{"id":"https://openalex.org/W4403391462","doi":"https://doi.org/10.1109/tgrs.2024.3479452","title":"A New Operational Northern Hemisphere Snow Water Equivalent Retrieval Algorithm for FY-3F/MWRI-II Based on Pixel-Based Regression Coefficients","display_name":"A New Operational Northern Hemisphere Snow Water Equivalent Retrieval Algorithm for FY-3F/MWRI-II Based on Pixel-Based Regression Coefficients","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403391462","doi":"https://doi.org/10.1109/tgrs.2024.3479452"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3479452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3479452","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5107746727","display_name":"Jianwei Yang","orcid":"https://orcid.org/0000-0002-1708-1180"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Yang","raw_affiliation_strings":["Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1708-1180","affiliations":[{"raw_affiliation_string":"Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056336938","display_name":"Lingmei Jiang","orcid":"https://orcid.org/0000-0002-9847-9034"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingmei Jiang","raw_affiliation_strings":["Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9847-9034","affiliations":[{"raw_affiliation_string":"Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090170360","display_name":"Zhaojun Zheng","orcid":"https://orcid.org/0000-0002-7331-1905"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaojun Zheng","raw_affiliation_strings":["National Satellite Meteorological Center (National Center for Space Weather), Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Satellite Meteorological Center (National Center for Space Weather), Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069344383","display_name":"Jinmei Pan","orcid":"https://orcid.org/0000-0003-2726-771X"},"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/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmei Pan","raw_affiliation_strings":["National Space Science Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2726-771X","affiliations":[{"raw_affiliation_string":"National Space Science Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107012907","display_name":"Anaer Shayiran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anaer Shayiran","raw_affiliation_strings":["Beijing Huayun Shinetek Science and Technology Company, Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Huayun Shinetek Science and Technology Company, Ltd., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3229,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93013669,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9965000152587891,"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/T11333","display_name":"Climate change and permafrost","score":0.9939000010490417,"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/snow","display_name":"Snow","score":0.7278878092765808},{"id":"https://openalex.org/keywords/water-equivalent","display_name":"Water equivalent","score":0.6452268362045288},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6151072382926941},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.546271800994873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.507340133190155},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5003197193145752},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4560120701789856},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4401726722717285},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.39588046073913574},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3330882787704468},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3233339786529541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25239646434783936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21697354316711426},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14156001806259155},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12772274017333984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12169599533081055}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.7278878092765808},{"id":"https://openalex.org/C3018601724","wikidata":"https://www.wikidata.org/wiki/Q27862396","display_name":"Water equivalent","level":3,"score":0.6452268362045288},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6151072382926941},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.546271800994873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.507340133190155},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5003197193145752},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4560120701789856},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4401726722717285},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.39588046073913574},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3330882787704468},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3233339786529541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25239646434783936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21697354316711426},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14156001806259155},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12772274017333984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12169599533081055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3479452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3479452","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.5799999833106995,"display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G3676352411","display_name":null,"funder_award_id":"42201346","