{"id":"https://openalex.org/W2775304359","doi":"https://doi.org/10.1109/igarss.2017.8127769","title":"A new SMOS sea surface salinity retrieval method","display_name":"A new SMOS sea surface salinity retrieval method","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2775304359","doi":"https://doi.org/10.1109/igarss.2017.8127769","mag":"2775304359"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5073696618","display_name":"Hongping Li","orcid":"https://orcid.org/0009-0007-9497-631X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongping Li","raw_affiliation_strings":["Department of Marine Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Marine Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113283239","display_name":"Xiao Han","orcid":"https://orcid.org/0000-0002-3231-4958"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Han","raw_affiliation_strings":["Department of Marine Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Marine Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069832956","display_name":"Changjun Li","orcid":"https://orcid.org/0000-0002-5539-062X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjun Li","raw_affiliation_strings":["Department of Mathematical Science, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Science, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052054339","display_name":"Hong Zhao","orcid":"https://orcid.org/0000-0001-8090-3450"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhao","raw_affiliation_strings":["Department of Mathematical Science, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Science, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073696618"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13872117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"3564","last_page":"3567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sss*","display_name":"SSS*","score":0.67157381772995},{"id":"https://openalex.org/keywords/argo","display_name":"Argo","score":0.6654139757156372},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6618720293045044},{"id":"https://openalex.org/keywords/significant-wave-height","display_name":"Significant wave height","score":0.6048213839530945},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5518751740455627},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"Sea surface temperature","score":0.5241265892982483},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.5155677795410156},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4642738699913025},{"id":"https://openalex.org/keywords/salinity","display_name":"Salinity","score":0.4151725172996521},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3779253363609314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2744677662849426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27072209119796753},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.2343796193599701},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19984009861946106},{"id":"https://openalex.org/keywords/wind-wave","display_name":"Wind wave","score":0.19688349962234497},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18343457579612732},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.15904828906059265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10865247249603271},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09000623226165771}],"concepts":[{"id":"https://openalex.org/C148699463","wikidata":"https://www.wikidata.org/wiki/Q3492668","display_name":"SSS*","level":2,"score":0.67157381772995},{"id":"https://openalex.org/C51614570","wikidata":"https://www.wikidata.org/wiki/Q647931","display_name":"Argo","level":2,"score":0.6654139757156372},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6618720293045044},{"id":"https://openalex.org/C85910571","wikidata":"https://www.wikidata.org/wiki/Q2674049","display_name":"Significant wave height","level":3,"score":0.6048213839530945},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5518751740455627},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.5241265892982483},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.5155677795410156},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4642738699913025},{"id":"https://openalex.org/C129513315","wikidata":"https://www.wikidata.org/wiki/Q179615","display_name":"Salinity","level":2,"score":0.4151725172996521},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3779253363609314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2744677662849426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27072209119796753},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.2343796193599701},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19984009861946106},{"id":"https://openalex.org/C165082838","wikidata":"https://www.wikidata.org/wiki/Q165848","display_name":"Wind wave","level":2,"score":0.19688349962234497},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18343457579612732},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.15904828906059265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10865247249603271},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09000623226165771},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1861231223","https://openalex.org/W2092670880","https://openalex.org/W2105555532","https://openalex.org/W2132549823","https://openalex.org/W2141219203","https://openalex.org/W2145933057","https://openalex.org/W2148624883","https://openalex.org/W3081041649"],"related_works":["https://openalex.org/W2049496639","https://openalex.org/W2006761511","https://openalex.org/W4312578013","https://openalex.org/W3206969232","https://openalex.org/W3001611209","https://openalex.org/W2563790898","https://openalex.org/W2048087895","https://openalex.org/W2039880985","https://openalex.org/W2388889035","https://openalex.org/W3153458872"],"abstract_inverted_index":{"Sea":[0],"surface":[1,14,50,69],"roughness":[2,51],"and":[3,52,80,90,95,112,144,168],"foam":[4,72],"have":[5],"great":[6],"influence":[7],"on":[8],"the":[9,34,40,45,91,120,125,137,145,158,160,169,177,182],"retrieval":[10,36,183],"accuracy":[11,37,184],"of":[12,26,162],"sea":[13,49,68],"salinity":[15],"(SSS)":[16],"from":[17],"satellite":[18],"measured":[19],"L-band":[20],"brightness":[21],"temperature":[22,70],"(TB).":[23],"A":[24],"lot":[25],"work":[27],"need":[28],"to":[29,32,43,118,123],"be":[30],"done":[31],"improve":[33,181],"SSS":[35,155,165,187],"especially":[38],"using":[39],"forward":[41],"model":[42,87,122,134,179],"reduce":[44],"error":[46,140],"induced":[47],"by":[48],"foam.":[53],"In":[54],"this":[55],"paper,":[56],"seven":[57],"factors,":[58,110],"whitecap":[59],"coverage,":[60],"significant":[61],"wave":[62,65],"height":[63],"(SWH),":[64],"steepness,":[66],"wavelength,":[67],"(SST),":[71],"thickness,":[73],"Water":[74],"droplets":[75],"density,":[76],"their":[77],"second-order":[78],"items,":[79],"interaction":[81],"items":[82],"are":[83,114],"selected":[84],"as":[85],"our":[86],"input":[88],"candidates,":[89],"Least":[92],"Absolute":[93],"Shrinkage":[94],"Selection":[96],"Operation":[97],"(LASSO)":[98],"method":[99],"is":[100,142,150,166,171],"used":[101],"for":[102,185],"critical":[103],"factor":[104],"selection.":[105],"As":[106],"a":[107],"result,":[108],"two":[109],"SST":[111],"SWH,":[113],"carefully":[115],"picked":[116],"up":[117],"establish":[119],"new":[121,178],"calculate":[124],"TB":[126],"variants":[127],"with":[128,153],"quadratic":[129],"curve":[130],"regression":[131],"formulas.":[132],"The":[133],"shows":[135],"that":[136,176],"mean":[138,147],"absolute":[139],"(MAE)":[141],"1.09psu":[143],"root":[146],"square":[148],"(RMSE)":[149],"1.70psu":[151],"compared":[152],"Argo":[154],"data,":[156],"in":[157],"meanwhile,":[159],"MEA":[161],"SMOS":[163,186],"L2":[164],"1.69psu":[167],"RMSE":[170],"2.48psu":[172],"respectively.":[173],"Results":[174],"show":[175],"can":[180],"measurements.":[188]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}