Stochastic Weather Generator Output for Selected Warming Scenarios for the Nashua River Watershed in Massachusetts
The datasets are gridded daily precipitation and minimum and maximum temperature for a period of 64 years for warming scenarios of 0 to 8 degrees Celsius, by 0.5 degrees for the Nashua River watershed in Massachusetts. The data are output from a Stochastic Weather Generator developed at Cornell University (Steinschneider and Najibi, 2022) and includes 100 ensembles of each warming scenario. The data files are in NetCDF format (https://www.unidata.ucar.edu/software/netcdf/).
Steinschneider, S., and Najibi, N., 2022, A weather-regime based stochastic weather generator for climate scenario development across Massachusetts—Technical documentation: Ithaca, N.Y., Cornell University, [Department of] Biological and Environmental Engineering report, 47 p., accessed February 16, 2023, at https://eea-nescaum-dataservices-assets-prd.s3.amazonaws.com/cms/GUIDELINES/FinalTechnicalDocumentation_WGEN_20220405.pdf
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Scott A Olson", "@type": "vcard:Contact", "hasEmail": "mailto:solson@usgs.gov" } |
| description | The datasets are gridded daily precipitation and minimum and maximum temperature for a period of 64 years for warming scenarios of 0 to 8 degrees Celsius, by 0.5 degrees for the Nashua River watershed in Massachusetts. The data are output from a Stochastic Weather Generator developed at Cornell University (Steinschneider and Najibi, 2022) and includes 100 ensembles of each warming scenario. The data files are in NetCDF format (https://www.unidata.ucar.edu/software/netcdf/). Steinschneider, S., and Najibi, N., 2022, A weather-regime based stochastic weather generator for climate scenario development across Massachusetts—Technical documentation: Ithaca, N.Y., Cornell University, [Department of] Biological and Environmental Engineering report, 47 p., accessed February 16, 2023, at https://eea-nescaum-dataservices-assets-prd.s3.amazonaws.com/cms/GUIDELINES/FinalTechnicalDocumentation_WGEN_20220405.pdf |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P9JHB2X2", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.61842a51d34ec04fc9bfe8c5.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_61842a51d34ec04fc9bfe8c5 |
| keyword |
[ "Massachusetts", "Nashua River", "USGS:61842a51d34ec04fc9bfe8c5", "climatology", "hydrology" ] |
| modified | 2024-03-19T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -72.1088, 42.2689, -71.4771, 42.8031 |
| theme |
[ "geospatial" ] |
| title | Stochastic Weather Generator Output for Selected Warming Scenarios for the Nashua River Watershed in Massachusetts |
