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Daymet: Station-Level Inputs and Cross-Validation for North America, Version 4 R1


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This dataset reports the station-level daily weather observation data and the corresponding cross-validation results for three Daymet model parameters: minimum temperature (tmin), maximum temperature (tmax), and daily total precipitation (prcp) across continental North America (including Canada, the United States, and Mexico), Hawaii, and Puerto Rico. Each data file contains the daily observations and cross-validation results for one parameter for each modeled region and each year, that is, from 1980 to the current calendar year for stations across continental North America and Hawaii and from 1950 to the current year for Puerto Rico. Also included are corresponding station metadata files listing every surface weather station used in Daymet processing for each parameter, region, and year and containing the station name, station identification, latitude, and longitude. The data are provided in netCDF and text formats. In Version 4 R1, all 2020 and 2021 files were updated to improve predictions especially in high-latitude areas. It was found that input files used for deriving 2020 and 2021 data had, for a significant portion of Canadian weather stations, missing daily variable readings for the month of January. NCEI has corrected issues with the Environment Canada ingest feed which led to the missing readings. The revised 2020 and 2021 Daymet V4 R1 files were derived with new GHCNd inputs. Files outside of 2020 and 2021 have not changed from the previous V4 release.

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Data Use and Citation

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Crosscite Citation Formatter
Thornton, M.M., R. Shrestha, Y. Wei, P.E. Thornton, and S-C. Kao. 2022. Daymet: Station-Level Inputs and Cross-Validation for North America, Version 4 R1. ORNL DAAC, Oak Ridge, Tennessee, USA.

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

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Companion Files

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Dataset has 1 companion files.

  • Daymet_xval_V4R1.pdf

Advanced Data Access through THREDDS Data Server

Additional Resources

TutorialSpatial and Temporal Subsets of Daymet Data Using the THREDDS NetCDF Subset Service (NCSS) for Grids
Codegeoknife package version 1.5.5
WebinarToward Analysis Ready Data - Programmatically Discover, Access, and Subset Daymet V4 Data with Python and ArcGIS
TutorialDaymet Single Pixel Data Extraction - Web Services
CodeDaymetPy: A python library for accessing Daymet surface weather data
CodeFedData - Getting assorted geospatial data into R
CodeDaymet Single Pixel Batch Scripts
CodeHyRiver - A suite of Python packages that includes the PyDaymet API and Notebook examples to assess Aridity, Potential Evapotranspiration, and Climates using Daymet inputs.
CodePyGeoHydro - a python library designed to aid in watershed analysis
Classroom ExerciseGEOG 576 EX3 Shapefile projection and daymet grids
TutorialAccessing data through ORNL DAAC web services
CodeA Programmatic Interface to the Daymet Web Services: DaymetR
TutorialPython Methods to Derive a Seasonal Mean from Daymet Data
WebinarNetCD-what? An Ecologist's Guide to Working with Daymet and other NetCDF-formatted Data

Version History

VersionDataset TitlePublished
3Daymet: Station-Level Inputs and Model Predicted Values for North America, Version 32017-05-25
4Daymet: Station-Level Inputs and Cross-Validation Result for North America, Version 42020-12-15
4.1Daymet: Station-Level Inputs and Cross-Validation for North America, Version 4 R12022-11-01