{"id":"https://openalex.org/W2906397047","doi":"https://doi.org/10.3390/rs11010028","title":"Improving the Informational Value of MODIS Fractional Snow Cover Area Using Fuzzy Logic Based Ensemble Smoother Data Assimilation Frameworks","display_name":"Improving the Informational Value of MODIS Fractional Snow Cover Area Using Fuzzy Logic Based Ensemble Smoother Data Assimilation Frameworks","publication_year":2018,"publication_date":"2018-12-25","ids":{"openalex":"https://openalex.org/W2906397047","doi":"https://doi.org/10.3390/rs11010028","mag":"2906397047"},"language":"en","primary_location":{"id":"doi:10.3390/rs11010028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010028","pdf_url":"https://www.mdpi.com/2072-4292/11/1/28/pdf?version=1545736706","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/2072-4292/11/1/28/pdf?version=1545736706","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070965341","display_name":"Aynom T. Teweldebrhan","orcid":"https://orcid.org/0000-0001-6716-2125"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Aynom T. Teweldebrhan","raw_affiliation_strings":["Department of Geosciences, University of Oslo, NO-0316 Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Geosciences, University of Oslo, NO-0316 Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010572773","display_name":"J. F. Burkhart","orcid":"https://orcid.org/0000-0002-5587-1693"},"institutions":[{"id":"https://openalex.org/I2802379157","display_name":"Statkraft (Norway)","ror":"https://ror.org/023f84a29","country_code":"NO","type":"company","lineage":["https://openalex.org/I2802379157"]},{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"John F. Burkhart","raw_affiliation_strings":["Department of Geosciences, University of Oslo, NO-0316 Oslo, Norway","Statkraft, Lilleaker, NO-0216 Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Geosciences, University of Oslo, NO-0316 Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]},{"raw_affiliation_string":"Statkraft, Lilleaker, NO-0216 Oslo, Norway","institution_ids":["https://openalex.org/I2802379157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076457464","display_name":"Thomas V. Schuler","orcid":"https://orcid.org/0000-0003-0972-3929"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Thomas V. Schuler","raw_affiliation_strings":["Department of Geosciences, University of Oslo, NO-0316 Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Geosciences, University of Oslo, NO-0316 Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666387","display_name":"Chong\u2010Yu Xu","orcid":"https://orcid.org/0000-0003-4826-5350"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Chong-Yu Xu","raw_affiliation_strings":["Department of Geosciences, University of Oslo, NO-0316 Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Geosciences, University of Oslo, NO-0316 Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070965341"],"corresponding_institution_ids":["https://openalex.org/I184942183"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.2502,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78946914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":"1","first_page":"28","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","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/T10644","display_name":"Cryospheric studies and observations","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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T10029","display_name":"Climate variability and models","score":0.9970999956130981,"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/data-assimilation","display_name":"Data assimilation","score":0.7239550352096558},{"id":"https://openalex.org/keywords/snow-cover","display_name":"Snow cover","score":0.6288157105445862},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5422003269195557},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.5287204384803772},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4747077524662018},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.47002100944519043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46321138739585876},{"id":"https://openalex.org/keywords/forecast-period","display_name":"Forecast period","score":0.4508516490459442},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3920576870441437},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3379465341567993},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32563281059265137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32538196444511414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3037921190261841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13262924551963806},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11922833323478699}],"concepts":[{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.7239550352096558},{"id":"https://openalex.org/C2983043445","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow cover","level":3,"score":0.6288157105445862},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5422003269195557},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.5287204384803772},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4747077524662018},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47002100944519043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46321138739585876},{"id":"https://openalex.org/C112353543","wikidata":"https://www.wikidata.org/wiki/Q5468162","display_name":"Forecast period","level":4,"score":0.4508516490459442},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3920576870441437},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3379465341567993},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32563281059265137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32538196444511414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3037921190261841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13262924551963806},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11922833323478699},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97366136","wikidata":"https://www.wikidata.org/wiki/Q460184","display_name":"Cash flow statement","level":3,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C163428354","wikidata":"https://www.wikidata.org/wiki/Q1047513","display_name":"Cash flow","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11010028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010028","pdf_url":"https://www.mdpi.com/2072-4292/11/1/28/pdf?version=1545736706","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:e9becf589fb546bd92c98c16a237a8a3","is_oa":true,"landing_page_url":"https://doaj.org/article/e9becf589fb546bd92c98c16a237a8a3","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 1, p 28 (2018)","raw_type":"article"},{"id":"pmh:oai:www.duo.uio.no:10852/71240","is_oa":true,"landing_page_url":"http://hdl.handle.net/10852/71240","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"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":"2072-4292","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs11010028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010028","pdf_url":"https://www.mdpi.com/2072-4292/11/1/28/pdf?version=1545736706","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":"Climate action","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G7476697070","display_name":null,"funder_award_id":"244024","funder_id":"https://openalex.org/F4320323299","funder_display_name":"Norges Forskningsr\u00e5d"}],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2906397047.pdf","grobid_xml":"https://content.openalex.org/works/W2906397047.