Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil

Detalhes bibliográficos
Autor(a) principal: Aparecido,Lucas Eduardo de Oliveira
Data de Publicação: 2016
Outros Autores: Rolim,Glauco de Souza, Richetti,Jonathan, Souza,Paulo Sergio de, Johann,Jerry Adriani
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000400405
Resumo: ABSTRACT Climate is the set of average atmospheric conditions that characterizes a region. It directly influences the majority of human activities, especially agriculture. Climate classification systems (CCSs) are important tools in the study of agriculture, enabling knowledge of the climatic characteristics of a region. Thus, we aimed to perform the climatic characterization of the State of Paraná using the methods proposed by Köppen and Geiger (1928), modified by Trewartha (1954) (KT), Thornthwaite (1948) (TH) and Camargo (1991) and modified by Maluf (2000) (CM), using data from the European Center for Medium-Range Weather Forecast (ECMWF) model. The results of spatial interpolation (virtual stations) were performed using the Kriging method in spherical shape with one neighbour and resolution of 0.25°. The CCSs displayed the ability to separate the warm and dry from cold and wet regions. The most predominant climates were Cfa (temperate humid with hot summers), C1rA'a' (sub-humid with little water deficiency, megathermal) and ST-UMi (humid subtropical with dry winter), according to KT, TH and CM, respectively. CM is an intermediate CCS between KT and TH.
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spelling Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, BrazilWater balanceagricultureclimatic characterizationECMWFABSTRACT Climate is the set of average atmospheric conditions that characterizes a region. It directly influences the majority of human activities, especially agriculture. Climate classification systems (CCSs) are important tools in the study of agriculture, enabling knowledge of the climatic characteristics of a region. Thus, we aimed to perform the climatic characterization of the State of Paraná using the methods proposed by Köppen and Geiger (1928), modified by Trewartha (1954) (KT), Thornthwaite (1948) (TH) and Camargo (1991) and modified by Maluf (2000) (CM), using data from the European Center for Medium-Range Weather Forecast (ECMWF) model. The results of spatial interpolation (virtual stations) were performed using the Kriging method in spherical shape with one neighbour and resolution of 0.25°. The CCSs displayed the ability to separate the warm and dry from cold and wet regions. The most predominant climates were Cfa (temperate humid with hot summers), C1rA'a' (sub-humid with little water deficiency, megathermal) and ST-UMi (humid subtropical with dry winter), according to KT, TH and CM, respectively. CM is an intermediate CCS between KT and TH.Editora da UFLA2016-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000400405Ciência e Agrotecnologia v.40 n.4 2016reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542016404003916info:eu-repo/semantics/openAccessAparecido,Lucas Eduardo de OliveiraRolim,Glauco de SouzaRichetti,JonathanSouza,Paulo Sergio deJohann,Jerry Adrianieng2017-07-11T00:00:00Zoai:scielo:S1413-70542016000400405Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:28.368893Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
title Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
spellingShingle Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
Aparecido,Lucas Eduardo de Oliveira
Water balance
agriculture
climatic characterization
ECMWF
title_short Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
title_full Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
title_fullStr Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
title_full_unstemmed Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
title_sort Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
author Aparecido,Lucas Eduardo de Oliveira
author_facet Aparecido,Lucas Eduardo de Oliveira
Rolim,Glauco de Souza
Richetti,Jonathan
Souza,Paulo Sergio de
Johann,Jerry Adriani
author_role author
author2 Rolim,Glauco de Souza
Richetti,Jonathan
Souza,Paulo Sergio de
Johann,Jerry Adriani
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Aparecido,Lucas Eduardo de Oliveira
Rolim,Glauco de Souza
Richetti,Jonathan
Souza,Paulo Sergio de
Johann,Jerry Adriani
dc.subject.por.fl_str_mv Water balance
agriculture
climatic characterization
ECMWF
topic Water balance
agriculture
climatic characterization
ECMWF
description ABSTRACT Climate is the set of average atmospheric conditions that characterizes a region. It directly influences the majority of human activities, especially agriculture. Climate classification systems (CCSs) are important tools in the study of agriculture, enabling knowledge of the climatic characteristics of a region. Thus, we aimed to perform the climatic characterization of the State of Paraná using the methods proposed by Köppen and Geiger (1928), modified by Trewartha (1954) (KT), Thornthwaite (1948) (TH) and Camargo (1991) and modified by Maluf (2000) (CM), using data from the European Center for Medium-Range Weather Forecast (ECMWF) model. The results of spatial interpolation (virtual stations) were performed using the Kriging method in spherical shape with one neighbour and resolution of 0.25°. The CCSs displayed the ability to separate the warm and dry from cold and wet regions. The most predominant climates were Cfa (temperate humid with hot summers), C1rA'a' (sub-humid with little water deficiency, megathermal) and ST-UMi (humid subtropical with dry winter), according to KT, TH and CM, respectively. CM is an intermediate CCS between KT and TH.
publishDate 2016
dc.date.none.fl_str_mv 2016-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000400405
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000400405
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-70542016404003916
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.40 n.4 2016
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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