Are reanalysis data useful for calculating climate indices over South America? (2008)
- Authors:
- USP affiliated authors: AMBRIZZI, TERCIO - IAG ; ROCHA, ROSMERI PORFIRIO DA - IAG
- Unidade: IAG
- Subjects: CLIMA (ÍNDICES); MUDANÇA CLIMÁTICA
- Language: Inglês
- Imprenta:
- Publisher: New York Academy of Sciences
- Publisher place: New York
- Date published: 2008
- ISBN: 978-1-57331-732-0
- Source:
- Conference titles: European Meteorological Society Annual Meeting
-
ABNT
DUFEK, Amanda Sabatini e AMBRIZZI, Tércio e ROCHA, Rosmeri Porfírio da. Are reanalysis data useful for calculating climate indices over South America? 2008, Anais.. New York: New York Academy of Sciences, 2008. . Acesso em: 10 mar. 2026. -
APA
Dufek, A. S., Ambrizzi, T., & Rocha, R. P. da. (2008). Are reanalysis data useful for calculating climate indices over South America? In Trends and directions in climate research: Annals of the New York Academy of Sciences. New York: New York Academy of Sciences. -
NLM
Dufek AS, Ambrizzi T, Rocha RP da. Are reanalysis data useful for calculating climate indices over South America? Trends and directions in climate research: Annals of the New York Academy of Sciences. 2008 ;[citado 2026 mar. 10 ] -
Vancouver
Dufek AS, Ambrizzi T, Rocha RP da. Are reanalysis data useful for calculating climate indices over South America? Trends and directions in climate research: Annals of the New York Academy of Sciences. 2008 ;[citado 2026 mar. 10 ] - Avaliação da climatologia na região Amazônica nos modelos da família HiGEM
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- The 2014 southeast Brazil austral summer drought: regional scale mechanisms and teleconnections
- Extreme events in the La Plata basin: a retrospective analysis of what we have learned during Claris-LPB project
- Climatologia da função frontogênica sobre a América do Sul em um cenário de clima presente e futuro
- Dynamic and climatological features of cyclonic developments over southwestern South Atlantic Ocean
- South Atlantic Ocean cyclogenesis climatology simulated by regional climate model (RegCM3)
- Simulação e composição dos complexos convectivos de mesoescala na América do Sul usando um modelo climático regional
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