{"id":"https://openalex.org/W6963617623","doi":"https://doi.org/10.21227/f5d8-9j41","title":"Spatiotemporal seamless global surface soil moisture","display_name":"Spatiotemporal seamless global surface soil moisture","publication_year":2024,"publication_date":"2024-11-27","ids":{"openalex":"https://openalex.org/W6963617623","doi":"https://doi.org/10.21227/f5d8-9j41"},"language":"en","primary_location":{"id":"doi:10.21227/f5d8-9j41","is_oa":true,"landing_page_url":"https://doi.org/10.21227/f5d8-9j41","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/f5d8-9j41","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xu, Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xu, Lei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ye, Zhenni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Zhenni","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Dai, Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Jin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Li, Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Qi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hong, Youting","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Youting","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tao, Yun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Yun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yu, Hongchu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Hongchu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Chong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Chen, Nengcheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Nengcheng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.7213000059127808},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.6909999847412109},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.4830999970436096},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.4810999929904938},{"id":"https://openalex.org/keywords/infiltration","display_name":"Infiltration (HVAC)","score":0.362199991941452},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.359499990940094}],"concepts":[{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.7213000059127808},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7185999751091003},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.6909999847412109},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36649999022483826},{"id":"https://openalex.org/C153400128","wikidata":"https://www.wikidata.org/wiki/Q3150731","display_name":"Infiltration (HVAC)","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.35989999771118164},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.358599990606308},{"id":"https://openalex.org/C176783924","wikidata":"https://www.wikidata.org/wiki/Q828158","display_name":"Evapotranspiration","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C133830359","wikidata":"https://www.wikidata.org/wiki/Q81041","display_name":"Water cycle","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C164285268","wikidata":"https://www.wikidata.org/wiki/Q7159349","display_name":"Pedotransfer function","level":4,"score":0.2743000090122223},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/f5d8-9j41","is_oa":true,"landing_page_url":"https://doi.org/10.21227/f5d8-9j41","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/f5d8-9j41","is_oa":true,"landing_page_url":"https://doi.org/10.21227/f5d8-9j41","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.4455280005931854}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,14,54,70,79,117,214,277,299,320,322],"spatiotemporal":[2,106,337],"seamless":[3,30,107],"soil":[4,35,109,156,173,196,220,251,266,309,338],"moisture":[5,36,110,157,174,197,221,252,267,310,339],"(SM)":[6],"products":[7],"are":[8,25,63],"important":[9],"for":[10,28,141,218,335],"hydrological":[11],"drought":[12],"monitoring":[13],"agricultural":[15],"water":[16],"management.":[17],"Currently,":[18],"physically-based":[19],"process":[20],"models":[21,213],"with":[22,241],"data":[23,111,118,140,166,203],"assimilation":[24,204],"widely":[26],"used":[27],"global":[29,93,154,230],"SM":[31,132],"generation,":[32],"such":[33],"as":[34,167],"active":[37],"passive":[38],"level":[39,176],"4":[40],"(SMAP":[41,178],"L4),":[42],"the":[43,47,121,171,182,188,195,209,263,306,312,328],"land":[44,231],"component":[45],"of":[46,50,202,211,275,285],"fifth":[48],"generation":[49],"European":[51],"Reanalysis":[52],"(ERA5-land)":[53],"Global":[55],"Land":[56],"Data":[57],"Assimilation":[58],"System Noah":[59],"(GLDAS-Noah).":[60],"These":[61],"datasets":[62,133],"usually":[64],"produced":[65],"using":[66,112,160,187,248],"high-performance":[67],"computation":[68],"platforms":[69],"may":[71],"subject":[72],"to":[73,104,129,136,152,193,237,305],"potential":[74,334],"uncertainties":[75],"from":[76,233,254],"model":[77,142,149,186,226],"structure":[78],"parameters,":[80],"limiting":[81],"their":[82],"practical":[83],"application":[84],"capacity":[85],"in":[86,90,134,318,324],"a":[87,98,242,271],"flexible":[88],"way":[89],"local":[91],"or":[92],"areas.":[94],"Here,":[95],"we":[96],"proposed":[97],"data-driven":[99,225],"artificial":[100],"intelligence":[101],"(AI)-based":[102],"method":[103,126],"generate":[105],"daily":[108,155],"triple":[113,122],"collocation,":[114],"machine":[115,146,184,206],"learning":[116,147,185,207],"assimilation.":[119],"Specifically,":[120],"collocation":[123],"correlation":[124,273],"coefficients (TCR)":[125],"is":[127,150,227],"employed":[128],"combine":[130],"different":[131],"order":[135],"obtain":[137],"high-accuracy":[138],"label":[139],"training first.":[143],"A":[144],"LightGBM":[145],"(ML)":[148],"constructed":[151],"simulate":[153],"at":[158],"0.25\u00b0,":[159],"ERA5":[161],"meteorological":[162],"forcings":[163],"and MSWEP":[164],"precipitation":[165],"inputs.":[168],"In":[169],"addition,":[170],"satellite-based":[172],"SMAP":[175,290],"3":[177],"L3) is":[179],"assimilated":[180,265],"into":[181,205],"developed":[183,224,329],"simple":[189],"Newtonian":[190],"nudging":[191],"technique":[192],"update":[194],"simulation":[198],"states.":[199],"The":[200,223,259],"incorporation":[201],"mimics":[208],"idea":[210],"physical":[212],"brings":[215],"much":[216],"room":[217],"adaptable":[219],"simulations.":[222],"examined":[228],"over":[229],"areas":[232],"March":[234],"31,":[235,239],"2015":[236],"May":[238],"2023":[240],"ten-fold":[243],"cross":[244],"validation":[245],"scheme,":[246],"evaluated":[247],"1094":[249],"in-situ":[250],"stations":[253],"International":[255],"Soil":[256],"Moisture":[257],"Network (ISMN).":[258],"results":[260],"indicate":[261],"that":[262],"ML-based":[264],"dataset":[268,314],"(ML-DA)":[269],"demonstrates":[270],"median":[272],"(R)":[274],"0.741":[276],"an":[278],"unbiased":[279],"root":[280],"mean":[281],"square":[282],"error":[283],"(ubRMSE)":[284],"0.0437":[286],"m3/m3,":[287],"better":[288],"than":[289],"L4":[291],"(R=0.717,":[292],"ubRMSE=0.0452":[293,297],"m3/m3),":[294],"ERA5-land":[295],"(R=0.706,":[296],"m3/m3)":[298],"GLDAS":[300],"(R=0.633,":[301],"ubRMSE=0.0501":[302],"m3/m3).":[303],"Compared":[304],"three":[307],"model-based":[308],"products,":[311],"ML-DA":[313,330],"exhibits":[315],"superior":[316],"performance":[317],"time":[319],"space":[321],"also":[323],"dry-wet":[325],"zones.":[326],"Therefore,":[327],"framework":[331]," offers":[332],"significant":[333],"accurate,":[336],"simulations":[340],"globally.":[341]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}