EVALUATION OF CLIMATE SCENARIOS PROJECTIONS AND ASSOCIATED ERRORS IN A REGION IN ILLINOIS (USA) ACCORDING TO CMIP5 MODELS
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
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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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 |
_version_ |
1754839541510832128 |