{"id":"https://openalex.org/W4416798309","doi":"https://doi.org/10.1109/tgrs.2025.3638351","title":"Intelligent Detection of Turbulence Dissipation Rates From Radar Wind Profiler by Machine Learning Algorithms","display_name":"Intelligent Detection of Turbulence Dissipation Rates From Radar Wind Profiler by Machine Learning Algorithms","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416798309","doi":"https://doi.org/10.1109/tgrs.2025.3638351"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3638351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3638351","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/A5101550692","display_name":"Boming Liu","orcid":"https://orcid.org/0000-0002-3443-2261"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boming Liu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3443-2261","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068048071","display_name":"Jianping Guo","orcid":"https://orcid.org/0000-0001-8530-8976"},"institutions":[{"id":"https://openalex.org/I4210133131","display_name":"Chinese Academy of Meteorological Sciences","ror":"https://ror.org/034b53w38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210133131"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Guo","raw_affiliation_strings":["State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8530-8976","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210133131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012576415","display_name":"Xin Ma","orcid":"https://orcid.org/0000-0002-0969-2838"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ma","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0969-2838","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024075176","display_name":"Deli Meng","orcid":"https://orcid.org/0000-0002-2275-9427"},"institutions":[{"id":"https://openalex.org/I4210133131","display_name":"Chinese Academy of Meteorological Sciences","ror":"https://ror.org/034b53w38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210133131"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deli Meng","raw_affiliation_strings":["State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210133131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023898344","display_name":"Zhe Tong","orcid":"https://orcid.org/0000-0003-0003-4115"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Tong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0003-4115","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035689560","display_name":"Yingying Ma","orcid":"https://orcid.org/0000-0003-0270-2324"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Ma","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100650782","display_name":"Wei Gong","orcid":"https://orcid.org/0000-0002-2276-8024"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2276-8024","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36611226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.8191999793052673,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.8191999793052673,"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/T11484","display_name":"Adaptive optics and wavefront sensing","score":0.04390000179409981,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.02290000021457672,"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/anemometer","display_name":"Anemometer","score":0.7188000082969666},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6353999972343445},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.5776000022888184},{"id":"https://openalex.org/keywords/planetary-boundary-layer","display_name":"Planetary boundary layer","score":0.5126000046730042},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.45509999990463257},{"id":"https://openalex.org/keywords/dissipation","display_name":"Dissipation","score":0.42149999737739563},{"id":"https://openalex.org/keywords/wind-profiler","display_name":"Wind profiler","score":0.3824999928474426},{"id":"https://openalex.org/keywords/turbulence-kinetic-energy","display_name":"Turbulence kinetic energy","score":0.3456000089645386}],"concepts":[{"id":"https://openalex.org/C127882809","wikidata":"https://www.wikidata.org/wiki/Q175029","display_name":"Anemometer","level":3,"score":0.7188000082969666},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6353999972343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.60589998960495},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.5776000022888184},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5558000206947327},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5228000283241272},{"id":"https://openalex.org/C86338904","wikidata":"https://www.wikidata.org/wiki/Q1757268","display_name":"Planetary boundary layer","level":3,"score":0.5126000046730042},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.45509999990463257},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4530999958515167},{"id":"https://openalex.org/C135402231","wikidata":"https://www.wikidata.org/wiki/Q898440","display_name":"Dissipation","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4041000008583069},{"id":"https://openalex.org/C2778913063","wikidata":"https://www.wikidata.org/wiki/Q1756324","display_name":"Wind profiler","level":3,"score":0.3824999928474426},{"id":"https://openalex.org/C15476950","wikidata":"https://www.wikidata.org/wiki/Q7854776","display_name":"Turbulence kinetic