.9 85.2 94.0 87.1 91.7 93.4 91.2 105.2 February ......................... 94.6 95.9 96.2 85.4 94.4 86.9 91.8 93.3 90.8 106.8 March .............................. 95.4 96.5 96.7 86.4 94.8 86.6 92.4 93.7 92.4 108.5 April ................................ 92.6 93.4 93.6 83.0 91.5 84.5 90.4 91.2 91.6 106.7 May ................................. 91.1 91.7 91.6 81.7 91.1 83.9 90.7 91.3 89.4 104.3 June ................................ 88.9 89.4 88.6 81.1 88.6 82.4 87.6 89.7 90.6 100.4 July ................................. 85.6 85.9 86.5 78.5 83.9 78.3 85.2 85.5 86.4 100.2 August ............................ 84.1 84.6 84.0 77.4 83.4 76.0 82.7 85.6 83.5 96.1 September ...................... 85.5 85.8 84.2 78.3 83.8 74.9 84.8 86.6 84.6 95.5 October ...........................

118

Electric Power Monthly - Monthly Data Tables Monthly electricity...  

Open Energy Info (EERE)

Electric Power Monthly - Monthly Data Tables Monthly electricity generation figures (and the fuel consumed to produce it). Source information available at

119

Stratocumulus Clouds  

Science Conference Proceedings (OSTI)

This paper reviews the current knowledge of the climatological, structural, and organizational aspects of stratocumulus clouds and the physical processes controlling them. More of Earths surface is covered by stratocumulus clouds than by any ...

Robert Wood

2012-08-01T23:59:59.000Z

120

AVERAGE SHIFTED HISTOGRAM  

Science Conference Proceedings (OSTI)

... LET YPPF = XCDF LET XPPF = YCDF. Default: None Synonyms: ASH is a synonym for the AVERAGE SHIFTED HISTOGRAM command. ...

2010-12-06T23:59:59.000Z

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


121

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: October 2013 Electric Power Sector Coal Stocks: October 2013 Stocks In October 2013, total coal stocks increased 0.8 percent from the previous month. This follows the normal seasonal pattern for this time of year as the country begins to build up coal stocks to be consumed during the winter months. Compared to last October, coal stocks decreased 17.7 percent. This occurred because coal stocks in October 2012 were at an extremely high level. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The total bituminous supply decreased from 85 days the previous month to 78 days in October 2013, while the total subbituminous supply decreased from 63 days in September 2013 to

122

Statistical cloud coverage as a function of cloud optical thickness  

Science Conference Proceedings (OSTI)

The time-averaged, daylight fractional statistical cloud coverages as a function of cloud optical thickness and selected values of cloud transmission were determined for various geographic areas using D1 data from the International Satellite Cloud Climatology Project (ISCCP). The regions of interest chosen for this report are: global earth, global sea, global land, global coast, and the six 30{degree}-latitude bands over sea, over land, and over coast with longitude 0{degree}--360{degree}. This statistical information is deduced from data determined from satellite measurements of terrestrial, atmospheric and cloud properties by the International Satellite Cloud Climatology Project. In particular the results are based on the ISCCP D1 data base.

Brower, K.L.

1998-07-01T23:59:59.000Z

123

Precipitation and Latent Heating Characteristics of the Major Tropical Western Pacific Cloud Regimes  

Science Conference Proceedings (OSTI)

An objective tropical cloud regime classification based on daytime averaged cloud-top pressure and optical thickness information from the International Satellite Cloud Climatology Project (ISCCP) is combined with precipitation and latent heating ...

Christian Jakob; Courtney Schumacher

2008-09-01T23:59:59.000Z

124

Petroleum Supply Monthly - Energy Information Administration  

U.S. Energy Information Administration (EIA)

30 Energy Information Administration/Petroleum Supply Monthly, October 2011 Table 24. PAD District 5 - Year-to-Date Daily Average Supply and Disposition of Crude Oil ...

125

Cloud Chmabers  

NLE Websites -- All DOE Office Websites (Extended Search)

Video - (Requires Windows Media Player) Build your own cloud chamber - Instructions Project Contact: Tom Jordan Web Maintainer: qnet-webmaster@fnal.gov Last Update: May 31, 2011...

126

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: March 2012 Highlights: March 2012 Average natural gas prices at the Henry Hub declined for the eighth straight month leading to a nearly 40% increase in consumption for electricity during March 2012. The warmest March on record for much of the central U.S. drove a 5% decrease in residential retail sales when compared to March 2011. U.S. coal supplies as measured by days of burn were above 80 days for the third straight month in March as declining coal consumption drove coal stockpile increases. Key Indicators Mar 2012 % Change from Mar 2011 Total Net Generation (Thousand MWh) 309,709 -2.9% Residential Retail Price (cents/kWh) 11.76 1.5% Retail Sales (Thousand MWh) 282,453 -2.6% Heating Degree-Days 377 -36.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.22 -45.7% Coal Stocks

127

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

March 2012 | Release Date: May 29, 2012 | Next March 2012 | Release Date: May 29, 2012 | Next Release Date: June 26, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: March 2012 Average natural gas prices at the Henry Hub declined for the eighth straight month leading to a nearly 40% increase in consumption for electricity during March 2012. The warmest March on record for much of the central U.S. drove a 5% decrease in residential retail sales when compared to March 2011. U.S. coal supplies as measured by days of burn were above 80 days for the third straight month in March as declining coal consumption drove

128

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: February 2012 Electric Power Sector Coal Stocks: February 2012 Stocks The unseasonably warm temperatures that the continental United States experienced throughout the winter, coupled with low natural gas prices, caused coal stocks at power plants to increase throughout the winter of 2011 - 2012. During this period, coal stocks usually see a seasonal decline due to the added need for electricity generation from coal plants for spacing heating load. However, it was the sixth straight month that coal stocks increased from the previous month, with this trend likely to continue as the country enters into spring. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current

129

Electric power monthly  

SciTech Connect

The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed for the North American Electric Reliability Council (NERC) regions. Additionally, statistics by company and plant are published in the EPM on capability of new plants, new generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel.

1992-05-01T23:59:59.000Z

130

Electric power monthly  

SciTech Connect

The Energy Information Administration (EIA) prepares the Electric Power Monthly (EPM) for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source, consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead.

1995-08-01T23:59:59.000Z

131

Using MSG-SEVIRI Cloud Physical Properties and Weather Radar Observations for the Detection of Cb/TCu Clouds  

Science Conference Proceedings (OSTI)

A new automated daytime cumulonimbus/towering cumulus (Cb/TCu) cloud detection method for the months of MaySeptember is presented that combines information on cloud physical properties retrieved from the Spinning Enhanced Visible and Infrared ...

Cintia Carbajal Henken; Maurice J. Schmeits; Hartwig Deneke; Rob A. Roebeling

2011-07-01T23:59:59.000Z

132

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: September 2011 Electric Power Sector Coal Stocks: September 2011 Stocks Electric power sector coal stocks continued to replenish after the summer burn in October, though stockpile levels remain well below 2010 levels. All coal stockpile levels declined from October 2010, with bituminous coal stockpile levels 12 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was generally flat in October 2011 compared to September of this year. The summer of 2011 saw significant declines in total U.S. stockpile levels, which were replenished in the

133

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Reports Electricity Reports Electricity Monthly Update With Data for October 2013 | Release Date: Dec. 20, 2013 | Next Release Date: Jan. 22, 2014 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: October 2013 Thirty-one states saw the average cost of electricity increase by more than two percent, with fourteen states experiencing increases of at least five percent compared to a year ago. Texas (ERCOT) and the Midwest (MISO) experienced above average wholesale electricity prices for October due to unseasonable temperatures. The New York City (Transco Zone 6 NY) natural gas price was

134

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: December 2011 Electric Power Sector Coal Stocks: December 2011 Stocks Temperate weather throughout the fall has allowed electric power sector coal stocks to replenish from the summer burn. All coal stockpile levels were essentially flat when compared to December 2010 and were a mostly up year-to-date. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was essentially flat compared to last month and remained below levels seen in December of 2010 or 2009. While stockpile levels have recovered from summer lows, the increasing

135

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Coal Stocks: August 2011 Coal Stocks: August 2011 Stocks Coal stocks continued the usual summer decline as utilities burned into their summer stockpile in August. Sigificant declines from August 2010 were seen in total coal stockpiles, driven by a 14 percent drop in bituminous coal stockpiles as well as a 10 percent drop in subbituminous coal stockpiles. Lignite stockpiles declined by 6 percent over the same time period. Days of burn The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants increased slightly in August 2011 compared to previous months. This was largely driven by increases in

136

Cellular clouds  

Science Conference Proceedings (OSTI)

This paper progresses an analysis of what it means to be a cellular network operator and what form the ownership and control of future cellular networks may take. Alternative modes of ownership may allow for the creation of more flexible cellular networking ... Keywords: Cellular Cloud, Cellular network, Cloud Computing, Cognitive radio, DSA, LTE, MVNO, Services, Utility Cellular Network

Tim Forde; Linda Doyle

2013-03-01T23:59:59.000Z

137

Cloud Diabatic Forcing of the Atmosphere, Estimated from Simultaneous ECMWF Diabatic Heating and ISCCP Cloud Amount Observations  

Science Conference Proceedings (OSTI)

The cloud diabatic forcing (CDF) of the atmosphere, defined as the difference between the diabatic heating in average and in clear-sky conditions is estimated from time series of simultaneous observations of diabatic heating and cloud amount. The ...

Peter Siegmund

1993-12-01T23:59:59.000Z

138

Reducing Cloud Contamination in ATSR Averaged Sea Surface Temperature Data  

Science Conference Proceedings (OSTI)

The Along Track Scanning Radiometer (ATSR) was launched in July 1991 on the European Space Agency's first remote sensing satellite ERS-1. ATSR has the potential to measure sea surface temperature (SST) to a precision of 0.3 K, which is more than ...

Matthew S. Jones; Mark A. Saunders; Trevor H. Guymer

1996-04-01T23:59:59.000Z

139

Erroneous Relationships among Humidity and Cloud Forcing Variables in Three Global Climate Models  

Science Conference Proceedings (OSTI)

Links are examined between time-averaged cloud radiative properties, particularly the longwave and shortwave components of cloud radiative forcing (CRF), and properties of the long-term averages of atmospheric soundings, in particular upper-...

Florian Bennhold; Steven Sherwood

2008-09-01T23:59:59.000Z

140

Chapter 5. Retail Sales, Revenue, and Average Retail Price of ...  

U.S. Energy Information Administration (EIA)

106 U.S. Energy Information Administration/Electric Power Monthly June 2012 Chapter 5. Retail Sales, Revenue, and Average Retail Price of Electricity

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


141

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

142

Average Commercial Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

143

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

144

Average Residential Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

145

An Investigation with a General Circulation Model of the Climatic Effects of Cloud Albedo Changes Caused by Atmospheric Pollution  

Science Conference Proceedings (OSTI)

A hemispheric general circulation model, with fixed zonally averaged cloud cover, was used to investigate the climatic impact of increased albedo of low-level clouds caused by atmospheric pollution. The albedo of these clouds was increased from ...

B. G. Hunt

1982-08-01T23:59:59.000Z

146

DOE Average Results  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE DOE Average Results FY 12 DOE Target FY 12 Customer Perspective: Customer Satisfaction: -Timeliness 92 88 -Quality 94 92 Effective Service Partnership: -Extent of Customer Satisfaction with the responsiveness, etc. 90 92 Internal Business Perspective: Acquisition Excellence: -Extent to which internal quality control systems are effective 90 88 Most Effective Use of Contracting Approaches to Maximize Efficiency and Cost Effectiveness: Use of Competition: -% of total $'s obligated on competitive acquisitions >$3000 (Agency Level Only) 94 85 -% of acquisition actions competed for actions > $3000 (Agency Level Only) 65 68 Performance Based Acquisition: - % PBA actions relative to total eligible new acquisition actions (applicable to new actions > $25K) 82

147

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History District of Columbia 13.69 13.90 12.99 12.26 12.24 11.19 1980-2012 Florida 13.07 14.45 11.09 10.60 11.14 10.41 1967-2012 Georgia 13.21 14.30 11.70 10.95 10.51 9.74 1967-2012 Maryland 12.30 13.12 10.87 9.87 10.29 10.00 1967-2012 Michigan 10.02 10.66 9.38 8.95 9.14 8.35 1967-2012 New Jersey 12.10 13.38 10.20 10.11 9.51 8.50 1967-2012 New York 11.82 12.86 10.72 10.88 9.32 7.84 1967-2012 Ohio 11.74 12.77 10.42 9.25 8.55 7.11 1967-2012 Pennsylvania 12.77 14.29 11.83 10.47 10.42 10.24 1967-2012 Virginia

148

Satellite Determination of Stratus Cloud Microphysical Properties  

Science Conference Proceedings (OSTI)

Satellite measurements of liquid water path from SSM/I, broadband albedo from ERBE, and cloud characteristics from ISCCP are used to study stratus regions. An average cloud liquid water path of 0.120 0.032 kg m?2 is derived by dividing the ...

Paquita Zuidema; Dennis L. Hartmann

1995-06-01T23:59:59.000Z

149

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

150

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

151

Average Residential Price  

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

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

152

Cloud computing beyond objects: seeding the cloud  

Science Conference Proceedings (OSTI)

Cloud computing is an emerging computing milieu which dynamically enables scalable and virtually unlimited resources. This panel will discuss emerging tools, skills and technologies that will ""seed the cloud"" - enabling improved interoperability, security, ... Keywords: cloud computing, skills, technologies, tools

Steven Fraser; Robert Biddle; Scott Jordan; Kate Keahey; Bob Marcus; E. Michael Maximilien; Dave Thomas

2009-10-01T23:59:59.000Z

153

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

Burn Non-Lignite Coal Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: October 2010 Section 1. Commentary Electric Power Data In October 2010, the contiguous United States experienced temperatures that were above average. Accordingly, the total population-weighted heating degree days for the United States were 15.6 percent below the October normal. Retail sales of electricity remained relatively unchanged from October 2009. Over the same period, the average U.S. retail price of electricity increased 1.8 percent. For the 12-month period ending October 2010, the average U.S.

154

Petroleum Marketing Monthly  

U.S. Energy Information Administration (EIA)

ii U.S. Energy Information Administration/Petroleum Marketing Monthly August 2011 Preface The Petroleum Marketing Monthly (PMM) provides information and statistical ...

155

February Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

156

November Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

157

January Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

158

March Natural Gas Monthly  

Gasoline and Diesel Fuel Update (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

159

May Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

160

Monthly petroleum product price report  

SciTech Connect

Monthly report supplies national weighted average prices on a monthly basis at different levels of the marketing chain, for petroleum products sold by refiners, large resellers, gas plant operators, and importers. Data are for the year to date and previous year. Some historic data are included to indicate trends. Gasoline price data are collected from retail gasoline dealers. Heating oil prices come from sellers of heating oil to ultimate consumers. A glossary of petroleum products is appended. Petroleum products include motor gasoline, distillate fuel oil, diesel fuel, heating oil, residual fuel oil, aviation fuel, kerosene, petrochemical feedstocks, propane, butane, ethane, and natural gasoline. 12 tables.

1977-11-01T23:59:59.000Z

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


161

Electric power monthly, April 1993  

Science Conference Proceedings (OSTI)

The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

Not Available

1993-05-07T23:59:59.000Z

162

Electric power monthly, May 1993  

SciTech Connect

The Electric Power Monthly (EPM) is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

Not Available

1993-05-25T23:59:59.000Z

163

average air temperature | OpenEI  

Open Energy Info (EERE)

average air temperature average air temperature Dataset Summary Description (Abstract): Air Temperature at 10 m Above The Surface Of The Earth (deg C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Air Temperature at 10 m Above The Surface Of The Earth (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords average air temperature

164

Global, Seasonal Cloud Variations from Satellite Radiance Measurements. Part II. Cloud Properties and Radiative Effects  

Science Conference Proceedings (OSTI)

Global, daily, visible and infrared radiance measurements from the NOAA-5 Scanning Radiometer (SR) are analyzed for the months of January, April, July and October 1977 to infer cloud and surface radiative properties and their effects on the Earth ...

