Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms
Abstract. Spatio-temporal fields of land–atmosphere fluxes derived from data-driven models can complement simulations by process-based land surface models. While a number of strategies for empirical models with eddy-covariance flux data have been applied, a systematic intercomparison of these method...
| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Copernicus GmbH
2016
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/129400 |
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