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pro vyhledávání: '"Keri M. Kodama"'
Autor:
Keri M. Kodama, Ehsan Kourkchi, Ryan J. Longman, Matthew P. Lucas, Sayed M. Bateni, Yu‐Fen Huang, Aurora Kagawa‐Viviani, Jared Mclean, Sean B. Cleveland, Thomas W. Giambelluca
Publikováno v:
Earth and Space Science, Vol 11, Iss 1, Pp n/a-n/a (2024)
Abstract Gridded air temperature data are required in various fields such as ecological modeling, weather forecasting, and surface energy balance assessment. In this work, a piecewise multiple linear regression model is used to produce high‐resolut
Externí odkaz:
https://doaj.org/article/3f84430c8ae64564b89fb97ad9af6ad1
