Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort

Detalhes bibliográficos
Autor(a) principal: COSTA,RAFAELA L.
Data de Publicação: 2021
Outros Autores: BAPTISTA,GUSTAVO M.M., GOMES,HELIOFÁBIO B., SILVA,FABRÍCIO D.S., ROCHA JÚNIOR,RODRIGO L. DA, NEDEL,ANDERSON S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000101207
Resumo: Abstract A thermal comfort index for the Northeast of Brazil was analyzed for two scenarios of climatic changes, A1B and A2, for 2021-2080, and compared with the reference period 1961-1990. A technique of regionalization was applied to rainfall, maximum and minimum temperature data from meteorological stations, obtained by statistical downscaling of projections from four global climate models. The results pointed to a significant reduction of rainfall and an increase of temperature for three different climatically homogeneous subregions. Regarding the thermal comfort index, the results point to an increase in days with heat discomfort between 2021 and 2080. In the northern portion, the higher percentage of days with heat discomfort will be significant since the first half of the period under appreciation, i.e., from 2021 to 2050. Conversely, in the eastern of northeastern Brazil, the increase of days with heat discomfort should happen in the period from 2051 to 2080, whereas the central-western part of the region, which, in the reference period, had recorded less than 1% of days with heat discomfort, might see an elevation of that percentage to 7% between 2021 and 2050, potentially reaching 48% of its days made uncomfortable by heat between 2051 and 2080.
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spelling Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfortstatistical downscalingtemperaturetrendsKawamura discomfort indexAbstract A thermal comfort index for the Northeast of Brazil was analyzed for two scenarios of climatic changes, A1B and A2, for 2021-2080, and compared with the reference period 1961-1990. A technique of regionalization was applied to rainfall, maximum and minimum temperature data from meteorological stations, obtained by statistical downscaling of projections from four global climate models. The results pointed to a significant reduction of rainfall and an increase of temperature for three different climatically homogeneous subregions. Regarding the thermal comfort index, the results point to an increase in days with heat discomfort between 2021 and 2080. In the northern portion, the higher percentage of days with heat discomfort will be significant since the first half of the period under appreciation, i.e., from 2021 to 2050. Conversely, in the eastern of northeastern Brazil, the increase of days with heat discomfort should happen in the period from 2051 to 2080, whereas the central-western part of the region, which, in the reference period, had recorded less than 1% of days with heat discomfort, might see an elevation of that percentage to 7% between 2021 and 2050, potentially reaching 48% of its days made uncomfortable by heat between 2051 and 2080.Academia Brasileira de Ciências2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000101207Anais da Academia Brasileira de Ciências v.93 n.1 2021reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202120190651info:eu-repo/semantics/openAccessCOSTA,RAFAELA L.BAPTISTA,GUSTAVO M.M.GOMES,HELIOFÁBIO B.SILVA,FABRÍCIO D.S.ROCHA JÚNIOR,RODRIGO L. DANEDEL,ANDERSON S.eng2021-02-18T00:00:00Zoai:scielo:S0001-37652021000101207Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2021-02-18T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort
title Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort
spellingShingle Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort
COSTA,RAFAELA L.
statistical downscaling
temperature
trends
Kawamura discomfort index
title_short Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort
title_full Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort
title_fullStr Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort
title_full_unstemmed Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort
title_sort Analysis of future climate scenarios for northeastern Brazil and implications for human thermal comfort
author COSTA,RAFAELA L.
author_facet COSTA,RAFAELA L.
BAPTISTA,GUSTAVO M.M.
GOMES,HELIOFÁBIO B.
SILVA,FABRÍCIO D.S.
ROCHA JÚNIOR,RODRIGO L. DA
NEDEL,ANDERSON S.
author_role author
author2 BAPTISTA,GUSTAVO M.M.
GOMES,HELIOFÁBIO B.
SILVA,FABRÍCIO D.S.
ROCHA JÚNIOR,RODRIGO L. DA
NEDEL,ANDERSON S.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv COSTA,RAFAELA L.
BAPTISTA,GUSTAVO M.M.
GOMES,HELIOFÁBIO B.
SILVA,FABRÍCIO D.S.
ROCHA JÚNIOR,RODRIGO L. DA
NEDEL,ANDERSON S.
dc.subject.por.fl_str_mv statistical downscaling
temperature
trends
Kawamura discomfort index
topic statistical downscaling
temperature
trends
Kawamura discomfort index
description Abstract A thermal comfort index for the Northeast of Brazil was analyzed for two scenarios of climatic changes, A1B and A2, for 2021-2080, and compared with the reference period 1961-1990. A technique of regionalization was applied to rainfall, maximum and minimum temperature data from meteorological stations, obtained by statistical downscaling of projections from four global climate models. The results pointed to a significant reduction of rainfall and an increase of temperature for three different climatically homogeneous subregions. Regarding the thermal comfort index, the results point to an increase in days with heat discomfort between 2021 and 2080. In the northern portion, the higher percentage of days with heat discomfort will be significant since the first half of the period under appreciation, i.e., from 2021 to 2050. Conversely, in the eastern of northeastern Brazil, the increase of days with heat discomfort should happen in the period from 2051 to 2080, whereas the central-western part of the region, which, in the reference period, had recorded less than 1% of days with heat discomfort, might see an elevation of that percentage to 7% between 2021 and 2050, potentially reaching 48% of its days made uncomfortable by heat between 2051 and 2080.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000101207
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000101207
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202120190651
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.93 n.1 2021
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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