{"id":"https://openalex.org/W4293207157","doi":"https://doi.org/10.3390/rs14174169","title":"The Prediction of the Tibetan Plateau Thermal Condition with Machine Learning and Shapley Additive Explanation","display_name":"The Prediction of the Tibetan Plateau Thermal Condition with Machine Learning and Shapley Additive Explanation","publication_year":2022,"publication_date":"2022-08-25","ids":{"openalex":"https://openalex.org/W4293207157","doi":"https://doi.org/10.3390/rs14174169"},"language":"en","primary_location":{"id":"doi:10.3390/rs14174169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174169","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4169/pdf?version=1661409132","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/2072-4292/14/17/4169/pdf?version=1661409132","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057745485","display_name":"Yuheng Tang","orcid":"https://orcid.org/0000-0002-9639-3958"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210152758","display_name":"Institute of Atmospheric Physics","ror":"https://ror.org/0424h4e32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210152758"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Tang","raw_affiliation_strings":["College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China","State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China","institution_ids":["https://openalex.org/I4210152758","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007100017","display_name":"Anmin Duan","orcid":"https://orcid.org/0000-0002-3022-2582"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210152758","display_name":"Institute of Atmospheric Physics","ror":"https://ror.org/0424h4e32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210152758"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anmin Duan","raw_affiliation_strings":["College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China","State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China","institution_ids":["https://openalex.org/I4210152758","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934663","display_name":"Chunyan Xiao","orcid":"https://orcid.org/0009-0001-1999-8961"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210152758","display_name":"Institute of Atmospheric Physics","ror":"https://ror.org/0424h4e32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210152758"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Xiao","raw_affiliation_strings":["College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China","State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China","institution_ids":["https://openalex.org/I4210152758","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101908371","display_name":"Yue Xin","orcid":"https://orcid.org/0000-0003-3312-8898"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210152758","display_name":"Institute of Atmospheric Physics","ror":"https://ror.org/0424h4e32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210152758"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Xin","raw_affiliation_strings":["College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China","State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China","institution_ids":["https://openalex.org/I4210152758","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007100017"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210152758","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.8135,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84538987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"14","issue":"17","first_page":"4169","last_page":"4169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9994999766349792,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9980999827384949,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/teleconnection","display_name":"Teleconnection","score":0.6418411731719971},{"id":"https://openalex.org/keywords/northern-hemisphere","display_name":"Northern Hemisphere","score":0.5693191289901733},{"id":"https://openalex.org/keywords/plateau","display_name":"Plateau (mathematics)","score":0.5559899806976318},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.5451911091804504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5120359063148499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48337095975875854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47785159945487976},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4596630334854126},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4220423698425293},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4163099229335785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24527350068092346},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23850291967391968}],"concepts":[{"id":"https://openalex.org/C123576220","wikidata":"https://www.wikidata.org/wiki/Q3982797","display_name":"Teleconnection","level":3,"score":0.6418411731719971},{"id":"https://openalex.org/C2778835443","wikidata":"https://www.wikidata.org/wiki/Q39061","display_name":"Northern Hemisphere","level":2,"score":0.5693191289901733},{"id":"https://openalex.org/C2780030769","wikidata":"https://www.wikidata.org/wiki/Q4968575","display_name":"Plateau (mathematics)","level":2,"score":0.5559899806976318},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.5451911091804504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5120359063148499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48337095975875854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47785159945487976},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4596630334854126},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4220423698425293},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4163099229335785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24527350068092346},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23850291967391968},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C507956050","wikidata":"https://www.wikidata.org/wiki/Q14524818","display_name":"El Ni\u00f1o Southern