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Filtros : "Silva Dias, Pedro Leite da" "2020" Limpar

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  • Artigo de periodico

    Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms (2020)

    Dufek, Amanda S; Augusto, Douglas A; Silva Dias, Pedro Leite da ; Barbosa, Helio J.C

    Source: Applied Soft Computing Journal. Unidade: IAG

    Subjects: PREVISÃO DO TEMPO, VELOCIDADE, VENTO

    Acesso à fonteDOIHow to cite
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    • ABNT

      DUFEK, Amanda S et al. Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms. Applied Soft Computing Journal, v. 87, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.105976. Acesso em: 27 set. 2024.

    • APA

      Dufek, A. S., Augusto, D. A., Silva Dias, P. L. da, & Barbosa, H. J. C. (2020). Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms. Applied Soft Computing Journal, 87, 1-12. doi:10.1016/j.asoc.2019.105976

    • NLM

      Dufek AS, Augusto DA, Silva Dias PL da, Barbosa HJC. Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms [Internet]. Applied Soft Computing Journal. 2020 ; 87 1-12.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.asoc.2019.105976

    • Vancouver

      Dufek AS, Augusto DA, Silva Dias PL da, Barbosa HJC. Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms [Internet]. Applied Soft Computing Journal. 2020 ; 87 1-12.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.asoc.2019.105976

  • Artigo de periodico

    Contrasting Southern Hemisphere Monsoon Response: MidHolocene Orbital Forcing versus Future Greenhouse Gas-Induced Global Warming (2020)

    D'Agostino, Roberta; Brown, Josephine R; Moise, Aurel; Nguyen, Hanh; Silva Dias, Pedro Leite da ; Jungclaus, Johann

    Source: Journal of Climate. Unidade: IAG

    Subjects: AQUECIMENTO GLOBAL, MONÇÕES, PRECIPITAÇÃO ATMOSFÉRICA, GASES, EFEITO ESTUFA

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    • ABNT

      D'AGOSTINO, Roberta et al. Contrasting Southern Hemisphere Monsoon Response: MidHolocene Orbital Forcing versus Future Greenhouse Gas-Induced Global Warming. Journal of Climate, v. 33, n. 22, p. 9595-9613, 2020Tradução . . Disponível em: https://doi.org/10.1175/JCLI-D-19-0672.1. Acesso em: 27 set. 2024.

    • APA

      D'Agostino, R., Brown, J. R., Moise, A., Nguyen, H., Silva Dias, P. L. da, & Jungclaus, J. (2020). Contrasting Southern Hemisphere Monsoon Response: MidHolocene Orbital Forcing versus Future Greenhouse Gas-Induced Global Warming. Journal of Climate, 33( 22), 9595-9613. doi:10.1175/JCLI-D-19-0672.1

    • NLM

      D'Agostino R, Brown JR, Moise A, Nguyen H, Silva Dias PL da, Jungclaus J. Contrasting Southern Hemisphere Monsoon Response: MidHolocene Orbital Forcing versus Future Greenhouse Gas-Induced Global Warming [Internet]. Journal of Climate. 2020 ; 33( 22): 9595-9613.[citado 2024 set. 27 ] Available from: https://doi.org/10.1175/JCLI-D-19-0672.1

    • Vancouver

      D'Agostino R, Brown JR, Moise A, Nguyen H, Silva Dias PL da, Jungclaus J. Contrasting Southern Hemisphere Monsoon Response: MidHolocene Orbital Forcing versus Future Greenhouse Gas-Induced Global Warming [Internet]. Journal of Climate. 2020 ; 33( 22): 9595-9613.[citado 2024 set. 27 ] Available from: https://doi.org/10.1175/JCLI-D-19-0672.1

  • Artigo de periodico

    Analysis of Atlantic extratropical storm tracks characteristics in 41 years of ERA5 and CFSR/CFSv2 databases (2020)

    Gramcianinov, C. B; Campos, R. M; Camargo, Ricardo de ; Hodges, K. I; Guedes Soares, C; Silva Dias, Pedro Leite da

    Source: Ocean Engineering. Unidade: IAG

    Subjects: CLIMATOLOGIA, CICLONES, MUDANÇA CLIMÁTICA, OCEANO ATLÂNTICO

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    • ABNT

      GRAMCIANINOV, C. B et al. Analysis of Atlantic extratropical storm tracks characteristics in 41 years of ERA5 and CFSR/CFSv2 databases. Ocean Engineering, v. 216, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.oceaneng.2020.108111. Acesso em: 27 set. 2024.

