{"id":"https://openalex.org/W2015051446","doi":"https://doi.org/10.1155/2014/595462","title":"Downscaling Statistical Model Techniques for Climate Change Analysis Applied to the Amazon Region","display_name":"Downscaling Statistical Model Techniques for Climate Change Analysis Applied to the Amazon Region","publication_year":2014,"publication_date":"2014-05-29","ids":{"openalex":"https://openalex.org/W2015051446","doi":"https://doi.org/10.1155/2014/595462","mag":"2015051446"},"language":"en","primary_location":{"id":"doi:10.1155/2014/595462","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/595462","pdf_url":"https://downloads.hindawi.com/archive/2014/595462.pdf","source":{"id":"https://openalex.org/S202405347","display_name":"Advances in Artificial Neural Systems","issn_l":"1687-7594","issn":["1687-7594","1687-7608"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Neural Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/archive/2014/595462.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031252651","display_name":"David Mendes","orcid":"https://orcid.org/0000-0003-1418-5109"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"David Mendes","raw_affiliation_strings":["Climate Science Program, Federal University of Rio Grande do Norte, 59082-200 Natal, RN, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Climate Science Program, Federal University of Rio Grande do Norte, 59082-200 Natal, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058124929","display_name":"Jos\u00e9 A. Marengo","orcid":"https://orcid.org/0000-0001-8578-7639"},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Antonio Marengo","raw_affiliation_strings":["Instituto Nacional de Pesquisas Espaciais (INPE), Avenida dos Astronautas, 1.758 Jardim da Granja, 12227-010 S\u00e3o Jos\u00e9 dos Campos, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Pesquisas Espaciais (INPE), Avenida dos Astronautas, 1.758 Jardim da Granja, 12227-010 S\u00e3o Jos\u00e9 dos Campos, SP, Brazil","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110023696","display_name":"Sidney Rodrigues","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142934","display_name":"Fundo Brasil","ror":"https://ror.org/052zq7x94","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210142934"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sidney Rodrigues","raw_affiliation_strings":["World Wild Life Fund Brazil (WWF), SHIS EQ QL 6/8 Conjunto, 71620-430 Brasilia, DF, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"World Wild Life Fund Brazil (WWF), SHIS EQ QL 6/8 Conjunto, 71620-430 Brasilia, DF, Brazil","institution_ids":["https://openalex.org/I4210142934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005236354","display_name":"Magaly Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142934","display_name":"Fundo Brasil","ror":"https://ror.org/052zq7x94","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210142934"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Magaly Oliveira","raw_affiliation_strings":["World Wild Life Fund Brazil (WWF), SHIS EQ QL 6/8 Conjunto, 71620-430 Brasilia, DF, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"World Wild Life Fund Brazil (WWF), SHIS EQ QL 6/8 Conjunto, 71620-430 Brasilia, DF, Brazil","institution_ids":["https://openalex.org/I4210142934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031252651"],"corresponding_institution_ids":["https://openalex.org/I35046152"],"apc_list":null,"apc_paid":null,"fwci":0.2386,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63156763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2014","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9965000152587891,"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":0.9965000152587891,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9453999996185303,"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":0.9233999848365784,"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/downscaling","display_name":"Downscaling","score":0.9372357726097107},{"id":"https://openalex.org/keywords/amazon-rainforest","display_name":"Amazon rainforest","score":0.9321484565734863},{"id":"https://openalex.org/keywords/biome","display_name":"Biome","score":0.8786835670471191},{"id":"https://openalex.org/keywords/deforestation","display_name":"Deforestation (computer science)","score":0.5793383121490479},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.5729241371154785},{"id":"https://openalex.org/keywords/rainforest","display_name":"Rainforest","score":0.5612902045249939},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5598308444023132},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.5587843656539917},{"id":"https://openalex.org/keywords/woodland","display_name":"Woodland","score":0.5161477327346802},{"id":"https://openalex.org/keywords/climate-model","display_name":"Climate model","score":0.48260796070098877},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.46832209825515747},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4433344602584839},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.360365092754364},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.3572908937931061},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.24517446756362915},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.21404477953910828},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.2030312418937683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.14053553342819214},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09656724333763123}],"concepts":[{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.9372357726097107},{"id":"https://openalex.org/C535291247","wikidata":"https://www.wikidata.org/wiki/Q177567","display_name":"Amazon rainforest","level":2,"score":0.9321484565734863},{"id":"https://openalex.org/C89920630","wikidata":"https://www.wikidata.org/wiki/Q101998","display_name":"Biome","level":3,"score":0.8786835670471191},{"id":"https://openalex.org/C2777399953","wikidata":"https://www.wikidata.org/wiki/Q2155658","display_name":"Deforestation (computer