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Daymet Developer Among Web of Science's Most Highly Cited

Submitted by ORNL DAAC Staff on 2019-11-22
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Dr. Peter Thornton in the field for NGEE Arctic
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Dr. Peter Thornton leads the Modeling and Scale Integration Science Team for the Next-Generation Ecosystem Experiments (NGEE) Arctic project.

Dr. Peter Thornton of the Department of Energy's Oak Ridge National Laboratory (ORNL) has been named in the 2019 Highly Cited Researchers list released by the Web of Science Group. This list recognizes the world's most influential researchers of the past decade as demonstrated by multiple highly-cited papers. This is the second consecutive year that Thornton has earned this distinction.

Thornton is a scientist in the ORNL Environmental Sciences Division studying the interactions of land ecosystems with components of the Earth's climate systems. His publications span the fields of biogeochemistry, climate science, ecosystems ecology, and land surface modeling. Early in his career and as part of a NASA Fellowship in Global Change Research, Thornton and colleagues developed a method for generating daily surfaces of temperature, precipitation, humidity, and radiation over large regions of complex terrain. This model led to the data products and services known as Daymet distributed by the ORNL DAAC. You'll also find more than 20 published datasets by Thornton among ORNL DAAC's data holdings.

Available through a variety of tools and formats, a popular access method is the Daymet Single Pixel Extraction Tool, which provides daily weather parameters for a given geolocation.

Data Citation: Thornton, P.E., M.M. Thornton, B.W. Mayer, Y. Wei, R. Devarakonda, R.S. Vose, and R.B. Cook. 2018. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1328
Data Center: ORNL DAAC
Sponsor: EOSDIS

Dr. Peter Thornton in the field for NGEE Arctic