{"id":"https://openalex.org/W2054601869","doi":"https://doi.org/10.1109/tgrs.2012.2207904","title":"Prior Selection for QuikSCAT Ultra-High Resolution Wind and Rain Retrieval","display_name":"Prior Selection for QuikSCAT Ultra-High Resolution Wind and Rain Retrieval","publication_year":2012,"publication_date":"2012-08-21","ids":{"openalex":"https://openalex.org/W2054601869","doi":"https://doi.org/10.1109/tgrs.2012.2207904","mag":"2054601869"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2012.2207904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2207904","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/A5043086785","display_name":"Michael P. Owen","orcid":null},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]},{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael P. Owen","raw_affiliation_strings":["Brigham Young University, Provo, UT, USA","MIT Lincoln Laboratory, Lexington, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]},{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079925208","display_name":"David G. Long","orcid":"https://orcid.org/0000-0002-1852-3972"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David G. Long","raw_affiliation_strings":["Microwave Remote Sensing Laboratory, Brigham Young University, Provo, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microwave Remote Sensing Laboratory, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3001,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65081624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"51","issue":"3","first_page":"1555","last_page":"1567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9986000061035156,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9983000159263611,"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/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9970999956130981,"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/estimator","display_name":"Estimator","score":0.7623645067214966},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6903207898139954},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6238059997558594},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5501417517662048},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.4392159581184387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4182812571525574},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3629114329814911},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.347573459148407},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.332133948802948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24343600869178772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09331128001213074},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08680537343025208},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06601867079734802}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7623645067214966},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6903207898139954},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6238059997558594},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5501417517662048},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.4392159581184387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4182812571525574},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3629114329814911},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.347573459148407},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.332133948802948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24343600869178772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09331128001213074},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08680537343025208},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06601867079734802}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2012.2207904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2207904","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.391.7782","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.7782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mers.byu.edu/long/papers/TGARS2013Owen.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7099999785423279,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W64694251","https://openalex.org/W434934925","https://openalex.org/W2020717469","https://openalex.org/W2029027380","https://openalex.org/W2040678194","https://openalex.org/W2047756169","https://openalex.org/W2106631517","https://openalex.org/W2107982224","https://openalex.org/W2111844847","https://openalex.org/W2115428288","https://openalex.org/W2118253779","https://openalex.org/W2125817351","https://openalex.org/W2133091409","https://openalex.org/W2137771058","https://openalex.org/W2138000546","https://openalex.org/W2139848985","https://openalex.org/W2147381362","https://openalex.org/W2152646620","https://openalex.org/W2160812412","https://openalex.org/W2178103172","https://openalex.org/W2887451669"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4287880334","https://openalex.org/W3125536267","https://openalex.org/W2274645452","https://openalex.org/W1999706086","https://openalex.org/W2521753262","https://openalex.org/W2088241642","https://openalex.org/W2348064372","https://openalex.org/W4283017276","https://openalex.org/W2018410291"],"abstract_inverted_index":{"QuikSCAT":[0,87],"was":[1],"designed":[2],"for":[3,35,62,74],"ocean":[4],"wind":[5,9,26,64,76,113,153,172],"retrieval.":[6],"However,":[7],"its":[8],"estimation":[10,18,47,72,173],"performance":[11,131,174],"is":[12],"limited":[13],"in":[14],"rainy":[15,156],"conditions.":[16],"Several":[17],"techniques":[19,73,126],"have":[20],"been":[21,60],"proposed:":[22],"wind-only":[23],"(WO),":[24],"simultaneous":[25],"and":[27,30,93,100,105,114,158,182,188,201],"rain":[28,39,51,115,160],"(SWR),":[29],"rain-only,":[31],"which":[32,192],"are":[33,193],"appropriate":[34],"different":[36],"levels":[37],"of":[38,45,112,121,136,152,168,197],"contamination.":[40],"To":[41],"exploit":[42,108],"the":[43,70,82,119,134,138,176,198],"strengths":[44],"each":[46,75],"method":[48],"at":[49],"mitigating":[50],"contamination,":[52],"a":[53],"Bayes":[54],"estimator":[55,122,129,148],"selection":[56,99,104,130,149],"(BES)":[57],"technique":[58,178],"has":[59,179],"developed":[61],"25-km":[63],"products":[65,92],"to":[66,86,96,117],"select":[67],"from":[68],"among":[69],"several":[71],"vector":[77],"cell.":[78],"This":[79],"paper":[80],"adapts":[81],"BES":[83,95],"concept":[84],"[1]":[85],"ultra-high":[88],"resolution":[89],"(UHR)":[90],"2.5-km,":[91],"extends":[94],"include":[97],"prior":[98],"noise":[101,106],"reduction.":[102],"Prior":[103],"reduction":[107],"general":[109],"spatial":[110],"characteristics":[111],"fields":[116],"improve":[118],"accuracy":[120],"selections.":[123],"Together":[124],"these":[125],"enable":[127],"improved":[128,180],"so":[132],"that":[133],"probability":[135],"selecting":[137],"estimate":[139],"with":[140,175],"minimum":[141],"squared":[142],"error":[143],"approaches":[144],"optimal":[145],"levels.":[146],"Optimal":[147],"reduces":[150],"variability":[151],"estimates":[154,161],"during":[155],"conditions":[157],"provides":[159],"when":[162],"possible":[163],"without":[164],"using":[165],"additional":[166],"sources":[167],"information.":[169],"Overall,":[170],"UHR":[171,199,202],"new":[177],"bias":[181],"root":[183],"mean-squared":[184],"error,":[185],"-0.16":[186],"m/s":[187],"2.15":[189],"m/s,":[190],"respectively,":[191],"lower":[194],"than":[195],"either":[196],"WO":[200],"SWR":[203],"estimates.":[204]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
