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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Salvato in:
Dettagli Bibliografici
Pubblicato in:Sci Data
Autori principali: McNally, Amy, Arsenault, Kristi, Kumar, Sujay, Shukla, Shraddhanand, Peterson, Pete, Wang, Shugong, Funk, Chris, Peters-Lidard, Christa D., Verdin, James P.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group 2017
Soggetti:
Data Descriptor
Accesso online: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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