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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Main Authors: Luciana Espindula de Quadros, Eloy Lemos de Mello, Benedito Martins Gomes, Fernanda Cristina Araujo
Format: Article
Language:English
Published: Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) 2019-04-01
Series:Revista Ambiente & Água
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2019000200311&lng=en&nrm=iso&tlng=en
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spelling 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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AT beneditomartinsgomes rainfalltrendsforthestateofparanapresentandfutureclimate
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