Oscillation","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14174169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174169","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4169/pdf?version=1661409132","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:9f72cd017a2d41ffbe51a2469102b970","is_oa":true,"landing_page_url":"https://doaj.org/article/9f72cd017a2d41ffbe51a2469102b970","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 14, Iss 17, p 4169 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/17/4169/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14174169","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; Volume 14; Issue 17; Pages: 4169","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14174169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174169","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4169/pdf?version=1661409132","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","id":"https://metadata.un.org/sdg/13","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G8656474326","display_name":null,"funder_award_id":"XDA19070404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8722534959","display_name":null,"funder_award_id":"42030602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293207157.pdf","grobid_xml":"https://content.openalex.org/works/W4293207157.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W115067107","https://openalex.org/W261657087","https://openalex.org/W1863529719","https://openalex.org/W1927766753","https://openalex.org/W1970212762","https://openalex.org/W1995338196","https://openalex.org/W2013883362","https://openalex.org/W2024585363","https://openalex.org/W2046274250","https://openalex.org/W2053789956","https://openalex.org/W2088548373","https://openalex.org/W2093429038","https://openalex.org/W2095539212","https://openalex.org/W2101306886","https://openalex.org/W2108921791","https://openalex.org/W2142708715","https://openalex.org/W2145979309","https://openalex.org/W2146644249","https://openalex.org/W2150046129","https://openalex.org/W2150897391","https://openalex.org/W2159582756","https://openalex.org/W2164092415","https://openalex.org/W2180148207","https://openalex.org/W2180633021","https://openalex.org/W2192903501","https://openalex.org/W2367246026","https://openalex.org/W2393036582","https://openalex.org/W2566514300","https://openalex.org/W2600699541","https://openalex.org/W2607347261","https://openalex.org/W2747155557","https://openalex.org/W2756195344","https://openalex.org/W2768348081","https://openalex.org/W2783117129","https://openalex.org/W2789394811","https://openalex.org/W2803556838","https://openalex.org/W2807183195","https://openalex.org/W2872473888","https://openalex.org/W2895279794","https://openalex.org/W2947567027","https://openalex.org/W2949676527","https://openalex.org/W2962768350","https://openalex.org/W2962862931","https://openalex.org/W2969752514","https://openalex.org/W2969945043","https://openalex.org/W2973731563","https://openalex.org/W2974527409","https://openalex.org/W2981226260","https://openalex.org/W2984210006","https://openalex.org/W2999615587","https://openalex.org/W3004983206","https://openalex.org/W3011178959","https://openalex.org/W3014372673","https://openalex.org/W3019767930","https://openalex.org/W3027373996","https://openalex.org/W3034066845","https://openalex.org/W3048168082","https://openalex.org/W3081072230","https://openalex.org/W3082226672","https://openalex.org/W3082471186","https://openalex.org/W3083193624","https://openalex.org/W3096052669","https://openalex.org/W3104656040","https://openalex.org/W3106063097","https://openalex.org/W3119987766","https://openalex.org/W3121715254","https://openalex.org/W3155654404","https://openalex.org/W3159574193","https://openalex.org/W3168227557","https://openalex.org/W3183706855","https://openalex.org/W3202525453","https://openalex.org/W3210894824","https://openalex.org/W4205252595","https://openalex.org/W4205651057","https://openalex.org/W4206030016","https://openalex.org/W4221131803","https://openalex.org/W6737947904","https://openalex.org/W6795080367","https://openalex.org/W6796113562","https://openalex.org/W6910681941"],"related_works":["https://openalex.org/W2909230331","https://openalex.org/W2027244158","https://openalex.org/W2079942935","https://openalex.org/W2034505992","https://openalex.org/W2357359739","https://openalex.org/W2382351332","https://openalex.org/W4402038826","https://openalex.org/W2910486150","https://openalex.org/W1978119940","https://openalex.org/W4405104327"],"abstract_inverted_index":{"The":[0,68,78],"thermal":[1],"condition":[2],"over":[3],"the":[4,13,19,51,64,74,82,101,104,107,115,121,134,148],"Tibetan":[5],"Plateau":[6],"(TP)":[7],"plays":[8],"a":[9],"vital":[10],"role":[11],"in":[12,103],"South":[14],"Asian":[15,20],"high":[16],"(SAH)":[17],"and":[18,44,58,66,96,125,128,146],"summer":[21],"monsoon":[22],"(ASM);":[23],"however,":[24],"its":[25],"prediction":[26,79,149],"skill":[27],"is":[28],"still":[29],"low.":[30],"Here,":[31],"two":[32,91],"machine":[33,75,83],"learning":[34,76,84],"models":[35,85,95],"are":[36,47,61,70,86,118],"employed":[37],"to":[38,49,141],"address":[39],"this":[40],"problem.":[41],"Expert":[42],"knowledge":[43],"distance":[45],"correlation":[46],"used":[48],"select":[50],"predictors":[52,65,69,117],"from":[53,120],"observational":[54],"datasets.":[55],"Both":[56],"linear":[57],"nonlinear":[59,131],"relationships":[60,132],"considered":[62],"between":[63],"predictands.":[67,135],"utilized":[71],"for":[72],"training":[73],"models.":[77],"skills":[80],"of":[81,90,100,150],"higher":[87],"than":[88],"those":[89],"state-of-the-art":[92],"dynamic":[93],"operational":[94],"can":[97,138],"explain":[98],"67%":[99],"variance":[102],"observations.":[105],"Moreover,":[106],"SHapley":[108],"Additive":[109],"exPlanation":[110],"method":[111],"results":[112,137],"indicate":[113],"that":[114],"important":[116],"mainly":[119],"Southern":[122],"Hemisphere,":[123],"Eurasia,":[124],"western":[126],"Pacific,":[127],"most":[129],"show":[130],"with":[133],"Our":[136],"be":[139],"applied":[140],"find":[142],"potential":[143],"climate":[144,152],"teleconnections":[145],"improve":[147],"other":[151],"signals.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}