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7992381639","display_name":null,"funder_award_id":"2021NTST02","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1987288027","https://openalex.org/W2027824608","https://openalex.org/W2029604816","https://openalex.org/W2034409215","https://openalex.org/W2052312814","https://openalex.org/W2058776629","https://openalex.org/W2063544218","https://openalex.org/W2095377724","https://openalex.org/W2103497845","https://openalex.org/W2131010628","https://openalex.org/W2144718584","https://openalex.org/W2155607073","https://openalex.org/W2166252673","https://openalex.org/W2174732504","https://openalex.org/W2265573996","https://openalex.org/W2291349597","https://openalex.org/W2293380175","https://openalex.org/W2419345105","https://openalex.org/W2514631964","https://openalex.org/W2550290998","https://openalex.org/W2562602163","https://openalex.org/W2604571421","https://openalex.org/W2762332208","https://openalex.org/W2763635700","https://openalex.org/W2794628806","https://openalex.org/W2802142729","https://openalex.org/W2876418872","https://openalex.org/W2913323966","https://openalex.org/W2932511276","https://openalex.org/W2942453788","https://openalex.org/W2973027498","https://openalex.org/W2979460632","https://openalex.org/W2992562544","https://openalex.org/W3017283281","https://openalex.org/W3028009944","https://openalex.org/W3040868219","https://openalex.org/W3138775694","https://openalex.org/W3162013729","https://openalex.org/W3176041963","https://openalex.org/W3177423633","https://openalex.org/W3195071620","https://openalex.org/W3207046961","https://openalex.org/W3212250770","https://openalex.org/W4225078822","https://openalex.org/W4242609942","https://openalex.org/W4285506866","https://openalex.org/W4320878983","https://openalex.org/W4321599832","https://openalex.org/W4376851073","https://openalex.org/W4384377331","https://openalex.org/W4389113716","https://openalex.org/W4391420190","https://openalex.org/W4401431342","https://openalex.org/W6725921232"],"related_works":["https://openalex.org/W2326987295","https://openalex.org/W2910852340","https://openalex.org/W2173563168","https://openalex.org/W2314704010","https://openalex.org/W1556733052","https://openalex.org/W2912517250","https://openalex.org/W4232772724","https://openalex.org/W4200423595","https://openalex.org/W2965252521","https://openalex.org/W3130971750"],"abstract_inverted_index":{"Satellite":[0],"passive":[1],"microwave":[2],"(PMW)":[3],"remote":[4],"sensing":[5],"is":[6],"widely":[7],"used":[8],"for":[9,89],"monitoring":[10,261],"the":[11,17,70,73,77,90,106,112,132,141,149,159,166,192,205,236,265],"snow":[12,30,113,174,259],"water":[13],"equivalent":[14],"(SWE)":[15],"in":[16,55,66,80,165,172,198,228],"Northern":[18,86],"Hemisphere.":[19],"Existing":[20],"operational":[21,143],"SWE":[22,49,102,121,271],"retrieval":[23,41],"methods,":[24],"especially":[25],"those":[26],"without":[27],"assimilating":[28],"ground-based":[29],"depth":[31],"priors,":[32],"still":[33,226],"utilize":[34],"globally":[35],"constant":[36],"coefficients":[37,97],"to":[38,117,130,139],"construct":[39,140],"regression-based":[40],"algorithms.":[42,145],"The":[43,176,188,252],"current":[44],"Fengyun-3":[45],"(FY-3)":[46],"series":[47],"of":[48,72,76,270],"product":[50],"algorithms":[51],"has":[52],"made":[53],"improvements":[54],"China,":[56],"where":[57],"biases":[58],"have":[59],"been":[60],"significantly":[61],"reduced":[62],"locally":[63],"but":[64],"not":[65],"other":[67],"regions.":[68],"Within":[69],"context":[71],"successful":[74],"launch":[75],"FY-3F":[78,144,178,194,254],"satellites":[79],"2023,":[81],"we":[82,125],"developed":[83],"a":[84,100,119],"better":[85],"Hemisphere":[87],"algorithm":[88,179,195,255],"Microwave":[91],"Radiation":[92],"Imager-II":[93],"(FY-3F/MWRI-II)":[94],"using":[95],"pixel-sensitive":[96],"regressed":[98],"on":[99],"reference":[101,122,133],"dataset.":[103,123],"We":[104,146],"utilized":[105],"random":[107],"forest":[108],"model":[109,115],"coupled":[110],"with":[111],"emission":[114],"(HUT-RF)":[116],"obtain":[118],"high-accuracy":[120],"Then,":[124],"employed":[126],"linear":[127],"regression":[128,167],"equations":[129],"fit":[131],"HUT-RF":[134],"dataset":[135],"at":[136,162],"each":[137],"pixel":[138],"new":[142],"innovatively":[147],"introduced":[148],"brightness":[150],"temperature":[151],"differences":[152,161],"between":[153],"18.7":[154],"and":[155,158,200,219,231,245,263,267],"89":[156],"GHz":[157,164],"polarization":[160],"10.65":[163],"after":[168],"noting":[169],"their":[170],"sensitivity":[171],"deep":[173],"estimation.":[175],"proposed":[177,193,253],"was":[180],"extensively":[181],"validated":[182],"via":[183],"four":[184],"spatially":[185],"independent":[186],"datasets.":[187],"results":[189],"demonstrated":[190],"that":[191],"performed":[196],"well":[197],"non-mountainous":[199],"sparsely":[201],"forested":[202,233],"areas,":[203,234],"e.g.,":[204,235],"overall":[206,237],"unbiased":[207],"root":[208],"mean":[209],"square":[210],"error":[211],"(unRMSE)":[212],"values":[213,239],"were":[214,240],"27.15":[215],"mm":[216,221,242,247],"over":[217,222,243,248],"Russia":[218],"13.70":[220],"China.":[223],"High":[224],"uncertainties":[225],"occurred":[227],"complex":[229],"terrains":[230],"densely":[232],"unRMSE":[238],"75.30":[241],"Canada":[244],"129.06":[246],"western":[249],"North":[250],"America.":[251],"could":[256],"improve":[257],"global":[258],"cover":[260],"capabilities":[262],"enhance":[264],"complete":[266],"timely":[268],"understanding":[269],"changes.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
