{"id":"https://openalex.org/W4389722511","doi":"https://doi.org/10.1109/lgrs.2023.3342976","title":"A Novel Adaptive Rain-Induced Attenuation Model Based on Clustering Algorithm for Commercial Microwave Link-Based Rainfall Inversion","display_name":"A Novel Adaptive Rain-Induced Attenuation Model Based on Clustering Algorithm for Commercial Microwave Link-Based Rainfall Inversion","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4389722511","doi":"https://doi.org/10.1109/lgrs.2023.3342976"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3342976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3342976","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5048194454","display_name":"Kang Pu","orcid":"https://orcid.org/0000-0002-7684-9102"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Pu","raw_affiliation_strings":["College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","High Impact Weather Key Laboratory of CMA, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7684-9102","affiliations":[{"raw_affiliation_string":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"High Impact Weather Key Laboratory of CMA, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040000754","display_name":"Xichuan Liu","orcid":"https://orcid.org/0000-0002-3393-3988"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xichuan Liu","raw_affiliation_strings":["College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","High Impact Weather Key Laboratory of CMA, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3393-3988","affiliations":[{"raw_affiliation_string":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"High Impact Weather Key Laboratory of CMA, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349600","display_name":"Liu L","orcid":"https://orcid.org/0000-0002-9330-4315"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","High Impact Weather Key Laboratory of CMA, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9330-4315","affiliations":[{"raw_affiliation_string":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"High Impact Weather Key Laboratory of CMA, Changsha, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066811384","display_name":"Yingcheng Zhao","orcid":"https://orcid.org/0000-0002-3744-820X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingcheng Zhao","raw_affiliation_strings":["College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","High Impact Weather Key Laboratory of CMA, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3744-820X","affiliations":[{"raw_affiliation_string":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"High Impact Weather Key Laboratory of CMA, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.1371,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42026456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","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/T11234","display_name":"Precipitation Measurement and Analysis","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/T13121","display_name":"Radio Wave Propagation Studies","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5177637338638306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5057492256164551},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4878978431224823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3188183307647705}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5177637338638306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5057492256164551},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4878978431224823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3188183307647705}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3342976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3342976","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G5531696331","display_name":null,"funder_award_id":"42222505","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G627641902","display_name":null,"funder_award_id":"2021JJ20046","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2019099524","https://openalex.org/W2034563918","https://openalex.org/W2062656075","https://openalex.org/W2082171076","https://openalex.org/W2098734515","https://openalex.org/W2121714877","https://openalex.org/W2211722991","https://openalex.org/W2773928770","https://openalex.org/W2806576895","https://openalex.org/W2887342663","https://openalex.org/W3014265213","https://openalex.org/W4235244715"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461"],"abstract_inverted_index":{"In":[0,99],"this":[1,38],"paper,":[2],"a":[3,19,58,70],"novel":[4],"adaptive":[5],"rain-induced":[6],"attenuation-rain":[7],"rate":[8],"(A-R)":[9],"relationship":[10],"model":[11],"is":[12,15,40],"proposed,":[13],"which":[14,137],"built":[16],"based":[17,29],"on":[18,30,106,125],"clustering":[20],"algorithm":[21],"to":[22,133],"improve":[23],"the":[24,65,74,94,101,109,120,126,135],"accuracy":[25],"of":[26,37,52,88,93,103,111,123,128],"rainfall":[27,130],"inversion":[28,127],"commercial":[31],"microwave":[32],"link":[33],"(CML).":[34],"The":[35,61],"performance":[36,72,110,145],"adaptiveA-Rrelationship":[39,68],"systematically":[41],"evaluated":[42],"at":[43,91],"eight":[44],"common":[45],"CML":[46],"operating":[47],"frequencies":[48],"with":[49],"five":[50],"years":[51],"raindrop":[53],"size":[54],"distribution":[55],"data":[56],"from":[57],"PARSIVEL":[59],"disdrometer.":[60],"results":[62],"show":[63],"that":[64,139],"overall":[66],"single-frequency":[67],"has":[69],"better":[71],"than":[73],"ITU-R":[75],"and":[76,96,108],"local":[77],"fittingA-Rrelationships":[78],"(lower":[79],"root":[80],"mean":[81],"square":[82],"error,":[83],"relative":[84,121],"bias":[85],"(an":[86],"improvement":[87],"around":[89],"10%":[90],"several":[92],"frequencies),":[95],"significant":[97],"unbiasedness).":[98],"addition,":[100],"effect":[102],"cluster":[104],"number":[105],"theA-Rrelationship":[107],"dual-frequency":[112],"or":[113],"dual-polarization":[114],"adaptiveA-Rrelationships":[115],"are":[116,131],"also":[117],"discussed.":[118],"Finally,":[119],"errors":[122],"theseA-Rrelationships":[124],"cumulative":[129],"depicted":[132],"visualize":[134],"performance,":[136],"demonstrate":[138],"certain":[140],"single/dual-frequency":[141],"adaptiveA-Rmodels":[142],"have":[143],"good":[144],"in":[146],"most":[147],"cases.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
