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
For full citation information, click on the appropriate dataset DOI below.
Daymet: Annual Climate Summaries on a 1-km Grid for North America, Version 4 R1 https://doi.org/10.3334/ORNLDAAC/2130
Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1 https://doi.org/10.3334/ORNLDAAC/2129
Daymet: Monthly Climate Summaries on a 1-km Grid for North America, Version 4 R1 https://doi.org/10.3334/ORNLDAAC/2131
Daymet: Station-Level Inputs and Cross-Validation for North America, Version 4 R1 https://doi.org/10.3334/ORNLDAAC/2132
Daymet Version 4 Monthly Latency: Daily Surface Weather Data https://doi.org/10.3334/ORNLDAAC/1904
Method Citations
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., R. Shrestha, M. Thornton, S.-C. Kao, Y. Wei, and B. E. Wilson. 2021. Gridded daily weather data for North America with comprehensive uncertainty quantification. Scientific Data 8. https://doi.org/10.1038/s41597-021-00973-0
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
