{"id":"https://openalex.org/W2897926287","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8476070","title":"A Timely El Ni\u00f1o-Southern Oscillation Forecast Method Based on Daily Ni\u00f1o Index to Ensure Food Security","display_name":"A Timely El Ni\u00f1o-Southern Oscillation Forecast Method Based on Daily Ni\u00f1o Index to Ensure Food Security","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2897926287","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8476070","mag":"2897926287"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics.2018.8476070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8476070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040669443","display_name":"Yingjian Liu","orcid":"https://orcid.org/0000-0002-3401-2566"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjian Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, P.R. China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051045214","display_name":"Ze Li","orcid":"https://orcid.org/0000-0002-2759-123X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Li","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, P.R. China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101445174","display_name":"Haoyu Yin","orcid":"https://orcid.org/0009-0005-1588-9310"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Yin","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, P.R. China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9932000041007996,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.7858525514602661},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.7076101303100586},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"Sea surface temperature","score":0.69483882188797},{"id":"https://openalex.org/keywords/el-ni\u00f1o-southern-oscillation","display_name":"El Ni\u00f1o Southern Oscillation","score":0.6591142416000366},{"id":"https://openalex.org/keywords/multivariate-enso-index","display_name":"Multivariate ENSO index","score":0.64280104637146},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5475231409072876},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4673272371292114},{"id":"https://openalex.org/keywords/la-ni\u00f1a","display_name":"La Ni\u00f1a","score":0.43289363384246826},{"id":"https://openalex.org/keywords/downscaling","display_name":"Downscaling","score":0.41310185194015503},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3632969558238983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21991628408432007},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19945839047431946},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09877628087997437}],"concepts":[{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.7858525514602661},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7076101303100586},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.69483882188797},{"id":"https://openalex.org/C507956050","wikidata":"https://www.wikidata.org/wiki/Q14524818","display_name":"El Ni\u00f1o Southern Oscillation","level":2,"score":0.6591142416000366},{"id":"https://openalex.org/C119072478","wikidata":"https://www.wikidata.org/wiki/Q17146383","display_name":"Multivariate ENSO index","level":4,"score":0.64280104637146},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5475231409072876},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4673272371292114},{"id":"https://openalex.org/C51040755","wikidata":"https://www.wikidata.org/wiki/Q642867","display_name":"La Ni\u00f1a","level":3,"score":0.43289363384246826},{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.41310185194015503},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3632969558238983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21991628408432007},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19945839047431946},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09877628087997437},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics.2018.8476070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8476070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1522985918","https://openalex.org/W1975572099","https://openalex.org/W1983066276","https://openalex.org/W1995862475","https://openalex.org/W2017886538","https://openalex.org/W2018977279","https://openalex.org/W2047309253","https://openalex.org/W2051880259","https://openalex.org/W2052737230","https://openalex.org/W2084980103","https://openalex.org/W2136830623","https://openalex.org/W2467876771","https://openalex.org/W2535743208","https://openalex.org/W2599312488","https://openalex.org/W4256444905","https://openalex.org/W6644237261"],"related_works":["https://openalex.org/W2259047564","https://openalex.org/W2340743936","https://openalex.org/W2362172399","https://openalex.org/W3023318615","https://openalex.org/W3125727507","https://openalex.org/W2805058154","https://openalex.org/W2095148548","https://openalex.org/W3168201318","https://openalex.org/W2302468977","https://openalex.org/W2288494117"],"abstract_inverted_index":{"The":[0,17,54],"El":[1,169],"Ni\u00f1o-Southern":[2],"Oscillation":[3],"(ENSO)":[4],"is":[5,45,99,148,191],"the":[6,85,93,134,151,160,168,199],"Earth's":[7],"dominant":[8],"inter-annual":[9],"climate":[10],"fluctuation,":[11],"often":[12],"accompanied":[13],"by":[14],"extreme":[15,25],"weathers.":[16],"occurrence":[18],"of":[19,95,136],"drought,":[20],"flood,":[21],"heavy":[22],"rainfall,":[23],"hurricanes,":[24],"cold,":[26],"and":[27,51,123,171,180,197],"so":[28],"on,":[29],"may":[30],"cause":[31],"significant":[32],"crops":[33],"yield":[34],"reduction":[35],"or":[36,63],"even":[37],"no":[38,100],"crop.":[39],"Therefore,":[40],"a":[41,67,73],"timely":[42],"ENSO":[43,57,75,86,104,142,161,183],"forecast":[44,184,200],"critical":[46],"to":[47,83,140,158,166,203],"global":[48],"agricultural":[49],"production":[50],"food":[52],"safety.":[53],"current":[55],"mainstream":[56],"indexes":[58,165,196],"are":[59,176],"based":[60],"on":[61],"monthly":[62,126],"quarterly":[64],"data":[65,121,131,139],"without":[66],"strong":[68],"timeliness.":[69],"This":[70],"paper":[71],"proposes":[72],"new":[74],"index,":[76],"named":[77],"as":[78,150],"Daily":[79],"Ni\u00f1o":[80,144,170],"Index":[81],"(DNI),":[82],"study":[84,102,141],"events":[87,105],"in":[88,106,156],"daily":[89,107,114,138],"temporal":[90,108],"scale.":[91,109],"To":[92],"best":[94],"our":[96],"knowledge,":[97],"there":[98],"previous":[101],"defining":[103],"High":[110],"correlations":[111],"between":[112,178],"NOAA":[113],"Optimum":[115],"Interpolation":[116],"Sea":[117,127],"Surface":[118,128],"Temperature":[119,129],"(OISST)":[120],"set":[122],"some":[124,181],"popular":[125],"(SST)":[130],"sets":[132],"show":[133],"feasibility":[135],"using":[137],"events.":[143,174],"3.4":[145],"SST":[146],"region":[147],"selected":[149],"computational":[152],"domain":[153],"for":[154],"DNI":[155,179,190],"order":[157],"maximize":[159],"signal":[162],"among":[163],"SST-based":[164],"identify":[167],"La":[172],"Ni\u00f1a":[173],"Comparisons":[175],"made":[177],"other":[182,195],"indexes.":[185],"Experiment":[186],"results":[187],"illustrate":[188],"that":[189],"highly":[192],"correlated":[193],"with":[194],"advances":[198],"time":[201],"two":[202],"three":[204],"months":[205],"earlier.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}