{"id":"https://openalex.org/W4200561105","doi":"https://doi.org/10.1016/j.cageo.2021.105019","title":"Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms","display_name":"Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms","publication_year":2021,"publication_date":"2021-12-02","ids":{"openalex":"https://openalex.org/W4200561105","doi":"https://doi.org/10.1016/j.cageo.2021.105019"},"language":"en","primary_location":{"id":"doi:10.1016/j.cageo.2021.105019","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cageo.2021.105019","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0098300421003010/pdf","source":{"id":"https://openalex.org/S61699894","display_name":"Computers & Geosciences","issn_l":"0098-3004","issn":["0098-3004","1873-7803"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Geosciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.sciencedirect.com/science/article/pii/S0098300421003010/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080526071","display_name":"Youchen Shen","orcid":"https://orcid.org/0000-0002-7020-4880"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Youchen Shen","raw_affiliation_strings":["Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands","Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-7020-4880","affiliations":[{"raw_affiliation_string":"Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012807947","display_name":"Jessica Ruijsch","orcid":"https://orcid.org/0000-0001-6510-7499"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jessica Ruijsch","raw_affiliation_strings":["Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands","Water Systems and Global Change Group, Wageningen University and Research, Wageningen, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Water Systems and Global Change Group, Wageningen University and Research, Wageningen, the Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078532329","display_name":"Meng L\u00fc","orcid":"https://orcid.org/0000-0002-6850-581X"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Meng Lu","raw_affiliation_strings":["Department of Geography, University of Bayreuth, Germany","Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]},{"raw_affiliation_string":"Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043362415","display_name":"Edwin H. Sutanudjaja","orcid":"https://orcid.org/0000-0002-3426-4069"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Edwin H. Sutanudjaja","raw_affiliation_strings":["Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077042002","display_name":"Derek Karssenberg","orcid":"https://orcid.org/0000-0002-6475-363X"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Derek Karssenberg","raw_affiliation_strings":["Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-6475-363X","affiliations":[{"raw_affiliation_string":"Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080526071"],"corresponding_institution_ids":["https://openalex.org/I193662353"],"apc_list":{"value":3200,"currency":"USD","value_usd":3200},"apc_paid":{"value":3200,"currency":"USD","value_usd":3200},"fwci":3.8005,"has_fulltext":true,"cited_by_count":73,"citation_normalized_percentile":{"value":0.94162907,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"159","issue":null,"first_page":"105019","last_page":"105019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9998999834060669,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9977999925613403,"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/streamflow","display_name":"Streamflow","score":0.9018718004226685},{"id":"https://openalex.org/keywords/hydrograph","display_name":"Hydrograph","score":0.6468572616577148},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5610128045082092},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.504963219165802},{"id":"https://openalex.org/keywords/state-variable","display_name":"State variable","score":0.4515461325645447},{"id":"https://openalex.org/keywords/hydrology","display_name":"Hydrology (agriculture)","score":0.4499255418777466},{"id":"https://openalex.org/keywords/hydrological-modelling","display_name":"Hydrological modelling","score":0.44608041644096375},{"id":"https://openalex.org/keywords/drainage-basin","display_name":"Drainage basin","score":0.3968830704689026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30670204758644104},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.27581554651260376},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16912680864334106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15093210339546204}],"concepts":[{"id":"https://openalex.org/C53739315","wikidata":"https://www.wikidata.org/wiki/Q29425295","display_name":"Streamflow","level":3,"score":0.9018718004226685},{"id":"https://openalex.org/C154936535","wikidata":"https://www.wikidata.org/wiki/Q320062","display_name":"Hydrograph","level":3,"score":0.6468572616577148},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5610128045082092},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.504963219165802},{"id":"https://openalex.org/C129537906","wikidata":"https://www.wikidata.org/wiki/Q7603913","display_name":"State variable","level":2,"score":0.4515461325645447},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.4499255418777466},{"id":"https://openalex.org/C126197015","wikidata":"https://www.wikidata.org/wiki/Q1586683","display_name":"Hydrological modelling","level":2,"score":0.44608041644096375},{"id":"https://openalex.org/C126645576","wikidata":"https://www.wikidata.org/wiki/Q166620","display_name":"Drainage basin","level":2,"score":0.3968830704689026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30670204758644104},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.27581554651260376},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16912680864334106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15093210339546204},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.cageo.2021.105019","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cageo.2021.105019","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0098300421003010/pdf","source":{"id":"https://openalex.org/S61699894","display_name":"Computers & Geosciences","issn_l":"0098-3004","issn":["0098-3004","1873-7803"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Geosciences","raw_type":"journal-article"},{"id":"pmh:oai:library.wur.nl:wurpubs/590659","is_oa":true,"landing_page_url":"https://research.wur.nl/en/publications/random-forests-based-error-correction-of-streamflow-from-a-large-","pdf_url":"https://edepot.wur.nl/559911","source":{"id":"https://openalex.org/S4210201231","display_name":"Socio-Environmental Systems Modeling","issn_l":"2663-3027","issn":["2663-3027"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"ISSN: 0098-3004","raw_type":"Article/Letter to editor"},{"id":"pmh:oai:archive.ugent.be:01K7HFZMKG2X6FJW590MXBSZT1","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/01K7HFZMKG2X6FJW590MXBSZT1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1873-7803","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:dspace.library.uu.nl:1874/475136","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/475136","pdf_url":null,"source":{"id":"https://openalex.org/S4306401649","display_name":"Utrecht University Repository (Utrecht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193662353","host_organization_name":"Utrecht University","host_organization_lineage":["https://openalex.org/I193662353"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1016/j.cageo.2021.105019","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cageo.2021.105019","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0098300421003010/pdf","source":{"id":"https://openalex.org/S61699894","display_name":"Computers & Geosciences","issn_l":"0098-3004","issn":["0098-3004","1873-7803"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Geosciences","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5099999904632568,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200561105.pdf","grobid_xml":"https://content.openalex.org/works/W4200561105.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1573647811","https://openalex.org/W1968637865","https://openalex.org/W1984038448","https://openalex.org/W2016134408","https://openalex.org/W2040574422","https://openalex.org/W2052914342","https://openalex.org/W2063987149","https://openalex.org/W2117319840","https://openalex.org/W2138763184","https://openalex.org/W2230911711","https://openalex.org/W2303811549","https://openalex.org/W2317623121","https://openalex.org/W2441507532","https://openalex.org/W2570501755","https://openalex.org/W2733430212","https://openalex.org/W2772564114","https://openalex.org/W2899023746","https://openalex.org/W2909372683","https://openalex.org/W2911964244","https://openalex.org/W2943160824","https://openalex.org/W2956497647","https://openalex.org/W2979476516","https://openalex.org/W3012833929","https://openalex.org/W3016829663","https://openalex.org/W3191544634","https://openalex.org/W4247061698","https://openalex.org/W6634147026","https://openalex.org/W6635665709","https://openalex.org/W6697860735","https://openalex.org/W6768491971"],"related_works":["https://openalex.org/W2007423446","https://openalex.org/W4220822099","https://openalex.org/W2189542629","https://openalex.org/W2068368507","https://openalex.org/W2062617924","https://openalex.org/W2410321494","https://openalex.org/W3014138539","https://openalex.org/W4239438818","https://openalex.org/W2128535843","https://openalex.org/W2118140192"],"abstract_inverted_index":{"To":[0],"improve":[1],"streamflow":[2,23,92,111,123],"predictions,":[3,93],"researchers":[4],"have":[5,34],"implemented":[6],"updating":[7],"procedures":[8],"that":[9,175],"correct":[10,60,99],"predictions":[11,61],"from":[12,62,125,140,147,161,222],"a":[13,54,63,162,211,224],"simulation":[14,48],"model":[15,66,137],"using":[16],"machine":[17,227],"learning":[18,228],"methods,":[19],"in":[20,84,114,158,190,210],"which":[21,94],"simulated":[22,45,76,100],"and":[24,41,52,106,168,203,226],"meteorological":[25,40,70],"data":[26],"are":[27,176,188,208],"used":[28,81],"as":[29,72,74,82],"predictors.":[30],"Few":[31],"studies":[32],"however":[33],"included":[35],"an":[36,126],"extensive":[37],"set":[38],"of":[39,90],"hydrological":[42,65,77],"state":[43,78,173,206],"variables":[44,79,174,207],"by":[46,132,193],"the":[47,85,115,134,159,179,194,220],"model.":[49],"We":[50],"developed":[51],"evaluated":[53],"Random":[55],"Forests":[56],"(RF)-based":[57],"approach":[58],"to":[59,87,98,142,144,149,151,178,186],"global":[64],"PCR-GLOBWB.":[67],"From":[68],"PCR-GLOBWB,":[69],"input":[71],"well":[73],"its":[75],"were":[80,95,130],"predictors":[83],"RF":[86,103],"estimate":[88],"errors":[89],"PCR-GLOBWB":[91,128,164,172],"then":[96],"applied":[97,107],"hydrograph.":[101],"The":[102,171],"was":[104,156],"trained":[105],"separately":[108],"at":[109],"three":[110],"gauging":[112],"stations":[113],"Rhine":[116],"basin":[117],"with":[118,214],"different":[119],"physiographic":[120],"characteristics.":[121],"Daily":[122],"simulations":[124,160],"uncalibrated":[127],"run":[129,165],"improved":[131,139],"applying":[133],"RF-based":[135],"error-correction":[136],"(KGE":[138,166],"0.37":[141],"0.62":[143],"0.76\u20130.89,":[145],"NSE":[146,169],"0.19":[148],"0.39":[150],"0.64\u20130.80).":[152],"A":[153],"similar":[154],"improvement":[155,180,221],"found":[157],"calibrated":[163],"0.72\u20130.87":[167],"0.60\u20130.78).":[170],"informative":[177,189,209],"differed":[181],"between":[182],"catchments.":[183],"Variables":[184],"related":[185],"groundwater":[187],"catchments":[191],"dominated":[192],"sedimentary":[195],"basins":[196],"characterizing":[197],"large":[198,215],"aquifers,":[199],"while":[200],"snow":[201],"cover":[202],"surface":[204],"water":[205],"nival":[212],"regime":[213],"lakes.":[216],"Here":[217],"we":[218],"quantified":[219],"combining":[223],"process-based":[225],"approach.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":5}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
