{"id":"https://openalex.org/W2977422968","doi":"https://doi.org/10.3390/rs11192265","title":"Exploring the Utility of Machine Learning-Based Passive Microwave Brightness Temperature Data Assimilation over Terrestrial Snow in High Mountain Asia","display_name":"Exploring the Utility of Machine Learning-Based Passive Microwave Brightness Temperature Data Assimilation over Terrestrial Snow in High Mountain Asia","publication_year":2019,"publication_date":"2019-09-28","ids":{"openalex":"https://openalex.org/W2977422968","doi":"https://doi.org/10.3390/rs11192265","mag":"2977422968"},"language":"en","primary_location":{"id":"doi:10.3390/rs11192265","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11192265","pdf_url":"https://www.mdpi.com/2072-4292/11/19/2265/pdf?version=1569656759","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","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/19/2265/pdf?version=1569656759","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057507767","display_name":"Yonghwan Kwon","orcid":"https://orcid.org/0000-0001-9901-8670"},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]},{"id":"https://openalex.org/I4210144776","display_name":"Earth System Science Interdisciplinary Center","ror":"https://ror.org/042607708","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210144776","https://openalex.org/I66946132"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yonghwan Kwon","raw_affiliation_strings":["Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD 20742, USA","Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA","Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"],"raw_orcid":"https://orcid.org/0000-0001-9901-8670","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD 20742, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA","institution_ids":["https://openalex.org/I4210144776","https://openalex.org/I66946132"]},{"raw_affiliation_string":"Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA","institution_ids":["https://openalex.org/I1306266525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077325118","display_name":"Barton A. Forman","orcid":"https://orcid.org/0000-0001-6410-9978"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barton A. Forman","raw_affiliation_strings":["Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084119218","display_name":"Jawairia A. Ahmad","orcid":"https://orcid.org/0000-0003-2953-9360"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jawairia A. Ahmad","raw_affiliation_strings":["Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD 20742, USA"],"raw_orcid":"https://orcid.org/0000-0003-2953-9360","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088696834","display_name":"Sujay V. Kumar","orcid":"https://orcid.org/0000-0001-8797-9482"},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujay V. Kumar","raw_affiliation_strings":["Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"],"raw_orcid":"https://orcid.org/0000-0001-8797-9482","affiliations":[{"raw_affiliation_string":"Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA","institution_ids":["https://openalex.org/I1306266525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049946299","display_name":"Yeosang Yoon","orcid":"https://orcid.org/0000-0002-3095-1136"},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]},{"id":"https://openalex.org/I880747138","display_name":"Science Applications International Corporation (United States)","ror":"https://ror.org/00zv91802","country_code":"US","type":"company","lineage":["https://openalex.org/I880747138"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yeosang Yoon","raw_affiliation_strings":["Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA","Science Applications International Corporation, McLean, VA 22102, USA"],"raw_orcid":"https://orcid.org/0000-0002-3095-1136","affiliations":[{"raw_affiliation_string":"Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA","institution_ids":["https://openalex.org/I1306266525"]},{"raw_affiliation_string":"Science Applications International Corporation, McLean, VA 22102, USA","institution_ids":["https://openalex.org/I880747138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057507767"],"corresponding_institution_ids":["https://openalex.org/I1306266525","https://openalex.org/I4210144776","https://openalex.org/I66946132"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.7441,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.93574376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"19","first_page":"2265","last_page":"2265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":1.0,"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":1.0,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9983999729156494,"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/T10466","display_name":"Meteorological Phenomena and Simulations","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/snow","display_name":"Snow","score":0.8880734443664551},{"id":"https://openalex.org/keywords/snowpack","display_name":"Snowpack","score":0.828074038028717},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7405919432640076},{"id":"https://openalex.org/keywords/brightness-temperature","display_name":"Brightness