Dataset Identification:
Resource Abstract:
- description: _Abstract:_ Monthly and annual average solar resource potential for the lower 48 states of the United States
of America. _Purpose:_ Provide information on the solar resource potential for the for the lower 48 states of the United States
of America. _Supplemental Information:_ This data provides monthly average and annual average daily total solar resource averaged
over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation
(CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific
information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses
information on cloud cover, atmostpheric 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. The cloud cover data used as input
to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately
40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained
from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis
(RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures
for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement
stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the
model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled
values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate
influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the
modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Other Citation
Details: George, R, and E. Maxwell, 1999: "High-Resolution Maps of Solar Collector Performance Using A Climatological
Solar Radiation Model", Proceedings of the 1999 Annual Conference, American Solar Energy Society, Portland, ME. ### License
Info This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the
Alliance for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without
any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this
entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications
or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations
on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial
entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also
understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind
whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING
BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE
OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges
that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be
authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating
the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written
assurances and other export-related documentation as may be required to comply with U.S. export regulations.; abstract: _Abstract:_
Monthly and annual average solar resource potential for the lower 48 states of the United States of America. _Purpose:_ Provide
information on the solar resource potential for the for the lower 48 states of the United States of America. _Supplemental
Information:_ This data provides monthly average and annual average daily total solar resource averaged over surface cells
of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The
CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information
about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information
on cloud cover, atmostpheric 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. The cloud cover data used as input to the CSR
model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km
x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from
the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis
(RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures
for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement
stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the
model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled
values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate
influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the
modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Other Citation
Details: George, R, and E. Maxwell, 1999: "High-Resolution Maps of Solar Collector Performance Using A Climatological
Solar Radiation Model", Proceedings of the 1999 Annual Conference, American Solar Energy Society, Portland, ME. ### License
Info This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the
Alliance for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without
any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this
entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications
or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations
on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial
entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also
understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind
whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING
BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE
OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges
that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be
authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating
the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written
assurances and other export-related documentation as may be required to comply with U.S. export regulations.
Citation
- Title NREL GIS Data: Continental United States High Resolution Concentrating Solar Power.
-
- creation Date
2017-08-29T17:35:09.979022
Resource language:
Processing environment:
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Metadata data stamp:
2018-08-06T19:53:47Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T19:53:47Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:0fd3e1b2-0e53-4e37-b822-7c3e810fe78c
Metadata record format is ISO19139 XML (MD_Metadata)