EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS

Detalhes bibliográficos
Autor(a) principal: Resende, Nicole Costa
Data de Publicação: 2017
Outros Autores: Miranda, Jarbas Honório
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Climatologia (Online)
Texto Completo: https://revistas.ufpr.br/revistaabclima/article/view/48032
Resumo: Observed data from different parts of the world shows that many natural systems are being affected by regional climate changes. Some models has been used as a tool to help studies to evaluate the impacts of climate changes in different sectors.However, this models has some errors due to the parametrization necessary in this models and also due to the streamline equations in order to describe a chaotic system. This issue make essential to conduct research in order to verify the regions where these errors are more prominent. The aim of this research is evaluate the climate scenarios given by CMIP5 models by studying the associated errors of this modeling. Also, is described the climatology and the possible changes of climate and extreme events in the region according to different scenarios of projections. The model IPSL(CM5MR) was founded as the most accurate for the analyzed region, although the model presented tendency of underestimation of precipitation and average and maximum temperature between 1901 to 2005. Regarding to minimum temperature this models has tendency to overestimation. Regarding to the indexes of extreme events, we noticed that most of them showed good performance. The model shows tendency of increasing of precipitation and increase of occurrence of extreme events, mostly of accumulated precipitation in one and 5 days. Consecutive wet days also may increase. It is also noticed decreasing of number of frost days and icing day and increasing of number of summer days.
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spelling EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELSCMIP5, extreme events, climate changes, IllinoisObserved data from different parts of the world shows that many natural systems are being affected by regional climate changes. Some models has been used as a tool to help studies to evaluate the impacts of climate changes in different sectors.However, this models has some errors due to the parametrization necessary in this models and also due to the streamline equations in order to describe a chaotic system. This issue make essential to conduct research in order to verify the regions where these errors are more prominent. The aim of this research is evaluate the climate scenarios given by CMIP5 models by studying the associated errors of this modeling. Also, is described the climatology and the possible changes of climate and extreme events in the region according to different scenarios of projections. The model IPSL(CM5MR) was founded as the most accurate for the analyzed region, although the model presented tendency of underestimation of precipitation and average and maximum temperature between 1901 to 2005. Regarding to minimum temperature this models has tendency to overestimation. Regarding to the indexes of extreme events, we noticed that most of them showed good performance. The model shows tendency of increasing of precipitation and increase of occurrence of extreme events, mostly of accumulated precipitation in one and 5 days. Consecutive wet days also may increase. It is also noticed decreasing of number of frost days and icing day and increasing of number of summer days. Universidade Federal do ParanáCNPq, USP, ESALQResende, Nicole CostaMiranda, Jarbas Honório2017-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/revistaabclima/article/view/4803210.5380/abclima.v21i0.48032Revista Brasileira de Climatologia; v. 21 (2017): Ahead of Print2237-86421980-055X10.5380/abclima.v21i0reponame:Revista Brasileira de Climatologia (Online)instname:ABClimainstacron:ABCLIMAenghttps://revistas.ufpr.br/revistaabclima/article/view/48032/34242Direitos autorais 2017 Nicole Costa Resendeinfo:eu-repo/semantics/openAccess2017-12-21T11:20:42Zoai:revistas.ufpr.br:article/48032Revistahttps://revistas.ufpr.br/revistaabclima/indexPUBhttps://revistas.ufpr.br/revistaabclima/oaiegalvani@usp.br || rbclima2014@gmail.com2237-86421980-055Xopendoar:2017-12-21T11:20:42Revista Brasileira de Climatologia (Online) - ABClimafalse
dc.title.none.fl_str_mv EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
title EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
spellingShingle EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
Resende, Nicole Costa
CMIP5, extreme events, climate changes, Illinois
title_short EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
title_full EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
title_fullStr EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
title_full_unstemmed EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
title_sort EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
author Resende, Nicole Costa
author_facet Resende, Nicole Costa
Miranda, Jarbas Honório
author_role author
author2 Miranda, Jarbas Honório
author2_role author
dc.contributor.none.fl_str_mv CNPq, USP, ESALQ
dc.contributor.author.fl_str_mv Resende, Nicole Costa
Miranda, Jarbas Honório
dc.subject.por.fl_str_mv CMIP5, extreme events, climate changes, Illinois
topic CMIP5, extreme events, climate changes, Illinois
description Observed data from different parts of the world shows that many natural systems are being affected by regional climate changes. Some models has been used as a tool to help studies to evaluate the impacts of climate changes in different sectors.However, this models has some errors due to the parametrization necessary in this models and also due to the streamline equations in order to describe a chaotic system. This issue make essential to conduct research in order to verify the regions where these errors are more prominent. The aim of this research is evaluate the climate scenarios given by CMIP5 models by studying the associated errors of this modeling. Also, is described the climatology and the possible changes of climate and extreme events in the region according to different scenarios of projections. The model IPSL(CM5MR) was founded as the most accurate for the analyzed region, although the model presented tendency of underestimation of precipitation and average and maximum temperature between 1901 to 2005. Regarding to minimum temperature this models has tendency to overestimation. Regarding to the indexes of extreme events, we noticed that most of them showed good performance. The model shows tendency of increasing of precipitation and increase of occurrence of extreme events, mostly of accumulated precipitation in one and 5 days. Consecutive wet days also may increase. It is also noticed decreasing of number of frost days and icing day and increasing of number of summer days.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-21
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/revistaabclima/article/view/48032
10.5380/abclima.v21i0.48032
url https://revistas.ufpr.br/revistaabclima/article/view/48032
identifier_str_mv 10.5380/abclima.v21i0.48032
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/revistaabclima/article/view/48032/34242
dc.rights.driver.fl_str_mv Direitos autorais 2017 Nicole Costa Resende
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2017 Nicole Costa Resende
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv


dc.publisher.none.fl_str_mv Universidade Federal do Paraná
publisher.none.fl_str_mv Universidade Federal do Paraná
dc.source.none.fl_str_mv Revista Brasileira de Climatologia; v. 21 (2017): Ahead of Print
2237-8642
1980-055X
10.5380/abclima.v21i0
reponame:Revista Brasileira de Climatologia (Online)
instname:ABClima
instacron:ABCLIMA
instname_str ABClima
instacron_str ABCLIMA
institution ABCLIMA
reponame_str Revista Brasileira de Climatologia (Online)
collection Revista Brasileira de Climatologia (Online)
repository.name.fl_str_mv Revista Brasileira de Climatologia (Online) - ABClima
repository.mail.fl_str_mv egalvani@usp.br || rbclima2014@gmail.com
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