Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe
<p>Data assimilation (DA) of remotely sensed leaf area index (LAI) can help to improve land surface model estimates of energy, water, and carbon variables. So far, most studies have used bias-blind LAI DA approaches, i.e. without correcting for biases between model forecasts and observations. This m...
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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Copernicus Publications
2023-11-01
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| Colección: | Hydrology and Earth System Sciences |
| Acceso en línea: | https://hess.copernicus.org/articles/27/4087/2023/hess-27-4087-2023.pdf |
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