{"id":"https://openalex.org/W2941056923","doi":"https://doi.org/10.3390/rs11080966","title":"Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors","display_name":"Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors","publication_year":2019,"publication_date":"2019-04-23","ids":{"openalex":"https://openalex.org/W2941056923","doi":"https://doi.org/10.3390/rs11080966","mag":"2941056923"},"language":"en","primary_location":{"id":"doi:10.3390/rs11080966","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11080966","pdf_url":"https://www.mdpi.com/2072-4292/11/8/966/pdf?version=1555999290","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/8/966/pdf?version=1555999290","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006254923","display_name":"Pedro Benevides","orcid":"https://orcid.org/0000-0001-5858-6815"},"institutions":[{"id":"https://openalex.org/I4210139786","display_name":"Dire\u00e7\u00e3o Geral do Territ\u00f3rio","ror":"https://ror.org/04n0kzv11","country_code":"PT","type":"government","lineage":["https://openalex.org/I4210139786"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Pedro Benevides","raw_affiliation_strings":["Dire\u00e7\u00e3o-Geral do Territ\u00f3rio (DGT), 1099-052 Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Dire\u00e7\u00e3o-Geral do Territ\u00f3rio (DGT), 1099-052 Lisbon, Portugal","institution_ids":["https://openalex.org/I4210139786"]}]},{"author_position":"middle","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":"Joao Catalao","raw_affiliation_strings":["Instituto Dom Luiz (IDL), Faculdade de Ci\u00eancias, Universidade de Lisboa, 1749-016 Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto Dom Luiz (IDL), Faculdade de Ci\u00eancias, Universidade de Lisboa, 1749-016 Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032552944","display_name":"Giovanni Nico","orcid":"https://orcid.org/0000-0001-7621-5014"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]},{"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","RU"],"is_corresponding":false,"raw_author_name":"Giovanni Nico","raw_affiliation_strings":["Department of Cartography and Geoinformatics, Institute of Earth Sciences, State University (SPSU), 199034 Saint Petersburg, Russia","Istituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche (CNR), 70126 Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Cartography and Geoinformatics, Institute of Earth Sciences, State University (SPSU), 199034 Saint Petersburg, Russia","institution_ids":["https://openalex.org/I172901346"]},{"raw_affiliation_string":"Istituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche (CNR), 70126 Bari, Italy","institution_ids":["https://openalex.org/I4210106125"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006254923"],"corresponding_institution_ids":["https://openalex.org/I4210139786"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":90.0674,"has_fulltext":true,"cited_by_count":93,"citation_normalized_percentile":{"value":0.9987574,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"11","issue":"8","first_page":"966","last_page":"966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.9998000264167786,"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/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"}},{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9968000054359436,"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/environmental-science","display_name":"Environmental science","score":0.7437602281570435},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.6359438300132751},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.616520345211029},{"id":"https://openalex.org/keywords/precipitable-water","display_name":"Precipitable water","score":0.6160255670547485},{"id":"https://openalex.org/keywords/water-vapor","display_name":"Water vapor","score":0.5029882788658142},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4386807084083557},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.4373301565647125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24791666865348816},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.11859896779060364},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10156652331352234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09699040651321411},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06472983956336975}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7437602281570435},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.6359438300132751},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.616520345211029},{"id":"https://openalex.org/C156008332","wikidata":"https://www.wikidata.org/wiki/Q778526","display_name":"Precipitable water","level":3,"score":0.6160255670547485},{"id":"https://openalex.org/C147534773","wikidata":"https://www.wikidata.org/wiki/Q190120","display_name":"Water vapor","level":2,"score":0.5029882788658142},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4386807084083557},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.4373301565647125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24791666865348816},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.11859896779060364},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10156652331352234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09699040651321411},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06472983956336975}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11080966","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11080966","pdf_url":"https://www.mdpi.com/2072-4292/11/8/966/pdf?version=1555999290","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9ab693ad0f3645928e2d228fb0f3edec","is_oa":true,"landing_page_url":"https://doaj.org/article/9ab693ad0f3645928e2d228fb0f3edec","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 