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...

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Detalles Bibliográficos
Autores principales: Khaki, M., Hendricks Franssen, H.-J., Han, S. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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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