Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
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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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 |
status_str |
publishedVersion |
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 |
_version_ |
1799874970283671552 |