| Sonstiges: |
- Nachgewiesen in: MEDLINE
- Sprachen: English
- Publication Type: Journal Article
- Language: English
- [Environ Sci Pollut Res Int] 2021 Aug; Vol. 28 (30), pp. 41317-41336. <i>Date of Electronic Publication: </i>2021 Mar 30.
- MeSH Terms: Machine Learning* ; Meteorology* ; China ; Normal Distribution
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- Grant Information: 2020-64 the Water Conservancy Research and Extension Project of Hebei Province
- Contributed Indexing: Keywords: Gaussian exponential model; Limited climatic data; Local and regional scenarios; Machine learning models; Reference crop evapotranspiration
- Entry Date(s): Date Created: 20210330 Date Completed: 20210811 Latest Revision: 20210811
- Update Code: 20240513
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