ORNL DAAC Data Release - DAYMET Daily Surface Weather Data & Annual Climate Summary for 2024

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ORNL - blancohl
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ORNL DAAC Data Release - DAYMET Daily Surface Weather Data & Annual Climate Summary for 2024

by ORNL - blancohl » Wed Oct 01, 2025 9:02 am America/New_York

ORNL DAAC recently released a new dataset by Thornton, M.M. et al (2025):

Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1

This dataset provides Daymet Version 4 R1 data as gridded estimates of daily weather parameters for North America, Hawaii, and Puerto Rico. Daymet variables include the following parameters: 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 December 31 (or December 30 in leap years) of the most recent full calendar year for the Continental North America and Hawaii spatial regions.

Citation: Thornton, M. M., Shrestha, R., Wei, Y., Thornton, P. E., & Kao, S.-C. (2022). Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1 (Version 4.1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2129

Daymet: Annual Climate Summaries on a 1-km Grid for North America, Version 4 R1

This dataset provides annual climate summaries derived from Daymet Version 4 R1 daily data at a 1 km x 1 km spatial resolution for five Daymet variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable. Each data file is provided as a single year by variable and covers the same period of record as the Daymet V4 R1 daily data.

Citation: Thornton, M. M., Shrestha, R., Wei, Y., Thornton, P. E., & Kao, S.-C. (2022). Daymet: Annual Climate Summaries on a 1-km Grid for North America, Version 4 R1 (Version 4.1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2130

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