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Citations

To acknowledge the scientists who have created and shared data products, you should include a bibliographic citation to all data products that you use in your publications. Proper citations, including the authors, title, publisher, and DOI, will help others find and re-use the data.

Datasets Citations

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For full citation information, click on the appropriate dataset DOI below.

Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1840

Daymet: Annual Climate Summaries on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1852

Daymet: Monthly Climate Summaries on a 1-km Grid for North America, Version 4 https://doi.org/10.3334/ORNLDAAC/1855

Daymet: Station-Level Cross-Validation Uncertainty and Metadata, Version 4 https://doi.org/10.3334/ORNLDAAC/1850


Method Citations

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In addition to the dataset citation, the following should be used as the general reference for the methods used to generate Daymet data products:

Thornton, P.E., Rupesh Shrestha, M.M. Thornton, S.C. Kao, Y. Wei, and B.E. Wilson. Developments in a daily gridded meteorological data set for North America -- Daymet Version 4. Submitted Manuscript

Thornton, P.E., Running, S.W., White, M.A. 1997. Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology 190: 214 - 251. https://doi.org/10.1016/S0022-1694(96)03128-9

For applications of the radiation and humidity data please include the following citations in addition to the general citation:

Thornton, P.E., H. Hasenauer, and M.A. White. 2000. Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: An application over complex terrain in Austria. Agricultural and Forest Meteorology 104:255-271. https://doi.org/10.1016/S0168-1923(00)00170-2

Thornton, P.E. and S.W. Running. 1999. An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation. Agriculture and Forest Meteorology. 93:211-228. https://doi.org/10.1016/S0168-1923(98)00126-9