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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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Publicado no: | Sci Data |
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Main Authors: | , , , , , , , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Nature Publishing Group
2017
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Assuntos: | |
Acesso em linha: | 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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