science)","level":2,"score":0.5793383121490479},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.5729241371154785},{"id":"https://openalex.org/C2619416","wikidata":"https://www.wikidata.org/wiki/Q9444","display_name":"Rainforest","level":2,"score":0.5612902045249939},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5598308444023132},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.5587843656539917},{"id":"https://openalex.org/C203174812","wikidata":"https://www.wikidata.org/wiki/Q3241565","display_name":"Woodland","level":2,"score":0.5161477327346802},{"id":"https://openalex.org/C168754636","wikidata":"https://www.wikidata.org/wiki/Q620920","display_name":"Climate model","level":3,"score":0.48260796070098877},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.46832209825515747},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4433344602584839},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.360365092754364},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.3572908937931061},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.24517446756362915},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.21404477953910828},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.2030312418937683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.14053553342819214},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09656724333763123},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2014/595462","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/595462","pdf_url":"https://downloads.hindawi.com/archive/2014/595462.pdf","source":{"id":"https://openalex.org/S202405347","display_name":"Advances in Artificial Neural Systems","issn_l":"1687-7594","issn":["1687-7594","1687-7608"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Neural Systems","raw_type":"journal-article"},{"id":"pmh:oai:https://repositorio.ufrn.br:123456789/29241","is_oa":true,"landing_page_url":"https://repositorio.ufrn.br/jspui/handle/123456789/29241","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da UFRN","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1155/2014/595462","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/595462","pdf_url":"https://downloads.hindawi.com/archive/2014/595462.pdf","source":{"id":"https://openalex.org/S202405347","display_name":"Advances in Artificial Neural Systems","issn_l":"1687-7594","issn":["1687-7594","1687-7608"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Neural Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306557","display_name":"World Wildlife Fund","ror":"https://ror.org/011590k05"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2015051446.pdf","grobid_xml":"https://content.openalex.org/works/W2015051446.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W82706811","https://openalex.org/W1482786581","https://openalex.org/W1621450917","https://openalex.org/W1675638317","https://openalex.org/W1971159558","https://openalex.org/W1990783472","https://openalex.org/W1993656259","https://openalex.org/W2001039352","https://openalex.org/W2001351412","https://openalex.org/W2012282444","https://openalex.org/W2017905495","https://openalex.org/W2019844743","https://openalex.org/W2025548323","https://openalex.org/W2035805097","https://openalex.org/W2080142653","https://openalex.org/W2084767784","https://openalex.org/W2104469156","https://openalex.org/W2126027850","https://openalex.org/W2130875299","https://openalex.org/W2142121732","https://openalex.org/W2142673943","https://openalex.org/W2149460854","https://openalex.org/W2151192765","https://openalex.org/W2176164184","https://openalex.org/W2176179542","https://openalex.org/W2325343629","https://openalex.org/W2764433274","https://openalex.org/W6922276334"],"related_works":["https://openalex.org/W2394436593","https://openalex.org/W3013458534","https://openalex.org/W3010558748","https://openalex.org/W2526815458","https://openalex.org/W4220911053","https://openalex.org/W2380042710","https://openalex.org/W2944582722","https://openalex.org/W2586774764","https://openalex.org/W4377833746","https://openalex.org/W2232025267"],"abstract_inverted_index":{"The":[0],"Amazon":[1,37,78,126,145],"is":[2,122,167],"an":[3],"area":[4,92],"covered":[5],"predominantly":[6],"by":[7],"dense":[8],"tropical":[9,45],"rainforest":[10],"with":[11,58,177,187],"relatively":[12],"small":[13],"inclusions":[14],"of":[15,19,35,41,54,76,89,96,100,143,156,164,173,183,189],"several":[16],"other":[17],"types":[18],"vegetation.":[20],"In":[21],"the":[22,33,36,39,42,59,74,77,81,87,90,94,116,125,141,144,148,154,162,171,178,181,200],"last":[23],"decades,":[24],"scientific":[25],"research":[26],"has":[27],"suggested":[28],"a":[29,110,204],"strong":[30],"link":[31],"between":[32],"health":[34],"and":[38,47,56,61,70,86,98,108,133,153,185,192,195],"integrity":[40],"global":[43,82,149],"climate:":[44],"forests":[46],"woodlands":[48],"(e.g.,":[49,138],"savannas)":[50],"exchange":[51],"vast":[52],"amounts":[53],"water":[55],"energy":[57],"atmosphere":[60],"are":[62],"thought":[63],"to":[64,80,124,130,147],"be":[65],"important":[66],"in":[67,93,128,180,199],"controlling":[68],"local":[69,134],"regional":[71,132],"climates.":[72],"Consider":[73],"importance":[75,142],"biome":[79,146],"climate":[83,135,150,160],"changes":[84,151],"impacts":[85,152],"role":[88],"protected":[91],"conservation":[95],"biodiversity":[97],"state-of-art":[99,155],"downscaling":[101,111,157],"model":[102,112],"techniques":[103,158],"based":[104,114],"on":[105,115],"ANN":[106],"Calibrate":[107],"run":[109],"technique":[113],"Artificial":[117],"Neural":[118],"Network":[119],"(ANN)":[120],"that":[121],"applied":[123],"region":[127],"order":[129],"obtain":[131],"predicted":[136],"data":[137],"precipitation).":[139],"Considering":[140],"for":[159],"models,":[161],"shower":[163],"this":[165],"work":[166],"presented":[168],"as":[169],"follows:":[170],"use":[172],"ANNs":[174],"good":[175,205],"similarity":[176],"observation":[179],"cities":[182],"Bel\u00e9m":[184],"Manaus,":[186],"correlations":[188],"approximately":[190],"88.9%":[191],"91.3%,":[193],"respectively,":[194],"spatial":[196],"distribution,":[197],"especially":[198],"correction":[201],"process,":[202],"representing":[203],"fit.":[206]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}