{"id":"https://openalex.org/W4360864624","doi":"https://doi.org/10.3390/rs15071728","title":"A Hybrid ENSO Prediction System Based on the FIO\u2212CPS and XGBoost Algorithm","display_name":"A Hybrid ENSO Prediction System Based on the FIO\u2212CPS and XGBoost Algorithm","publication_year":2023,"publication_date":"2023-03-23","ids":{"openalex":"https://openalex.org/W4360864624","doi":"https://doi.org/10.3390/rs15071728"},"language":"en","primary_location":{"id":"doi:10.3390/rs15071728","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15071728","pdf_url":"https://www.mdpi.com/2072-4292/15/7/1728/pdf?version=1679563960","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/2072-4292/15/7/1728/pdf?version=1679563960","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081605155","display_name":"Zhiyuan Kuang","orcid":"https://orcid.org/0009-0008-0054-0353"},"institutions":[{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Kuang","raw_affiliation_strings":["First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112206428","display_name":"Yajuan Song","orcid":null},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajuan Song","raw_affiliation_strings":["First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103000998","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-7806-6718"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["China Meteorological Administration Key Laboratory for Climate Prediction Studies, National Climate Center, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"China Meteorological Administration Key Laboratory for Climate Prediction Studies, National Climate Center, Beijing 100081, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007199104","display_name":"Qiuying Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuying Fu","raw_affiliation_strings":["First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015570111","display_name":"Qi Shu","orcid":"https://orcid.org/0000-0003-4781-571X"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Shu","raw_affiliation_strings":["First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028940184","display_name":"Fangli Qiao","orcid":"https://orcid.org/0000-0002-5829-4780"},"institutions":[{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangli Qiao","raw_affiliation_strings":["First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004873221","display_name":"Zhenya Song","orcid":"https://orcid.org/0000-0002-8098-5529"},"institutions":[{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenya Song","raw_affiliation_strings":["First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5004873221"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210114556"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.8154,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69627444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"15","issue":"7","first_page":"1728","last_page":"1728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9998999834060669,"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":0.9998999834060669,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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":0.9990000128746033,"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/el-ni\u00f1o-southern-oscillation","display_name":"El Ni\u00f1o Southern Oscillation","score":0.6858750581741333},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.5538632869720459},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"Sea surface temperature","score":0.5529049038887024},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5180838108062744},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5065823793411255},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.45301276445388794},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4402342438697815},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.4318731427192688},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4134630560874939},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4030849039554596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32471513748168945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27581459283828735},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22407934069633484},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20057496428489685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1877504289150238},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.11827513575553894}],"concepts":[{"id":"https://openalex.org/C507956050","wikidata":"https://www.wikidata.org/wiki/Q14524818","display_name":"El Ni\u00f1o Southern Oscillation","level":2,"score":0.6858750581741333},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.5538632869720459},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.5529049038887024},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5180838108062744},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5065823793411255},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.45301276445388794},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4402342438697815},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4318731427192688},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4134630560874939},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4030849039554596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32471513748168945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27581459283828735},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22407934069633484},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20057496428489685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1877504289150238},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.11827513575553894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15071728","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15071728","pdf_url":"https://www.mdpi.com/2072-4292/15/7/1728/pdf?version=1679563960","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:de2595b5383448938acf9fb36df3ba82","is_oa":true,"landing_page_url":"https://doaj.org/article/de2595b5383448938acf9fb36df3ba82","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 15, Iss 7, p 1728 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/7/1728/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15071728","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 15; Issue 7; Pages: 1728","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15071728","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15071728","pdf_url":"https://www.mdpi.com/2072-4292/15/7/1728/pdf?version=1679563960","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":0.7699999809265137,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1341311791","display_name":null,"funder_award_id":"42022042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4521563595","display_name":null,"funder_award_id":"U1806205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5188941550","display_name":null,"funder_award_id":"41821004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5739531042","display_name":null,"funder_award_id":"42175052","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":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4360864624.