energy","level":3,"score":0.3456000089645386},{"id":"https://openalex.org/C2779919027","wikidata":"https://www.wikidata.org/wiki/Q62832","display_name":"Observatory","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C3019432306","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Atmospheric turbulence","level":3,"score":0.3221000134944916},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C111603439","wikidata":"https://www.wikidata.org/wiki/Q752193","display_name":"Boundary layer","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C107775477","wikidata":"https://www.wikidata.org/wiki/Q1057900","display_name":"Wind direction","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.2671999931335449},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3638351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3638351","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":[],"awards":[{"id":"https://openalex.org/G206170697","display_name":null,"funder_award_id":"2024YFC3013001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G300541589","display_name":null,"funder_award_id":"42325501","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4625215681","display_name":null,"funder_award_id":"42171464","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":37,"referenced_works":["https://openalex.org/W28168449","https://openalex.org/W1613084453","https://openalex.org/W1667277804","https://openalex.org/W1979935829","https://openalex.org/W1999233350","https://openalex.org/W2003205648","https://openalex.org/W2048857355","https://openalex.org/W2151277668","https://openalex.org/W2158158078","https://openalex.org/W2442256680","https://openalex.org/W2485845099","https://openalex.org/W2495427298","https://openalex.org/W2529148947","https://openalex.org/W2598508992","https://openalex.org/W2750902785","https://openalex.org/W2798228685","https://openalex.org/W2968894603","https://openalex.org/W3080823251","https://openalex.org/W3084822403","https://openalex.org/W3087330307","https://openalex.org/W4214947762","https://openalex.org/W4220844741","https://openalex.org/W4288061649","https://openalex.org/W4322732026","https://openalex.org/W4323845412","https://openalex.org/W4385458925","https://openalex.org/W4386497166","https://openalex.org/W4387740883","https://openalex.org/W4388125406","https://openalex.org/W4392543787","https://openalex.org/W4393936125","https://openalex.org/W4401070604","https://openalex.org/W4401399958","https://openalex.org/W4404413510","https://openalex.org/W4409872420","https://openalex.org/W4411870033","https://openalex.org/W4413196123"],"related_works":[],"abstract_inverted_index":{"The":[0,73,115,137,159,227],"accurate":[1,228],"estimation":[2],"of":[3,104,135,140,161,195,217,231,243],"atmospheric":[4,15,244],"turbulence":[5,109,201,211,249],"dissipation":[6],"rate":[7],"(\u03b5)":[8],"is":[9,118,155,175,181,197,207],"crucial":[10],"for":[11,219,239],"better":[12],"characterizing":[13],"the":[14,20,25,29,40,48,85,102,105,123,141,151,178,193,204,214,241],"physical":[16,128,245],"processes":[17,246],"and":[18,66,81,112,130,146,150,169,180,188,221,247],"understanding":[19,242],"boundary":[21],"layer":[22],"structure.":[23],"Nevertheless,":[24],"\u03b5":[26,142,218,232],"derived":[27],"from":[28,79,90],"traditional":[30],"spectral":[31],"width":[32],"method":[33],"(SWM)":[34],"tends":[35],"to":[36,47,70,92,177],"be":[37],"overestimated":[38],"using":[39],"radar":[41],"wind":[42],"profiler":[43],"(RWP)":[44],"measurements,":[45],"due":[46],"non-turbulent":[49],"broadening":[50],"effects.":[51],"To":[52],"tackle":[53],"this":[54],"challenge,":[55],"here":[56],"we":[57],"propose":[58],"a":[59,96,127,236],"novel":[60],"intelligent":[61,229],"algorithm":[62],"that":[63,172,192],"combines":[64],"SWM":[65,106,179,196],"Random":[67],"Forest":[68],"(SWM-RF)":[69],"estimate":[71],"\u03b5.":[72],"experimental":[74],"data":[75],"were":[76],"synchronized":[77],"observations":[78],"RWP":[80],"meteorological":[82],"tower":[83],"at":[84],"Boulder":[86],"Atmospheric":[87],"Observatory":[88],"site":[89],"March":[91,220],"April":[93,222],"2015.":[94],"Firstly,":[95],"systematic":[97],"analysis":[98],"was":[99],"conducted":[100],"on":[101],"overestimation":[103,194],"under":[107,166,199],"different":[108,167],"intensity,":[110],"time,":[111],"height":[113,170,187],"scenarios.":[114,212],"SWM-RF":[116,147,173],"model":[117,174],"then":[119],"constructed":[120],"by":[121,184],"introducing":[122],"difference":[124],"function":[125],"as":[126],"constraint":[129],"combining":[131],"multiple":[132],"observation":[133],"parameters":[134],"RWP.":[136],"determination":[138],"coefficient":[139],"between":[143],"sonic":[144,164],"anemometers":[145,165],"reached":[148],"0.59,":[149],"mean":[152],"absolute":[153],"error":[154],"0.007":[156],"m\u00b2":[157],"s\u207b\u00b3.":[158],"comparison":[160],"results":[162],"with":[163],"times":[168],"indicates":[171],"superior":[176],"not":[182],"affected":[183],"variations":[185],"in":[186,209,223],"time.":[189],"Results":[190],"shows":[191],"reduced":[198],"strong":[200],"conditions,":[202],"while":[203],"correction":[205],"effect":[206],"poor":[208],"weak":[210],"Finally,":[213],"semi-diurnal":[215],"cycles":[216],"2015":[224],"are":[225],"analyzed.":[226],"detection":[230],"profiles":[233],"will":[234],"lay":[235],"solid":[237],"foundation":[238],"advancing":[240],"improving":[248],"parameterization.":[250]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-28T00:00:00"}
