DAAC Home > Resources > News

News

Daymet

Nature Scientific Data Publication Highlights Daymet V4 Model Improvements

Submitted by ORNL DAAC Staff on 2022-01-05
Image Media
Image Media
Caption

Annual timeseries of daily cross-validation mean absolute error (MAE), averaged over all station days for each year, comparing results for Daymet V4 and Daymet V3. (a) MAE for estimation of daily maximum temperature. (b) MAE for estimation of daily total precipitation. Image from Thornton et al. 2021.

Body
A recent publication by Thornton et. al., 2021, Gridded daily weather data for North America with comprehensive uncertainty quantification, details improvements to the Daymet V4 Model.

Earthdata Webinar: Daymet V4 - Toward Analysis Ready Data

Submitted by ORNL DAAC Staff on 2021-08-25
Image Media
Image Media
Caption

Michele Thornton presents Earthdata Webinar: Toward Analysis Ready Data - Programmatically Discover, Access, and Subset Daymet V4 Data with Python and ArcGIS

Body
Learn how to programmatically discover, access, and subset Daymet V4 Data with Python and ArcGIS, August 31, 2021 at 2:00 EDT.