{"id":"https://openalex.org/W4400119913","doi":"https://doi.org/10.3390/rs16132377","title":"A Quantile-Conserving Ensemble Filter Based on Kernel-Density Estimation","display_name":"A Quantile-Conserving Ensemble Filter Based on Kernel-Density Estimation","publication_year":2024,"publication_date":"2024-06-28","ids":{"openalex":"https://openalex.org/W4400119913","doi":"https://doi.org/10.3390/rs16132377"},"language":"en","primary_location":{"id":"doi:10.3390/rs16132377","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132377","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2377/pdf?version=1720499655","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/2072-4292/16/13/2377/pdf?version=1720499655","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016646160","display_name":"Ian Grooms","orcid":"https://orcid.org/0000-0002-4678-7203"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ian Grooms","raw_affiliation_strings":["Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005042096","display_name":"Christopher Riedel","orcid":"https://orcid.org/0000-0001-7913-8827"},"institutions":[{"id":"https://openalex.org/I2799356940","display_name":"University Corporation for Atmospheric Research","ror":"https://ror.org/04zhhyn23","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799356940"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Riedel","raw_affiliation_strings":["University Corporation for Atmospheric Research, Boulder, CO 80309, USA"],"affiliations":[{"raw_affiliation_string":"University Corporation for Atmospheric Research, Boulder, CO 80309, USA","institution_ids":["https://openalex.org/I2799356940"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016646160"],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.9641,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84444444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"16","issue":"13","first_page":"2377","last_page":"2377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9998999834060669,"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":0.9998999834060669,"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/T10029","display_name":"Climate variability and models","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.996399998664856,"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/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.7851842641830444},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.7779091000556946},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6110182404518127},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6108422875404358},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5971364974975586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5499002933502197},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5250380039215088},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4596289396286011},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.44725942611694336},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43116265535354614},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40399596095085144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30393293499946594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22633448243141174},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1662355661392212},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.13592559099197388},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1310308873653412},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.10398399829864502}],"concepts":[{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.7851842641830444},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.7779091000556946},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6110182404518127},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6108422875404358},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5971364974975586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5499002933502197},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5250380039215088},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4596289396286011},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.44725942611694336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43116265535354614},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40399596095085144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30393293499946594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22633448243141174},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1662355661392212},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.13592559099197388},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1310308873653412},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.10398399829864502},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16132377","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132377","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2377/pdf?version=1720499655","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:26084ad1e2aa404f9c86ad6e30b16720","is_oa":true,"landing_page_url":"https://doaj.org/article/26084ad1e2aa404f9c86ad6e30b16720","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 13, p 2377 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16132377","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132377","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2377/pdf?version=1720499655","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":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G5175403990","display_name":null,"funder_award_id":"2152814","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400119913.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1536719639","https://openalex.org/W1640712804","https://openalex.org/W1875502629","https://openalex.org/W1879048345","https://openalex.org/W1978135292","https://openalex.org/W1999070801","https://openalex.org/W2001150023","https://openalex.org/W2003164867","https://openalex.org/W2009104157","https://openalex.org/W2011088711","https://openalex.org/W2013979583","https://openalex.org/W2017716794","https://openalex.org/W2019249840","https://openalex.org/W2025720061","https://openalex.org/W2067210975","https://openalex.org/W2072950528","https://openalex.org/W2073621390","https://openalex.org/W2118010588","https://openalex.org/W2135424291","https://openalex.org/W2137295153","https://openalex.org/W2157098139","https://openalex.org/W2174105915","https://openalex.org/W2178242555","https://openalex.org/W2179584279","https://openalex.org/W2237058496","https://openalex.org/W2310986833","https://openalex.org/W2737773173","https://openalex.org/W2788735161","https://openalex.org/W2801583633","https://openalex.org/W2944502521","https://openalex.org/W2954190734","https://openalex.org/W2998885490","https://openalex.org/W3033429641","https://openalex.org/W3112697985","https://openalex.org/W3135802851","https://openalex.org/W3173853775","https://openalex.org/W4210482135","https://openalex.org/W4221059097","https://openalex.org/W4384342509","https://openalex.org/W4398234278","https://openalex.org/W4399900018","https://openalex.org/W4400119913","https://openalex.org/W4404596823","https://openalex.org/W6639459492","https://openalex.org/W6748449216","https://openalex.org/W6802529416","https://openalex.org/W6851147837","https://openalex.org/W6856435038","https://openalex.org/W6912603312"],"related_works":["https://openalex.org/W4212971657","https://openalex.org/W1949985943","https://openalex.org/W2089385108","https://openalex.org/W2363380593","https://openalex.org/W2377052976","https://openalex.org/W2991541038","https://openalex.org/W2393565244","https://openalex.org/W2613759229","https://openalex.org/W1996382496","https://openalex.org/W4246354917"],"abstract_inverted_index":{"Ensemble":[0],"Kalman":[1],"filters":[2],"are":[3],"an":[4,97],"efficient":[5],"class":[6],"of":[7,79,100,103],"algorithms":[8],"for":[9,27,74],"large-scale":[10],"ensemble":[11,28,42,66],"data":[12,29],"assimilation,":[13],"but":[14],"their":[15,20],"performance":[16],"is":[17,84],"limited":[18],"by":[19],"underlying":[21],"Gaussian":[22],"approximation.":[23],"A":[24],"two-step":[25,81],"framework":[26],"assimilation":[30],"allows":[31],"this":[32],"approximation":[33],"to":[34,56,86],"be":[35],"relaxed:":[36],"The":[37],"first":[38,77],"step":[39,49,78],"updates":[40],"the":[41,47,51,57,75,80],"in":[43,89,96],"observation":[44,52],"space,":[45],"while":[46],"second":[48],"regresses":[50],"state":[53,58],"update":[54],"back":[55],"variables.":[59],"This":[60],"paper":[61],"develops":[62],"a":[63],"new":[64],"quantile-conserving":[65],"filter":[67],"based":[68],"on":[69],"kernel-density":[70],"estimation":[71],"and":[72],"quadrature":[73],"scalar":[76],"framework.":[82],"It":[83],"shown":[85],"perform":[87],"well":[88,94],"idealized":[90,98],"non-Gaussian":[91],"problems,":[92],"as":[93,95],"model":[99],"assimilating":[101],"observations":[102],"sea-ice":[104],"concentration.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}