William B. Rossow; Andrew A. Lacis

1990-11-01T23:59:59.000Z

165

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

increased 0.2 percent from February 2010. Over the same period, the average U.S. retail price of electricity increased 3.0 percent. For the 12-month period ending February 2011,...

166

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

9/20/2011 9/20/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: July 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures

167

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

7/22/2011 7/22/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: May 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were slightly below normal in May 2011.

168

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

6/24/2011 6/24/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: April 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were above normal in April 2011.

169

Solar: annual average direct normal (DNI) map at 40km resolution for  

Open Energy Info (EERE)

map at 40km resolution for map at 40km resolution for Central America from NREL Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for concentrating solar power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Central America direct normal DNI map NREL solar SWERA UNEP Data application/pdf icon Download Map (pdf, 67.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency

170

Natural gas monthly  

Science Conference Proceedings (OSTI)

This report presents current data on the consumption, disposition, production, prices, storage, import and export of natural gas in the United States. Also included are operating and financial data for major interstate natural gas pipeline companies plus data on fillings, ceiling prices, and transportation under the Natural Gas Policy Act of 1978. A feature article, entitled Main Line Natural Gas Sales to Industrial Users, 1981, is included. Highlights of this month's publication are: Marketed production of natural gas during 1982 continued its downward trend compared to 1981, with November production of 1511 Bcf compared to 1583 Bcf for November 1981; total natural gas consumption also declined when compared to 1981; as of November 1982, working gas in underground storage was running ahead of a similar period in 1981 by 109 Bcf (3.4 percent); the average wellhead price of natural gas continued to rise in 1982; and applications for determination of maximum lawful prices under the Natural Gas Policy Act (NGPA) showed a decrease from October to November, principally for Section 103 classification wells (new onshore production wells).

Not Available

1983-01-01T23:59:59.000Z

171

Electric power monthly, April 1994  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the U.S., Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. This April 1994 issue contains 1993 year-end data and data through January 1994.

Not Available

1994-04-01T23:59:59.000Z

172

Electric power monthly, May 1994  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Statistics by company and plant are published on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

Not Available

1994-05-01T23:59:59.000Z

173

Electric power monthly, August 1993  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

Not Available

1993-08-13T23:59:59.000Z

174

Electric power monthly, September 1993  

SciTech Connect

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

1993-09-17T23:59:59.000Z

175

Electric Power Monthly, July 1990  

SciTech Connect

The Electric Power Monthly (EPM) is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost in fuel. Quantity, quality, and cost of fuel data lag the net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour data by 1 month. This difference in reporting appears in the national, Census division, and State level tables. However, at the plant level, all statistics presented are for the earlier month for the purpose of comparison. 12 refs., 4 figs., 48 tabs.

1990-10-12T23:59:59.000Z

176

Cloud Computing Operations Research  

Science Conference Proceedings (OSTI)

This paper argues that the cloud computing industry faces many decision problems where operations research OR could add tremendous value. To this end, we provide an OR perspective on cloud computing in three ways. First, we compare the cloud computing ... Keywords: cloud IT, cloud computing, green IT, operations research, supply chain

Ilyas Iyoob, Emrah Zarifoglu, A. B. Dieker

2013-06-01T23:59:59.000Z

177

Electric Power Monthly  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Monthly > Electric Power Monthly Back Issues Electric Power Monthly > Electric Power Monthly Back Issues Electric Power Monthly Back Issues Monthly Excel files zipped 2010 January February March April May June July August September October November December 2009 January February March April May June July August September October November December 2008 January February March March Supplement April May June July August September October November December 2007 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2005 January February March April May June July August September October November December

178

Average Interest Rate for Treasury Securities | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Average Interest Rate for Treasury Securities Average Interest Rate for Treasury Securities Consumer Data Apps Challenges Resources About Blogs Let's Talk Feedback Consumer You are here Data.gov » Communities » Consumer » Data Average Interest Rate for Treasury Securities Dataset Summary Description This dataset shows the average interest rates for U.S Treasury securities for the most recent month compared with the same month of the previous year. The data is broken down by the various marketable and non-marketable securities. The summary page for the data provides links for monthly reports from 2001 through the current year. Average Interest Rates are calculated on the total unmatured interest-bearing debt. The average interest rates for total marketable, total non-marketable and total interest-bearing debt do not include the U.S. Treasury Inflation-Protected Securities.

179

Polar Cloud Climatologies from ISCCP C2 and D2 Datasets  

Science Conference Proceedings (OSTI)

A deterministic radiative transfer model along with data from the International Satellite Cloud Climatology Project (ISCCP) and the Earth Radiation Budget Experiment (ERBE) were used to examine long-term mean monthly cloud climatologies for the ...

N. Hatzianastassiou; N. Cleridou; I. Vardavas

2001-09-01T23:59:59.000Z

180

Application of CALIOP Measurements to the Evaluation of Cloud Phase Derived from MODIS Infrared Channels  

Science Conference Proceedings (OSTI)

In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) infrared-based cloud thermodynamic phase retrievals are evaluated using Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) retrievals for the 6 months from January to ...

Hyoun-Myoung Cho; Shaima L. Nasiri; Ping Yang

2009-10-01T23:59:59.000Z

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


181

The Plane-Parallel Albedo Bias of Liquid Clouds from MODIS Observations  

Science Conference Proceedings (OSTI)

The authors present the global plane-parallel shortwave albedo bias of liquid clouds for two months, July 2003 and January 2004. The cloud optical properties necessary to perform the bias calculations come from the operational Moderate Resolution ...

Lazaros Oreopoulos; Robert F. Cahalan; Steven Platnick

2007-10-01T23:59:59.000Z

182

Monthly Energy Review The Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

use use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. Related Publication: Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949. Contact our National Energy Information Center at 202-586-8800 for more information. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last workday of each month and are usually available electronically late that day. Internet Addresses: E-Mail: infoctr@eia.doe.gov World Wide Web Site: http://www.eia.doe.gov Gopher Site: gopher://gopher.eia.doe.gov FTP Site: ftp://ftp.eia.doe.gov The Monthly Energy Review (ISSN 0095-7356) is published monthly by the Energy Information

183

Fermilab | Women's History Month  

NLE Websites -- All DOE Office Websites (Extended Search)

Women's History Month at Fermilab Fermilab recognized Women's History Month through a series of lab-wide events during March 2010. During the past five decades, women from all...

184

,"Selected National Average Natural Gas Prices"  

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

Selected National Average Natural Gas Prices" Selected National Average Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Average Natural Gas Prices",11,"Monthly","11/2013","1/15/1973" ,"Data 2","Annual Average Natural Gas Prices",11,"Annual",2012,"6/30/1922" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm03vmall.xls" ,"Available from Web Page:","http://www.eia.gov/oil_gas/natural_gas/data_publications/natural_gas_monthly/ngm.html"

185

Cloud Condensation Nuclei  

Science Conference Proceedings (OSTI)

The state of knowledge of the particles upon which liquid droplets condense to form atmospheric water clouds is presented. The realization of cloud condensation nuclei (CCN) as a distinct aerosol subset originated with the cloud microphysical ...

James G. Hudson

1993-04-01T23:59:59.000Z

186

Forecasting of Supercooled Clouds  

Science Conference Proceedings (OSTI)

Using parameterizations of cloud microphysics, a technique to forecast supercooled cloud events is suggested. This technique can be coupled on the mesoscale with a prognostic equation for cloud water to improve aircraft icing forecasts. The ...

Andr Tremblay; Anna Glazer; Wanda Szyrmer; George Isaac; Isztar Zawadzki

1995-07-01T23:59:59.000Z

187

Electric power monthly, July 1994  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels. Data on quantity, quality, and cost of fossil fuels lag data on net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour by 1 month. This difference in reporting appears in the US, Census division, and State level tables. However, for purposes of comparison, plant-level data are presented for the earlier month.

Not Available

1994-07-01T23:59:59.000Z

188

Stratocumulus Cloud Field Reflected Fluxes: The Effect of Cloud Shape  

Science Conference Proceedings (OSTI)

Reflected fluxes are calculated for stratocumulus cloud fields as a function of sky cover, cloud aspect ratio, and cloud shape. Cloud liquid water volume is held invariant as cloud shape is varied so that the results can be utilized more ...

R. M. Welch; B. A. Wielicki

1984-11-01T23:59:59.000Z

189

MonthlyReport  

NLE Websites -- All DOE Office Websites (Extended Search)

0 0 Number of trips 1,610 Distance traveled (mi) 372 Percent of total distance traveled (%) 72% Average Trip Distance (mi) 0.2 Average Driving Speed (mph) 5.2 Average Stops per mile 32.1 Percent of Regen Braking Energy Recovery (%) 13% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 383 Number of trips 114 Distance traveled (mi) 144 Percent of total distance traveled (%) 28% Average Trip Distance (mi) 1.3 Average Driving Speed (mph) 18.3 Average Stops per mile 3.8 Percent of Regen Braking Energy Recovery (%) 16% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 549 Number of trips 5 Distance traveled (mi) 2 Percent of total distance traveled (%) 0% Average Trip Distance (mi) 0.4 Average Driving Speed (mph)

190

MonthlyReport  

NLE Websites -- All DOE Office Websites (Extended Search)

530 530 Number of trips 1,308 Distance traveled (mi) 495 Percent of total distance traveled (%) 69% Average Trip Distance (mi) 0.4 Average Driving Speed (mph) 5.6 Average Stops per mile 31.4 Percent of Regen Braking Energy Recovery (%) 15% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 471 Number of trips 91 Distance traveled (mi) 175 Percent of total distance traveled (%) 24% Average Trip Distance (mi) 1.9 Average Driving Speed (mph) 16.6 Average Stops per mile 3.8 Percent of Regen Braking Energy Recovery (%) 13% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 357 Number of trips 2 Distance traveled (mi) 49 Percent of total distance traveled (%) 7% Average Trip Distance (mi) 24.7 Average Driving Speed (mph)

191

MonthlyReport  

NLE Websites -- All DOE Office Websites (Extended Search)

74 74 Number of trips 399 Distance traveled (mi) 148 Percent of total distance traveled (%) 73% Average Trip Distance (mi) 0.4 Average Driving Speed (mph) 6.3 Average Stops per mile 35.5 Percent of Regen Braking Energy Recovery (%) 11% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 423 Number of trips 27 Distance traveled (mi) 54 Percent of total distance traveled (%) 27% Average Trip Distance (mi) 2.0 Average Driving Speed (mph) 20.7 Average Stops per mile 3.5 Percent of Regen Braking Energy Recovery (%) 15% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 0 Number of trips 0 Distance traveled (mi) 0 Percent of total distance traveled (%) 0% Average Trip Distance (mi) 0.0 Average Driving Speed (mph)

192

MonthlyReport  

NLE Websites -- All DOE Office Websites (Extended Search)

0 0 Number of trips 493 Distance traveled (mi) 189 Percent of total distance traveled (%) 38% Average Trip Distance (mi) 0.4 Average Driving Speed (mph) 4.9 Average Stops per mile 28.7 Percent of Regen Braking Energy Recovery (%) 15% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 377 Number of trips 67 Distance traveled (mi) 275 Percent of total distance traveled (%) 56% Average Trip Distance (mi) 4.1 Average Driving Speed (mph) 17.9 Average Stops per mile 3.7 Percent of Regen Braking Energy Recovery (%) 13% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 438 Number of trips 1 Distance traveled (mi) 29 Percent of total distance traveled (%) 6% Average Trip Distance (mi) 28.7 Average Driving Speed (mph)

193

MonthlyReport  

NLE Websites -- All DOE Office Websites (Extended Search)

505 505 Number of trips 601 Distance traveled (mi) 245 Percent of total distance traveled (%) 62% Average Trip Distance (mi) 0.4 Average Driving Speed (mph) 5.4 Average Stops per mile 34.8 Percent of Regen Braking Energy Recovery (%) 15% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 373 Number of trips 35 Distance traveled (mi) 124 Percent of total distance traveled (%) 31% Average Trip Distance (mi) 3.5 Average Driving Speed (mph) 23.0 Average Stops per mile 3.7 Percent of Regen Braking Energy Recovery (%) 13% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 319 Number of trips 3 Distance traveled (mi) 25 Percent of total distance traveled (%) 6% Average Trip Distance (mi) 8.5 Average Driving Speed (mph)

194

MonthlyReport  

NLE Websites -- All DOE Office Websites (Extended Search)

613 613 Number of trips 89 Distance traveled (mi) 9 Percent of total distance traveled (%) 30% Average Trip Distance (mi) 0.1 Average Driving Speed (mph) 7.0 Average Stops per mile 44.5 Percent of Regen Braking Energy Recovery (%) 9% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 487 Number of trips 8 Distance traveled (mi) 5 Percent of total distance traveled (%) 16% Average Trip Distance (mi) 0.6 Average Driving Speed (mph) 25.0 Average Stops per mile 3.8 Percent of Regen Braking Energy Recovery (%) 6% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 487 Number of trips 7 Distance traveled (mi) 16 Percent of total distance traveled (%) 54% Average Trip Distance (mi) 2.3 Average Driving Speed (mph)

195

Mixing and the Evolution of Cloud Droplet Size Spectra in a Vigorous Continental Cumulus  

Science Conference Proceedings (OSTI)

Aircraft measurements in a vigorous, highly turbulent continental cumulus show predominantly bimodal and multiple peaked cloud droplet spectral shapes. The data are 100 m (1 s) averages. Three factors involved in the development of the cloud ...

Ilga R. Paluch; Charles A. Knight

1984-06-01T23:59:59.000Z

196

Employing Cluster Analysis to Detect Significant Cloud 3D RT Effect Indicators  

Science Conference Proceedings (OSTI)

Three-dimensional cloud field morphology contributes to scene-averaged cloud reflectivity, but climate models do not currently incorporate methods of identifying situations where this contribution is substantial. This work represents an effort to ...

Michael J. Foster; Dana E. Veron

2010-07-01T23:59:59.000Z

197

ARM - Field Campaign - Boundary Layer Cloud IOP  

NLE Websites -- All DOE Office Websites (Extended Search)

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

198

Glossary Term - Cloud Chamber  

NLE Websites -- All DOE Office Websites (Extended Search)

Ceres Previous Term (Ceres) Glossary Main Index Next Term (Composition of the Earth's Atmosphere) Composition of the
Earth's Atmosphere Cloud Chamber A cloud chamber showing the...

199

ARM - Measurement - Cloud phase  

NLE Websites -- All DOE Office Websites (Extended Search)

property that captures the state o f the hydrometeors within a cloud (liquid, ice, or mixed-phase). This is distinct from cloud type that involves property descriptors...

200

Electric Power Monthly, June 1990  

SciTech Connect

The EPM is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. Quantity, quality, and cost of fuel data lag the net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour data by 1 month. This difference in reporting appears in the national, Census division, and State level tables. However, at the plant level, all statistics presented are for the earlier month for the purpose of comparison. 40 tabs.

1990-09-13T23:59:59.000Z

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


201

Monthly Evapotranspiration from Satellite and Conventional Meteorological Observations  

Science Conference Proceedings (OSTI)

Monthly mean satellite measurements of surface heating rate, surface temperature, and normalized difference vegetation index were collected for seven locations in Kansas. These were combined with monthly average surface observations and used in a ...

J. D. Tarpley

1994-05-01T23:59:59.000Z

202

ARM Cloud Retrieval Ensemble Data Set (ACRED)  

SciTech Connect

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.

Zhao, C; Xie, S; Klein, SA; McCoy, R; Comstock, JM; Delano, J; Deng, M; Dunn, M; Hogan, RJ; Jensen, MP; Mace, GG; McFarlane, SA; OConnor, EJ; Protat, A; Shupe, MD; Turner, D; Wang, Z

2011-09-12T23:59:59.000Z

203

Petroleum Marketing Monthly (PMM) - October 2013 With Data for ...  

