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Material Type: Artigo
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A Machine Learning‐Based Global Atmospheric Forecast ModelArcomano, Troy ; Szunyogh, Istvan ; Pathak, Jaideep ; Wikner, Alexander ; Hunt, Brian R. ; Ott, EdwardGeophysical research letters, 2020-05, Vol.47 (9), p.n/a [Periódico revisado por pares]Washington: John Wiley & Sons, IncTexto completo disponível |
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Material Type: Livro
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Numerical weather and climate predictionThomas T. WarnerLeiden Cambridge University Press 2011Acesso online. A biblioteca também possui exemplares impressos. |
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Material Type: Artigo
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Air‐Sea Fluxes of CO2 in the Indian Ocean Between 1985 and 2018: A Synthesis Based on Observation‐Based Surface CO2, Hindcast and Atmospheric Inversion ModelsSarma, V. V. S. S. ; Sridevi, B. ; Metzl, N. ; Patra, P. K. ; Lachkar, Z. ; Chakraborty, Kunal ; Goyet, C. ; Levy, M. ; Mehari, M. ; Chandra, N.Global biogeochemical cycles, 2023-05, Vol.37 (5), p.n/a [Periódico revisado por pares]Washington: Blackwell Publishing LtdTexto completo disponível |
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Material Type: Livro
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Climate system modelingKevin E TrenberthCambridge New York Cambridge University Press 1992Localização: IAG - Inst. Ast. Geo. Ciên. Atmosféricas (551.6 CL571 )(Acessar) |
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Material Type: Livro
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Modeling dynamic climate systemsWalter A. Robinson 1955-New York : Springer c2001Localização: IO - Instituto Oceanográfico (551.501 R556m )(Acessar) |
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Material Type: Artigo
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Is the global atmospheric model MRI-AGCM3.2 better than the CMIP5 atmospheric models in simulating precipitation over East Asia?Kusunoki, ShojiClimate dynamics, 2018-12, Vol.51 (11-12), p.4489-4510 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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Material Type: Artigo
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Precipitation Changes in a Climate With 2‐K Surface Warming From Large Ensemble Simulations Using 60‐km Global and 20‐km Regional Atmospheric ModelsFujita, M. ; Mizuta, R. ; Ishii, M. ; Endo, H. ; Sato, T. ; Okada, Y. ; Kawazoe, S. ; Sugimoto, S. ; Ishihara, K. ; Watanabe, S.Geophysical research letters, 2019-01, Vol.46 (1), p.435-442 [Periódico revisado por pares]Washington: John Wiley & Sons, IncTexto completo disponível |
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Material Type: Artigo
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A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based ComponentArcomano, Troy ; Szunyogh, Istvan ; Wikner, Alexander ; Hunt, Brian R. ; Ott, EdwardGeophysical research letters, 2023-04, Vol.50 (8), p.n/a [Periódico revisado por pares]Washington: John Wiley & Sons, IncTexto completo disponível |
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Material Type: Artigo
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The Canadian Atmospheric Model version 5 (CanAM5.0.3)Cole, Jason Neil Steven ; von Salzen, Knut ; Li, Jiangnan ; Scinocca, John ; Plummer, David ; Arora, Vivek ; McFarlane, Norman ; Lazare, Michael ; MacKay, Murray ; Verseghy, DianaGeoscientific Model Development, 2023-09, Vol.16 (18), p.5427-5448 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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Material Type: Artigo
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Heat Extremes Driven by Amplification of Phase‐Locked Circumglobal Waves Forced by Topography in an Idealized Atmospheric ModelJiménez‐Esteve, B. ; Kornhuber, K. ; Domeisen, D. I. V.Geophysical research letters, 2022-11, Vol.49 (21), p.e2021GL096337-n/a [Periódico revisado por pares]United States: John Wiley & Sons, IncTexto completo disponível |