temperature","score":0.6717904806137085},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6643691062927246},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5275375843048096},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5076733827590942},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4973919689655304},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.4745417535305023},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.47143855690956116},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4667865037918091},{"id":"https://openalex.org/keywords/microwave","display_name":"Microwave","score":0.35819125175476074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3114284873008728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2925359010696411},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2126322090625763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14952456951141357},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1420576572418213},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11024618148803711}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.8880734443664551},{"id":"https://openalex.org/C2778877292","wikidata":"https://www.wikidata.org/wiki/Q18575846","display_name":"Snowpack","level":3,"score":0.828074038028717},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7405919432640076},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.6717904806137085},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6643691062927246},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5275375843048096},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5076733827590942},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4973919689655304},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.4745417535305023},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.47143855690956116},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4667865037918091},{"id":"https://openalex.org/C44838205","wikidata":"https://www.wikidata.org/wiki/Q127995","display_name":"Microwave","level":2,"score":0.35819125175476074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3114284873008728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2925359010696411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2126322090625763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14952456951141357},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1420576572418213},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11024618148803711},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/rs11192265","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11192265","pdf_url":"https://www.mdpi.com/2072-4292/11/19/2265/pdf?version=1569656759","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:drum.lib.umd.edu:1903/31385","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/31385","pdf_url":"https://drum.lib.umd.edu/bitstreams/9fd125b4-9318-439e-ab90-7cfd19db478b/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:casi.ntrs.nasa.gov:20190032421","is_oa":false,"landing_page_url":"http://hdl.handle.net/2060/20190032421","pdf_url":null,"source":{"id":"https://openalex.org/S4377196257","display_name":"NASA STI Repository (National Aeronautics and Space Administration)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CASI","raw_type":"GSFC-E-DAA-TN74481"},{"id":"pmh:oai:doaj.org/article:d1d4f3a2454843d7982a9e34e3ffac3f","is_oa":true,"landing_page_url":"https://doaj.org/article/d1d4f3a2454843d7982a9e34e3ffac3f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 19, p 2265 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/19/2265/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11192265","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","raw_type":"Text"},{"id":"doi:10.13016/dspace/hhjc-xxwv","is_oa":true,"landing_page_url":"https://doi.org/10.13016/dspace/hhjc-xxwv","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.3390/rs11192265","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11192265","pdf_url":"https://www.mdpi.com/2072-4292/11/19/2265/pdf?version=1569656759","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2977422968.pdf","grobid_xml":"https://content.openalex.org/works/W2977422968.grobid-xml"},"referenced_works_count":104,"referenced_works":["https://openalex.org/W304861154","https://openalex.org/W1209269186","https://openalex.org/W1521627754","https://openalex.org/W1554353685","https://openalex.org/W1573314160","https://openalex.org/W1573815108","https://openalex.org/W1573842823","https://openalex.org/W1681308797","https://openalex.org/W1729109263","https://openalex.org/W1908569208","https://openalex.org/W1962411318","https://openalex.org/W1964989255","https://openalex.org/W1965275008","https://openalex.org/W1969335617","https://openalex.org/W1970926657","https://openalex.org/W1978836251","https://openalex.org/W1988743541","https://openalex.org/W1990572727","https://openalex.org/W1990874001","https://openalex.org/W1995622703","https://openalex.org/W1996844457","https://openalex.org/W2000703424","https://openalex.org/W2003559248","https://openalex.org/W2008001155","https://openalex.org/W2013190644","https://openalex.org/W2017159527","https://openalex.org/W2027824608","https://openalex.org/W2033084889","https://openalex.org/W2038548348","https://openalex.org/W2039743872","https://openalex.org/W2045706725","https://openalex.org/W2052312814","https://openalex.org/W2054476892","https://openalex.org/W2057330690","https://openalex.org/W2057421428","https://openalex.org/W2057852819","https://openalex.org/W2063272313","https://openalex.org/W2066907097","https://openalex.org/W2071209514","https://openalex.org/W2076420009","https://openalex.org/W2084693386","https://openalex.org/W2084744129","https://openalex.org/W2085585287","https://openalex.org/W2094795242","https://openalex.org/W2096383421","https://openalex.org/W2098886339","https://openalex.org/W2105035156","https://openalex.org/W2108012047","https://openalex.org/W2117047023","https://openalex.org/W2117913235","https://openalex.org/W2118090517","https://openalex.org/W2119007429","https://openalex.org/W2119525553","https://openalex.org/W2121025662","https://openalex.org/W2123559469","https://openalex.org/W2126468629","https://openalex.org/W2130375876","https://openalex.org/W2130560194","https://openalex.org/W2134007236","https://openalex.org/W2135902443","https://openalex.org/W2137898846","https://openalex.org/W2138305279","https://openalex.org/W2144668858","https://openalex.org/W2149298154","https://openalex.org/W2150976842","https://openalex.org/W2152151329","https://openalex.org/W2153635508","https://openalex.org/W2155986922","https://openalex.org/W2156278561","https://openalex.org/W2157098139","https://openalex.org/W2158994553","https://openalex.org/W2160741281","https://openalex.org/W2170582209","https://openalex.org/W2173640817","https://openalex.org/W2174732504","https://openalex.org/W2176354521","https://openalex.org/W2178724328","https://openalex.org/W2180770370","https://openalex.org/W2261645655","https://openalex.org/W2339528259","https://openalex.org/W2396796699","https://openalex.org/W2480988658","https://openalex.org/W2514631964","https://openalex.org/W2519550941","https://openalex.org/W2543322999","https://openalex.org/W2563870599","https://openalex.org/W2587005214","https://openalex.org/W2785695140","https://openalex.org/W2792379584","https://openalex.org/W2797348429","https://openalex.org/W2801606895","https://openalex.org/W2905312190","https://openalex.org/W2935123785","https://openalex.org/W2937513445","https://openalex.org/W2945324250","https://openalex.org/W2964397832","https://openalex.org/W3122847975","https://openalex.org/W4211219221","https://openalex.org/W4232936857","https://openalex.org/W4242609942","https://openalex.org/W4299847412","https://openalex.org/W6666375488","https://openalex.org/W6682636675","https://openalex.org/W6725921232"],"related_works":["https://openalex.org/W4322714012","https://openalex.org/W2308792502","https://openalex.org/W2112627041","https://openalex.org/W1970258061","https://openalex.org/W1673032509","https://openalex.org/W1983414154","https://openalex.org/W3178361235","https://openalex.org/W2540909290","https://openalex.org/W2111586823","https://openalex.org/W2390005173"],"abstract_inverted_index":{"This":[0],"study":[1,322],"explores":[2],"the":[3,12,28,49,63,78,115,144,161,184,188,202,211,218,228,249,267,271,275,285,301,314,332],"use":[4],"of":[5,30,42,58,142,190,207,213,230,274,287,298,316,331,335],"a":[6,16,56,172,197,223,240,292,317,325],"support":[7],"vector":[8],"machine":[9],"(SVM)":[10],"as":[11,239],"observation":[13],"operator":[14],"within":[15],"passive":[17,336],"microwave":[18],"brightness":[19,162],"temperature":[20,163],"data":[21,345],"assimilation":[22],"framework":[23,65,94,146,329],"(herein":[24],"SVM-DA)":[25],"to":[26,77,122,178,227],"enhance":[27],"characterization":[29],"snow":[31,102,108,126,156,208,214,343],"water":[32,110,128,158],"equivalent":[33],"(SWE)":[34],"over":[35,149],"High":[36],"Mountain":[37],"Asia":[38],"(HMA).":[39],"A":[40],"series":[41],"synthetic":[43,302],"twin":[44],"experiments":[45],"were":[46,147],"conducted":[47],"with":[48,169],"NASA":[50],"Land":[51],"Information":[52],"System":[53],"(LIS)":[54],"at":[55,68],"number":[57],"locations":[59],"across":[60,201],"HMA.":[61],"Overall,":[62],"SVM-DA":[64,93,145,311,328],"is":[66,111,278,304],"effective":[67],"improving":[69],"SWE":[70,82,97,182,235,246,268,299,338],"estimates":[71,98,129,206,247],"(~70%":[72],"reduction":[73,104],"in":[74,99,105,155,181,244,313],"RMSE":[75],"relative":[76],"Open":[79],"Loop)":[80],"for":[81,342],"depths":[83],"less":[84],"than":[85,280,306],"200":[86],"mm":[87],"during":[88,134,183,217],"dry":[89,319],"snowpack":[90],"conditions.":[91],"The":[92,321],"also":[95],"improves":[96],"deep,":[100,150],"wet":[101,151,173],"(~45%":[103],"RMSE)":[106],"when":[107,125,204,270,300],"liquid":[109,127,157],"well":[112],"estimated":[113],"by":[114,260],"land":[116],"surface":[117],"model,":[118],"but":[119],"can":[120,176,193,225,242,256,309],"lead":[121,177,226],"model":[123],"degradation":[124],"diverge":[130],"from":[131,171,248],"values":[132],"used":[133,216],"SVM":[135,219],"training.":[136],"In":[137],"particular,":[138],"two":[139],"key":[140],"challenges":[141],"using":[143],"observed":[148],"snowpacks.":[152],"First,":[153],"variations":[154],"content":[159],"dominate":[160],"spectral":[164],"difference":[165],"(\u0394TB)":[166],"signal":[167],"associated":[168],"emission":[170],"snowpack,":[174],"which":[175],"abrupt":[179],"changes":[180],"analysis":[185,250,254],"update.":[186,251],"Second,":[187],"ensemble":[189],"SVM-based":[191],"predictions":[192],"collapse":[194],"(i.e.,":[195,295],"yield":[196],"near-zero":[198],"standard":[199,272],"deviation":[200,273],"ensemble)":[203],"prior":[205],"are":[209],"outside":[210],"range":[212],"inputs":[215],"training":[220],"procedure.":[221],"Such":[222],"scenario":[224],"presence":[229,315],"spurious":[231],"error":[232],"correlations":[233],"between":[234],"and":[236,238],"\u0394TB,":[237],"consequence,":[241],"result":[243],"degraded":[245,253],"These":[252],"updates":[255],"be":[257],"largely":[258],"mitigated":[259],"applying":[261],"rule-based":[262],"approaches.":[263],"For":[264],"example,":[265],"restricting":[266],"update":[269],"predicted":[276],"\u0394TB":[277,303],"greater":[279],"0.05":[281],"K":[282,308],"helps":[283],"prevent":[284],"occurrence":[286],"filter":[288],"divergence.":[289],"Similarly,":[290],"adding":[291],"thin":[293],"layer":[294],"5":[296,307],"mm)":[297],"larger":[305],"improve":[310],"performance":[312],"precipitation":[318],"bias.":[320],"demonstrates":[323],"that":[324],"carefully":[326],"constructed":[327],"cognizant":[330],"inherent":[333],"limitations":[334],"microwave-based":[337],"estimation":[339],"holds":[340],"promise":[341],"mass":[344],"assimilation.":[346]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}