Submitted as: development and technical paper
31 May 2023
Submitted as: development and technical paper |  | 31 May 2023
Status: this preprint is currently under review for the journal GMD.

Taylor's statistical theory applied to the turbulence parameterization in the BAM-INPE global atmospheric model

Eduardo Rohde Eras, Haroldo Fraga de Campos Velho, and Paulo Yoshio Kubota

Abstract. Turbulence parameterization scheme for planetary boundary layer (PBL) based on Taylor's statistical formulation for turbulent flow is used in the Brazilian Global Atmospheric Model (BAM). Taylor's approach has been already applied to mesoscale and air pollution atmospheric models, but it is the first time that this approach is employed in a global model. The BAM model is operationally used to generate numerical weather forecasting by the INPE (National Institute for Space Research – Brazil). The simulation performed with BAM model using Taylor's parameterization is compared with the results obtained with the schemes presented by Holtslag-Boville, Sungsu-Park, and Mellor-Yamada trying to reproduce the ERA5 reanalysis data of two different initial conditions of two different seasons (dry season and wet season). The obtained comparison exhibit a positive result for the new parameterization simulating global precipitation, cloud coverage, and top atmospheric thermal radiation, specially in the dry season. Positive results for the Amazon basin were also obtained.

Eduardo Rohde Eras et al.

Status: open (until 18 Oct 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-59', Anonymous Referee #1, 15 Aug 2023 reply
    • AC1: 'Reply on RC1', Eduardo Rohde Eras, 08 Sep 2023 reply

Eduardo Rohde Eras et al.

Eduardo Rohde Eras et al.


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Short summary
The portion of the earth atmosphere closer to the ground is responsible for heat, moisture and mechanical energy transportation between the surface and the air through turbulence, been very important for weather forecast. Between many solutions used to model this turbulence, this is the first attempt to use one based on Taylor's statistical theory in a global atmospheric model, achieving good results for precipitation and energy transportation, specially in the Amazon basin region.