U.S. Energy Information Administration (EIA)

Highlights. Figure HL1. Crude oil and petroleum product wholesale prices figure data. Highlights Crude Oil. July monthly average prices for crude oil show firm ...

204

Western Area Power Administration Starting Forecast Month: Sierra...  

NLE Websites -- All DOE Office Websites (Extended Search)

based on Green Book ("Average") values. Base Resource September 2013 Twelve-Month Forecast of CVP Generation and Base Resource September 2013 August 2014 Exceedence Level: 90%...

205

Native American Heritage Month  

Energy.gov (U.S. Department of Energy (DOE))

This month, we celebrate the rich heritage and myriad contributions of American Indians and Alaska Natives, and we rededicate ourselves to supporting tribal sovereignty, tribal self-determination,...

206

Natural Gas Monthly  

U.S. Energy Information Administration (EIA)

sector organizations associated with the natural gas industry. Volume and price data are presented each month for ... Tables 1 and 2 ...

207

Electric Power Monthly  

U.S. Energy Information Administration (EIA)

Electric Power Monthly with Data for October 2012. December 2012 . Independent Statistics & Analysis . www.eia.gov . U.S. Department of Energy . ...

208

Electric Power Monthly  

U.S. Energy Information Administration (EIA)

Electric Power Monthly with Data for August 2012. October 2012 . Independent Statistics & Analysis . www.eia.gov . U.S. Department of Energy . ...

209

Natural Gas Monthly Update  

Annual Energy Outlook 2012 (EIA)

2013 | Next Release: February 28, 2013 | full report  | Re-Release Date: February 22, 2013 Previous Issues Month: December 2012 November 2012 October 2012 September 2012 August...

210

Petroleum Supply Monthly  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Petroleum Supply Monthly, October 2011 49 Table 37. Imports of Crude Oil and Petroleum Products by PAD District, ...

211

Monthly Energy Review  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration September 2013 Monthly Energy Review. Note: Information about data precision and revisions. Release Date: September 25, 2013

212

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

Table US8. Average Consumption by Fuels Used, 2005 Physical Units per Household Fuels Used (physical units of consumption per household using the fuel)

213

Convective Cloud Climatologies Constructed from Satellite Imagery  

Science Conference Proceedings (OSTI)

Composites of satellite imagery are constructed for various hours and various summer months on Colorado State University's interactive processing system. Simple averages of visible wavelength imagery are considered as well as averages of ...

Marjorie A. Klitch; John F. Weaver; Frank P. Kelly; Thomas H. Vonder Haar

1985-03-01T23:59:59.000Z

214

Petroleum Supply Monthly  

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

5 May 2013 Table 19. PAD District 4 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, May 2013 (Thousand Barrels per Day) Commodity Supply Disposition...

215

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 Table 11. PAD District 2 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply...

216

Electric Power Monthly  

U.S. Energy Information Administration (EIA)

Table 5.6.A. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, by State . July 2013 U.S. Energy Information Administration ...

217

Electric Power Monthly  

U.S. Energy Information Administration (EIA)

Table 5.6.A. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, by State . June 2013 U.S. Energy Information Administration ...

218

IH&R DEPARTMENT MONTHLY REPORT FOR JULY & AUGUST 1979 R. C. Heatherton  

Office of Legacy Management (LM)

313367 September 11, 1979 IH&R DEPARTMENT MONTHLY REPORT FOR JULY & AUGUST 1979 R. C. Heatherton M. W. Boback Environmental Monitoring - Monthly averages for uranium, alpha and...

219

MonthlyReport  

NLE Websites -- All DOE Office Websites (Extended Search)

4.8 4.8 Overall AC electrical energy consumption (AC Wh/mi) 185 Average Trip Distance 13.1 Total distance traveled (mi) 208,165 Average Ambient Temperature (deg F) 77.6 Electric Vehicle mode operation (EV) Gasoline fuel economy (mpg) No Fuel Used AC electrical energy consumption (AC Wh/mi) 369 Distance traveled (mi) 104,687 Percent of total distance traveled 50.3% Average driving style efficiency (distance weighted)¹ 87% Extended Range mode operation (ERM) Gasoline fuel economy (mpg) 37.2 AC electrical energy consumption (AC Wh/mi) No Elec. Used Distance traveled (mi) 103,478 Percent of total distance traveled 49.7% Average driving style efficiency (distance weighted)¹ 82% City³ Highway³ Percent of miles in EV operation (%) 69.8% 33.9% Percent Number of trips 85.0% 15.0% Average trip distance (mi)

220

Monthly Biodiesel Production Report  

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

Monthly Biodiesel Production Monthly Biodiesel Production Report November 2013 With Data for September 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Monthly Biodiesel Production Report This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or

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


221

Grid-Averaged Surface Fluxes  

Science Conference Proceedings (OSTI)

This study examines the inadequacies of formulations for surface fluxes for use in numerical models of atmospheric flow. The difficulty is that numerical models imply spatial averaging over each grid area. Existing formulations am based on the ...

L. Mahrt

1987-08-01T23:59:59.000Z

222

Geographic Area Month  

Gasoline and Diesel Fuel Update (EIA)

Fuels by PAD District and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month No. 1 Distillate No. 2 Distillate a No. 4 Fuel b Sales to End Users Sales for...

223

December Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

DOEEIA-0130(9712) Distribution CategoryUC-950 Natural Gas Monthly December 1997 Energy Information Administration Office of Oil and Gas U.S. Department of Energy Washington, DC...

224

Petroleum Supply Monthly Archives  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Supply Monthly Petroleum Supply Monthly Petroleum Supply Monthly Archives With Data for December 2011 | Release Date: February 29, 2012 Changes to Table 26. "Production of Crude Oil by PAD District and State": Current State-level data are now included in Table 26, in addition to current U.S. and PAD District sums. State offshore production for Louisiana, Texas, Alaska, and California, which are included in the State totals, are no longer reported separately in a "State Offshore Production" category. Previously, State-level values lagged 2 months behind the U.S. and PAD District values. Beginning with this publication, they will be on the same cycle. Also included in this publication are two additional pages for Table 26 that provide October and November data. With the release of

225

Historical Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

73-92) 73-92) Distribution Category UC-950 Historical Monthly Energy Review 1973-1992 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Historical Monthly Energy Review The Historical Monthly Energy Review (HMER) presents monthly and annual data from 1973 through 1992 on production, consumption, stocks, imports, exports, and prices of the principal energy commodities in the United States. Also included are data on international

226

National Women's History Month  

Energy.gov (U.S. Department of Energy (DOE))

During Women's History Month, we recall that the pioneering legacy of our grandmothers and great-grandmothers is revealed not only in our museums and history books, but also in the fierce...

227

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: August 2011 The U.S. has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at...

228

Black History Month  

Energy.gov (U.S. Department of Energy (DOE))

During National African American History Month, we pay tribute to the contributions of past generations and reaffirm our commitment to keeping the American dream alive for the next generation. In...

229

MonthlyReportAll  

NLE Websites -- All DOE Office Websites (Extended Search)

MonthlyReportAllFleet Summary Report - Hymotion Prius (Kvaser 1 2102010 4:19:25 PM Vehicle Technologies Program 30 Notes: 1 - 9. Please see http:avt.inel.govphevreportnotes...

230

High average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduces the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, Thomas P. (Pleasanton, CA)

1991-01-01T23:59:59.000Z

231

Electric power monthly, January 1994  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

Not Available

1994-01-26T23:59:59.000Z

232

Electric power monthly, October 1993  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

Not Available

1993-10-20T23:59:59.000Z

233

Electric power monthly, February 1994  

SciTech Connect

The Electric Power Monthly (EMP) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

1994-02-16T23:59:59.000Z

234

Posters Climate Zones for Maritime Clouds A. B. White and D....  

NLE Websites -- All DOE Office Websites (Extended Search)

distance from the coastline, sea surface temperature, and average strength of subsidence above the marine boundary layer. Perhaps most descriptive are the cloud base...

235

Near-Real-Time Applications of CloudSat Data  

Science Conference Proceedings (OSTI)

Within 2 months of its launch in April 2006 as part of the Earth Observing System A-Train satellite constellation, the National Aeronautics and Space Administration Earth System Science Pathfinder (ESSP) CloudSat mission began making significant ...

Cristian Mitrescu; Steven Miller; Jeffrey Hawkins; Tristan LEcuyer; Joseph Turk; Philip Partain; Graeme Stephens

2008-07-01T23:59:59.000Z

236

Petroleum Supply Monthly  

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

Table 12. PAD District 2 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-May 2013 (Thousand Barrels per Day) Commodity Supply...

237

Petroleum Supply Monthly  

Annual Energy Outlook 2012 (EIA)

Ending Stocks by PAD District, December 2011 (Thousand Barrels, Except Where Noted) Process PAD Districts U.S. Total 1 2 3 4 5 Total Daily Average Supply Field Production...

238

MonthlyReport  

NLE Websites -- All DOE Office Websites (Extended Search)

(mi) 6.6 44.1 Average driving style efficiency (distance weighted) 84% 85% Chevrolet Volt Vehicle Demonstration Fleet Summary Report Reporting period: May 2011 through June 2011...

239

A Climatology of Midlatitude Continental Clouds from the ARM SGP Central Facility. Part II: Cloud Fraction and Surface Radiative Forcing  

Science Conference Proceedings (OSTI)

Data collected at the Department of Energy Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Central Facility (SCF) are analyzed to determine the monthly and hourly variations of cloud fraction and radiative forcing between ...

Xiquan Dong; Baike Xi; Patrick Minnis

2006-05-01T23:59:59.000Z

240

Storm Peak Lab Cloud Property Validation  

NLE Websites -- All DOE Office Websites (Extended Search)

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

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


241

Monthly Energy Review, August 1997  

Annual Energy Outlook 2012 (EIA)

Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statistics cover the...

242

Monthly Energy Review, October 1997  

Annual Energy Outlook 2012 (EIA)

Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statistics cover the...

243

Windpower Monthly | Open Energy Information  

Open Energy Info (EERE)

Windpower Monthly Jump to: navigation, search Name Windpower Monthly Place Knebel, Denmark Zip DK-8420 Knebe Sector Wind energy Product Windpower Monthly is a energy news magazine....

244

Global Circuit Model with Clouds  

Science Conference Proceedings (OSTI)

Cloud data from the International Satellite Cloud Climatology Project (ISCCP) database have been introduced into the global circuit model developed by Tinsley and Zhou. Using the cloud-top pressure data and cloud type information, the authors ...

Limin Zhou; Brian A. Tinsley

2010-04-01T23:59:59.000Z

245

Core Measure Average KTR Results  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Measure Measure Average KTR Results FY 12 Target FY 12 DOE M&O CONTRACTOR (KTR) BSC RESULTS FY 2012 Customer Perspective and level of communication provided by the procurement office 95 92 Internal Business Perspective: Assessment (%) of the degree to which the purchasing system is in compliance with stakeholder requirements 97 Local Goals % Delivery on-time (includes JIT, excludes Purchase Cards) 88 84 % of total dollars obligated, on actions > $150K , that were awarded using effective competition 73 Local Goals Rapid Purchasing Techniques: -% of transactions placed by users 77 Local Goals -% of transactions placed through electronic commerce 62 Local Goals Average Cycle Time: -Average cycle time for <= $150K 8 6 to 9 days

246

Cloud-to-Ground Lightning Activity in Mesoscale Convective Complexes  

Science Conference Proceedings (OSTI)

A study of cloud-to-ground lightning activity attending an important subclass of mesoscale convective weather systems called the mesoscale convective complex shows that groun discharge flash rates in excess of 1000 h?1 can be sustained on average ...

S. J. Goodman; D. R. MacGorman

1986-12-01T23:59:59.000Z

247

An Operating System for Multicore and Clouds: Mechanisms and Implementation  

E-Print Network (OSTI)

Cloud computers and multicore processors are two emerging classes of computational hardware that have the potential to provide unprecedented compute capacity to the average user. In order for the user to effectively harness ...

Modzelewski, Kevin

2010-02-08T23:59:59.000Z

248

Monthly Energy Statistics  

Gasoline and Diesel Fuel Update (EIA)

July July 2003 E n e r g y P l u g : R e s i d e n t i a l E n e r g y C o n s u m p t i o n Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: July 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the

249

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: March 2012 Regional Wholesale Markets: March 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

250

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

251

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

252

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

253

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

254

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: March 2012 Electric Power Sector Coal Stocks: March 2012 Stocks The seasonal winter drawdown of coal stocks was totally negated during the winter months this year due to low natural gas prices and unseasonably warm temperatures throughout the continental United States. In fact, March 2012 was the seventh straight month that coal stockpiles at power plants increased from the previous month. The largest driver of increasing stockpiles has been declining consumption of coal due to unseasonably warm weather and declining natural gas prices. Because much of the coal supplied to electric generators is purchased through long-term contracts, increasing coal stockpiles have proven difficult for electric power plant operators to handle. Some operators have inventories so high that they are refusing

255

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

256

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

257

monthly | OpenEI  

Open Energy Info (EERE)

714 714 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142280714 Varnish cache server monthly Dataset Summary Description The Florida Geological Survey is where data related to oil, gas, and geothermal resources for the state of Florida are made public. This dataset contains monthly oil and gas production data for January and February of 2011. The dataset is in .xls format, and displays well status, well production, and cumulative data. Source Florida Geological Survey Date Released February 28th, 2011 (3 years ago) Date Updated Unknown Keywords data Florida gas monthly oil production Data application/vnd.ms-excel icon February 2011 oil and gas production data (xls, 33.8 KiB)

258

Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

May May 26, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/05) Distribution Category UC-950 Monthly Energy Review

259

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: November 2011 Regional Wholesale Markets: November 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

260

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

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


261

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: December 2011 Regional Wholesale Markets: December 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

262

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

263

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

264

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: January 2012 Regional Wholesale Markets: January 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

265

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: October 2011 Regional Wholesale Markets: October 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

266

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: February 2012 Regional Wholesale Markets: February 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

267

Nucleation Processes in Deep Convection Simulated by a Cloud-System-Resolving Model with Double-Moment Bulk Microphysics  

Science Conference Proceedings (OSTI)

A novel type of limited double-moment scheme for bulk microphysics is presented here for cloud-system-resolving models (CSRMs). It predicts the average size of cloud droplets and crystals, which is important for representing the radiative impact ...

Vaughan T. J. Philips; Leo J. Donner; Stephen T. Garner

2007-03-01T23:59:59.000Z

268

TOWARDS A CHARACTERIZATION OF ARCTIC MIXED-PHASE CLOUDS CIRES/NOAA/ETL  

E-Print Network (OSTI)

, radar-based retrieval methods. On average, mixed-phase cloud ice particle mean diameters increase fromTOWARDS A CHARACTERIZATION OF ARCTIC MIXED-PHASE CLOUDS Shupe, M. CIRES/NOAA/ETL Kollias, P Laboratory P.O. Box, Upton, NY www.bnl.gov ABSTRACT Mixed-phase clouds play a unique role in the Arctic

269

Cloud Computing Forum & Workshop II  

Science Conference Proceedings (OSTI)

Cloud Computing Forum & Workshop II. Purpose: On May 20, 2010, NIST hosted the first Cloud Computing Forum & Workshop. ...

2013-08-07T23:59:59.000Z

270

ISCCP Cloud Algorithm Intercomparison  

Science Conference Proceedings (OSTI)

The International Satellite Cloud Climatology Project (ISCCP) will provide a uniform global climatology of satellite-measured radiances and derive an experimental climatology of cloud radiative properties from these radiances. A pilot study to ...

W. B. Rossow; F. Mosher; E. Kinsella; A. Arking; M. Desbois; E. Harrison; P. Minnis; E. Ruprecht; G. Seze; C. Simmer; E. Smith

1985-09-01T23:59:59.000Z

271

Automated cloud resource orchestration  

Science Conference Proceedings (OSTI)

Realizing Infrastructure-as-a-Service (IaaS) cloud requires a control platform for orchestrating the provisioning, configuration, management and decommissioning of a distributed set of diverse cloud resources (i.e., compute, storage, network) serving ...

