A land data assimilation system for sub-Saharan Africa food and water security applications

Seasonal agricultural drought monitoring systems, which rely on satellite remote sensing and land surface models (LSMs), are important for disaster risk reduction and famine early warning. These systems require the best available weather inputs, as well as a long-term historical record to contextual...

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Detalles Bibliográficos
Autores principales: McNally, Amy, Arsenault, Kristi, Kumar, Sujay, Shukla, Shraddhanand, Peterson, Pete, Wang, Shugong, Funk, Chris, Peters-Lidard, Christa D., Verdin, James P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308203/
https://www.ncbi.nlm.nih.gov/pubmed/28195575
http://dx.doi.org/10.1038/sdata.2017.12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308203/
https://www.ncbi.nlm.nih.gov/pubmed/28195575
http://dx.doi.org/10.1038/sdata.2017.12

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