Rainfall trends for the State of Paraná: present and future climate
This paper analyzes the variability and the precipitation trend of the State of Paraná, in Brazil. For that, monthly precipitation data belonging to 24 precipitation stations in a 30-year period (1980-2010) were analyzed and they were compared with projections of precipitation for the years 2016-205...
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Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
2019-04-01
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doaj-8b89d44583804c28af97351e1bebe3fb2020-11-24T21:43:05ZengInstituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)Revista Ambiente & Água1980-993X2019-04-0114211310.4136/ambi-agua.2258Rainfall trends for the State of Paraná: present and future climateLuciana Espindula de Quadros0Eloy Lemos de Mello1Benedito Martins Gomes2Fernanda Cristina Araujo3Instituto Federal do Paraná (IFPR), Foz do Iguaçu, PR, BrasilUniversidade Estadual do Oeste do Paraná (UNIOESTE), Cascavel, PR, BrasilUniversidade Estadual do Oeste do Paraná (UNIOESTE), Cascavel, PR, BrasilUniversidade Estadual do Oeste do Paraná (UNIOESTE), Cascavel, PR, BrasilThis paper analyzes the variability and the precipitation trend of the State of Paraná, in Brazil. For that, monthly precipitation data belonging to 24 precipitation stations in a 30-year period (1980-2010) were analyzed and they were compared with projections of precipitation for the years 2016-2050. These data were simulated by Eta/Miroc5 for RCP 4.5 (Representative Concentration Pathways) from the Center for Weather Forecasting and Climate Studies CPTEC/INPE and the historical data of precipitation were taken from National Water Agency (ANA). The Mann-Kendall non-parametric test and the Sen’s slope estimator were applied to detect trends and magnitudes, respectively. The Mann-Whitney test was used to compare the median of the historical series (1980-2010) with the simulated series (2016-2050) and the comparison of the means between the two series was performed by Test t. The results draw attention to the great variability and significant changes in the monthly average rainfall that may occur, if the climate change scenarios that were considered become a reality in the near future.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2019000200311&lng=en&nrm=iso&tlng=enclimate changesclimate modelsprecipitation variability. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Luciana Espindula de Quadros Eloy Lemos de Mello Benedito Martins Gomes Fernanda Cristina Araujo |
spellingShingle |
Luciana Espindula de Quadros Eloy Lemos de Mello Benedito Martins Gomes Fernanda Cristina Araujo Rainfall trends for the State of Paraná: present and future climate Revista Ambiente & Água climate changes climate models precipitation variability. |
author_facet |
Luciana Espindula de Quadros Eloy Lemos de Mello Benedito Martins Gomes Fernanda Cristina Araujo |
author_sort |
Luciana Espindula de Quadros |
title |
Rainfall trends for the State of Paraná: present and future climate |
title_short |
Rainfall trends for the State of Paraná: present and future climate |
title_full |
Rainfall trends for the State of Paraná: present and future climate |
title_fullStr |
Rainfall trends for the State of Paraná: present and future climate |
title_full_unstemmed |
Rainfall trends for the State of Paraná: present and future climate |
title_sort |
rainfall trends for the state of paraná: present and future climate |
publisher |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) |
series |
Revista Ambiente & Água |
issn |
1980-993X |
publishDate |
2019-04-01 |
description |
This paper analyzes the variability and the precipitation trend of the State of Paraná, in Brazil. For that, monthly precipitation data belonging to 24 precipitation stations in a 30-year period (1980-2010) were analyzed and they were compared with projections of precipitation for the years 2016-2050. These data were simulated by Eta/Miroc5 for RCP 4.5 (Representative Concentration Pathways) from the Center for Weather Forecasting and Climate Studies CPTEC/INPE and the historical data of precipitation were taken from National Water Agency (ANA). The Mann-Kendall non-parametric test and the Sen’s slope estimator were applied to detect trends and magnitudes, respectively. The Mann-Whitney test was used to compare the median of the historical series (1980-2010) with the simulated series (2016-2050) and the comparison of the means between the two series was performed by Test t. The results draw attention to the great variability and significant changes in the monthly average rainfall that may occur, if the climate change scenarios that were considered become a reality in the near future. |
topic |
climate changes climate models precipitation variability. |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2019000200311&lng=en&nrm=iso&tlng=en |
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