A land data assimilation system for sub-Saharan Africa food and water security applications.
Identifieur interne : 000000 ( PubMed/Corpus ); suivant : 000001A land data assimilation system for sub-Saharan Africa food and water security applications.
Auteurs : Amy Mcnally ; Kristi Arsenault ; Sujay Kumar ; Shraddhanand Shukla ; Pete Peterson ; Shugong Wang ; Chris Funk ; Christa D. Peters-Lidard ; James P. VerdinSource :
- 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
Links to Exploration step
pubmed:28195575Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A land data assimilation system for sub-Saharan Africa food and water security applications.</title><author><name sortKey="Mcnally, Amy" sort="Mcnally, Amy" uniqKey="Mcnally A" first="Amy" last="Mcnally">Amy Mcnally</name><affiliation><nlm:affiliation>University of Maryland Earth Systems Science Interdisciplinary Center, College Park, Maryland 20740, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Arsenault, Kristi" sort="Arsenault, Kristi" uniqKey="Arsenault K" first="Kristi" last="Arsenault">Kristi Arsenault</name><affiliation><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Kumar, Sujay" sort="Kumar, Sujay" uniqKey="Kumar S" first="Sujay" last="Kumar">Sujay Kumar</name><affiliation><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Shukla, Shraddhanand" sort="Shukla, Shraddhanand" uniqKey="Shukla S" first="Shraddhanand" last="Shukla">Shraddhanand Shukla</name><affiliation><nlm:affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Peterson, Pete" sort="Peterson, Pete" uniqKey="Peterson P" first="Pete" last="Peterson">Pete Peterson</name><affiliation><nlm:affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Shugong" sort="Wang, Shugong" uniqKey="Wang S" first="Shugong" last="Wang">Shugong Wang</name><affiliation><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Funk, Chris" sort="Funk, Chris" uniqKey="Funk C" first="Chris" last="Funk">Chris Funk</name><affiliation><nlm:affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</nlm:affiliation></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><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation></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><nlm:affiliation>U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota 57105, USA.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:28195575</idno><idno type="pmid">28195575</idno><idno type="doi">10.1038/sdata.2017.12</idno><idno type="wicri:Area/PubMed/Corpus">000000</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000000</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A land data assimilation system for sub-Saharan Africa food and water security applications.</title><author><name sortKey="Mcnally, Amy" sort="Mcnally, Amy" uniqKey="Mcnally A" first="Amy" last="Mcnally">Amy Mcnally</name><affiliation><nlm:affiliation>University of Maryland Earth Systems Science Interdisciplinary Center, College Park, Maryland 20740, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Arsenault, Kristi" sort="Arsenault, Kristi" uniqKey="Arsenault K" first="Kristi" last="Arsenault">Kristi Arsenault</name><affiliation><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Kumar, Sujay" sort="Kumar, Sujay" uniqKey="Kumar S" first="Sujay" last="Kumar">Sujay Kumar</name><affiliation><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Shukla, Shraddhanand" sort="Shukla, Shraddhanand" uniqKey="Shukla S" first="Shraddhanand" last="Shukla">Shraddhanand Shukla</name><affiliation><nlm:affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Peterson, Pete" sort="Peterson, Pete" uniqKey="Peterson P" first="Pete" last="Peterson">Pete Peterson</name><affiliation><nlm:affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Shugong" sort="Wang, Shugong" uniqKey="Wang S" first="Shugong" last="Wang">Shugong Wang</name><affiliation><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Funk, Chris" sort="Funk, Chris" uniqKey="Funk C" first="Chris" last="Funk">Chris Funk</name><affiliation><nlm:affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</nlm:affiliation></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><nlm:affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</nlm:affiliation></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><nlm:affiliation>U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota 57105, USA.</nlm:affiliation></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><pubmed><MedlineCitation Status="In-Data-Review" Owner="NLM"><PMID Version="1">28195575</PMID><DateCreated><Year>2017</Year><Month>02</Month><Day>14</Day></DateCreated><DateRevised><Year>2017</Year><Month>02</Month><Day>18</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2052-4463</ISSN><JournalIssue CitedMedium="Internet"><Volume>4</Volume><PubDate><Year>2017</Year><Month>Feb</Month><Day>14</Day></PubDate></JournalIssue><Title>Scientific data</Title><ISOAbbreviation>Sci Data</ISOAbbreviation></Journal><ArticleTitle>A land data assimilation system for sub-Saharan Africa food and water security applications.</ArticleTitle><Pagination><MedlinePgn>170012</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/sdata.2017.12</ELocationID><Abstract><AbstractText NlmCategory="UNASSIGNED">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.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>McNally</LastName><ForeName>Amy</ForeName><Initials>A</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-7094-7599</Identifier><AffiliationInfo><Affiliation>University of Maryland Earth Systems Science Interdisciplinary Center, College Park, Maryland 20740, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Arsenault</LastName><ForeName>Kristi</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>SAIC, Inc., McLean, Virginia 22102, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kumar</LastName><ForeName>Sujay</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shukla</LastName><ForeName>Shraddhanand</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Peterson</LastName><ForeName>Pete</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Shugong</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>SAIC, Inc., McLean, Virginia 22102, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Funk</LastName><ForeName>Chris</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>University of California Santa Barbara, Department of Geography and Climate Hazards Group, Santa Barbara, California 93106, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota 57105, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Peters-Lidard</LastName><ForeName>Christa D</ForeName><Initials>CD</Initials><Identifier Source="ORCID">http://orcid.org/0000-0003-1255-2876</Identifier><AffiliationInfo><Affiliation>NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Verdin</LastName><ForeName>James P</ForeName><Initials>JP</Initials><AffiliationInfo><Affiliation>U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota 57105, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>02</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Sci Data</MedlineTA><NlmUniqueID>101640192</NlmUniqueID><ISSNLinking>2052-4463</ISSNLinking></MedlineJournalInfo></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>07</Month><Day>04</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>01</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>2</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>2</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>2</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28195575</ArticleId><ArticleId IdType="pii">sdata201712</ArticleId><ArticleId IdType="doi">10.1038/sdata.2017.12</ArticleId><ArticleId IdType="pmc">PMC5308203</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000000 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000000 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:28195575
|texte= A land data assimilation system for sub-Saharan Africa food and water security applications.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:28195575" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a SisAgriV1
| This area was generated with Dilib version V0.6.28. |  |