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Nature Scientific Data Publication Highlights Daymet V4 Model Improvements

Submitted by ORNL DAAC Staff on 2022-01-05
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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.

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

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

Daymet Version 4 Data Products highlighted by NASA's Earthdata

Submitted by ORNL DAAC Staff on 2021-01-28
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A regional view of Daymet V4 daily total precipitation over 2 days during the time period that Hurricane Harvey made landfall in August of 2017.

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Daymet Version 4's improved algorithm and sensor timing and bias corrections result in more accurate and precise data.

Daymet Developer Remains Among Web of Science's Most Highly Cited

Submitted by ORNL DAAC Staff on 2021-01-05
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Dr. Peter Thornton studies the interactions of land ecosystems with other components of the Earth's climate system including biogeochemical and physical land-atmosphere feedbacks, and interactions with human systems. 

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For the third consecutive year, Dr. Peter Thornton has been recognized for exceptional research.