Changbin Liu / Boon Thau Loo

2012-01-01T23:59:59.000Z

272

ARM - Measurement - Cloud type  

NLE Websites -- All DOE Office Websites (Extended Search)

type ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud type Cloud type such as...

273

Entrainment in Cumulus Clouds  

Science Conference Proceedings (OSTI)

Entrainment of dry air into cumulus clouds influences the development of the clouds in a major way. The many aspects of the entrainment process are examined in this paper by critically reviewing the literature from the time when investigations ...

Alan M. Blyth

1993-04-01T23:59:59.000Z

274

Clouds in Tropical Cyclones  

Science Conference Proceedings (OSTI)

Clouds within the inner regions of tropical cyclones are unlike those anywhere else in the atmosphere. Convective clouds contributing to cyclogenesis have rotational and deep intense updrafts but tend to have relatively weak downdrafts. Within ...

Robert A. Houze Jr.

2010-02-01T23:59:59.000Z

275

North Australian Cloud Lines  

Science Conference Proceedings (OSTI)

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

W. Drosdowsky; G. J. Holland

1987-11-01T23:59:59.000Z

276

Clouds in Tropical Cyclones  

Science Conference Proceedings (OSTI)

Clouds within the inner regions of tropical cyclones are unlike those anywhere else in the atmosphere. Convective clouds contributing to cyclogenesis have rotational and deep intense updrafts but tend to have relatively weak downdrafts. Within the ...

Robert A. Houze Jr.

2010-02-01T23:59:59.000Z

277

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: March 2012 End Use: March 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

278

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: September 2011 End Use: September 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

279

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2013 End Use: October 2013 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

280

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: January 2012 End Use: January 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

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


281

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: December 2011 End Use: December 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

282

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: August 2011 End Use: August 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

283

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: November 2011 End Use: November 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

284

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: February 2012 End Use: February 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

285

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2011 End Use: October 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

286

Monthly Mean Diurnal Cycles in Surface Temperatures over Land for Global Climate Studies  

Science Conference Proceedings (OSTI)

Monthly mean diurnal cycles (MDCs) of surface temperatures over land, represented in 3-h universal time intervals, have been analyzed. Satellite near-global data from the International Satellite Cloud Climatology Project (ISCCP) with a (280 km)2 ...

Alexander Ignatov; Garik Gutman

1999-07-01T23:59:59.000Z

287

West Texas Intermediate Spot Average ............................  

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

Crude Oil (dollars per barrel) Crude Oil (dollars per barrel) West Texas Intermediate Spot Average ............................ 102.88 93.42 92.24 87.96 94.34 94.10 105.84 96.30 95.67 95.33 95.67 93.33 94.12 97.64 95.00 Brent Spot Average ........................................................... 118.49 108.42 109.61 110.09 112.49 102.58 110.27 108.29 106.33 105.00 103.00 102.00 111.65 108.41 104.08 Imported Average .............................................................. 108.14 101.18 97.18 97.64 98.71 97.39 103.07 100.03 99.64 99.33 99.69 97.35 101.09 99.85 99.04 Refiner Average Acquisition Cost ...................................... 107.61 101.44 97.38 97.27 101.14 99.45 105.24 100.44 100.15 99.82 100.18 97.83 100.83 101.61 99.50 Liquid Fuels (cents per gallon) Refiner Prices for Resale Gasoline .........................................................................

288

Phenomenological Description of Tropical Clouds Using CloudSat Cloud Classification  

Science Conference Proceedings (OSTI)

Two years of tropical oceanic cloud observations are analyzed using the operational CloudSat cloud classification product and CloudAerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) lidar. Relationships are examined between ...

Ali Behrangi; Terry Kubar; Bjorn Lambrigtsen

2012-10-01T23:59:59.000Z

289

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

Science Conference Proceedings (OSTI)

This study proposes a novel technique for computing cloud feedbacks using histograms of cloud fraction as a joint function of cloud-top pressure (CTP) and optical depth (?). These histograms were generated by the International Satellite Cloud ...

Mark D. Zelinka; Stephen A. Klein; Dennis L. Hartmann

2012-06-01T23:59:59.000Z

290

Cloud Computing at NERSC  

NLE Websites -- All DOE Office Websites (Extended Search)

Cloud Computing Energy Efficient Computing Exascale Computing Performance & Monitoring Tools Petascale Initiative Science Gateway Development Storage and IO Technologies Testbeds...

291

Petroleum Supply Monthly  

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

2 2 September 2013 Table 26. Production of Crude Oil by PAD District and State, September 2013 (Thousand Barrels) PAD District and State September 2013 January-September 2013 Total Daily Average Total Daily Average PAD District 1 ...................................................... 1,020 34 8,672 32 Florida ............................................................... 212 7 1,590 6 New York .......................................................... 29 1 263 1 Pennsylvania .................................................... 416 14 3,786 14 Virginia .............................................................. 0 0 5 0 West Virginia .................................................... 363 12 3,026 11 PAD District 2 ...................................................... 44,167 1,472 366,285 1,342

292

November 2010 monthly report  

Science Conference Proceedings (OSTI)

These viewgraphs are to be provided to NNSA to update the status of the B61 Life Extension Project work and activities. The viewgraphs cover such issues as budget, schedule, scope, and the like. They are part of the monthly reporting process.

Neff, Warren E [Los Alamos National Laboratory

2010-12-07T23:59:59.000Z

293

Monthly energy review  

Science Conference Proceedings (OSTI)

This document presents an overview of the Energy Information Administration`s (EIA) recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

NONE

1997-12-01T23:59:59.000Z

294

Monthly Energy Review  

Science Conference Proceedings (OSTI)

This publication presents an overview of the Energy information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief ``energy plugs`` (reviews of EIA publications) are included, as well.

NONE

1996-05-28T23:59:59.000Z

295

Natural gas monthly  

Science Conference Proceedings (OSTI)

Monthly highlights of activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry are presented. Feature articles for this issue are: Natural Gas Overview for Winter 1983-1984 by Karen A. Kelley; and an Analysis of Natural Gas Sales by John H. Herbert. (PSB)

Not Available

1983-11-01T23:59:59.000Z

296

Rope Cloud over Land  

Science Conference Proceedings (OSTI)

Satellite imagery is used to document several rope clouds over the southeastern Unites States. Surface and upper-air data are examined for one of the rope clouds and possible reasons for the development and maintenance of this type cloud line are ...

Von S. Woods

1983-03-01T23:59:59.000Z

297

User Centric Community Clouds  

Science Conference Proceedings (OSTI)

With the evolution in cloud technologies, users are becoming acquainted with seamless service provision. Nevertheless, clouds are not a user centric technology, and users become completely dependent on service providers. We propose a novel concept for ... Keywords: Cloud infrastructure, Identity management, User-centric systems

Joo Paulo Barraca; Alfredo Matos; Rui L. Aguiar

2011-05-01T23:59:59.000Z

298

Leffler's Method of Estimating Average Temperatures of Appalachian Summits: Evaluation in New York  

Science Conference Proceedings (OSTI)

R. J. Leffler recently presented regression equations to estimate average monthly temperatures of Appalachian summits based on the long-term average temperatures on Mt. Washington, New Hampshire, and temperature lapse rates as a function of ...

Thomas W. Schmidlin

1982-05-01T23:59:59.000Z

299

Solar: annual average direct normal (DNI) GIS data at 10km resolution...  

Open Energy Info (EERE)

visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam...

300

Climatological Data for Clouds Over the Globe from Surface Observations  

NLE Websites -- All DOE Office Websites (Extended Search)

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

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


301

Systematic Flights Obtain Long-Term Data Set of Cloud Properties  

NLE Websites -- All DOE Office Websites (Extended Search)

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

302

annual average heating degree days | OpenEI  

Open Energy Info (EERE)

average heating degree days average heating degree days Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/ Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords annual average heating degree days climate GIS NASA SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.7 MiB)

303

Turbulent molecular clouds  

E-Print Network (OSTI)

Stars form within molecular clouds but our understanding of this fundamental process remains hampered by the complexity of the physics that drives their evolution. We review our observational and theoretical knowledge of molecular clouds trying to confront the two approaches wherever possible. After a broad presentation of the cold interstellar medium and molecular clouds, we emphasize the dynamical processes with special focus to turbulence and its impact on cloud evolution. We then review our knowledge of the velocity, density and magnetic fields. We end by openings towards new chemistry models and the links between molecular cloud structure and star--formation rates.

Hennebelle, Patrick

2012-01-01T23:59:59.000Z

304

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

305

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

306

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

307

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

308

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: September 2011 Regional Wholesale Markets: September 2011 The United States. has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily price and demand data is shown for the month of September 2011 and for the year ending on September 30, 2011. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest (Palo Verde) and

309

Petroleum marketing monthly  

SciTech Connect

Petroleum Marketing Monthly (PPM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o. b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

1996-07-01T23:59:59.000Z

310

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

311

Project of the Month  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

project-of-the-month Office of Environmental project-of-the-month Office of Environmental Management 1000 Independence Ave., SW Washington, DC 20585 202-586-7709 en One-of-a-Kind Facility Now in Safe Shutdown http://energy.gov/em/articles/one-kind-facility-now-safe-shutdown One-of-a-Kind Facility Now in Safe Shutdown

312

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

313

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

314

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

315

Petroleum marketing monthly  

SciTech Connect

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

NONE

1996-02-01T23:59:59.000Z

316

Petroleum marketing monthly  

Science Conference Proceedings (OSTI)

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

NONE

1995-08-01T23:59:59.000Z

317

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

318

Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

December December 23, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/contents.html * A portable document format (pdf) file of the complete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.overview/monthly .energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last

319

Assessing the Radiative Impact of Clouds of Low Optical Depth  

NLE Websites -- All DOE Office Websites (Extended Search)

the Radiative Impact of Clouds of the Radiative Impact of Clouds of Low Optical Depth W. O'Hirok and P. Ricchiazzi Institute for Computational Earth System Science University of California Santa Barbara, California C. Gautier Department of Geography and Institute for Computational Earth System Science University of California Santa Barbara, California Introduction Analysis from the International Satellite Cloud Climatology Project (ISCCP) reveals that the global mean cloud optical depth is surprisingly low (i.e., τ = 3.8). While this value is probably dominated by extensive fields of cirrus, the average for liquid water clouds is also likely smaller than expected. It is in this regime (τ <10) where remote measurements of cloud optical thickness or liquid water path (LWP)

320

Petroleum Marketing Monthly Archives  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Monthly Archives Petroleum Marketing Monthly Archives Choose the year of the Petroleum Marketing Monthly you wish to view. + EXPAND ALL 2014-2015 2014 2015 Data ending January 10/2013 2012-2013 2012 2013 Data ending January 10/2011 January 10/2012 February 11/2011 February 11/2012 March 12/2011 March 12/2012 April 1/2012 April 1/2013 May 2/2012 May 2/2013 June 3/2012 June 3/2013 July 4/2012 July 4/2013 August 5/2012 August 5/2013 September 6/2012 September 6/2013 October 7/2012 October 7/2013 November 8/2012 November 8/2013 December 9/2012 December 9/2013 2010 - 2011 2010 2011 Data ending Data ending January 10/2009 January 10/2010 February 11/2009 February 11/2010 March 12/2009 March 12/2010 April 1/2010 April 1/2011 May 2/2010 May 2/2011

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


321

Estimating Monthly Averaged Air-Sea Transfers of Heat and Momentum Using the Bulk Aerodynamic Method  

Science Conference Proceedings (OSTI)

Air-sea transfers of sensible heat, latent heat and momentum are computed from 25 years of middle-latitude and subtropical ocean weather ship data in the North Atlantic and North Pacific using the bulk aerodynamic method. The results show that ...

Steven K. Esbensen; Richard W. Reynolds

1981-04-01T23:59:59.000Z

322

Petroleum Supply Monthly  

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

With Data for September 2013 With Data for September 2013 November 2013 Energy Information Administration/Petroleum Supply Monthly, ii September 2013 EIA DATA ARE AVAILABLE IN ELECTRONIC FORM All current EIA publications are available on the EIA web site. Users can view and download selected pages or entire reports, search for information, download EIA data and analysis applications, and find out about new EIA information products and services: World Wide Web: http://www.eia.doe.gov FTP: ftp://ftp.eia.doe.gov Customers who do not have access to the Internet may call the National Energy Information Center (NEIC) to request a single print-

323

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 February 2012 Energy Information Administration/Petroleum Supply Monthly, ii December 2011 EIA DATA ARE AVAILABLE IN ELECTRONIC FORM All current EIA publications are available on the EIA web site. Users can view and download selected pages or entire reports, search for information, download EIA data and analysis applications, and find out about new EIA information products and services: World Wide Web: http://www.eia.doe.gov FTP: ftp://ftp.eia.doe.gov Customers who do not have access to the Internet may call the National Energy Information Center (NEIC) to request a single print-

324

Petroleum marketing monthly  

SciTech Connect

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data.

NONE

1995-11-01T23:59:59.000Z

325

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

December 2010 December 2010 Section 1. Commentary Electric Power Data In December 2010, the contiguous United States as a whole experienced temperatures that were near normal. However, there was a significant contrast in temperatures across the country as the western United States experienced above average temperatures, while the more densely populated eastern part of the nation experienced temperatures that were significantly below average. Accordingly, the total population-weighted heating degree days for the United States were 9.9 percent above the December normal. Retail sales of electricity increased 2.9 percent from December 2009. Over the same period, the average U.S. retail price of electricity increased 1.3 percent. For the 12-month period ending December 2010, the average U.S. retail price of

326

Variable Average Absolute Percent Differences  

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

Variable Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 1.0 42.6 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 35.2 18.6 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 34.7 19.7 Total Petroleum Consumption (Table 4) 6.2 66.5 Crude Oil Production (Table 5) 6.0 59.6 Petroleum Net Imports (Table 6) 13.3 67.0 Natural Gas Natural Gas Wellhead Prices (Constant $) (Table 7a) 30.7 26.1 Natural Gas Wellhead Prices (Nominal $) (Table 7b) 30.0 27.1 Total Natural Gas Consumption (Table 8) 7.8 70.2 Natural Gas Production (Table 9) 7.1 66.0 Natural Gas Net Imports (Table 10) 29.3 69.7 Coal Coal Prices to Electric Generating Plants (Constant $)** (Table 11a)

327

Cloud displays for mobile users in a display cloud  

Science Conference Proceedings (OSTI)

The display cloud model allows users to select local and remote programmable displays, and add them to a user specific cloud display where the user can arrange them freely. On a cloud display, the abstraction representing remote graphical content is ... Keywords: cloud displays, display clouds, ubiquitous displays

Lars Tiede; John Markus Bjrndalen; Otto J. Anshus

2013-02-01T23:59:59.000Z

328

Cloud Properties Working Group Low Clouds Update  

NLE Websites -- All DOE Office Websites (Extended Search)

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

329

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 19. PAD District 4 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 393 - - - - 330 -111 -46 4 562 0 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 406 0 2 15 -333 - - 0 20 9 61 Pentanes Plus .................................................. 58 0 - - - -33 - - 0 6 9 10 Liquefied Petroleum Gases .............................. 348 - - 2 15 -299 - -

330

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 23. PAD District 5 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 1,197 - - - - 1,186 - -47 -4 2,340 0 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 69 0 14 4 - - - -60 83 20 43 Pentanes Plus .................................................. 32 0 - - - - - - -1 26 2 5 Liquefied Petroleum Gases .............................. 37 - - 14 4 - - - -59

331

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 7. PAD District 1 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 24 - - - - 854 -10 42 -28 935 3 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 42 0 27 67 119 - - -30 26 1 259 Pentanes Plus .................................................. 7 0 - - - - - - 0 - 0 7 Liquefied Petroleum Gases .............................. 35 - - 27 67 119 - - -30 26

332

Petroleum Supply Monthly  

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

6 6 September 2013 Table 20. PAD District 4 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 511 - - - - 289 -169 -49 4 579 0 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 316 0 13 11 -264 - - 2 16 15 44 Pentanes Plus .................................................. 50 0 - - 0 -38 - - 0 6 13 -7 Liquefied Petroleum Gases ..............................

