Stochastic Weather Generator Output for Selected Warming Scenarios for the Nashua River Watershed in Massachusetts

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

Resources

Name Format Description Link
55 Landing page for access to the data https://doi.org/10.5066/P9JHB2X2
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.61842a51d34ec04fc9bfe8c5.xml

Tags

  • nashua-river
  • climatology
  • usgs-61842a51d34ec04fc9bfe8c5
  • hydrology
  • massachusetts

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