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Multi-mission satellite remote sensing data for improving land hydrological models via data assimilation
Satellite remote sensing offers valuable tools to study Earth and hydrological processes and improve land surface models. This is essential to improve the quality of model predictions, which are affected by various factors such as erroneous input data, the uncertainty of model forcings, and paramete...
Autores principales: | Khaki, M., Hendricks Franssen, H.-J., Han, S. C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608680/ https://www.ncbi.nlm.nih.gov/pubmed/33139783 http://dx.doi.org/10.1038/s41598-020-75710-5 |
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