{"id":"https://openalex.org/W2896300281","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8476001","title":"Study on the Method of Multi-Objective Parameters Optimization for Land Surface Models Based on Data Assimilation","display_name":"Study on the Method of Multi-Objective Parameters Optimization for Land Surface Models Based on Data Assimilation","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2896300281","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8476001","mag":"2896300281"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics.2018.8476001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8476001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004145814","display_name":"He Zhu","orcid":"https://orcid.org/0000-0001-9606-150X"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Zhu","raw_affiliation_strings":["Disaster Reduction Technical Engineering, China Institute of Water Resources and Hydropower Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Disaster Reduction Technical Engineering, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027432922","display_name":"Hongli Zhao","orcid":"https://orcid.org/0000-0002-7426-4928"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Zhao","raw_affiliation_strings":["Department of Water Resources Research, China Institute of Water Resources and Hydropower Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Water Resources Research, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019965181","display_name":"Yunzhong Jiang","orcid":"https://orcid.org/0000-0001-8018-8346"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhong Jiang","raw_affiliation_strings":["Department of Water Resources Research, China Institute of Water Resources and Hydropower Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Water Resources Research, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661616","display_name":"Jianwei Ma","orcid":"https://orcid.org/0000-0002-9457-2872"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Ma","raw_affiliation_strings":["Disaster Reduction Technical Engineering, China Institute of Water Resources and Hydropower Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Disaster Reduction Technical Engineering, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103912034","display_name":"Yongmin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmin Yang","raw_affiliation_strings":["Disaster Reduction Technical Engineering, China Institute of Water Resources and Hydropower Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Disaster Reduction Technical Engineering, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004145814"],"corresponding_institution_ids":["https://openalex.org/I4210092032"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08814274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.8195662498474121},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.7655254006385803},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.7192391753196716},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.5393192172050476},{"id":"https://openalex.org/keywords/brightness-temperature","display_name":"Brightness temperature","score":0.4831644892692566},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.4772234261035919},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4759123921394348},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45803168416023254},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2542702257633209},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13019844889640808},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09247249364852905},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07449907064437866}],"concepts":[{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.8195662498474121},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.7655254006385803},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7192391753196716},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.5393192172050476},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.4831644892692566},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.4772234261035919},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4759123921394348},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45803168416023254},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2542702257633209},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13019844889640808},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09247249364852905},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07449907064437866},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics.2018.8476001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8476001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.5299999713897705,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2007879205","https://openalex.org/W2016655351","https://openalex.org/W2151665282","https://openalex.org/W2364911203"],"related_works":["https://openalex.org/W2387055199","https://openalex.org/W2313061941","https://openalex.org/W2588661485","https://openalex.org/W1953485902","https://openalex.org/W2654527859","https://openalex.org/W1666666856","https://openalex.org/W1983414154","https://openalex.org/W2540909290","https://openalex.org/W2111586823","https://openalex.org/W2390005173"],"abstract_inverted_index":{"Data":[0],"assimilation":[1,105,153,205,283,304,342],"is":[2,38,144,175,308],"one":[3],"effective":[4,55,64],"method":[5,78,268,288,295,338,343],"of":[6,10,33,39,47,50,107,129,155,183,207,243,296,305,322],"integrating":[7],"the":[8,21,29,44,48,127,169,179,184,199,208,218,241,255,265,294,311,319,323,329],"advantages":[9],"multiple":[11],"observation":[12],"data":[13,65,86,104,258,263,282,303,341],"from":[14,275],"ground":[15],"stations":[16],"and":[17,27,53,94,110,121,152,158,187,204,211,216,232,269,285,339],"remote":[18],"sensing,":[19],"optimizing":[20],"land":[22,34,80,95,111,123,159,188,212,270,324,346],"surface":[23,35,81,96,112,124,160,189,213,271,325,347],"process":[24,49],"model":[25,284,298,313],"parameters":[26,76,219,299,336],"promoting":[28],"regional":[30],"simulation":[31,45,202,320],"capability":[32,321],"models,":[36],"which":[37,143,315],"great":[40],"significance":[41],"for":[42,67,79,126,332],"improving":[43,131],"effect":[46],"hydrological":[51,58],"cycle":[52],"obtaining":[54],"temporal-spatial":[56,132],"continuous":[57,133],"factors":[59,307],"so":[60,192],"as":[61,99,193,250],"to":[62,177,194,221],"provide":[63,328],"supporting":[66],"efficient":[68],"agricultural":[69],"water":[70,229],"management.":[71],"We":[72,278,327],"develop":[73],"a":[74,281],"multi-objective":[75,140,165,180,297,335],"optimization":[77,141,166,244,300,337],"models":[82],"based":[83,115,163,301,344],"on":[84,116,164,302,334,345],"multi-element":[85,103,340],"assimilation.":[87],"Taking":[88,246],"two":[89],"interrelated":[90],"factors,":[91],"soil":[92,108,134,156,185,209,222,228,256],"moisture":[93,109,135,157,186,210,223,257],"brightness":[97,113,161,190,214,272],"temperature":[98,114,162,215,273],"examples,":[100],"we":[101,138,239,253],"build":[102,139],"scheme":[106],"Ensemble":[117],"Kalman":[118],"Filter":[119],"(EnKF)":[120],"Noah":[122],"model,":[125],"purpose":[128],"eventually":[130],"simulation.":[136],"Then":[137],"function":[142,181],"set":[145,279],"by":[146,260],"using":[147],"observed":[148,200],"values,":[149,201,203],"simulated":[150],"values":[151,154,206],"concept.":[167],"Meanwhile,":[168],"Shuffled":[170],"Complex":[171],"Evolution":[172],"(SCE-VA)":[173],"algorithm":[174],"used":[176],"minimize":[178],"value":[182],"temperature,":[191],"achieve":[195],"best":[196],"fit":[197],"between":[198],"optimize":[217],"related":[220],"(saturated":[224],"hydraulic":[225],"conductivity,":[226],"saturated":[227],"potential,":[230],"Clapp":[231],"Hornberger":[233],"constant,":[234],"vegetation":[235],"roughness,":[236],"etc.).":[237],"Finally,":[238],"evaluate":[240],"validation":[242],"results.":[245],"Hetao":[247],"irrigation":[248],"district":[249],"an":[251],"example,":[252],"obtain":[254],"retrieved":[259],"multi-remote":[261],"sensing":[262],"through":[264],"TVDI":[266],"index":[267],"derived":[274],"single-window":[276],"algorithm.":[277],"up":[280],"carry":[286],"out":[287],"tests.":[289],"The":[290],"result":[291],"shows":[292],"that":[293],"multi-hydrological":[306],"better":[309],"than":[310],"original":[312],"simulation,":[314],"has":[316],"indeed":[317],"improved":[318],"model.":[326,348],"valuable":[330],"experience":[331],"study":[333]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