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1480820720","https://openalex.org/W1523222099","https://openalex.org/W1538302247","https://openalex.org/W1544235060","https://openalex.org/W1549910276","https://openalex.org/W1571276853","https://openalex.org/W1793984240","https://openalex.org/W1874333141","https://openalex.org/W1883948941","https://openalex.org/W1979186087","https://openalex.org/W1996281551","https://openalex.org/W1996591456","https://openalex.org/W2001250891","https://openalex.org/W2008179957","https://openalex.org/W2008603549","https://openalex.org/W2015870287","https://openalex.org/W2018353504","https://openalex.org/W2037929024","https://openalex.org/W2047228190","https://openalex.org/W2054476892","https://openalex.org/W2061688579","https://openalex.org/W2065331672","https://openalex.org/W2068104630","https://openalex.org/W2073353017","https://openalex.org/W2076340991","https://openalex.org/W2081346522","https://openalex.org/W2082477059","https://openalex.org/W2084657706","https://openalex.org/W2092409312","https://openalex.org/W2098613108","https://openalex.org/W2100160710","https://openalex.org/W2103794190","https://openalex.org/W2109510781","https://openalex.org/W2114971337","https://openalex.org/W2115407788","https://openalex.org/W2116767975","https://openalex.org/W2117866815","https://openalex.org/W2121745948","https://openalex.org/W2123252455","https://openalex.org/W2128843330","https://openalex.org/W2132394078","https://openalex.org/W2142599182","https://openalex.org/W2146952331","https://openalex.org/W2147284659","https://openalex.org/W2157098139","https://openalex.org/W2157173445","https://openalex.org/W2157539439","https://openalex.org/W2172396214","https://openalex.org/W2177384047","https://openalex.org/W2179371052","https://openalex.org/W2180124860","https://openalex.org/W2284741308","https://openalex.org/W2326869425","https://openalex.org/W2484215240","https://openalex.org/W2542277341","https://openalex.org/W2555855208","https://openalex.org/W2561619973","https://openalex.org/W2563710438","https://openalex.org/W2725488146","https://openalex.org/W2783163725","https://openalex.org/W2790322129","https://openalex.org/W2800612588","https://openalex.org/W2800907055","https://openalex.org/W2807398997","https://openalex.org/W3113080138","https://openalex.org/W6666045745"],"related_works":["https://openalex.org/W2910852340","https://openalex.org/W2913143114","https://openalex.org/W1965757266","https://openalex.org/W1975930865","https://openalex.org/W2060524912","https://openalex.org/W4393423908","https://openalex.org/W169748493","https://openalex.org/W2355295607","https://openalex.org/W2558750709","https://openalex.org/W2794501863"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"fractional":[2],"snow":[3,21,104],"cover":[4,105],"area":[5],"(fSCA)":[6],"has":[7,48,211],"been":[8,49],"increasingly":[9],"used":[10,157],"to":[11,51,79,92,137],"get":[12],"an":[13,88,193,213,261],"improved":[14,217],"estimate":[15,218],"of":[16,20,38,58,67,147,153,180,201,219,226,233],"the":[17,34,55,68,94,98,102,109,142,154,162,181,199,227,235,249,253,269],"spatiotemporal":[18],"distribution":[19],"water":[22],"equivalent":[23],"(SWE)":[24],"through":[25],"reanalysis":[26],"using":[27],"different":[28],"data":[29],"assimilation":[30,36,114],"(DA)":[31],"schemes.":[32,241],"Although":[33],"effective":[35],"period":[37,71,111,115],"fSCA":[39,148],"is":[40],"well":[41],"recognized":[42],"in":[43,60,77,97,132,144,158,170,224,238,248,272],"previous":[44],"studies,":[45],"little":[46],"attention":[47],"given":[50],"explicitly":[52],"account":[53,140],"for":[54,141],"relative":[56],"significance":[57],"measurements":[59],"constraining":[61],"model":[62],"parameters":[63],"and":[64,75,82,107,172,205,209,255,265,274],"states.":[65],"Timing":[66],"more":[69],"informative":[70],"varies":[72],"both":[73,239],"spatially":[74],"temporally":[76],"response":[78],"various":[80],"climatic":[81],"physiographic":[83],"factors.":[84],"Here":[85],"we":[86,190],"use":[87],"automatic":[89],"detection":[90],"approach":[91],"locate":[93],"critical":[95,125],"points":[96],"time":[99],"axis":[100],"where":[101,108],"mean":[103],"changes":[106],"melt-out":[110],"starts.":[112],"The":[113,167,242],"was":[116,130,161,221,246],"partitioned":[117],"into":[118,139],"three":[119],"timing":[120],"windows":[121],"based":[122,197],"on":[123,198],"these":[124],"points.":[126],"A":[127],"fuzzy":[128,236,270],"coefficient":[129,251,271],"introduced":[131],"two":[133],"ensemble-based":[134],"DA":[135,155,175,195,240],"schemes":[136,156,176],"take":[138],"variability":[143],"informational":[145],"value":[146],"observations":[149],"with":[150,260],"time.":[151],"One":[152],"this":[159],"study":[160],"particle":[163],"batch":[164],"smoother":[165],"(Pbs).":[166],"main":[168],"challenge":[169],"Pbs":[171,273],"other":[173],"Bayesian-based":[174],"is,":[177],"that":[178],"most":[179,225,243],"weights":[182],"are":[183],"carried":[184],"by":[185,263],"few":[186],"ensemble":[187],"members.":[188],"Thus,":[189],"also":[191,222],"considered":[192],"alternative":[194],"scheme":[196],"limits":[200],"acceptability":[202],"concept":[203],"(LoA)":[204],"certain":[206],"hydrologic":[207],"signatures":[208],"it":[210],"yielded":[212],"encouraging":[214],"result.":[215],"An":[216],"SWE":[220,257],"obtained":[223,247],"analysis":[228],"years":[229],"as":[230],"a":[231],"result":[232],"introducing":[234,268],"coefficients":[237],"significant":[244],"improvement":[245],"correlation":[250],"between":[252],"predicted":[254],"observed":[256],"values":[258],"(site-averaged);":[259],"increase":[262],"8%":[264],"16%":[266],"after":[267],"LoA,":[275],"respectively.":[276]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}