333

Monthly Energy Review - December 2004  

Annual Energy Outlook 2012 (EIA)

for Printing: December 22, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

334

Monthly Energy Review - March 2003  

Annual Energy Outlook 2012 (EIA)

Released for Printing: April 2, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

335

Monthly Energy review - July 2009  

Annual Energy Outlook 2012 (EIA)

9 July 2009 DOEEIA-0035(200907) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical...

336

Monthly Energy Review - December 2007  

Annual Energy Outlook 2012 (EIA)

2) December 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics....

337

Monthly Energy Review - February 2005  

Annual Energy Outlook 2012 (EIA)

for Printing: February 23, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

338

Monthly Energy Review - December 2005  

Annual Energy Outlook 2012 (EIA)

for Printing: December 22, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

339

Monthly Energy Review - May 2005  

Annual Energy Outlook 2012 (EIA)

Released for Printing: May 25, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

340

Monthly Energy Review - August 2005  

Annual Energy Outlook 2012 (EIA)

Released for Printing: August 29, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

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


341

Monthly Energy Review - March 2005  

Annual Energy Outlook 2012 (EIA)

Released for Printing: March 31, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

342

Monthly Energy Review - June 2004  

Annual Energy Outlook 2012 (EIA)

Released for Printing: June 25, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

343

Monthly Energy Review - April 2004  

Annual Energy Outlook 2012 (EIA)

Released for Printing: April 28, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

344

Monthly Energy Review - February 2007  

Annual Energy Outlook 2012 (EIA)

7 DOEEIA-0035(200702) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

345

Monthly Energy Review - June 2005  

Annual Energy Outlook 2012 (EIA)

Released for Printing: June 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

346

Monthly Energy Review - August 2006  

Annual Energy Outlook 2012 (EIA)

Released for Printing: August 28, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

347

Monthly Energy Review - June 2006  

Annual Energy Outlook 2012 (EIA)

Released for Printing: June 27, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

348

Monthly Energy Review - May 2003  

Annual Energy Outlook 2012 (EIA)

Released for Printing: June 10, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

349

Monthly Energy Review - February 2009  

Annual Energy Outlook 2012 (EIA)

2) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are...

350

Monthly Energy Review - April 2006  

Annual Energy Outlook 2012 (EIA)

Released for Printing: May 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

351

Monthly Energy Review - December 2003  

Annual Energy Outlook 2012 (EIA)

for Printing: December 23, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

352

Natural Gas Monthly, December 1996  

Annual Energy Outlook 2012 (EIA)

1996 79 Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

353

Natural Gas Monthly October 1996  

Annual Energy Outlook 2012 (EIA)

1996 77 Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

354

Natural Gas Monthly, June 1996  

Gasoline and Diesel Fuel Update (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

355

Natural Gas Monthly, September 1996  

Annual Energy Outlook 2012 (EIA)

1996 77 Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

356

Natural Gas Monthly, July 1996  

Gasoline and Diesel Fuel Update (EIA)

July 1996 77 Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

357

Natural Gas Monthly, May 1996  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

358

Achronal averaged null energy condition  

Science Conference Proceedings (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent spacetime in semiclassical gravity in which ANEC is violated on a complete, achronal null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out closed timelike curves and wormholes connecting different asymptotically flat regions.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States) and Center for Theoretical Physics, Laboratory for Nuclear Science, and Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2007-09-15T23:59:59.000Z

359

Achronal averaged null energy condition  

E-Print Network (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent space-time in semiclassical gravity in which ANEC is violated on a complete, {\\em achronal} null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out wormholes and closed timelike curves.

Noah Graham; Ken D. Olum

2007-05-22T23:59:59.000Z

360

Petroleum supply monthly, February 1988. [Contains glossary  

Science Conference Proceedings (OSTI)

Total US demand for petroleum products during February 1988 averaged about 17.6 million barrels per day, 0.9 million barrels per day above the average of a year earlier. This marks the third consecutive month in which total product supplied has exceeded 17.0 million barrels per day. For the most part, the disposition of the major products continued to follow seasonal patterns. Total products stocks dropped by 26.0 million barrels to 683.1 million barrels. Refinery utilization fell from January's 82.8 percent rate to 81.1 percent. Crude oil imports from Saudi Arabia rose to 1.2 million barrels per day, 0.4 million barrels per day above the average for January. Unusually mild weather, especially in the Mid-Atlantic states and New England, kept deliveries of both distillate and residual fuel oil virtually unchanged from January's high seasonal levels, although both were still well above the levels for these products the same time last year. Distillate demand averaged 3.5 million barrels per day in February, five percent above the February 1987 average. Residual fuel oil demand was 1.6 million barrels per day this month, nine percent greater than a year ago. Part of this increase in demand from the previous year reflects the improved competitive position of residual fuel oil in some utility and industrial markets, mostly due to increases in natural gas prices starting in the fourth quarter of 1987. 12 figs.

Not Available

1988-04-25T23:59:59.000Z

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


361

BNL | Cloud Lifecycle Infrastructure  

NLE Websites -- All DOE Office Websites (Extended Search)

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

362

Monthly Energy Review - June 2008  

Gasoline and Diesel Fuel Update (EIA)

Monthly Publications: Other monthly EIA reports are Petroleum Supply Monthly Publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum Marketing Monthly, Natural Gas Monthly, Electric Power Monthly, and Inter- national Petroleum Monthly. For more information, contact the National Energy Information Center at 202-586-8800 or InfoCtr@eia.doe.gov. Electronic Access The MER is available on EIA's Web site in a variety of formats at: http://www.eia.doe.gov/mer. Complete MER, and individual MER sections: Portable Document Format (PDF) files. Individual table and graph pages: PDF files. Data files for individual tables: Excel (XLS) files and ASCII comma-delimited (CSV) files. Note: PDF files display selected annual and monthly data. Excel and CSV files display all avail- able annual and monthly data, often at a greater level of precision than the PDF files.

363

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: August 2011 Highlights: August 2011 Extreme heat in Texas, New Mexico, Colorado and Arizona drove significant increases in the retail sales of electricity in the Southwest. Wind generation increased in much of the United States, except the middle of the country where total generation declined. Bituminous coal stocks dropped 14% from August 2010. Key indicators Same Month 2010 Year to date Total Net Generation -1% 11% Residential Retail Price -6% 11% Cooling Degree-Days -3% 2% Natural Gas Price, Henry Hub -6% -9% Bituminous Coal Stocks -14% -14% Subbituminous Coal Stocks -10% -17% Heat wave drives record demand and wholesale prices in Texas A prolonged August heat wave in Texas stressed available generating capacity and produced very high wholesale prices in the Electric

364

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

January 2012 | Release Date: Mar. 27, January 2012 | Release Date: Mar. 27, 2012 | Next Release Date: Apr. 27, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4%

365

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: January 2012 Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4% Residential Retail Price (cents/kWh) 11.43 4.4% Retail Sales (Thousand MWh) 310,859 -6.5% Heating Degree-Days 751 -21.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.75 -40.3% Coal Stocks (Thousand Tons) 181,621 10.2% Coal Consumption (Thousand Tons) 70,595 -21.7% Natural Gas Consumption (Mcf) 676,045 19.9% Nuclear Outages (MW) 9,567 2.1%

366

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

August 2011 | Release Date: October 25, August 2011 | Release Date: October 25, 2011 | Next Release Date: November 21, 2011 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: August 2011 Extreme heat in Texas, New Mexico, Colorado and Arizona drove significant increases in the retail sales of electricity in the Southwest. Wind generation increased in much of the United States, except the middle of the country where total generation declined. Bituminous coal stocks dropped 14% from August 2010. Key indicators Same Month 2010 Year to date Total Net Generation -1% 11% Residential Retail Price -6% 11% Cooling Degree-Days -3% 2%

367

March Natural Gas Monthly  

Gasoline and Diesel Fuel Update (EIA)

'PGTI[+PHQTOCVKQP#FOKPKUVTCVKQP0CVWTCN)CU/QPVJN[/CTEJ 'PGTI[+PHQTOCVKQP#FOKPKUVTCVKQP0CVWTCN)CU/QPVJN[/CTEJ EIA Corrects Errors in Its Drilling Activity Estimates Series William Trapmann and Phil Shambaugh Introduction The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status. They are assessed directly for trends, as well as in combination with other measures to assess the productivity and profitability of upstream industry operations. They are a major reference point for policymakers at both the Federal and State level. Users in the private sector include financial

368

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 15. PAD District 3 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil 6 ............................................................ 3,327 - - - - 4,646 -720 39 -191 7,482 - 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 1,380 -1 304 84 227 - - -113 306 108 1,693 Pentanes Plus .................................................. 155 -1 - - 77 -58 - - 35 106 1 31 Liquefied Petroleum Gases ..............................

369

Petroleum Supply Monthly  

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

2 2 September 2013 Table 16. PAD District 3 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil 6 ............................................................ 4,354 - - - - 3,718 -413 345 75 7,905 24 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 1,615 0 454 39 170 - - 62 282 267 1,666 Pentanes Plus .................................................. 195 0 - - 36 -65 - - 15 113 4 35 Liquefied Petroleum Gases

370

Petroleum Supply Monthly  

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

4 4 September 2013 Table 8. PAD District 1 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 32 - - - - 843 -1 230 8 1,061 35 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 71 0 45 40 77 - - 1 16 10 205 Pentanes Plus .................................................. 12 0 - - 1 0 - - 0 0 2 9 Liquefied Petroleum Gases ..............................

371

Petroleum Supply Monthly  

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

0 0 September 2013 Table 49. Exports of Crude Oil and Petroleum Products by PAD District, September 2013 (Thousand Barrels) Commodity PAD Districts U.S. Total 1 2 3 4 5 Total Daily Average Crude Oil 1 ............................................................ 94 2,282 598 1 - 2,975 99 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 453 2,129 10,579 380 396 13,937 465 Pentanes Plus .................................................. 300 1,599 652 346 92 2,989 100 Liquefied Petroleum Gases .............................. 153 530 9,927 34 304 10,947 365 Ethane/Ethylene ........................................... - - - - - - - Propane/Propylene ....................................... 126 199 9,412 4 299 10,040 335 Normal Butane/Butylene ...............................

372

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: January 2012 Electric Power Sector Coal Stocks: January 2012 Stocks Above normal temperatures in January have allowed electric utilities to significantly replinish stockpiles of coal. The upswing in coal stockpiles corresponds to decreasing consumption of coal at electric generators seen in the resource use section across all regions of the country. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. Along with coal stockpiles at electric power plants, the supply of coal significantly increased in January of 2012. Total bituminous coal days of burn increased 10 percent from January 2011 to 87, while subbituminous supply increased nearly 10

373

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 3. U.S. Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports Adjust- ments 1 Stock Change 2 Refinery and Blender Net Inputs Exports Products Supplied 3 Crude Oil 4 ............................................................ 5,877 - - - - 8,716 83 -218 14,841 53 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 2,351 -20 372 252 - - -417 566 206 2,600 Pentanes Plus .................................................. 296 -20 - - 78 - - 37 172 71 75 Liquefied Petroleum Gases .............................. 2,055 - - 372 174 - - -454 394 135 2,525

374

Petroleum Supply Monthly  

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

September 2013 Table 4. U.S. Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports Adjust- ments 1 Stock Change 2 Refinery and Blender Net Inputs Exports Products Supplied 3 Crude Oil 4 ............................................................ 7,340 - - - - 7,778 239 25 15,229 104 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 2,516 -18 716 175 - - 133 465 434 2,358 Pentanes Plus .................................................. 340 -18 - - 38 - - 20 168 134 38 Liquefied Petroleum Gases .............................. 2,176 - - 716

375

Petroleum Supply Monthly  

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

30 30 September 2013 Table 24. PAD District 5 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 1,101 - - - - 1,091 - 115 -14 2,320 1 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 65 0 67 5 - - - 13 63 14 47 Pentanes Plus .................................................. 29 0 - - - - - - 1 21 4 3 Liquefied Petroleum Gases ..............................

376

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

4 4 December 2011 Table 50. Year-to-Date Exports of Crude Oil and Petroleum Products by PAD District, January-December 2011 (Thousand Barrels) Commodity PAD Districts U.S. Total 1 2 3 4 5 Total Daily Average Crude Oil 1 ............................................................ 2,147 13,574 1,237 191 9 17,158 47 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 3,739 15,542 42,403 2,288 6,081 70,053 192 Pentanes Plus .................................................. 2,075 11,913 179 1,415 340 15,922 44 Liquefied Petroleum Gases .............................. 1,664 3,628 42,224 873 5,741 54,131 148 Ethane/Ethylene ........................................... - - - - - - - Propane/Propylene ....................................... 401 514 40,084 58 4,187 45,243

377

Lidar Observation of the Cirrus Cloud in the Tropopause at Chung-Li (25N, 121E)  

Science Conference Proceedings (OSTI)

The authors have detected a cirrus cloud near the tropopause by using a lidar system located at Chung-Li, Taiwan (25N, 121E). The cloud usually appeared between the month of May and September. In 199395, the cloud was observed almost 50% of ...

J. B. Nee; C. N. Len; W. N. Chen; C. I. Lin

1998-06-01T23:59:59.000Z

378

BNL | Cloud Lifecycle Research  

NLE Websites -- All DOE Office Websites (Extended Search)

to be one of the major sources of uncertainty in numerical simulations of climate and weather. Improvement of the representation of clouds in numerical models requires fundamental...

379

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

January 2011 January 2011 Section 1. Commentary Electric Power Data The contiguous United States as a whole experienced temperatures that were below normal in January 2011. Accordingly, the total population-weighted heating degree days for the United States were 4.3 percent above the January normal. Retail sales of electricity increased 1.8 percent from January 2010. Over the same period, the average U.S. retail price of electricity increased 2.9 percent. For the 12-month period ending January 2011, the average U.S. retail price of electricity increased 1.1 percent over the previous 12-month period ending January 2010. In January 2011, total electric power generation in the United States increased 0.5 percent compared to January 2010 (the change in electric power generation does not necessarily coincide with the change in retail sales of electricity

380

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

March 2011 March 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were slightly above normal in March 2011. Accordingly, the total population-weighted heating degree days for the United States were 1.2 percent below the March normal. Retail sales of electricity decreased 0.2 percent from March 2010. Over the same period, the average U.S. retail price of electricity increased 1.1 percent. For the 12-month period ending March 2011, the average U.S. retail price of electricity increased 1.6 percent over the previous 12-month period ending March 2010. In March 2011, total electric power generation in the United States increased 1.2 percent compared to March 2010 (the change in electric power generation does not necessarily coincide with the change in retail sales of

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


381

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

November 2010 November 2010 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were near normal in November 2010. Accordingly, the total population-weighted heating degree days for the United States were 3.0 percent below the November normal. In November 2010, retail sales of electricity increased 2.0 percent from November 2009. Over the same period, the average U.S. retail price of electricity increased 2.8 percent. For the 12-month period ending November 2010, the average U.S. retail price of electricity increased 0.3 percent over the previous 12-month period ending November 2009. Total electric power generation in the United States increased 3.6 percent compared to November 2009. Over the same period, coal generation remained relatively unchanged, while natural gas generation increased 8.8 percent and

382

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

NLE Websites -- All DOE Office Websites (Extended Search)

National Laboratory Upton, New York Introduction Most studies of the effect of aerosols on cloud radiative properties have considered only changes in the cloud droplet...

383

Cloud Classification Before Luke Howard  

Science Conference Proceedings (OSTI)

A brief outline of the history of cloud painting prior to the first cloud classification schemes of Luke Howard and Lamarck is presented. It is shown that European painters had accurately represented most of the different cloud forms between ...

Stanely David Gedzelman

1989-04-01T23:59:59.000Z

384

Radar Reflectivity of Cumulus Clouds  

Science Conference Proceedings (OSTI)

The relationships between the radar reflectivity factor Z and significant physical cloud parameters are studied from a dataset collected with an instrumented aircraft in non- or very weakly precipitating warm clouds. The cloud droplet populations ...

