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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
21/09/2015 |
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Data da última atualização: |
21/09/2015 |
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Autoria: |
ALVARES. C. A.; STAPE, J. L.; SENTELHAS, P. C.; GONÇALVES, J. L. de M.; SPAROVEK, G. |
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Afiliação: |
Clayton Alcarde Alvares, IPEF; José Luiz Stape, FPC; Paulo Cesar Sentelhas, USP; José Leonardo de Moraes Gonçalves, USP; Gerd Sparovek, USP. |
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Título: |
Köppen's climate classification map for Brazil. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Meteorologische Zeitschrift, Stuttgart, v. 22, n. 6, p. 711-728, 2013. |
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DOI: |
10.1127/0941-2948/2013/0507 |
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Idioma: |
Inglês |
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Conteúdo: |
Köppen’s climate classification remains the most widely used system by geographical and climatological societies across the world, with well recognized simple rules and climate symbol letters. In Brazil, climatology has been studied for more than 140 years, and among the many proposed methods Köppen's system remains as the most utilized. Considering Köppen's climate classification importance for Brazil (geography, biology, ecology, meteorology, hydrology, agronomy, forestry and environmental sciences), we developed a geographical information system to identify Köppen's climate types based on monthly temperature and rainfall data from 2,950 weather stations. Temperature maps were spatially described using multivariate equations that took into account the geographical coordinates and altitude; and the map resolution (100 m) was similar to the digital elevation model derived from Shuttle Radar Topography Mission. Patterns of rainfall were interpolated using kriging, with the same resolution of temperature maps. The final climate map obtained for Brazil (851,487,700 ha) has a high spatial resolution (1 ha) which allows to observe the climatic variations at the landscape level. The results are presented as maps, graphs, diagrams and tables, allowing users to interpret the occurrence of climate types in Brazil. The zones and climate types are referenced to the most important mountains, plateaus and depressions, geographical landmarks, rivers and watersheds and major cities across the country making the information accessible to all levels of users. The climate map not only showed that the A, B and C zones represent approximately 81%, 5% and 14% of the country but also allowed the identification of Köppen's climates types never reported before in Brazil. MenosKöppen’s climate classification remains the most widely used system by geographical and climatological societies across the world, with well recognized simple rules and climate symbol letters. In Brazil, climatology has been studied for more than 140 years, and among the many proposed methods Köppen's system remains as the most utilized. Considering Köppen's climate classification importance for Brazil (geography, biology, ecology, meteorology, hydrology, agronomy, forestry and environmental sciences), we developed a geographical information system to identify Köppen's climate types based on monthly temperature and rainfall data from 2,950 weather stations. Temperature maps were spatially described using multivariate equations that took into account the geographical coordinates and altitude; and the map resolution (100 m) was similar to the digital elevation model derived from Shuttle Radar Topography Mission. Patterns of rainfall were interpolated using kriging, with the same resolution of temperature maps. The final climate map obtained for Brazil (851,487,700 ha) has a high spatial resolution (1 ha) which allows to observe the climatic variations at the landscape level. The results are presented as maps, graphs, diagrams and tables, allowing users to interpret the occurrence of climate types in Brazil. The zones and climate types are referenced to the most important mountains, plateaus and depressions, geographical landmarks, rivers and watersheds and major cities across ... Mostrar Tudo |
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Palavras-Chave: |
Brasil; Classificação climática; Koppen. |
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Thesagro: |
Clima. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02441naa a2200229 a 4500
001 2024513
005 2015-09-21
008 2013 bl --- 0-- u #d
024 7 $a10.1127/0941-2948/2013/0507$2DOI
100 1 $aALVARES. C. A.
245 $aKöppen's climate classification map for Brazil.$h[electronic resource]
260 $c2013
520 $aKöppen’s climate classification remains the most widely used system by geographical and climatological societies across the world, with well recognized simple rules and climate symbol letters. In Brazil, climatology has been studied for more than 140 years, and among the many proposed methods Köppen's system remains as the most utilized. Considering Köppen's climate classification importance for Brazil (geography, biology, ecology, meteorology, hydrology, agronomy, forestry and environmental sciences), we developed a geographical information system to identify Köppen's climate types based on monthly temperature and rainfall data from 2,950 weather stations. Temperature maps were spatially described using multivariate equations that took into account the geographical coordinates and altitude; and the map resolution (100 m) was similar to the digital elevation model derived from Shuttle Radar Topography Mission. Patterns of rainfall were interpolated using kriging, with the same resolution of temperature maps. The final climate map obtained for Brazil (851,487,700 ha) has a high spatial resolution (1 ha) which allows to observe the climatic variations at the landscape level. The results are presented as maps, graphs, diagrams and tables, allowing users to interpret the occurrence of climate types in Brazil. The zones and climate types are referenced to the most important mountains, plateaus and depressions, geographical landmarks, rivers and watersheds and major cities across the country making the information accessible to all levels of users. The climate map not only showed that the A, B and C zones represent approximately 81%, 5% and 14% of the country but also allowed the identification of Köppen's climates types never reported before in Brazil.
650 $aClima
653 $aBrasil
653 $aClassificação climática
653 $aKoppen
700 1 $aSTAPE, J. L.
700 1 $aSENTELHAS, P. C.
700 1 $aGONÇALVES, J. L. de M.
700 1 $aSPAROVEK, G.
773 $tMeteorologische Zeitschrift, Stuttgart$gv. 22, n. 6, p. 711-728, 2013.
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Embrapa Florestas (CNPF) |
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| Registros recuperados : 4 | |
| 1. |  | GONÇALVES, J. L. de M.; SILVA, L. D.; BEHLING, M.; ALVARES, C. A. Management of Industrial Forest Plantations. In: BORGES, J. G.; DIAZ-BALTEIRO, L.; MCDILL, M. E.; RODRIGUEZ, L. C. E. (Ed.). Theoretical Foundations and Applications: the management of industrial forest plantations. Dordrecht, NL: Springer Netherlands, 2014. v. 33, p. 91-119 29 Managing Forest Ecosystems| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agrossilvipastoril. |
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| 2. | | GONÇALVES, J. L. de M.; ALVARES, C. A.; BEHLING, M.; ALVES, J. M.; PIZZI, G. T.; ANGELI, A. Produtividade de plantações de eucalipto manejadas nos sistemas de alto fuste e talhadia, em função de fatores edafoclimáticos Revista Scientia Forestalis (IPEF), v. 42, n. 103, p.411-419, set. 2014 9| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Agrossilvipastoril. |
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| 3. | | GARCIA, L. G.; FERRAZ, S. F. de B.; ALVARES, C. A.; FERRAZ, K. M. P. M. de B.; HIGA, R. C. V. Modelagem da aptidão climática do Eucalyptus grandis frente aos cenários de mudanças climáticas no Brasil. Scientia Forestalis, Piracicaba, v. 42, n. 103, p. 503-511, dez. 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Florestas. |
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| 4. | | OLIVEIRA, T. W. G. de; PAULA, R. C. de; MORAES, M. L. T. de; ALVARES, C. A.; MIRANDA, A. C.; SILVA, P. H. M. da. Stability and adaptability for wood volume in the selection of Eucalyptus saligna in three environments. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 5, p. 611-619, maio, 2018. Título em português: Estabilidade e adaptabilidade para volume de madeira na seleção de Eucalyptus saligna em três ambientes.| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 4 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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