{"id":"https://openalex.org/W2900716107","doi":"https://doi.org/10.1109/igarss.2018.8518144","title":"Integrating Eddy Covariance Information with Beps Model Using a Variational Assimilation Scheme for Improving Temporally Continuous Gpp Estimation","display_name":"Integrating Eddy Covariance Information with Beps Model Using a Variational Assimilation Scheme for Improving Temporally Continuous Gpp Estimation","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2900716107","doi":"https://doi.org/10.1109/igarss.2018.8518144","mag":"2900716107"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082765830","display_name":"Xinyao Xie","orcid":"https://orcid.org/0000-0002-4901-0854"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyao Xie","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019197462","display_name":"Ainong Li","orcid":"https://orcid.org/0000-0002-4543-5118"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ainong Li","raw_affiliation_strings":["Research Center for Digital Mountain and Remote Sensing Application, Chinese Academy of Sciences, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Digital Mountain and Remote Sensing Application, Chinese Academy of Sciences, Chengdu, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005934331","display_name":"Gaofei Yin","orcid":"https://orcid.org/0000-0002-9828-7139"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaofei Yin","raw_affiliation_strings":["Research Center for Digital Mountain and Remote Sensing Application, Chinese Academy of Sciences, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Digital Mountain and Remote Sensing Application, Chinese Academy of Sciences, Chengdu, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108528359","display_name":"Jinhu Bian","orcid":"https://orcid.org/0000-0003-1472-5259"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhu Bian","raw_affiliation_strings":["Research Center for Digital Mountain and Remote Sensing Application, Chinese Academy of Sciences, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Digital Mountain and Remote Sensing Application, Chinese Academy of Sciences, Chengdu, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":"99","issue":null,"first_page":"9048","last_page":"9051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.842767596244812},{"id":"https://openalex.org/keywords/eddy-covariance","display_name":"Eddy covariance","score":0.7764595746994019},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.685197651386261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.579259991645813},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4126591384410858},{"id":"https://openalex.org/keywords/primary-production","display_name":"Primary production","score":0.4113318622112274},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3417060673236847},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33680784702301025},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3128979206085205},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.2624949812889099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19702467322349548},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13947784900665283},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09244728088378906},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07040905952453613}],"concepts":[{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.842767596244812},{"id":"https://openalex.org/C35187779","wikidata":"https://www.wikidata.org/wiki/Q5336709","display_name":"Eddy covariance","level":3,"score":0.7764595746994019},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.685197651386261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579259991645813},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4126591384410858},{"id":"https://openalex.org/C24717449","wikidata":"https://www.wikidata.org/wiki/Q515905","display_name":"Primary production","level":3,"score":0.4113318622112274},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3417060673236847},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33680784702301025},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3128979206085205},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.2624949812889099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19702467322349548},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13947784900665283},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09244728088378906},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07040905952453613},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1553108857","https://openalex.org/W1992887705","https://openalex.org/W2022306346","https://openalex.org/W2024060531","https://openalex.org/W2027968622","https://openalex.org/W2028891572","https://openalex.org/W2073842243","https://openalex.org/W2091810257","https://openalex.org/W2137203802","https://openalex.org/W2138083030","https://openalex.org/W2172148618","https://openalex.org/W2288797935","https://openalex.org/W2346521225","https://openalex.org/W2791134671"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4241747271","https://openalex.org/W2917147847","https://openalex.org/W4285728579","https://openalex.org/W4206637836","https://openalex.org/W2564836735","https://openalex.org/W2890621699","https://openalex.org/W2064064686","https://openalex.org/W2170838091","https://openalex.org/W3165210789"],"abstract_inverted_index":{"The":[0],"gross":[1],"primary":[2],"productivity":[3],"(GPP)":[4],"is":[5,38],"an":[6],"essential":[7],"parameter":[8],"of":[9,15,26,48,77,103,111],"terrestrial":[10,18],"carbon":[11],"cycle,":[12],"and":[13,41,80,119],"simulation":[14],"GPP":[16,84,124],"through":[17],"ecosystem":[19],"process":[20],"model":[21,27,31,78,104,114],"usually":[22],"needs":[23],"a":[24,39,45,53,116],"specification":[25],"parameter.":[28],"However,":[29],"estimating":[30],"parameters":[32,79],"in":[33,94],"situ":[34],"field":[35],"or":[36],"laboratory":[37],"laborious":[40],"tedious":[42],"work,":[43],"causing":[44],"general":[46],"lack":[47],"data.":[49],"In":[50],"this":[51],"study,":[52],"reliable":[54],"variational":[55,91],"data":[56],"assimilation":[57,92],"scheme":[58,93],"integrating":[59],"Boreal":[60],"Ecosystem":[61],"Productivity":[62],"Simulator":[63],"(BEPS)":[64],"with":[65],"eddy":[66],"covariance":[67],"fluxes,":[68],"was":[69],"proposed":[70,90],"to":[71],"account":[72],"for":[73,122],"the":[74,89,100,123],"seasonal":[75,101],"variations":[76,102],"improve":[81],"temporally":[82,108],"continuous":[83,109],"estimation.":[85,125],"Results":[86],"suggested":[87],"that":[88],"our":[95],"study":[96],"could":[97],"effectively":[98],"track":[99],"parameters.":[105],"With":[106],"optimal":[107],"values":[110],"parameters,":[112],"BEPS":[113],"had":[115],"better":[117],"performance":[118],"potential":[120],"ability":[121]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
