Examining global climate for different representations of present and future conditions (2014)
- Authors:
- USP affiliated author: CAMARGO, RICARDO DE - IAG
- School: IAG
- Subjects: CLIMA; CLIMATOLOGIA
- Language: Inglês
- Imprenta:
- Publisher: Dalhousie University
- Place of publication: Halifax
- Date published: 2014
- Source:
- Título do periódico: 6th IWMO
- Conference title: International Workshop on Modeling the Ocean
-
ABNT
BRANCO, Fabrício et al. Examining global climate for different representations of present and future conditions. 2014, Anais.. Halifax: Dalhousie University, 2014. . Acesso em: 06 jul. 2022. -
APA
Branco, F., Camargo, R. de, Wainer, I., Biazeto, B., & Todesco, E. (2014). Examining global climate for different representations of present and future conditions. In 6th IWMO. Halifax: Dalhousie University. -
NLM
Branco F, Camargo R de, Wainer I, Biazeto B, Todesco E. Examining global climate for different representations of present and future conditions. 6th IWMO. 2014 ;[citado 2022 jul. 06 ] -
Vancouver
Branco F, Camargo R de, Wainer I, Biazeto B, Todesco E. Examining global climate for different representations of present and future conditions. 6th IWMO. 2014 ;[citado 2022 jul. 06 ] - Determinação da configuração ideal do princeton ocean model para previsões operacionais de marés meteorológicas no atlântico sudoeste
- Caracterização das condições sinóticas sobre o Atlântico Sudoeste associadas a marés meteorológicas no Porto de Santos
- SST changes in the South Atlantic driven by intense cyclones
- Análise da altura significativa de onda associada a ciclones extratropicais no Atlântico Sul
- Estudo numérico da camada limite atmosférica na região da confluência Brasil-Malvinas
- Detection of variabilities and trends in the tropical South Atlantic ocean using hydrodynamic numerical modeling
- Using the mean pressure gradient and NCEP/NCAR reanalysis to estimate the strength of the South Atlantic Anticyclone
- Modeling the spawning strategies and larval survival of the Brazilian sardine (Sardinella brasiliensis)
- SST changes in the South Atlantic driven by intense cyclones
- Detection of variabilities and trends in the tropical and south Atlantic ocean using reanalysis data and hydrodynamical numerical modeling
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