Henri Sauvageot; Jilani Omar

1987-06-01T23:59:59.000Z

385

Spatially averaged heat flux and convergence measurements at the ARM regional flux experiment  

SciTech Connect

Cloud formation and its relation to climate change is the greatest weakness in current numerical climate models. Surface heat flux in some cases causes clouds to form and in other to dissipate and the differences between these cases are subtle enough to make parameterization difficult in a numerical model. One of the goals of the DOE Atmospheric Radiation Measurement program is to make long term measurements at representative sites to improve radiation and cloud formation parameterization. This paper compares spatially averaged optical measurements of heat flux and convergence with a goal of determining how point measurements of heat fluxes scale up to the larger scale used for climate modeling. It was found that the various optical techniques used in this paper compared well with each other and with independent measurements. These results add confidence that spatially averaging optical techniques can be applied to transform point measurements to the larger scales needed for mesoscale and climate modeling. 10 refs., 6 figs. (MHB)

Porch, W.; Barnes, F.; Buchwald, M.; Clements, W.; Cooper, D.; Hoard, D. (Los Alamos National Lab., NM (United States)); Doran, C.; Hubbe, J.; Shaw, W. (Pacific Northwest Lab., Richland, WA (United States)); Coulter, R.; Martin, T. (Argonne National Lab., IL (United States)); Kunkel, K. (Illinois State Water Survey, Champaign, IL (United States))

1991-01-01T23:59:59.000Z

386

Heat, Moisture, and Momentum Budgets of Isolated Deep Midlatitude and Tropical Convective Clouds as Diagnosed from Three-Dimensional Model Output. Part I: Control Experiments  

Science Conference Proceedings (OSTI)

This project uses a three-dimensional anelastic cloud model with a simple ice phase parameterization to evaluate the feedback between isolated deep convective clouds and their near surroundings. The horizontal Reynolds averaging approach of ...

Robert E. Schlesinger

1994-12-01T23:59:59.000Z

387

Geographic Area Month  

Gasoline and Diesel Fuel Update (EIA)

58.5 58.5 57.1 54.8 49.4 50.9 45.9 February ............................. 57.7 56.4 53.3 48.1 48.7 43.6 March .................................. 55.9 54.3 51.1 45.6 46.0 40.1 April .................................... 56.2 57.9 52.1 47.4 43.8 41.7 May ..................................... NA 56.4 51.2 46.1 43.6 40.3 June .................................... NA 52.1 48.0 42.8 40.8 36.5 July ..................................... NA 50.1 47.2 41.9 38.4 37.5 August ................................ NA 51.3 45.8 40.5 36.2 36.0 September .......................... NA 53.3 49.2 44.9 39.9 36.1 October ............................... 57.8 53.7 49.7 44.6 43.1 35.3 November ........................... 56.2 49.5 47.0 40.9 43.3 36.8 December ........................... 50.1 43.5 42.0 35.2 39.4 30.2 1998 Average

388

Cloud Computing Forum & Workshop IV  

Science Conference Proceedings (OSTI)

Cloud Computing Forum & Workshop IV. ... NIST announces the Cloud Computing Forum & Workshop IV to be held on November 2, 3 and 4, 2011. ...

2013-08-07T23:59:59.000Z

389

BNL | Aerosol, Cloud, Precipitation Interactions  

NLE Websites -- All DOE Office Websites (Extended Search)

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

390

Cirrus Cloud Properties from a Cloud-Resolving Model Simulation Compared to Cloud Radar Observations  

Science Conference Proceedings (OSTI)

Cloud radar data collected at the Atmospheric Radiation Measurement (ARM) Program's Southern Great Plains site were used to evaluate the properties of cirrus clouds that occurred in a cloud-resolving model (CRM) simulation of the 29-day summer ...

Yali Luo; Steven K. Krueger; Gerald G. Mace; Kuan-Man Xu

2003-02-01T23:59:59.000Z

391

CONTRIBUTED Green Cloud Computing  

E-Print Network (OSTI)

widely dis- cussed, the shift in energy usage in a cloud computing model has received little attention cloud computing services typically operate. We consider energy consumption models of the transport of energy per bit also allows the results to be easily scaled to any usage level. We consider both public

Tucker, Rod

392

Cryptographic cloud storage  

Science Conference Proceedings (OSTI)

We consider the problem of building a secure cloud storage service on top of a public cloud infrastructure where the service provider is not completely trusted by the customer. We describe, at a high level, several architectures that combine recent and ...

Seny Kamara; Kristin Lauter

2010-01-01T23:59:59.000Z

393

Spectral and Parametric Averaging for Integrable Systems  

E-Print Network (OSTI)

We analyze two theoretical approaches to ensemble averaging for integrable systems in quantum chaos - spectral averaging and parametric averaging. For spectral averaging, we introduce a new procedure - rescaled spectral averaging. Unlike traditional spectral averaging, it can describe the correlation function of spectral staircase and produce persistent oscillations of the interval level number variance. Parametric averaging, while not as accurate as rescaled spectral averaging for the correlation function of spectral staircase and interval level number variance, can also produce persistent oscillations of the global level number variance and better describes saturation level rigidity as a function of the running energy. Overall, it is the most reliable method for a wide range of statistics.

Tao Ma; R. A. Serota

2013-06-03T23:59:59.000Z

394

Autoregressive forecast of monthly total ozone concentration: A neurocomputing approach  

Science Conference Proceedings (OSTI)

The present study endeavors to generate autoregressive neural network (AR-NN) models to forecast the monthly total ozone concentration over Kolkata (22^o34', 88^o22'), India. The issues associated with the applicability of neural network to geophysical ... Keywords: Autoregressive moving average, Autoregressive neural network, Monthly total ozone, Predictive model

Goutami Chattopadhyay; Surajit Chattopadhyay

2009-09-01T23:59:59.000Z

395

ARM - Measurement - Cloud extinction  

NLE Websites -- All DOE Office Websites (Extended Search)

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

396

Small Cloud Particle Shapes in Mixed-Phase Clouds  

Science Conference Proceedings (OSTI)

The shapes of cloud particles with maximum dimensions Dmax between 35 and 60 ?m in mixed-phase clouds were studied using high-resolution particle images collected by a cloud particle imager (CPI) during the Mixed-Phase Arctic Cloud Experiment (M-...

Greg M. McFarquhar; Junshik Um; Robert Jackson

2013-05-01T23:59:59.000Z

397

Monthly Energy Review - January 2007  

Gasoline and Diesel Fuel Update (EIA)

publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum Marketing Monthly, Natural Gas Monthly, Electric Power Monthly, and International Petroleum Monthly. Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949. For more information, contact the National Energy Information Center at 202-586-8800 or InfoCtr@eia.doe.gov. Electronic Access The MER is available on EIA's Web site in a variety of formats at: http://www.eia.doe.gov/mer. Complete MER, and individual MER sections: Portable Document Format (PDF) files. Individual table and graph pages: PDF files. Data files for individual tables: Excel (XLS) files and ASCII comma-delimited (CSV) files.

398

A New Parameterization for Shallow Cumulus Convection and Its Application to Marine Subtropical Cloud-Topped Boundary Layers. Part II: Regional Simulations of Marine Boundary Layer Clouds  

Science Conference Proceedings (OSTI)

The impact of physical parameterizations on simulations of cloud-topped marine boundary layers is investigated using the fifth-generation Pennsylvania State UniversityNCAR Mesoscale Model (MM5). Three-month MM5 simulations of the northeast and ...

James R. McCaa; Christopher S. Bretherton

2004-04-01T23:59:59.000Z

399

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

SciTech Connect

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

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

2011-11-04T23:59:59.000Z

400

Monthly energy review, August 1997  

SciTech Connect

The Monthly Energy Review for the month of August 1997, presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

NONE

1997-08-01T23:59:59.000Z

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


401

Historical Sunshine and Cloud Data in the United States (revised 1991)  

NLE Websites -- All DOE Office Websites (Extended Search)

Historical Sunshine and Cloud Data in the United States (revised 1991) Historical Sunshine and Cloud Data in the United States (revised 1991) (NDP-021) DOI: 10.3334/CDIAC/cli.ndp021 data Data Investigators P. M. Steurer and T. R. Karl This data base presents monthly sunshine data from 240 U.S. stations (including Puerto Rico and nine Pacific Islands) and monthly cloud amount data from 197 U.S. stations. The longest periods of record are 1891 through 1987 for the sunshine data and 1871 through 1987 for the cloud data. The sunshine data were derived from measurements taken by a variety of sunshine-recording instruments. The cloud data were derived from land-based estimates of fractional cloud amount, which were made with observation practices that have varied during the period of record. Station number, station name, latitude, and longitude are given for all stations in each

402

Cloud Computing Forensic Science Workshop  

Science Conference Proceedings (OSTI)

Cloud Computing Forensic Science Workshop. Purpose: The New Frontiers in IT and Measurement Science Rapid advances ...

2013-09-05T23:59:59.000Z

403

A marketplace for cloud resources  

Science Conference Proceedings (OSTI)

Cloud computing is an emerging paradigm aimed to offer users pay-per-use computing resources, while leaving the burden of managing the computing infrastructure to the cloud provider. We present a new programming and pricing model that gives the cloud ... Keywords: cloud computing, iaas, large-scale scheduling, pricing models, worst-case execution time

Thomas A. Henzinger; Anmol V. Singh; Vasu Singh; Thomas Wies; Damien Zufferey

2010-10-01T23:59:59.000Z

404

Electric Power Monthly - Monthly Data Tables | OpenEI  

Open Energy Info (EERE)

Power Monthly - Monthly Data Tables Power Monthly - Monthly Data Tables Dataset Summary Description Monthly electricity generation figures (and the fuel consumed to produce it). Source information available at EIA. Source EIA Date Released July 20th, 2010 (4 years ago) Date Updated July 20th, 2010 (4 years ago) Keywords consumption EIA Electricity Electricity Consumption Electricity Generation Data application/vnd.ms-excel icon generation_state_mon.xls (xls, 32.5 MiB) application/vnd.ms-excel icon consumption_state_mon.xls (xls, 14.7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Monthly Time Period License License Other or unspecified, see optional comment below Comment Work of the U.S. Federal Government Rate this dataset Usefulness of the metadata

405

Nowcasting Convective Storm Initiation Using Satellite-Based Box-Averaged Cloud-Top Cooling and Cloud-Type Trends  

Science Conference Proceedings (OSTI)

Short-term (01 h) convective storm nowcasting remains a problem for operational weather forecasting, and convective storms pose a significant monetary sink for the aviation industry. Numerical weather prediction models, traditional ...

Justin M. Sieglaff; Lee M. Cronce; Wayne F. Feltz; Kristopher M. Bedka; Michael J. Pavolonis; Andrew K. Heidinger

2011-01-01T23:59:59.000Z

406

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

NLE Websites -- All DOE Office Websites (Extended Search)

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

407

CDIAC Cloud Data Sets  

NLE Websites -- All DOE Office Websites (Extended Search)

Period of Record A Gridded Climatology of Clouds over Land (1971-1996) and Ocean (1954-2008) from Surface Observations Worldwide (CDIAC NDP-026E) C.J. Hahn and S.G. Warren...

408

3. New Cloud Climatology  

NLE Websites -- All DOE Office Websites (Extended Search)

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

409

ISCCP Cloud Data Products  

Science Conference Proceedings (OSTI)

The operational data collection phase of the International Satellite Cloud Climatology Project (ISCCP) began in July 1983. Since then, visible and infrared images from an international network of weather satellites have been routinely processed ...

William B. Rossow; Robert A. Schiffer

1991-01-01T23:59:59.000Z

410

Cloud Transmissivities for Canada  

Science Conference Proceedings (OSTI)

Transmissivities are determined for different cloud types using nine years of hourly irradiance measurements under overcast skies at six Canadian stations. Values for individual stations and for pooled data using irradiances uncorrected for ...

J. A. Davies; M. Abdel-Wahab; J. E. Howard

1985-03-01T23:59:59.000Z

411

Marine Cloud Brightening  

Science Conference Proceedings (OSTI)

The idea behind the marine cloud-brightening (MCB) geoengineering technique is that seeding marine stratocumulus clouds with copious quantities of roughly monodisperse sub-micrometre sea water particles might significantly enhance the cloud droplet number concentration, and thereby the cloud albedo and possibly longevity. This would produce a cooling, which general circulation model (GCM) computations suggest could - subject to satisfactory resolution of technical and scientific problems identified herein - have the capacity to balance global warming up to the carbon dioxide-doubling point. We describe herein an account of our recent research on a number of critical issues associated with MCB. This involves (i) GCM studies, which are our primary tools for evaluating globally the effectiveness of MCB, and assessing its climate impacts on rainfall amounts and distribution, and also polar sea-ice cover and thickness; (ii) high-resolution modelling of the effects of seeding on marine stratocumulus, which are required to understand the complex array of interacting processes involved in cloud brightening; (iii) microphysical modelling sensitivity studies, examining the influence of seeding amount, seedparticle salt-mass, air-mass characteristics, updraught speed and other parameters on cloud-albedo change; (iv) sea water spray-production techniques; (v) computational fluid dynamics studies of possible large-scale periodicities in Flettner rotors; and (vi) the planning of a three-stage limited-area field research experiment, with the primary objectives of technology testing and determining to what extent, if any, cloud albedo might be enhanced by seeding marine stratocumulus clouds on a spatial scale of around 100 km. We stress that there would be no justification for deployment of MCB unless it was clearly established that no significant adverse consequences would result. There would also need to be an international agreement firmly in favour of such action.

Latham, John; Bower, Keith; Choularton, Tom; Coe, H.; Connolly, P.; Cooper, Gary; Craft, Tim; Foster, Jack; Gadian, Alan; Galbraith, Lee; Iacovides, Hector; Johnston, David; Launder, Brian; Leslie, Brian; Meyer, John; Neukermans, Armand; Ormond, Bob; Parkes, Ben; Rasch, Philip J.; Rush, John; Salter, Stephen; Stevenson, Tom; Wang, Hailong; Wang, Qin; Wood, Robert

2012-09-07T23:59:59.000Z

412

FORMATION OF MASSIVE MOLECULAR CLOUD CORES BY CLOUD-CLOUD COLLISION  

SciTech Connect

Recent observations of molecular clouds around rich massive star clusters including NGC 3603, Westerlund 2, and M20 revealed that the formation of massive stars could be triggered by a cloud-cloud collision. By using three-dimensional, isothermal, magnetohydrodynamics simulations with the effect of self-gravity, we demonstrate that massive, gravitationally unstable, molecular cloud cores are formed behind the strong shock waves induced by cloud-cloud collision. We find that the massive molecular cloud cores have large effective Jeans mass owing to the enhancement of the magnetic field strength by shock compression and turbulence in the compressed layer. Our results predict that massive molecular cloud cores formed by the cloud-cloud collision are filamentary and threaded by magnetic fields perpendicular to the filament.

Inoue, Tsuyoshi [Department of Physics and Mathematics, Aoyama Gakuin University, Sagamihara, Kanagawa 252-5258 (Japan); Fukui, Yasuo, E-mail: inouety@phys.aoyama.ac.jp [Department of Physics, Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602 (Japan)

2013-09-10T23:59:59.000Z

413

Solar: monthly global horizontal (GHI) GIS data at 10km resolution...  

Open Energy Info (EERE)

Central America from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Central America
<...

414

Solar: monthly direct normal (DNI) GIS data at 10km resolution...  

Open Energy Info (EERE)

visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam...

