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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Sparad:
Bibliografiska uppgifter
I publikationen:Sci Data
Huvudupphovsmän: McNally, Amy, Arsenault, Kristi, Kumar, Sujay, Shukla, Shraddhanand, Peterson, Pete, Wang, Shugong, Funk, Chris, Peters-Lidard, Christa D., Verdin, James P.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Nature Publishing Group 2017
Ämnen:
Data Descriptor
Länkar: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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