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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Enregistré dans:
Détails bibliographiques
Publié dans:Sci Data
Auteurs principaux: McNally, Amy, Arsenault, Kristi, Kumar, Sujay, Shukla, Shraddhanand, Peterson, Pete, Wang, Shugong, Funk, Chris, Peters-Lidard, Christa D., Verdin, James P.
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group 2017
Sujets:
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Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5308203/
https://ncbi.nlm.nih.gov/pubmed/28195575
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/sdata.2017.12
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