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  • Source: Hydrology Current Research. Unidades: IO, IAG

    Assunto: ANÁLISE NUMÉRICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      HARARI, Joseph e PEREIRA, Nair Emmanuela da Silveira e CAMARGO, Ricardo de. Detection of variabilities and trends in the tropical and South Atlantic Ocean using hydrodynamic numerical modeling. Hydrology Current Research, v. 7, n. 2, 2016Tradução . . Disponível em: https://doi.org/10.4172/2157-7587.1000242. Acesso em: 18 nov. 2024.
    • APA

      Harari, J., Pereira, N. E. da S., & Camargo, R. de. (2016). Detection of variabilities and trends in the tropical and South Atlantic Ocean using hydrodynamic numerical modeling. Hydrology Current Research, 7( 2). doi:10.4172/2157-7587.1000242
    • NLM

      Harari J, Pereira NE da S, Camargo R de. Detection of variabilities and trends in the tropical and South Atlantic Ocean using hydrodynamic numerical modeling [Internet]. Hydrology Current Research. 2016 ; 7( 2):[citado 2024 nov. 18 ] Available from: https://doi.org/10.4172/2157-7587.1000242
    • Vancouver

      Harari J, Pereira NE da S, Camargo R de. Detection of variabilities and trends in the tropical and South Atlantic Ocean using hydrodynamic numerical modeling [Internet]. Hydrology Current Research. 2016 ; 7( 2):[citado 2024 nov. 18 ] Available from: https://doi.org/10.4172/2157-7587.1000242
  • Source: Journal of Geology & Geosciences. Unidades: IO, IAG

    Subjects: MODELAGEM DE DADOS, SENSORIAMENTO REMOTO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      PEREIRA, Nair Emmanuela da Silveira e HARARI, Joseph e CAMARGO, Ricardo de. Correlations of Remote Sensing Chlorophyll-a Data and Results of A Numerical Model of the Tropical and South Atlantic Ocean Circulation. Journal of Geology & Geosciences, v. 3, n. 6, p. artigo 1000171, 2014Tradução . . Disponível em: https://doi.org/10.4172/2329-6755.1000171. Acesso em: 18 nov. 2024.
    • APA

      Pereira, N. E. da S., Harari, J., & Camargo, R. de. (2014). Correlations of Remote Sensing Chlorophyll-a Data and Results of A Numerical Model of the Tropical and South Atlantic Ocean Circulation. Journal of Geology & Geosciences, 3( 6), artigo 1000171. doi:10.4172/2329-6755.1000171
    • NLM

      Pereira NE da S, Harari J, Camargo R de. Correlations of Remote Sensing Chlorophyll-a Data and Results of A Numerical Model of the Tropical and South Atlantic Ocean Circulation [Internet]. Journal of Geology & Geosciences. 2014 ; 3( 6): artigo 1000171.[citado 2024 nov. 18 ] Available from: https://doi.org/10.4172/2329-6755.1000171
    • Vancouver

      Pereira NE da S, Harari J, Camargo R de. Correlations of Remote Sensing Chlorophyll-a Data and Results of A Numerical Model of the Tropical and South Atlantic Ocean Circulation [Internet]. Journal of Geology & Geosciences. 2014 ; 3( 6): artigo 1000171.[citado 2024 nov. 18 ] Available from: https://doi.org/10.4172/2329-6755.1000171

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