Daymet: Daily Surface Weather Dataset Published

Posted by GIS talk On Thursday, May 22, 2014
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The ORNL DAAC is pleased to announce the release of Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2, http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1219.

Data set prepared by P.E. Thornton, M.M. Thornton, B.W. Mayer, N. Wilhelmi, Y. Wei, and R.B. Cook.

This data set provides Daymet output data as mosaicked gridded estimates of daily weather parameters for North America, including continuous surfaces of day length, precipitation, shortwave radiation, snow water equivalent, maximum air temperature, minimum air temperature, and water vapor pressure. The Daymet data product was derived from selected meteorological station data by interpolation and extrapolation algorithms.

The current data product covers the period January 1, 1980 to December 31, 2012. Data are available on a daily time step at a 1-km x 1-km spatial res- olution in Lambert Conformal Conic projection with a spatial extent that covers the conterminous United States, Mexico, and Southern Canada as meteorological station density allows.

Daymet mosaic data sets are available from the ORNL DAAC via two download mechanisms: 1) Data files may be obtained through DAAC search and order tools or directly from the FTP site. 2) Data can be subset spatially and temporally prior to downloading via the THREDDS (Thematic Real-time Environmental Data Services) Data Server. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF file formats.

Other tools are provided on the ORNL DAAC Daymet website, http://daymet.ornl.gov, that allow extraction of Daymet variable daily data as a text file for a single pixel or the download of gridded Daymet data in 2 degree by 2 degree tile data sets.

The ORNL DAAC, http://daac.ornl.gov, is one of twelve NASA funded Earth Observing System Data and Information System (EOSDIS), http://earthdata.nasa.gov, Distributed Active Archive Centers (DAACs) archiving and distributing terrestrial ecology and biogeochemical dynamics data.


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