Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil

Detalhes bibliográficos
Autor(a) principal: Melo, Tirzah Moreira de
Data de Publicação: 2015
Outros Autores: Louzada, José Antônio Saldanha, Pedrollo, Olavo Correa
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/246988
Resumo: Probably the most important environmental challenge of this century is to adapt to climate change and develop strategies to minimize its effects. This study aims to conduct an investigation to detect changes in temperature and precipitation in the northwest region of Rio Grande do Sul with the use of different general and regional circulation models (GCMs and RCMs, respectively). Seven distinct locations in the region were considered, for which there were ten different climate projections. Additionally, we investigated the frequency and intensity of extreme rainfall events using different extreme precipitation indices. These projections indicate an increase of mean annual temperature of almost 3˚C till the end of the century, as well as an increase in annual precipitation. The seasonal analysis has demonstrated that the largest increases of temperature are projected for winter and early spring and do not coincide with the summer months of the main crop cultivation (soybean) in the region. Additionally, it is expected high amounts of rain during these same months. In general, trends in extreme precipitation indices were detected for the RCM projections in most of locations. It can also be concluded that it is possible that the spatial distribution of the impacts of climate change on agriculture will not be uniform.
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spelling Melo, Tirzah Moreira deLouzada, José Antônio SaldanhaPedrollo, Olavo Correa2022-08-16T04:47:28Z20152167-9495http://hdl.handle.net/10183/246988000967635Probably the most important environmental challenge of this century is to adapt to climate change and develop strategies to minimize its effects. This study aims to conduct an investigation to detect changes in temperature and precipitation in the northwest region of Rio Grande do Sul with the use of different general and regional circulation models (GCMs and RCMs, respectively). Seven distinct locations in the region were considered, for which there were ten different climate projections. Additionally, we investigated the frequency and intensity of extreme rainfall events using different extreme precipitation indices. These projections indicate an increase of mean annual temperature of almost 3˚C till the end of the century, as well as an increase in annual precipitation. The seasonal analysis has demonstrated that the largest increases of temperature are projected for winter and early spring and do not coincide with the summer months of the main crop cultivation (soybean) in the region. Additionally, it is expected high amounts of rain during these same months. In general, trends in extreme precipitation indices were detected for the RCM projections in most of locations. It can also be concluded that it is possible that the spatial distribution of the impacts of climate change on agriculture will not be uniform.application/pdfporAmerican Journal of Climate Change. Delaware : Scientific Research Publishing. Vol. 4 (2015), p. 187-202Mudanças climáticasModelos atmosfericosPrecipitaçãoAgriculturaRio Grande do SulClimate ChangeClimate ModelsExtreme Precipitation IndicesAgricultureTrends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, BrazilEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT000967635.pdf.txt000967635.pdf.txtExtracted Texttext/plain54914http://www.lume.ufrgs.br/bitstream/10183/246988/2/000967635.pdf.txt2063a407cfee2097193c2218264f795bMD52ORIGINAL000967635.pdfTexto completo (inglês)application/pdf1808751http://www.lume.ufrgs.br/bitstream/10183/246988/1/000967635.pdf7c33142b4d0b5f2dcefb171866a33a2aMD5110183/2469882022-08-17 04:49:28.448785oai:www.lume.ufrgs.br:10183/246988Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2022-08-17T07:49:28Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
title Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
spellingShingle Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
Melo, Tirzah Moreira de
Mudanças climáticas
Modelos atmosfericos
Precipitação
Agricultura
Rio Grande do Sul
Climate Change
Climate Models
Extreme Precipitation Indices
Agriculture
title_short Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
title_full Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
title_fullStr Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
title_full_unstemmed Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
title_sort Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
author Melo, Tirzah Moreira de
author_facet Melo, Tirzah Moreira de
Louzada, José Antônio Saldanha
Pedrollo, Olavo Correa
author_role author
author2 Louzada, José Antônio Saldanha
Pedrollo, Olavo Correa
author2_role author
author
dc.contributor.author.fl_str_mv Melo, Tirzah Moreira de
Louzada, José Antônio Saldanha
Pedrollo, Olavo Correa
dc.subject.por.fl_str_mv Mudanças climáticas
Modelos atmosfericos
Precipitação
Agricultura
Rio Grande do Sul
topic Mudanças climáticas
Modelos atmosfericos
Precipitação
Agricultura
Rio Grande do Sul
Climate Change
Climate Models
Extreme Precipitation Indices
Agriculture
dc.subject.eng.fl_str_mv Climate Change
Climate Models
Extreme Precipitation Indices
Agriculture
description Probably the most important environmental challenge of this century is to adapt to climate change and develop strategies to minimize its effects. This study aims to conduct an investigation to detect changes in temperature and precipitation in the northwest region of Rio Grande do Sul with the use of different general and regional circulation models (GCMs and RCMs, respectively). Seven distinct locations in the region were considered, for which there were ten different climate projections. Additionally, we investigated the frequency and intensity of extreme rainfall events using different extreme precipitation indices. These projections indicate an increase of mean annual temperature of almost 3˚C till the end of the century, as well as an increase in annual precipitation. The seasonal analysis has demonstrated that the largest increases of temperature are projected for winter and early spring and do not coincide with the summer months of the main crop cultivation (soybean) in the region. Additionally, it is expected high amounts of rain during these same months. In general, trends in extreme precipitation indices were detected for the RCM projections in most of locations. It can also be concluded that it is possible that the spatial distribution of the impacts of climate change on agriculture will not be uniform.
publishDate 2015
dc.date.issued.fl_str_mv 2015
dc.date.accessioned.fl_str_mv 2022-08-16T04:47:28Z
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dc.language.iso.fl_str_mv por
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dc.relation.ispartof.pt_BR.fl_str_mv American Journal of Climate Change. Delaware : Scientific Research Publishing. Vol. 4 (2015), p. 187-202
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