{"id":"https://openalex.org/W2171016280","doi":"https://doi.org/10.1109/igarss.2002.1026854","title":"Global ocean wind fields from SAR data using scatterometer models and neural networks","display_name":"Global ocean wind fields from SAR data using scatterometer models and neural networks","publication_year":2003,"publication_date":"2003-10-01","ids":{"openalex":"https://openalex.org/W2171016280","doi":"https://doi.org/10.1109/igarss.2002.1026854","mag":"2171016280"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1026854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5050788165","display_name":"Jochen Horstmann","orcid":"https://orcid.org/0000-0002-7979-5736"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Horstmann","raw_affiliation_strings":["GKSS Research Centre GmbH, Geesthacht, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GKSS Research Centre GmbH, Geesthacht, Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038494187","display_name":"Susanne Lehner","orcid":"https://orcid.org/0000-0001-7542-9686"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S. Lehner","raw_affiliation_strings":["German Aerospace Center, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Aerospace Center, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4117,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80350045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"3014","last_page":"3016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":1.0,"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":1.0,"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/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9983999729156494,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scatterometer","display_name":"Scatterometer","score":0.8384332656860352},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7184092402458191},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.6052377223968506},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5903244614601135},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5433067679405212},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.46753475069999695},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.42733675241470337},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.42273151874542236},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.37466827034950256},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3709610402584076},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36257150769233704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.25302523374557495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12741822004318237},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09693178534507751}],"concepts":[{"id":"https://openalex.org/C2776212561","wikidata":"https://www.wikidata.org/wiki/Q905295","display_name":"Scatterometer","level":3,"score":0.8384332656860352},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7184092402458191},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6052377223968506},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5903244614601135},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5433067679405212},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.46753475069999695},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.42733675241470337},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.42273151874542236},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.37466827034950256},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3709610402584076},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36257150769233704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25302523374557495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12741822004318237},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09693178534507751},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2002.1026854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W174054073","https://openalex.org/W1996061146","https://openalex.org/W2028300352","https://openalex.org/W2030836967","https://openalex.org/W2065318459","https://openalex.org/W2102253688","https://openalex.org/W2110566517","https://openalex.org/W2116667009","https://openalex.org/W2153881800","https://openalex.org/W2160488610","https://openalex.org/W2171016280","https://openalex.org/W6607094733","https://openalex.org/W6666744327"],"related_works":["https://openalex.org/W2546488237","https://openalex.org/W1589762804","https://openalex.org/W3006474185","https://openalex.org/W3000499464","https://openalex.org/W2068845235","https://openalex.org/W2585691118","https://openalex.org/W2097761609","https://openalex.org/W2068843146","https://openalex.org/W2462749609","https://openalex.org/W1969081089"],"abstract_inverted_index":{"Three":[0],"weeks":[1],"of":[2,11,15,55,73,91,112,130,135,145,151,171,186,191,201],"ERS-2":[3,93,107,124,178],"SAR":[4,13,40,50,80,96,152,168,174],"wave":[5],"mode":[6],"data,":[7],"representing":[8],"a":[9,31,89,128,133,140,154,184,189,196],"total":[10],"34000":[12],"images":[14],"5":[16],"km":[17,21],"/spl":[18],"times/":[19],"10":[20],"size,":[22],"were":[23],"utilized":[24],"to":[25,102,123,162,177],"verify":[26],"wind":[27,98,164,175,180],"retrieval":[28],"algorithms":[29],"on":[30,76],"global":[32],"basis.":[33],"Wind":[34],"speeds":[35,99,165,176,181],"are":[36,82,100],"retrieved":[37,173],"from":[38,105,166],"calibrated":[39,57],"normalized":[41],"radar":[42],"cross":[43],"section":[44],"(NRCS)":[45],"as":[46,48],"well":[47],"uncalibrated":[49,167],"intensity":[51],"images.":[52,169],"In":[53,149],"case":[54,150],"the":[56,59,71,74,79,106,113],"NRCS":[58,75],"well-tested":[60],"empirical":[61],"C-band":[62],"scatterometer":[63],"(SCAT)":[64],"model":[65,110],"CMOD4":[66],"is":[67,85,158],"used,":[68],"which":[69,84],"describes":[70],"dependency":[72],"wind.":[77],"Therefore":[78],"data":[81],"calibrated,":[83],"performed":[86],"by":[87],"utilizing":[88],"subset":[90],"co-located":[92,103],"SCAT":[94,108,125,179],"data.":[95],"derived":[97],"compared":[101],"winds":[104],"and":[109,139,195],"results":[111,126],"European":[114],"Centre":[115],"for":[116],"Medium-range":[117],"Weather":[118],"Forecast":[119],"(ECMWF).":[120],"The":[121],"comparison":[122],"in":[127,183],"correlation":[129,185],"0.95":[131],"with":[132,188],"bias":[134,190],"-0.01":[136],"ms/sup":[137,147,193,203],"-1/":[138,194],"root":[141,197],"mean":[142,198],"square":[143,199],"error":[144,200],"1.0":[146],"-1/.":[148,204],"intensities":[153],"Neural":[155],"Network":[156],"(NN)":[157],"used":[159],"that":[160],"allows":[161],"retrieve":[163],"Comparison":[170],"NN":[172],"result":[182],"0.96":[187],"-0.04":[192],"0.93":[202]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