    • APA

      Gramcianinov, C. B., Campos, R. M., Camargo, R. de, Hodges, K. I., Guedes Soares, C., & Silva Dias, P. L. da. (2020). Analysis of Atlantic extratropical storm tracks characteristics in 41 years of ERA5 and CFSR/CFSv2 databases. Ocean Engineering, 216. doi:10.1016/j.oceaneng.2020.108111

    • NLM

      Gramcianinov CB, Campos RM, Camargo R de, Hodges KI, Guedes Soares C, Silva Dias PL da. Analysis of Atlantic extratropical storm tracks characteristics in 41 years of ERA5 and CFSR/CFSv2 databases [Internet]. Ocean Engineering. 2020 ; 216[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.oceaneng.2020.108111

    • Vancouver

      Gramcianinov CB, Campos RM, Camargo R de, Hodges KI, Guedes Soares C, Silva Dias PL da. Analysis of Atlantic extratropical storm tracks characteristics in 41 years of ERA5 and CFSR/CFSv2 databases [Internet]. Ocean Engineering. 2020 ; 216[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.oceaneng.2020.108111

  • Artigo de periodico

    Assessing the skill of all-season diverse Madden–Julian oscillation indices for the intraseasonal Amazon precipitation (2020)

    Mayta, Victor C. ; Silva, Natalia P; Ambrizzi, Tércio ; Silva Dias, Pedro Leite da ; Espinoza, Jhan Carlo

    Source: Climate Dynamics. Unidade: IAG

    Subjects: PRECIPITAÇÃO ATMOSFÉRICA, CLIMATOLOGIA

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    • ABNT

      MAYTA, Victor C. et al. Assessing the skill of all-season diverse Madden–Julian oscillation indices for the intraseasonal Amazon precipitation. Climate Dynamics, v. 54, n. 7-8, p. 3729-3749, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00382-020-05202-9. Acesso em: 27 set. 2024.

    • APA

      Mayta, V. C., Silva, N. P., Ambrizzi, T., Silva Dias, P. L. da, & Espinoza, J. C. (2020). Assessing the skill of all-season diverse Madden–Julian oscillation indices for the intraseasonal Amazon precipitation. Climate Dynamics, 54( 7-8), 3729-3749. doi:10.1007/s00382-020-05202-9

    • NLM

      Mayta VC, Silva NP, Ambrizzi T, Silva Dias PL da, Espinoza JC. Assessing the skill of all-season diverse Madden–Julian oscillation indices for the intraseasonal Amazon precipitation [Internet]. Climate Dynamics. 2020 ; 54( 7-8): 3729-3749.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s00382-020-05202-9

    • Vancouver

      Mayta VC, Silva NP, Ambrizzi T, Silva Dias PL da, Espinoza JC. Assessing the skill of all-season diverse Madden–Julian oscillation indices for the intraseasonal Amazon precipitation [Internet]. Climate Dynamics. 2020 ; 54( 7-8): 3729-3749.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s00382-020-05202-9

  • Artigo de periodico

    Normal Mode Perspective on the 2016 QBO Disruption: evidence for a Basic State Regime Transition (2020)

    Raphaldini, Breno ; Wakate Teruya, Andre Seiji; Silva Dias, Pedro Leite da ; Chavez Mayta, Victor Raul ; Takara, Victor Junji

    Source: Geophysical Research Letters. Unidade: IAG

    Subjects: METEOROLOGIA DINÂMICA, VENTO, SAZONALIDADE

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      RAPHALDINI, Breno et al. Normal Mode Perspective on the 2016 QBO Disruption: evidence for a Basic State Regime Transition. Geophysical Research Letters, v. 47, n. 4, p. e2020GL087274, 2020Tradução . . Disponível em: https://doi.org/10.1029/2020GL087274. Acesso em: 27 set. 2024.

    • APA

      Raphaldini, B., Wakate Teruya, A. S., Silva Dias, P. L. da, Chavez Mayta, V. R., & Takara, V. J. (2020). Normal Mode Perspective on the 2016 QBO Disruption: evidence for a Basic State Regime Transition. Geophysical Research Letters, 47( 4), e2020GL087274. doi:10.1029/2020GL087274

    • NLM

      Raphaldini B, Wakate Teruya AS, Silva Dias PL da, Chavez Mayta VR, Takara VJ. Normal Mode Perspective on the 2016 QBO Disruption: evidence for a Basic State Regime Transition [Internet]. Geophysical Research Letters. 2020 ; 47( 4): e2020GL087274.[citado 2024 set. 27 ] Available from: https://doi.org/10.1029/2020GL087274

    • Vancouver

      Raphaldini B, Wakate Teruya AS, Silva Dias PL da, Chavez Mayta VR, Takara VJ. Normal Mode Perspective on the 2016 QBO Disruption: evidence for a Basic State Regime Transition [Internet]. Geophysical Research Letters. 2020 ; 47( 4): e2020GL087274.[citado 2024 set. 27 ] Available from: https://doi.org/10.1029/2020GL087274
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