A land data assimilation system for sub-Saharan Africa food and water security applications.
Identifieur interne : 000706 ( Ncbi/Curation ); précédent : 000705; suivant : 000707A land data assimilation system for sub-Saharan Africa food and water security applications.
Auteurs : Amy Mcnally [États-Unis] ; Kristi Arsenault [États-Unis] ; Sujay Kumar [États-Unis] ; Shraddhanand Shukla [États-Unis] ; Pete Peterson [États-Unis] ; Shugong Wang [États-Unis] ; Chris Funk [États-Unis] ; Christa D. Peters-Lidard [États-Unis] ; James P. Verdin [États-Unis]Source :
- Scientific data [ 2052-4463 ] ; 2017.
Abstract
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 contextualize current observations. This article introduces the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), a custom instance of the NASA Land Information System (LIS) framework. The FLDAS is routinely used to produce multi-model and multi-forcing estimates of hydro-climate states and fluxes over semi-arid, food insecure regions of Africa. These modeled data and derived products, like soil moisture percentiles and water availability, were designed and are currently used to complement FEWS NET's operational remotely sensed rainfall, evapotranspiration, and vegetation observations. The 30+ years of monthly outputs from the FLDAS simulations are publicly available from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) and recommended for use in hydroclimate studies, early warning applications, and by agro-meteorological scientists in Eastern, Southern, and Western Africa.
DOI: 10.1038/sdata.2017.12
PubMed: 28195575
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USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106</wicri:regionArea><orgName type="university">Université de Californie à Santa Barbara</orgName><placeName><settlement type="city">Santa Barbara (Californie)</settlement><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Wang, Shugong" sort="Wang, Shugong" uniqKey="Wang S" first="Shugong" last="Wang">Shugong Wang</name><affiliation wicri:level="1"><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771</wicri:regionArea><wicri:noRegion>Maryland 20771</wicri:noRegion></affiliation></author><author><name sortKey="Funk, Chris" sort="Funk, Chris" uniqKey="Funk C" first="Chris" last="Funk">Chris Funk</name><affiliation wicri:level="4"><nlm:affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106</wicri:regionArea><orgName type="university">Université de Californie à Santa Barbara</orgName><placeName><settlement type="city">Santa Barbara (Californie)</settlement><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Peters Lidard, Christa D" sort="Peters Lidard, Christa D" uniqKey="Peters Lidard C" first="Christa D" last="Peters-Lidard">Christa D. Peters-Lidard</name><affiliation wicri:level="1"><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771</wicri:regionArea><wicri:noRegion>Maryland 20771</wicri:noRegion></affiliation></author><author><name sortKey="Verdin, James P" sort="Verdin, James P" uniqKey="Verdin J" first="James P" last="Verdin">James P. Verdin</name><affiliation wicri:level="1"><nlm:affiliation>U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota 57105, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota 57105</wicri:regionArea><wicri:noRegion>South Dakota 57105</wicri:noRegion></affiliation></author></analytic><series><title level="j">Scientific data</title><idno type="eISSN">2052-4463</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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 contextualize current observations. This article introduces the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), a custom instance of the NASA Land Information System (LIS) framework. The FLDAS is routinely used to produce multi-model and multi-forcing estimates of hydro-climate states and fluxes over semi-arid, food insecure regions of Africa. These modeled data and derived products, like soil moisture percentiles and water availability, were designed and are currently used to complement FEWS NET's operational remotely sensed rainfall, evapotranspiration, and vegetation observations. The 30+ years of monthly outputs from the FLDAS simulations are publicly available from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) and recommended for use in hydroclimate studies, early warning applications, and by agro-meteorological scientists in Eastern, Southern, and Western Africa.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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