{"id":"https://openalex.org/W4377983504","doi":"https://doi.org/10.1117/12.2682809","title":"Precipitation estimation by infrared brightness temperature measurement of FengYun-4A imager","display_name":"Precipitation estimation by infrared brightness temperature measurement of FengYun-4A imager","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4377983504","doi":"https://doi.org/10.1117/12.2682809"},"language":"en","primary_location":{"id":"doi:10.1117/12.2682809","doi":"https://doi.org/10.1117/12.2682809","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2682809","pdf_url":null,"source":{"id":"https://openalex.org/S7407104989","display_name":"Conference on Space, Atmosphere, Marine, and Environmental Optics (SAME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5088166724","display_name":"Gen Wang","orcid":"https://orcid.org/0000-0002-0319-3528","observed_orcids":["https://orcid.org/0000-0002-0319-3528","https://orcid.org/0000-0003-3104-1211"]},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gen Wang","raw_affiliation_strings":["Chaohu Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chaohu Univ. (China)","institution_ids":["https://openalex.org/I46520130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100583240","display_name":"Song Ye","orcid":"https://orcid.org/0009-0003-6086-373X","observed_orcids":["https://orcid.org/0009-0003-6086-373X"]},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Ye","raw_affiliation_strings":["Chaohu Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chaohu Univ. (China)","institution_ids":["https://openalex.org/I46520130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113115313","display_name":"Song Yuan","orcid":"https://orcid.org/0009-0004-3166-6654","observed_orcids":["https://orcid.org/0009-0004-3166-6654"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song Yuan","raw_affiliation_strings":["Anhui Meteorological Observatory (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Meteorological Observatory (China)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015746049","display_name":"Yun Jiang","orcid":"https://orcid.org/0000-0002-7250-3729","observed_orcids":["https://orcid.org/0000-0002-7250-3729"]},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Jiang","raw_affiliation_strings":["Chaohu Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chaohu Univ. (China)","institution_ids":["https://openalex.org/I46520130"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3873,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77836213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","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"}},"topics":[{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.000699999975040555,"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/T10347","display_name":"Atmospheric aerosols and clouds","score":0.00039999998989515007,"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/precipitation-estimation","display_name":"precipitation estimation","score":0.8230000138282776},{"id":"https://openalex.org/keywords/infrared-brightness-temperature","display_name":"infrared brightness temperature","score":0.871999979019165},{"id":"https://openalex.org/keywords/fengyun-4a","display_name":"Fengyun-4A","score":0.953000009059906},{"id":"https://openalex.org/keywords/geostationary-satellites","display_name":"geostationary satellites","score":0.7820000052452087},{"id":"https://openalex.org/keywords/imerg","display_name":"IMERG","score":0.625},{"id":"https://openalex.org/keywords/random-forest-regression","display_name":"random forest regression","score":0.6349999904632568},{"id":"https://openalex.org/keywords/inverse-problem-regularization","display_name":"inverse problem regularization","score":0.9700000286102295},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.871999979019165},{"id":"https://openalex.org/keywords/extreme-precipitation","display_name":"heavy rainfall","score":0.5460000038146973}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6389666199684143},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.5987672805786133},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5881875157356262},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5287924408912659},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5275366306304932},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.5265672206878662},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.5219985246658325},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5185885429382324},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4447333812713623},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4075776934623718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37471407651901245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19150537252426147},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15626439452171326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14414578676223755},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09254029393196106},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07576969265937805},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2682809","doi":"https://doi.org/10.1117/12.2682809","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2682809","pdf_url":null,"source":{"id":"https://openalex.org/S7407104989","display_name":"Conference on Space, Atmosphere, Marine, and Environmental Optics (SAME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5351999998092651,"display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391649978","https://openalex.org/W4403938821","https://openalex.org/W4296656392","https://openalex.org/W4405778671","https://openalex.org/W6960015058","https://openalex.org/W4393945087","https://openalex.org/W4407316585","https://openalex.org/W3185606407","https://openalex.org/W3139367010","https://openalex.org/W4225571886"],"abstract_inverted_index":{"In":[0],"this":[1,132],"paper,":[2],"based":[3,194],"on":[4,22,195],"the":[5,11,20,42,54,65,71,79,91,105,111,134,151,163,172,179,182,185,196,205,211],"infrared":[6,49],"channel":[7,50],"brightness":[8,45,51],"temperature":[9,46,52],"from":[10],"advanced":[12],"geosynchronous":[13],"radiation":[14],"imager":[15],"(AGRI)":[16],"of":[17,25,32,44,47,90,140,191,204],"FengYun-4A":[18],"satellite,":[19],"research":[21],"quantitative":[23],"estimation":[24,34,113,139,153,193],"precipitation":[26,33,61,72,103,112,128,138,152,192,213],"is":[27,62,102,114,167,181,200],"carried":[28,145],"out.":[29,146],"The":[30,147,189],"algorithm":[31],"can":[35],"be":[36,108],"divided":[37],"into":[38],"three":[39],"steps.":[40],"Firstly,":[41],"dictionary":[43],"FY-4A/AGRI":[48],"and":[53,81,95,120,141],"integrated":[55],"multi-satellite":[56],"retrievals":[57],"for":[58,127,137,184],"GPM":[59],"(IMERG)":[60],"constructed":[63],"as":[64,159,175],"historical":[66],"training":[67],"sample":[68],"library.":[69],"Secondly,":[70],"FOVs":[73],"are":[74,85,125,144],"identified.":[75],"As":[76],"prior":[77,160],"information,":[78,177],"IMERG":[80,173],"ice":[82,156],"cloud":[83,157],"products":[84,158,174],"coupled":[86],"to":[87,98,107],"classification":[88],"models":[89],"K-nearest":[92],"neighbor":[93],"(KNN)":[94],"random":[96,121,186,197],"forest":[97,122,187,198],"determine":[99],"whether":[100],"there":[101],"at":[104],"FOV":[106],"estimated.":[109],"Finally,":[110],"performed.":[115],"Inverse":[116],"problem":[117,165,207],"regularization":[118,166],"method":[119,199],"regression":[123],"model":[124],"used":[126],"estimation,":[129],"respectively.":[130],"On":[131],"basis,":[133],"preliminary":[135],"experiments":[136],"\"Ampil":[142],"(2018)\"":[143],"results":[148],"show":[149],"that":[150,170,203],"accuracy":[154,190],"with":[155,171],"information":[161],"through":[162],"inverse":[164,206],"better":[168,201],"than":[169,202],"priori":[176],"while":[178],"conclusion":[180],"opposite":[183],"method.":[188],"regularization,":[208],"especially":[209],"in":[210],"\"extreme\"":[212],"center.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2023-05-25T00:00:00"}