Estimates of daily weather parameters in North America on a one-kilometer grid.
Daymet provides measurements of near-surface meteorological conditions; the main purpose of Daymet is provide data estimates where no instrumentation exists. This dataset provides Daymet Version 3 data for North America; the island areas of Hawaii and Puerto Rico are available as files separate from the continental land mass. Daymet output variables include minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Daymet variables are continuous surfaces provided as individual files, by variable and year, at 1-kilometer spatial resolution and daily temporal resolution. Data are in a Lambert Conformal Conic projection for North America and are distributed in netCDF format compliant with Climate and Forecast (CF) metadata conventions (version 1.6).
Data are stored in blobs in the East US data center, in the following blob container:
Within that container, data are named as:
- Variable is one of:
- tmin (minimum temperature)
- tmax (maximum temperature)
- prcp (precipitation)
- srad (shortwave radiation)
- vp (vapor pressure)
- sne (snow water equivalent)
- dayl (day length)
- year is a four-digit year
- region is a region code, one of “na” (North American continental mass), “hawaii”, or “puertorico”
For example, maximum temeperature data from 1982 for the continental mass is available at:
A complete Python example of accessing and plotting a Daymet blob is available in the notebook provided under “data access”.
We also provide a read-only SAS (shared access signature) token to allow access to Daymet data via, e.g., BlobFuse, which allows you to mount blob containers as drives:
Mounting instructions for Linux are here.
Large-scale processing using this dataset is best performed in the East US Azure data center, where the data is stored. If you are using Daymet data for environmental science applications, consider applying for an AI for Earth grant to support your compute requirements.
If you use this data in a publication, please cite:
Thornton, P.E., M.M. Thornton, B.W. Mayer, Y. Wei, R. Devarakonda, R.S. Vose, and R.B. Cook. 2016. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3. ORNL DAAC, Oak Ridge, Tennessee, USA.
See the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC)’s Data Use and Citations Policy for more information.
The following resources and references may be helpful when working with the Daymet dataset:
Average daily maximum temperature in Hawaii in 2017.
For questions about this dataset, contact
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This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft.
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Quickly explore the dataset with Jupyter notebooks hosted on Azure or your local machine.