{"id":"https://openalex.org/W2591944971","doi":"https://doi.org/10.1177/0037549717692457","title":"Localized recursive spatial-temporal state quantification method for data assimilation of wildfire spread simulation","display_name":"Localized recursive spatial-temporal state quantification method for data assimilation of wildfire spread simulation","publication_year":2017,"publication_date":"2017-03-06","ids":{"openalex":"https://openalex.org/W2591944971","doi":"https://doi.org/10.1177/0037549717692457","mag":"2591944971"},"language":"en","primary_location":{"id":"doi:10.1177/0037549717692457","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549717692457","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","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/A5078359064","display_name":"Feng Gu","orcid":"https://orcid.org/0000-0001-5337-4282"},"institutions":[{"id":"https://openalex.org/I142393192","display_name":"College of Staten Island","ror":"https://ror.org/02p179j44","country_code":"US","type":"education","lineage":["https://openalex.org/I142393192"]},{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Feng Gu","raw_affiliation_strings":["Department of Computer Science, College of Staten Island, The City University of New York, Staten Island, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Staten Island, The City University of New York, Staten Island, NY, USA","institution_ids":["https://openalex.org/I142393192","https://openalex.org/I174216632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078359064"],"corresponding_institution_ids":["https://openalex.org/I142393192","https://openalex.org/I174216632"],"apc_list":null,"apc_paid":null,"fwci":0.5037,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63754715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"93","issue":"4","first_page":"343","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","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/T10466","display_name":"Meteorological Phenomena and Simulations","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/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9966999888420105,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/particle-filter","display_name":"Particle filter","score":0.8274625539779663},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.7558123469352722},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6843246221542358},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6542202234268188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6528699994087219},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5962609648704529},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5673226714134216},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5337425470352173},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4617808759212494},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36211517453193665},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.23633304238319397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20008116960525513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19541558623313904},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09716954827308655}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8274625539779663},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.7558123469352722},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6843246221542358},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6542202234268188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528699994087219},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5962609648704529},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5673226714134216},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5337425470352173},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4617808759212494},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36211517453193665},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.23633304238319397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20008116960525513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19541558623313904},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09716954827308655},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0037549717692457","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549717692457","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W619055504","https://openalex.org/W1483307070","https://openalex.org/W1531419578","https://openalex.org/W1582224092","https://openalex.org/W1596195796","https://openalex.org/W1749494163","https://openalex.org/W1840623725","https://openalex.org/W1864720896","https://openalex.org/W1982596960","https://openalex.org/W1985498261","https://openalex.org/W2000224444","https://openalex.org/W2001598892","https://openalex.org/W2006307958","https://openalex.org/W2018235121","https://openalex.org/W2025011301","https://openalex.org/W2047396480","https://openalex.org/W2070510131","https://openalex.org/W2093273516","https://openalex.org/W2093805255","https://openalex.org/W2098613108","https://openalex.org/W2100058417","https://openalex.org/W2105056323","https://openalex.org/W2107390735","https://openalex.org/W2118847390","https://openalex.org/W2122512809","https://openalex.org/W2124496174","https://openalex.org/W2124499489","https://openalex.org/W2126736494","https://openalex.org/W2131598171","https://openalex.org/W2134676611","https://openalex.org/W2153453045","https://openalex.org/W2156870049","https://openalex.org/W2161522742","https://openalex.org/W2162350421","https://openalex.org/W2168495375","https://openalex.org/W2168634963","https://openalex.org/W2172996688","https://openalex.org/W2177451271","https://openalex.org/W2497497122","https://openalex.org/W2969331306","https://openalex.org/W3098439297","https://openalex.org/W3100393962","https://openalex.org/W3121489036","https://openalex.org/W4230472026","https://openalex.org/W4251396207","https://openalex.org/W4252787811","https://openalex.org/W4292403327","https://openalex.org/W4296357585"],"related_works":["https://openalex.org/W2654527859","https://openalex.org/W1666666856","https://openalex.org/W2276167504","https://openalex.org/W3188177659","https://openalex.org/W2393565244","https://openalex.org/W2991924068","https://openalex.org/W3005324741","https://openalex.org/W2035749901","https://openalex.org/W583624554","https://openalex.org/W1982370455"],"abstract_inverted_index":{"Data":[0],"assimilation":[1,260],"is":[2,53,63,81],"a":[3,121],"procedure":[4],"to":[5,73,94,96,148,164,176,206,214,229],"improve":[6,177,215],"the":[7,12,42,48,54,57,75,91,97,101,105,111,117,132,139,144,157,166,178,191,194,200,207,216,221,231,234,237,243,249,252,256],"state":[8,70,92,145,161,179,196,211,217,239,253],"inference":[9,146],"by":[10],"assimilating":[11],"real-time":[13],"observation":[14],"data":[15,29,259],"into":[16],"dynamic":[17,136],"systems,":[18],"such":[19,31],"as":[20,32],"wildfire":[21,108,140,262],"spread":[22,109,141,263],"simulation.":[23,264],"Various":[24],"techniques":[25],"are":[26,114,227],"used":[27,49,228],"for":[28,68],"assimilation,":[30],"sequential":[33,44],"Monte":[34,45],"Carlo":[35,46],"methods,":[36,47],"also":[37],"called":[38],"particle":[39,202,245],"filters.":[40],"In":[41,104,152],"standard":[43],"number":[50],"of":[51,79,100,107,138,168,233,251,258],"particles":[52,80,169],"same":[55],"during":[56],"entire":[58],"process":[59],"and":[60,116,131,134,172,199,219,242,255],"their":[61],"convergence":[62,167],"not":[64],"measured":[65],"or":[66],"characterized":[67],"runtime":[69,171],"estimation.":[71],"Therefore,":[72],"guarantee":[74],"convergence,":[76],"an":[77],"abundance":[78],"required":[82],"so":[83],"that":[84],"they":[85],"can":[86],"be":[87,149],"widely":[88],"distributed":[89],"in":[90,120,124,248,261],"space":[93,197,240],"converge":[95],"true":[98],"posterior":[99],"system":[102,118],"state.":[103],"application":[106],"simulation,":[110],"spatial":[112],"states":[113],"large":[115],"behaves":[119],"heterogeneous":[122,129],"manner":[123],"different":[125,188],"fire":[126],"areas.":[127],"The":[128,224],"feature":[130],"spatially":[133],"temporally":[135],"behavior":[137],"simulation":[142],"cause":[143],"uncertainty":[147],"dynamically":[150],"changed.":[151],"this":[153],"paper,":[154],"we":[155,185],"propose":[156],"localized":[158,195,208,238],"recursive":[159,209],"spatial-temporal":[160,210],"quantification":[162,212],"method":[163,213],"measure":[165],"at":[170],"apply":[173,186],"various":[174],"approaches":[175],"inference.":[180],"To":[181],"show":[182,230],"its":[183],"effectiveness,":[184],"two":[187],"algorithms":[189],"\u2013":[190,205],"adaptively":[192,235],"perturbing":[193,236],"algorithm":[198,204,241,247],"adaptive":[201,244],"filtering":[203,246],"estimation":[218,254],"enhance":[220],"performance":[222,257],"respectively.":[223],"designed":[225],"experiments":[226],"effectiveness":[232],"improvement":[250]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