8, p 966 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/8/966/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11080966","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 8; Pages: 966","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11080966","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11080966","pdf_url":"https://www.mdpi.com/2072-4292/11/8/966/pdf?version=1555999290","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1886981331","display_name":null,"funder_award_id":"project UID","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G2582522631","display_name":null,"funder_award_id":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3604694808","display_name":null,"funder_award_id":"UID/GEO/50019/2019.","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"},{"id":"https://openalex.org/F4320335725","display_name":"Instituto Dom Luiz, Universidade de Lisboa","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2941056923.pdf","grobid_xml":"https://content.openalex.org/works/W2941056923.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W24874166","https://openalex.org/W1485009520","https://openalex.org/W1599935801","https://openalex.org/W1965744039","https://openalex.org/W1969322008","https://openalex.org/W1978870573","https://openalex.org/W1986984027","https://openalex.org/W1996150433","https://openalex.org/W2031892331","https://openalex.org/W2056106460","https://openalex.org/W2074416932","https://openalex.org/W2084678032","https://openalex.org/W2099399987","https://openalex.org/W2103452139","https://openalex.org/W2112306707","https://openalex.org/W2112362638","https://openalex.org/W2124251285","https://openalex.org/W2151761453","https://openalex.org/W2158638608","https://openalex.org/W2194644153","https://openalex.org/W2334536281","https://openalex.org/W2411271963","https://openalex.org/W2562918333","https://openalex.org/W2757163858","https://openalex.org/W2790448783","https://openalex.org/W2793913504","https://openalex.org/W2795624920","https://openalex.org/W2808307112","https://openalex.org/W2810924594","https://openalex.org/W2819674488","https://openalex.org/W6601052154"],"related_works":["https://openalex.org/W2081618251","https://openalex.org/W2361124706","https://openalex.org/W2386175231","https://openalex.org/W1978270289","https://openalex.org/W2363586317","https://openalex.org/W2377665953","https://openalex.org/W4386936491","https://openalex.org/W3007931018","https://openalex.org/W4205782423","https://openalex.org/W1972914191"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,14,50,124,150,190,201],"methodology":[4,174],"for":[5,68,210,221,233,247],"the":[6,18,75,108,134,162,169,176,184,211,215,234,248],"short-term":[7],"forecast":[8,70,168],"of":[9,20,56,87,127,136,178,186,205,219],"intense":[10,179,222],"rainfall":[11,114,180],"based":[12],"on":[13,97],"neural":[15,154],"network":[16,155],"and":[17,23,27,44,82,115,164,182,200],"integration":[19],"Global":[21],"Navigation":[22],"Positioning":[24],"System":[25],"(GNSS)":[26],"meteorological":[28,52,76,165],"data.":[29],"Precipitable":[30],"water":[31],"vapor":[32],"(PWV)":[33],"derived":[34],"from":[35,49,59,74,195],"GNSS":[36,57,163],"is":[37,111,158,231],"combined":[38],"with":[39,113,189,226,254],"surface":[40,42],"pressure,":[41],"temperature":[43],"relative":[45],"humidity":[46],"obtained":[47,232],"continuously":[48],"ground-based":[51],"station.":[53,77],"Five":[54],"years":[55,213],"data":[58,86,166],"one":[60],"station":[61],"in":[62,214],"Lisbon,":[63],"Portugal,":[64],"are":[65,71,91],"processed.":[66],"Data":[67],"precipitation":[69],"also":[72,92,240],"collected":[73],"Spaceborne":[78],"Spinning":[79],"Enhanced":[80],"Visible":[81],"Infrared":[83],"Imager":[84],"(SEVIRI)":[85],"cloud":[88],"top":[89],"measurements":[90],"gathered,":[93],"providing":[94],"collocated":[95],"information":[96,142],"an":[98,242],"hourly":[99,170],"basis.":[100],"In":[101,147],"previous":[102],"studies":[103],"it":[104],"was":[105],"found":[106],"that":[107,133],"time-varying":[109],"PWV":[110,137],"correlated":[112],"can":[116],"be":[117],"used":[118,159],"to":[119,143,160,167,198,208,256],"detected":[120],"heavy":[121],"rain.":[122,146],"However,":[123],"significant":[125],"number":[126,185],"false":[128,187,202,228,258],"positives":[129],"were":[130],"found,":[131],"meaning":[132],"evolution":[135],"does":[138],"not":[139],"contain":[140],"enough":[141],"infer":[144],"future":[145],"this":[148],"work,":[149],"nonlinear":[151],"autoregressive":[152],"exogenous":[153],"model":[156],"(NARX)":[157],"process":[161],"precipitation.":[171],"The":[172,238],"proposed":[173],"improves":[175],"detection":[177],"events":[181,224],"reduces":[183],"positives,":[188],"good":[191],"classification":[192,225],"score":[193,218],"varying":[194],"63%":[196],"up":[197],"72%":[199],"positive":[203,229],"rate":[204,230,246],"36%":[206],"down":[207],"21%,":[209],"tested":[212],"dataset.":[216],"A":[217],"64%":[220],"rain":[223,249,252],"22%":[227],"most":[235],"recent":[236],"years.":[237],"method":[239],"achieves":[241],"almost":[243],"100%":[244],"hit":[245],"vs":[250],"no":[251,257],"detection,":[253],"close":[255],"alarms.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2019-05-03T00:00:00"}