415

Monthly Energy Review - December 2009  

Gasoline and Diesel Fuel Update (EIA)

Formats Formats (PDF) files; however, all annual data are shown in the Excel and comma-separated values (CSV) files. Also, only two to three years of monthly data are displayed in the PDF files; however, for many series, monthly data beginning with January 1973 are available in the Excel and CSV files. Comprehensive Changes: Each month, most MER tables and figures carry a new month of data, which is usually preliminary (and sometimes estimated or even forecast) and likely to be revised in the succeeding month. Annual Data From 1949: The emphasis of the MER is on recent monthly and annual data trends. Analysts may wish to use the data in this report in conjunction with EIA's Annual Energy Review (AER) that offers annual data beginning in 1949 for many of the data series found in the

416

Prompt-Month Energy Futures  

Gasoline and Diesel Fuel Update (EIA)

Prompt-Month Energy Futures Prompt-Month Energy Futures Prices and trading activity shown are for prompt-month (see definition below) futures contracts for the energy commodities listed in the table below. Note that trading for prompt-month futures contracts ends on different dates at the end of the month for the various commodities; therefore, some commodity prices may reference delivery for the next month sooner than other commodity prices. Product Description Listed With Crude Oil ($/barrel) West Texas Intermediate (WTI) light sweet crude oil delivered to Cushing, Oklahoma More details | Contract specifications New York Mercantile Exchange (Nymex) Gasoline-RBOB ($/gallon) Reformulated gasoline blendstock for oxygenate blending (RBOB) gasoline delivered to New York Harbor More details | Contract specifications Nymex

417

Electric Power Monthly - Energy Information Administration  

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

Electric Power Monthly Electric Power Monthly Data for October 2013 | Release Date: December 20, 2013 | Next Release: January 22, 2014 | full report Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 October 2012 September 2012 August 2012 July 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012(Nov) January 2012(Oct) December 2011 November 2011 October 2011 September 2011 August 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 issues prior to 2011 Format: pdf zip Go New Addition: Use EIA's new interactive Electricity Data Browser to find generation, fuel consumption, sales, revenue and average price time series,

418

Residual Fuel Oil Prices, Average - Sales to End Users  

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

Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product/Sales Type Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. - - - - - - 1983-2013 East Coast (PADD 1) - - - - - - 1983-2013 New England (PADD 1A) - - - - - - 1983-2013 Connecticut - - - - - - 1983-2013 Maine - - - - - - 1983-2013 Massachusetts - - - - - - 1983-2013

419

INVERSIONS FOR AVERAGE SUPERGRANULAR FLOWS USING FINITE-FREQUENCY KERNELS  

Science Conference Proceedings (OSTI)

I analyze the maps recording the travel-time shifts caused by averaged plasma anomalies under an 'average supergranule', constructed by means of statistical averaging over 5582 individual supergranules with large divergence signals detected in two months of Helioseismic and Magnetic Imager Dopplergrams. By utilizing a three-dimensional validated time-distance inversion code, I measure a peak vertical velocity of 117 {+-} 2 m s{sup -1} at depths around 1.2 Mm in the center of the supergranule and a root-mean-square vertical velocity of 21 m s{sup -1} over the area of the supergranule. A discrepancy between this measurement and the measured surface vertical velocity (a few m s{sup -1}) can be explained by the existence of the large-amplitude vertical flow under the surface of supergranules with large divergence signals, recently suggested by Duvall and Hanasoge.

Svanda, Michal, E-mail: michal@astronomie.cz [Astronomical Institute, Academy of Sciences of the Czech Republic (v.v.i.), Fricova 298, CZ-25165 Ondrejov (Czech Republic)

2012-11-10T23:59:59.000Z

420

Monthly energy review, January 1998  

SciTech Connect

This report presents an overview of recent monthly energy statistics. Major activities covered include production, consumption, trade, stocks, and prices for fossil fuels, electricity, and nuclear energy.

NONE

1998-01-01T23:59:59.000Z

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


421

Monthly energy review. May 1998  

SciTech Connect

This report presents recent energy monthly statistics on the production, consumption, trade, stocks, and prices of petroleum, natural gas, coal, electricity, and nuclear energy.

NONE

1998-05-01T23:59:59.000Z

422

Electric Power Monthly January 2012  

U.S. Energy Information Administration (EIA)

Electric Power Monthly January 2012 With Data for November 2011 ... Electric Utility Power Generation Station (PGS) 2 CA 57696 1 3.8 OBG GT

423

Natural gas monthly, July 1997  

Science Conference Proceedings (OSTI)

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is entitled ``Intricate puzzle of oil and gas reserves growth.`` A special report is included on revisions to monthly natural gas data. 6 figs., 24 tabs.

NONE

1997-07-01T23:59:59.000Z

424

Natural gas monthly, May 1994  

Science Conference Proceedings (OSTI)

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The featured articles for this month are: Opportunities with fuel cells, and revisions to monthly natural gas data.

Not Available

1994-05-25T23:59:59.000Z

425

Natural gas monthly, August 1995  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. This month`s feature article is on US Natural Gas Imports and Exports 1994.

NONE

1995-08-24T23:59:59.000Z

426

Monthly Energy Review - November 1999  

Annual Energy Outlook 2012 (EIA)

November 23, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1),...

427

Monthly Energy Review - March 2000  

Annual Energy Outlook 2012 (EIA)

March 28, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

428

Electric Power Monthly March 2011  

U.S. Energy Information Administration (EIA)

order to provide an integrated view of the electric power ... EIA, Department of Energy prepares the EPM. This publication provides monthly statistics at the State

429

Electricity Monthly Update - Energy Information Administration  

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

all Electricity Reports all Electricity Reports Electricity Monthly Update With Data for October 2013 | Release Date: Dec. 20, 2013 | Next Release Date: Jan. 22, 2014 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: October 2013 Thirty-one states saw the average cost of electricity increase by more than two percent, with fourteen states experiencing increases of at least five percent compared to a year ago. Texas (ERCOT) and the Midwest (MISO) experienced above average wholesale electricity prices for October due to unseasonable temperatures. The New York City (Transco Zone 6 NY) natural gas price was

430

Electric power monthly, January 1991. [Contains glossary  

SciTech Connect

This publication provides monthly statistics at the national, Census division, and state levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 48 tabs.

1991-01-17T23:59:59.000Z

431

Electric Power Monthly, September 1991. [CONTAINS GLOSSARY  

SciTech Connect

This publication provides monthly statistics at the national, Census division, and state levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, statistics at the company and plant level are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 63 tabs.

1991-09-12T23:59:59.000Z

432

Electric power monthly, October 1991. [CONTAINS GLOSSARY  

SciTech Connect

This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, statistics at the company and plant level are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 63 tabs.

1991-10-11T23:59:59.000Z

433

Electric power monthly, November 1991. [Contains glossary  

SciTech Connect

This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, statistics at the company and plant level are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 63 tabs.

1991-11-18T23:59:59.000Z

434

Reproducibility by Climate Models of Cloud Radiative Forcing Associated with Tropical Convection  

Science Conference Proceedings (OSTI)

In this study, cloud radiative forcing (CRF) associated with convective activity over tropical oceans is analyzed for monthly mean data from twentieth-century simulations of 18 climate models participating in phase 3 of the Coupled Model ...

Hiroki Ichikawa; Hirohiko Masunaga; Yoko Tsushima; Hiroshi Kanzawa

2012-02-01T23:59:59.000Z

435

Tests for Persistent Effects of Cloud Seeding in a Recent Australian Experiment  

Science Conference Proceedings (OSTI)

An analysis of cloud seeding experiments in Australia prior to 1984 that used silver iodide dispensed from aircraft as the seeding agent suggested that there were systematic aftereffects of seeding at least one month after a given seeded day, as ...

E. K. Bigg

1995-11-01T23:59:59.000Z

436

Comparison of the Climatologies of High-Level Clouds from HIRS and ISCCP  

Science Conference Proceedings (OSTI)

Comparison of individually matched analyses of high-level cloudiness from the High-Resolution Infrared Sounder (HIRS) CO2-slicing analysis and the International Satellite Cloud Climatology Project (ISCCP) analysis of satellite data for 4 months ...

Yao Jin; William B. Rossow; Don P. Wylie

1996-11-01T23:59:59.000Z

437

Investigation of the Variability of Cloud Condensation Nuclei Concentrations at the Surface in Western North Dakota  

Science Conference Proceedings (OSTI)

Daily observations of cloud condensation nuclei (CCN) were made for three summer months in 2005 at a site in rural western North Dakota. The goal was to define the natural background CCN population characteristics and to lay the groundwork for ...

Andrew Detwiler; Darin Langerud; Tracy Depue

2010-01-01T23:59:59.000Z

438

Global, Seasonal Cloud Variations from Satellite Radiance Measurements. Part I: Sensitivity of Analysis  

Science Conference Proceedings (OSTI)

Global, daily, visible and infrared radiance measurements from the NOAA-5 Scanning Radiometer (SR) are analyzed for the months of January, April, July and October 1977 to infer cloud and surface radiative properties. In this first paper in a ...

William B. Rossow; Leonid C. Garder; Andrew A. Lacis

1989-05-01T23:59:59.000Z

439

Spatial Variability of Liquid Water Path in Marine Low Cloud: The Importance of Mesoscale Cellular Convection  

Science Conference Proceedings (OSTI)

Liquid water path (LWP) mesoscale spatial variability in marine low cloud over the eastern subtropical oceans is examined using two months of daytime retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Terra ...

Robert Wood; Dennis L. Hartmann

2006-05-01T23:59:59.000Z

440

A 10-Year Climatology of Northern Hemisphere Tropical Cloud Plumes and Their Composite Flow Patterns  

Science Conference Proceedings (OSTI)

A 10-year cool season climatology of tropical cloud plumes in the Northern Hemisphere was generated by visual inspection of infrared satellite imagery. The sample included 1062 plume events during the months of October to May for the years 1974 ...

Haig Iskenderian

1995-06-01T23:59:59.000Z

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


441

SUPERGIANT SHELLS AND MOLECULAR CLOUD FORMATION IN THE LARGE MAGELLANIC CLOUD  

Science Conference Proceedings (OSTI)

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.

Dawson, J. R.; Dickey, John M. [School of Mathematics and Physics, University of Tasmania, Sandy Bay Campus, Churchill Avenue, Sandy Bay, TAS 7005 (Australia)] [School of Mathematics and Physics, University of Tasmania, Sandy Bay Campus, Churchill Avenue, Sandy Bay, TAS 7005 (Australia); McClure-Griffiths, N. M. [Australia Telescope National Facility, CSIRO Astronomy and Space Science, Marsfield NSW 2122 (Australia)] [Australia Telescope National Facility, CSIRO Astronomy and Space Science, Marsfield NSW 2122 (Australia); Wong, T. [Astronomy Department, University of Illinois, Urbana, IL 61801 (United States)] [Astronomy Department, University of Illinois, Urbana, IL 61801 (United States); Hughes, A. [Max-Planck-Institut fuer Astronomie, Koenigstuhl 17, D-69117, Heidelberg (Germany)] [Max-Planck-Institut fuer Astronomie, Koenigstuhl 17, D-69117, Heidelberg (Germany); Fukui, Y. [Department of Physics and Astrophysics, Nagoya University, Chikusa-ku, Nagoya (Japan)] [Department of Physics and Astrophysics, Nagoya University, Chikusa-ku, Nagoya (Japan); Kawamura, A., E-mail: joanne.dawson@utas.edu.au [National Astronomical Observatory of Japan, Tokyo 181-8588 (Japan)

2013-01-20T23:59:59.000Z

442

Solar: annual average global horizontal (GHI) GIS data at 10km...  

Open Energy Info (EERE)

at 10km resolution for Cuba from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba

(Purpose):<...

443

Monthly energy review, November 1996  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 75 tabs.

1996-11-01T23:59:59.000Z

444

Monthly energy review, May 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

NONE

1999-05-01T23:59:59.000Z

445

Monthly energy review, November 1997  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 91 tabs.

NONE

1997-11-01T23:59:59.000Z

446

Monthly energy review, July 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs. 73 tabs.

NONE

1998-07-01T23:59:59.000Z

447

Monthly energy review: April 1996  

Science Conference Proceedings (OSTI)

This monthly report presents an overview of energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. A section is also included on international energy. The feature paper which is included each month is entitled ``Energy equipment choices: Fuel costs and other determinants.`` 37 figs., 59 tabs.

NONE

1996-04-01T23:59:59.000Z

448

Monthly Energy Review - December 2013  

Annual Energy Outlook 2012 (EIA)

e r 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

449

Monthly Energy Review - October 2013  

Annual Energy Outlook 2012 (EIA)

e r 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

450

Monthly Energy Review - February 2002  

Annual Energy Outlook 2012 (EIA)

2 E n e r g y P l u g : G r e e n h o u s e G a s e s 2 0 0 0 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's...

451

Monthly Energy Review - May 2012  

Annual Energy Outlook 2012 (EIA)

Ma y 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

452

Monthly Energy Review - November 2012  

Annual Energy Outlook 2012 (EIA)

e r 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

453

Monthly Energy Review - December 2001  

Annual Energy Outlook 2012 (EIA)

i o n R e s o u r c e s M i d - T e r m N a t u r a l G a s P r o s p e c t s Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

454

Monthly Energy Review - August 2013  

Annual Energy Outlook 2012 (EIA)

s t 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

455

Monthly Energy Review - September 2002  

Annual Energy Outlook 2012 (EIA)

2 E n e r g y P l u g : D i e s e l F u e l P r i c e P a s s - t h r o u g h Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

456

Monthly Energy Review - December 2010  

Annual Energy Outlook 2012 (EIA)

D e c e mb e r 2 0 1 0 D O E E I A - 0 0 3 5 ( 2 0 1 0 1 2 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary...

457

Monthly Energy Review - January 2013  

Annual Energy Outlook 2012 (EIA)

r y 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

458

Monthly Energy Review - February 2013  

Annual Energy Outlook 2012 (EIA)

r y 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

459

Monthly energy review, June 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 36 figs., 61 tabs.

NONE

1998-06-01T23:59:59.000Z

460

Monthly Energy Review, February 1996  

Science Conference Proceedings (OSTI)

This monthly publication presents an overview of EIA`s recent monthly energy statistics, covering the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief descriptions (`energy plugs`) on two EIA publications are presented at the start.

NONE

1996-02-26T23:59:59.000Z

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


461

Monthly energy review, October 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

NONE

1998-10-01T23:59:59.000Z

462

Monthly energy review, February 1999  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 73 tabs.

NONE

1999-02-01T23:59:59.000Z

463

Monthly energy review, March 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 74 tabs.

NONE

1999-03-01T23:59:59.000Z

464

Monthly Energy Review - December 2012  

Gasoline and Diesel Fuel Update (EIA)

EIA's Office of Communications via email EIA's Office of Communications via email at infoctr@eia.gov. Important Notes About the Data Data Displayed: For tables beginning in 1973, some annual data (usually 1974, 1976-1979, 1981-1984, 1986-1989, and 1991-1994) are not shown in the tables in Portable Document Format (PDF) files; however, all annual data are shown in the Excel and comma-separated values (CSV) files. Also, only two to three years of monthly data are displayed in the PDF files; however, for many series, monthly data beginning with January 1973 are available in the Excel and CSV files. Comprehensive Changes: Each month, most MER tables and figures carry a new month of data, which is usually preliminary (and sometimes estimated or even forecast) and likely to be revised in the succeeding month.

465

Cirrus Clouds. Part I: A Cirrus Cloud Model  

Science Conference Proceedings (OSTI)

A two-dimensional (x, z), time-dependent, numerical cloud model is developed for the purpose of investigating the role of various physical processes involved in the maintenance of cirriform clouds. In addition to accounting for dynamic and ...

David O'C. Starr; Stephen K. Cox

1985-12-01T23:59:59.000Z

466

On the Use of Cloud Forcing to Estimate Cloud Feedback  

Science Conference Proceedings (OSTI)

Uncertainty in cloud feedback is the leading cause of discrepancy in model predictions of climate change. The use of observed or model-simulated radiative fluxes to diagnose the effect of clouds on climate sensitivity requires an accurate ...