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W414022885","https://openalex.org/W1482932425","https://openalex.org/W1664745860","https://openalex.org/W1902961291","https://openalex.org/W1977027441","https://openalex.org/W1982750852","https://openalex.org/W1983066276","https://openalex.org/W1985273882","https://openalex.org/W2001017993","https://openalex.org/W2008544706","https://openalex.org/W2009464137","https://openalex.org/W2011267296","https://openalex.org/W2018453656","https://openalex.org/W2019217876","https://openalex.org/W2067154973","https://openalex.org/W2070978615","https://openalex.org/W2088286343","https://openalex.org/W2099019225","https://openalex.org/W2099672912","https://openalex.org/W2103126668","https://openalex.org/W2105238601","https://openalex.org/W2131070146","https://openalex.org/W2140603473","https://openalex.org/W2165698076","https://openalex.org/W2172331698","https://openalex.org/W2175723489","https://openalex.org/W2175816372","https://openalex.org/W2176713701","https://openalex.org/W2273653372","https://openalex.org/W2295598076","https://openalex.org/W2314652141","https://openalex.org/W2578099515","https://openalex.org/W2592305686","https://openalex.org/W2596354642","https://openalex.org/W2613941511","https://openalex.org/W2738516213","https://openalex.org/W2796784080","https://openalex.org/W2883361486","https://openalex.org/W2893696169","https://openalex.org/W2895279794","https://openalex.org/W2897470801","https://openalex.org/W2913267705","https://openalex.org/W2913323966","https://openalex.org/W2922364122","https://openalex.org/W2941649586","https://openalex.org/W2953624046","https://openalex.org/W2968484466","https://openalex.org/W2973731563","https://openalex.org/W3004674660","https://openalex.org/W3004876516","https://openalex.org/W3010349954","https://openalex.org/W3025862531","https://openalex.org/W3044550370","https://openalex.org/W3046782112","https://openalex.org/W3134340517","https://openalex.org/W3159574193","https://openalex.org/W3194456427","https://openalex.org/W3208705446","https://openalex.org/W4205154488","https://openalex.org/W4220888586","https://openalex.org/W4225371750","https://openalex.org/W4250642311","https://openalex.org/W4283207250","https://openalex.org/W4285982419","https://openalex.org/W4288085054","https://openalex.org/W4308413782","https://openalex.org/W4308514105","https://openalex.org/W4308742102","https://openalex.org/W6699076438"],"related_works":["https://openalex.org/W4200496917","https://openalex.org/W1964842106","https://openalex.org/W3164092017","https://openalex.org/W3170340576","https://openalex.org/W2968303164","https://openalex.org/W2379582517","https://openalex.org/W2384929967","https://openalex.org/W4223639896","https://openalex.org/W4304892216","https://openalex.org/W2370343288"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,23,92,197],"of":[2,37,65,101,119,165,203],"the":[3,22,57,62,76,107,120,161,166,201],"El":[4],"Ni\u00f1o\u2013Southern":[5],"Oscillation":[6],"(ENSO)":[7],"is":[8],"crucial":[9],"for":[10,25,128],"climate":[11,196,212],"change":[12],"research":[13,213],"and":[14,17,84,89,113,143,191,199,208,214],"disaster":[15],"prevention":[16],"mitigation.":[18],"In":[19],"recent":[20],"decades,":[21],"skill":[24],"ENSO":[26,58],"has":[27,180],"improved":[28],"significantly;":[29],"however,":[30],"accurate":[31],"forecasting":[32],"at":[33],"a":[34,46,87],"lead":[35,132],"time":[36],"more":[38],"than":[39],"six":[40],"months":[41],"remains":[42],"challenging.":[43],"By":[44],"using":[45],"machine":[47,206],"learning":[48,207],"method":[49],"called":[50],"eXtreme":[51],"Gradient":[52],"Boosting":[53],"(XGBoost),":[54],"we":[55],"corrected":[56],"predicted":[59],"results":[60,104],"from":[61,123,157],"First":[63],"Institute":[64],"Oceanography":[66],"Climate":[67],"Prediction":[68],"System":[69],"version":[70],"2.0":[71],"(FIO\u2212CPS":[72],"v2.0)":[73],"based":[74],"on":[75],"satellite":[77],"remote":[78],"sensing":[79],"sea":[80,162],"surface":[81,163],"temperature":[82],"data,":[83],"then":[85],"developed":[86],"dynamic":[88],"statistical":[90],"hybrid":[91],"model,":[93],"named":[94],"FIO\u2212CPS\u2212HY.":[95],"The":[96,154],"latest":[97],"15":[98],"years":[99],"(2007\u20132021)":[100],"independent":[102],"testing":[103],"showed":[105],"that":[106,160],"average":[108],"anomaly":[109],"correlation":[110],"coefficient":[111],"(ACC)":[112],"root":[114],"mean":[115],"square":[116],"error":[117],"(RMSE)":[118],"Ni\u00f1o3.4":[121,167],"index":[122],"FIO\u2212CPS":[124],"v2.0":[125],"to":[126,130,141,150,193],"FIO\u2212CPS\u2212HY":[127,158,178],"7\u2212":[129],"13\u2212month":[131],"times":[133],"could":[134],"be":[135,171],"increased":[136],"by":[137,145],"57.80%":[138],"(from":[139,147],"0.40":[140],"0.63)":[142],"reduced":[144],"24.79%":[146],"0.86":[148],"\u00b0C":[149],"0.65":[151],"\u00b0C),":[152],"respectively.":[153],"real\u2212time":[155,184],"predictions":[156],"indicated":[159],"state":[164],"area":[168],"would":[169],"likely":[170],"in":[172,175,183,211],"neutral":[173],"conditions":[174],"2023.":[176],"Although":[177],"still":[179],"some":[181],"biases":[182],"prediction,":[185],"this":[186],"study":[187],"provides":[188],"possible":[189],"ideas":[190],"methods":[192],"enhance":[194],"short\u2212term":[195],"ability":[198],"shows":[200],"potential":[202],"integration":[204],"between":[205],"numerical":[209],"models":[210],"applications.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2023-03-25T00:00:00"}
