{"id":"https://openalex.org/W4387801844","doi":"https://doi.org/10.1109/igarss52108.2023.10283122","title":"INSAR vs GNSS Meteorology: How Important is the Spatial Density of Measurements?","display_name":"INSAR vs GNSS Meteorology: How Important is the Spatial Density of Measurements?","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387801844","doi":"https://doi.org/10.1109/igarss52108.2023.10283122"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10283122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10283122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072169912","display_name":"Pedro Mateus","orcid":"https://orcid.org/0000-0001-8027-2142"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"P. Mateus","raw_affiliation_strings":["Universidade de Lisboa,Instituto Dom Luiz, Faculdade de Ciências,Lisbon,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Lisboa,Instituto Dom Luiz, Faculdade de Ciências,Lisbon,Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032552944","display_name":"Giovanni Nico","orcid":"https://orcid.org/0000-0001-7621-5014"},"institutions":[{"id":"https://openalex.org/I4210106125","display_name":"Istituto per le Applicazioni del Calcolo Mauro Picone","ror":"https://ror.org/00ygy3d85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210106125","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Nico","raw_affiliation_strings":["Istituto Per Le Applicazioni Del Calcolo (IAC), Consiglio Nazionale Delle Ricerche (CNR),Bari,Italy","Istituto Per Le Applicazioni Del Calcolo (IAC), Consiglio Nazionale Delle Ricerche (CNR), Bari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto Per Le Applicazioni Del Calcolo (IAC), Consiglio Nazionale Delle Ricerche (CNR),Bari,Italy","institution_ids":["https://openalex.org/I4210106125"]},{"raw_affiliation_string":"Istituto Per Le Applicazioni Del Calcolo (IAC), Consiglio Nazionale Delle Ricerche (CNR), Bari, Italy","institution_ids":["https://openalex.org/I4210106125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023008746","display_name":"Jo\u00e3o Catal\u00e3o","orcid":"https://orcid.org/0000-0003-1028-4644"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"J. Catal\u00e3o","raw_affiliation_strings":["Universidade de Lisboa,Instituto Dom Luiz, Faculdade de Ciências,Lisbon,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Lisboa,Instituto Dom Luiz, Faculdade de Ciências,Lisbon,Portugal","institution_ids":["https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3838","last_page":"3841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9993000030517578,"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/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9991999864578247,"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/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.8491842746734619},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.830264151096344},{"id":"https://openalex.org/keywords/weather-research-and-forecasting-model","display_name":"Weather Research and Forecasting Model","score":0.7805728316307068},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.643203854560852},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6180371046066284},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.583252489566803},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5431879758834839},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.486858069896698},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4599728584289551},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.3759427070617676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35587042570114136},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.31551146507263184},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2692456841468811},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2645013928413391},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09117293357849121}],"concepts":[{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.8491842746734619},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.830264151096344},{"id":"https://openalex.org/C133204551","wikidata":"https://www.wikidata.org/wiki/Q838305","display_name":"Weather Research and Forecasting Model","level":2,"score":0.7805728316307068},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.643203854560852},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6180371046066284},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.583252489566803},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5431879758834839},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.486858069896698},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4599728584289551},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.3759427070617676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35587042570114136},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.31551146507263184},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2692456841468811},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2645013928413391},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09117293357849121}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10283122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10283122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2041596810","https://openalex.org/W2106308468","https://openalex.org/W2161849646","https://openalex.org/W2177451271","https://openalex.org/W2514929747","https://openalex.org/W2589113175","https://openalex.org/W2790448783","https://openalex.org/W2915415967","https://openalex.org/W2951772479","https://openalex.org/W2982503897","https://openalex.org/W3014107409","https://openalex.org/W3121895775","https://openalex.org/W3171558647","https://openalex.org/W4221079893","https://openalex.org/W4249744610","https://openalex.org/W4294252997","https://openalex.org/W6764233206"],"related_works":["https://openalex.org/W4315472244","https://openalex.org/W3206958763","https://openalex.org/W4287886605","https://openalex.org/W2159160885","https://openalex.org/W2739937788","https://openalex.org/W2003109164","https://openalex.org/W1978360812","https://openalex.org/W4224248788","https://openalex.org/W4322208703","https://openalex.org/W4401289502"],"abstract_inverted_index":{"The":[0,24,49,88],"availability":[1],"of":[2,19,55,101,111,131,148,151],"C-band":[3],"Synthetic":[4],"Aperture":[5],"Radar":[6],"(SAR)":[7],"images":[8],"by":[9],"the":[10,17,53,56,70,106,118,132,141,145],"Sentinel-1":[11,57],"mission":[12,58],"every":[13],"six":[14],"days":[15],"boosts":[16],"concept":[18],"SAR":[20],"interferometry":[21],"(InSAR)":[22],"meteorology.":[23],"general":[25],"idea":[26],"involves":[27],"producing":[28],"integrated":[29],"water":[30,93],"vapor":[31,94],"maps":[32],"using":[33],"InSAR":[34,86,92],"and":[35],"assimilating":[36],"them":[37],"into":[38],"high-resolution":[39],"Numerical":[40],"Weather":[41],"Prediction":[42],"(NWP)":[43],"models":[44],"to":[45,60,85,96,143],"improve":[46],"precipitation":[47],"prediction.":[48],"temporal":[50],"resolution":[51],"is":[52,114,135],"disadvantage":[54],"compared":[59],"other":[61],"techniques":[62],"(e.g.,":[63],"GNSS).":[64],"Therefore,":[65],"this":[66],"study":[67,89],"focuses":[68],"on":[69],"minimum":[71],"inter-station":[72],"distance":[73],"below":[74],"which":[75],"a":[76],"dense":[77],"GNSS":[78,99,121],"network":[79],"can":[80],"catch":[81],"atmospheric":[82],"information":[83],"similar":[84],"maps.":[87],"uses":[90],"an":[91],"map":[95],"generate":[97],"synthetic":[98],"measurements":[100,150],"PWV.":[102,152],"Results":[103],"show":[104],"that":[105],"WRF":[107,133],"model's":[108],"correct":[109],"prediction":[110],"observed":[112,136],"rainfall":[113],"more":[115],"frequent":[116],"when":[117],"inter-distance":[119],"between":[120],"stations":[122],"becomes":[123],"smaller":[124],"than":[125],"20":[126],"km.":[127],"A":[128],"numerical":[129],"instability":[130],"results":[134],"at":[137],"shorter":[138],"distances,":[139],"indicating":[140],"need":[142],"handle":[144],"spatial":[146],"correlation":[147],"assimilated":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}