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Discussion papers | Copyright
https://doi.org/10.5194/gmd-2018-91
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model evaluation paper 22 Jun 2018

Model evaluation paper | 22 Jun 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

The Brazilian Earth System Model version 2.5: Evaluation of its CMIP5 historical simulation

Sandro F. Veiga1, Paulo Nobre2, Emanuel Giarolla3, Vinicius Capistrano4, Manoel Baptista Jr.2, André L. Marquez2, Silvio Nilo Figueroa2, José Paulo Bonatti2, Paulo Kubota2, and Carlos A. Nobre5 Sandro F. Veiga et al.
  • 1Earth System Science Center-CCST, National Institute for Space Research (INPE), São José dos Campos 12227-010, São Paulo, Brazil
  • 2Center for Weather Forecasting and Climate Studies-CPTEC, National Institute for Space Research (INPE), Cachoeira Paulista 12630-000, São Paulo, Brazil
  • 3Center for Weather Forecasting and Climate Studies-CPTEC, National Institute for Space Research (INPE), São José dos Campos 12227-010, São Paulo, Brazil
  • 4Amazonas State University (UEA), Manaus 69005-010, Amazonas, Brazil
  • 5CN Research, São José dos Campos 12544-590, São Paulo, Brazil

Abstract. The performance of the coupled ocean-atmosphere component of the Brazilian Earth System Model version 2.5 (BESM-OA2.5) simulating the historical period 1850–2005 is evaluated. Following climate model validation procedure, in which the atmospheric and oceanic main variabilities are validated against observation and Reanalysis datasets, the evaluation particularly focuses the mean climate state and the most important large-scale climate variability patterns simulated in the historical run, which is forced by observed greenhouse gas concentration. The most significant upgrades in the model’s components are also presented briefly. BESM-OA2.5 is able to reproduce the most important large-scale variabilities, particularly over the Atlantic (e.g. the North Atlantic Oscillation, the Atlantic Meridional Mode and the Atlantic Meridional Overturning Circulation) and the extratropical modes that occur in both hemispheres. The model's ability in simulating large-scale variabilities indicates its usefulness for seasonal climate prediction and climate change studies.

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