Brian J. Soden; Anthony J. Broccoli; Richard S. Hemler

2004-10-01T23:59:59.000Z

467

Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, December  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

River, LLC, Monthly Model Evaluation Study Report, River, LLC, Monthly Model Evaluation Study Report, December 2006 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, December 2006 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, (Mirant) is operating per the terms and conditions of the Administrative Compliance Order (ACO) dated June 1, 2006. Under the terms of ACO, Mirant is to deliver a monthly report to include: (1) the modeled input files and results of the daily Predictive Modeling for the preceding month, including the hourly average heat input in the MMBtu for each unit and the exit velocity (or exhaust volume) for each unit; (2) verification that the planned Operating Parameters utilized for Predictive Modeling in the preceding month were not exceeded, or if exceeded, documentation

468

Solar: annual average direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

GIS data at 10km resolution for GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

469

Average Residential Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated electric ... Gas volumes delivered for vehicle fuel are included in the State monthly totals from January 2011 ...

470

Comparisons of CCN with Supercooled Clouds  

Science Conference Proceedings (OSTI)

More than 140 supercooled clouds were compared with corresponding out-of-cloud cloud condensation nuclei (CCN) measurements. In spite of significant differences in altitude, temperature, distances from cloud base, updraft velocity (W), ...

James G. Hudson; Stephen Noble; Vandana Jha

2010-09-01T23:59:59.000Z

471

Effects of CCN Concentrations on Stratus Clouds  

Science Conference Proceedings (OSTI)

Comparisons between cloud-base CCN concentrations and cloud droplet concentrations in stratus clouds over San Diego and 100 km out to sea showed a positive correlation. The supersaturation in these clouds, as derived from the matching of the CCN ...

James G. Hudson

1983-02-01T23:59:59.000Z

472

MAGIC: Marine ARM GPCI Investigation of Clouds  

SciTech Connect

The second Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF2) will be deployed aboard the Horizon Lines cargo container ship merchant vessel (M/V) Spirit for MAGIC, the Marine ARM GPCI1 Investigation of Clouds. The Spirit will traverse the route between Los Angeles, California, and Honolulu, Hawaii, from October 2012 through September 2013 (except for a few months in the middle of this time period when the ship will be in dry dock). During this field campaign, AMF2 will observe and characterize the properties of clouds and precipitation, aerosols, and atmospheric radiation; standard meteorological and oceanographic variables; and atmospheric structure. There will also be two intensive observational periods (IOPs), one in January 2013 and one in July 2013, during which more detailed measurements of the atmospheric structure will be made.

Lewis, ER; Wiscombe, WJ; Albrecht, BA; Bland, GL; Flagg, CN; Klein, SA; Kollias, P; Mace, G; Reynolds, RM; Schwartz, SE; Siebesma, AP; Teixeira, J; Wood, R; Zhang, M

2012-10-03T23:59:59.000Z

473

Growth Of Cloud Drops by Condensation: A Criticism of Currently Accepted Theory and a New Approach  

Science Conference Proceedings (OSTI)

The currently accepted theory of the growth of cloud drops by condensation employs an equation for the rate of increase of drop mass and an equation for the supersaturation. The latter equation gives the average supersaturation over a large ...

R. C. Srivastava

1989-04-01T23:59:59.000Z

474

On the Identification of the Large-Scale Properties of Tropical Convection using Cloud Regimes  

Science Conference Proceedings (OSTI)

The use of cloud regimes in identifying tropical convection and the associated large-scale atmospheric properties is investigated. The regimes are derived by applying cluster analysis to satellite retrievals of daytime-averaged frequency ...

Jackson Tan; Christian Jakob; Todd P. Lane

475

Another Look at Stochastic Condensation for Subgrid Cloud Modeling: Adiabatic Evolution and Effects  

Science Conference Proceedings (OSTI)

The theory of stochastic condensation, which models the impact of an ensemble of unresolved supersaturation fluctuations S? on the volume-averaged droplet-size distribution f?(r), is revisited in the modern context of subgrid cloud ...

Christopher A. Jeffery; Jon M. Reisner; Miroslaw Andrejczuk

2007-11-01T23:59:59.000Z

476

CO2 Retrieval over Clouds from the OCO Mission: Model Simulations and Error Analysis  

Science Conference Proceedings (OSTI)

Spectral characteristics of the future Orbiting Carbon Observatory (OCO) sensor, which will be launched in January 2009, were used to infer the carbon dioxide column-averaged mixing ratio over liquid water clouds over ocean by means of radiative ...

Jrme Vidot; Ralf Bennartz; Christopher W. ODell; Ren Preusker; Rasmus Lindstrot; Andrew K. Heidinger

2009-06-01T23:59:59.000Z

477

ETSI CLOUD - initial standardization requirements for cloud services  

Science Conference Proceedings (OSTI)

While the technological basis for cloud services is relatively mature, the development of the market is still at an early stage. There is considerable potential, but also a number of widely held concerns which are inhibiting mainstream adoption of cloud ... Keywords: ETSI, cloud services, standardization

Karsten Oberle; Mike Fisher

2010-08-01T23:59:59.000Z

478

More Observations of Small Funnel Clouds and Other Tubular Clouds  

Science Conference Proceedings (OSTI)

In this brief contribution, photographic documentation is provided of a variety of small, tubular-shaped clouds and of a small funnel cloud pendant from a convective cloud that appears to have been modified by flow over high-altitude mountains in ...

Howard B. Bluestein

2005-12-01T23:59:59.000Z

479

Observations of Cloud-Top Entrainment in Marine Stratocumulus Clouds  

Science Conference Proceedings (OSTI)

Measurements of the thermodynamic and dynamic properties of entrainment events in marine stratocumulus are used to explain why cloud-top entrainment instability may not lead to the breakup of the clouds and to define the role of cloud-top ...

Qing Wang; Bruce A. Albrecht

1994-06-01T23:59:59.000Z

480

The Magellan Final Report on Cloud Computing  

E-Print Network (OSTI)

resources. 1. Finding Tropical Cyclones on a Cloud Computing2010 2. Finding Tropical Cyclones on Clouds, D. Hasenkamp

Coghlan, Susan

2013-01-01T23:59:59.000Z

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


481

Enhancement of Cumulus Clouds over Deforested Lands in Amazonia  

Science Conference Proceedings (OSTI)

A survey of shallow (fair weather) cumulus clouds over part of Amazonia yields evidence of enhanced frequency where the forest had been cleared. The survey covers one dry-season month from 1988. It employs a threshold algorithm to construct an ...

Elen Cutrim; David W. Martin; Robert Rabin

1995-10-01T23:59:59.000Z

482

Nimbus-7 Global Cloud Climatology. Part II: First Year Results  

Science Conference Proceedings (OSTI)

Regional and seasonal variations in global cloud cover observed by the Nimbus-7 satellite over 1 year are analyzed by examining the 4 midseason monthsApril, July and October 1979 and January 1980. The Nimbus-7 data set is generated from the ...

Larry L. Stowe; H. Y. Michael Yeh; Thomas F. Eck; Charlie G. Wellemeyer; H. Lee Kyle; The Nimbus-7 Cloud Data Processing Team

1989-07-01T23:59:59.000Z

483

Natural gas monthly, June 1994  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is the executive summary from Natural Gas 1994: Issues and Trends. 6 figs., 31 tabs.

Not Available

1994-06-01T23:59:59.000Z

484

MONTHLY NATURAL GAS PRODUCTION REPORT  

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

No. 1905-0205 No. 1905-0205 Expiration Date: 05/31/2015 Burden: 3 hours MONTHLY NATURAL GAS PRODUCTION REPORT Version No.: 2011.001 REPORT PERIOD: Month: Year: If any respondent identification data has changed since the last report, enter an "X" in the box: - - - - Mail to: - Oklahoma 2. Natural Gas Lease Production 1. Gross Withdrawals of Natural Texas Contact Title: COMMENTS: Identify any unusual aspects of your operations during the report month. (To start a new line, use alt + enter.) Wyoming Other States Alaska New Mexico City: Gas Louisiana Company Name: Address 1:

485

Natural gas monthly, November 1996  

Science Conference Proceedings (OSTI)

The report highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the Natural Gas Monthly features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is ``US natural gas imports and exports-1995``. 6 figs., 24 tabs.

NONE

1996-11-01T23:59:59.000Z

486

Natural gas monthly, June 1996  

Science Conference Proceedings (OSTI)

The natural gas monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article for this month is Natural Gas Industry Restructuring and EIA Data Collection.

NONE

1996-06-24T23:59:59.000Z

487

Internet ware cloud computing :Challenges  

E-Print Network (OSTI)

After decades of engineering development and infrastructural investment, Internet connections have become commodity product in many countries, and Internet scale "cloud computing" has started to compete with traditional software business through its technological advantages and economy of scale. Cloud computing is a promising enabling technology of Internet ware Cloud Computing is termed as the next big thing in the modern corporate world. Apart from the present day software and technologies, cloud computing will have a growing impact on enterprise IT and business activities in many large organizations. This paper provides an insight to cloud computing, its impacts and discusses various issues that business organizations face while implementing cloud computing. Further, it recommends various strategies that organizations need to adopt while migrating to cloud computing. The purpose of this paper is to develop an understanding of cloud computing in the modern world and its impact on organizations and businesse...

Qamar, S; Singh, Mrityunjay

2010-01-01T23:59:59.000Z

488

Mechanisms of Banner Cloud Formation  

Science Conference Proceedings (OSTI)

Banner clouds are clouds in the lee of steep mountains or sharp ridges. Their formation has previously been hypothesized as due to three different mechanisms: (i) vertical uplift in a lee vortex (which has a horizontal axis), (ii) adiabatic ...

Matthias Voigt; Volkmar Wirth

2013-11-01T23:59:59.000Z

489

Remote Sensing of Cloud Parameters  

Science Conference Proceedings (OSTI)

Day and night mapping of the global distributions of the horizontal cloud covers and the corresponding cloud-top pressure levels are derived from the same set of infrared radiance data used to retrieve clear-column temperature profiles. General ...

Moustafa T. Chahine

1982-01-01T23:59:59.000Z

490

A Computer for the Clouds  

NLE Websites -- All DOE Office Websites (Extended Search)

Computer for the Clouds A Computer for the Clouds August 1, 2008 By PHILIP E. ROSS Columnist IEEE Spectrum: Inside Technology In May an IBM-built supercomputer called Roadrunner...

491

Supersaturation Intermittency in Turbulent Clouds  

Science Conference Proceedings (OSTI)

It is hypothesized that bursts of high supersaturation are produced in turbulent, convective clouds through interactions between cloud droplets and the small-scale structure of atmospheric turbulence. This hypothesis is based on the observation ...

Raymond A. Shaw

2000-10-01T23:59:59.000Z

492

Ash cloud aviation advisories  

SciTech Connect

During the recent (12--22 June 1991) Mount Pinatubo volcano eruptions, the US Air Force Global Weather Central (AFGWC) requested assistance of the US Department of Energy`s Atmospheric Release Advisory Capability (ARAC) in creating volcanic ash cloud aviation advisories for the region of the Philippine Islands. Through application of its three-dimensional material transport and diffusion models using AFGWC meteorological analysis and forecast wind fields ARAC developed extensive analysis and 12-hourly forecast ash cloud position advisories extending to 48 hours for a period of five days. The advisories consisted of ``relative`` ash cloud concentrations in ten layers (surface-5,000 feet, 5,000--10,000 feet and every 10,000 feet to 90,000 feet). The ash was represented as a log-normal size distribution of 10--200 {mu}m diameter solid particles. Size-dependent ``ashfall`` was simulated over time as the eruption clouds dispersed. Except for an internal experimental attempt to model one of the Mount Redoubt, Alaska, eruptions (12/89), ARAC had no prior experience in modeling volcanic eruption ash hazards. For the cataclysmic eruption of 15--16 June, the complex three-dimensional atmospheric structure of the region produced dramatically divergent ash cloud patterns. The large eruptions (> 7--10 km) produced ash plume clouds with strong westward transport over the South China Sea, Southeast Asia, India and beyond. The low-level eruptions (< 7 km) and quasi-steady-state venting produced a plume which generally dispersed to the north and east throughout the support period. Modeling the sequence of eruptions presented a unique challenge. Although the initial approach proved viable, further refinement is necessary and possible. A distinct need exists to quantify eruptions consistently such that ``relative`` ash concentrations relate to specific aviation hazard categories.

Sullivan, T.J.; Ellis, J.S. [Lawrence Livermore National Lab., CA (United States); Schalk, W.W.; Nasstrom, J.S. [EG and G, Inc., Pleasanton, CA (United States)

1992-06-25T23:59:59.000Z

493

Optimization Online - String-Averaging Projected Subgradient ...  

E-Print Network (OSTI)

Aug 29, 2013 ... Optimization Online. String-Averaging Projected Subgradient Methods for Constrained Minimization. Yair Censor(yair ***at*** math.haifa.ac.il)

494

Average Stock Levels: Crude Market & Propane  

U.S. Energy Information Administration (EIA)

This graph shows that propane was not alone in experiencing excess supply in 1998 and extraordinary stock builds. Note that the graph shows average stock levels ...

495

Electric power monthly, March 1998 with data for December 1997  

SciTech Connect

The Electric Power Monthly (EPM) provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. 63 tabs.

NONE

1998-03-01T23:59:59.000Z

496

NIST Cloud Computing Related Publications  

Science Conference Proceedings (OSTI)

... Challenging Security Requirements for US Government Cloud Computing Adoption", December 2012 C. Dabrowski and K. Mills, "VM Leakage and ...

2013-07-31T23:59:59.000Z

497

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

SciTech Connect

Results are presented from an intercomparison of single-column and cloud-resolving model simulations of a cold-air outbreak mixed-phase stratocumulus cloud observed during the Atmospheric Radiation Measurement (ARM) program's Mixed-Phase Arctic Cloud Experiment. The observed cloud occurred in a well-mixed boundary layer with a cloud top temperature of -15 C. The observed average liquid water path of around 160 g m{sup -2} was about two-thirds of the adiabatic value and much greater than the average mass of ice crystal precipitation which when integrated from the surface to cloud top was around 15 g m{sup -2}. The simulations were performed by seventeen single-column models (SCMs) and nine cloud-resolving models (CRMs). While the simulated ice water path is generally consistent with the observed values, the median SCM and CRM liquid water path is a factor of three smaller than observed. Results from a sensitivity study in which models removed ice microphysics suggest that in many models the interaction between liquid and ice-phase microphysics is responsible for the large model underestimate of liquid water path. Despite this general underestimate, the simulated liquid and ice water paths of several models are consistent with the observed values. Furthermore, there is evidence that models with more sophisticated microphysics simulate liquid and ice water paths that are in better agreement with the observed values, although considerable scatter is also present. Although no single factor guarantees a good simulation, these results emphasize the need for improvement in the model representation of mixed-phase microphysics.

Klein, Stephen A.; McCoy, Renata B.; Morrison, Hugh; Ackerman, Andrew S.; Avramov, Alexander; de Boer, Gijs; Chen, Mingxuan; Cole, Jason N.S.; Del Genio, Anthony D.; Falk, Michael; Foster, Michael J.; Fridlind, Ann; Golaz, Jean-Christophe; Hashino, Tempei; Harrington, Jerry Y.; Hoose, Corinna; Khairoutdinov, Marat F.; Larson, Vincent E.; Liu, Xiaohong; Luo, Yali; McFarquhar, Greg M.; Menon, Surabi; Neggers, Roel A. J.; Park, Sungsu; Poellot, Michael R.; Schmidt, Jerome M.; Sednev, Igor; Shipway, Ben J.; Shupe, Matthew D.; Spangenberg, Douglas A.; Sud, Yogesh C.; Turner, David D.; Veron, Dana E.; von Salzen, Knut; Walker, Gregory K.; Wang, Zhien; Wolf, Audrey B.; Xie, Shaocheng; Xu, Kuan-Man; Yang, Fanglin; Zhang, Gong

2009-02-02T23:59:59.000Z

498

Monthly Energy Review - June 2001  

Gasoline and Diesel Fuel Update (EIA)

June June 28, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

499

Monthly Energy Review - February 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 E n e r g y P l u g : N a t u r a l G a s A n n u a l 2 0 0 2 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: February 24, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

500

Monthly Energy Review - September 1999  

Gasoline and Diesel Fuel Update (EIA)

September September 27, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(99/09) Monthly Energy