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This data has achieved Bronze level on 25 October 2015 which means this data makes a great start at the basics of publishing open data.
Solar: monthly latitude tilt GIS data at 40km resolution for Bangladesh from NREL
Summary
- Type of release
- a one-off release of a set of related datasets
- Licence
- Creative Commons CCZero
- Verification
- automatically awarded
- Release Date
- 23 February 2015
- Modified Date
- 1 September 2015
- Publishers
- Department of Energy
- Keywords
- atmospheric-water-vapor, gef, gis, latitutde-tilt-irradiance, nrel, solar, swera, tilt, unep
- Identifier
- solar-monthly-latitude-tilt-gis-data-at-40km-resolution-for-bangladesh-from-nrel-2bad2
- Landing Page
- http://catalog.data.gov/dataset/solar-monthly-latitude-tilt-gis-data-at-40km-resolution-for-bangladesh-from-nrel-2bad2
- Maintainers
- Nicholas Langle nicholas.langle@nrel.gov
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Description
_(Abstract):_ Monthly Average Solar Resource for flat-plate collectors tilted at latitude 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 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 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.
General Information
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This data is described at
http://catalog.data.gov/dataset/solar-monthly-latitude-tilt-gis-data-at-40km-resolution-for-bangladesh-from-nrel-2bad2 Do you think this data is incorrect? Let us know
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This data is published by
Department of Energy Do you think this data is incorrect? Let us know
Legal Information
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The rights statement is at
http://catalog.data.gov/dataset/solar-monthly-latitude-tilt-gis-data-at-40km-resolution-for-bangladesh-from-nrel-2bad2 Do you think this data is incorrect? Let us know
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Outside the US, this data is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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There are
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
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The content is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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This data contains
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Practical Information
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The data appears in this collection
http://catalog.data.gov/organization/doe-gov Do you think this data is incorrect? Let us know
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The accuracy or relevance of this data will
go out of date but it is timestamped Do you think this data is incorrect? Let us know
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The data is
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Find out how to contact someone about this data at
http://catalog.data.gov/dataset/solar-monthly-latitude-tilt-gis-data-at-40km-resolution-for-bangladesh-from-nrel-2bad2 Do you think this data is incorrect? Let us know
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Find out how to suggest improvements to publication at
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/solar-monthly-latitude-tilt-gis-data-at-40km-resolution-for-bangladesh-from-nrel-2bad2 Do you think this data is incorrect? Let us know