Abstract
The numerical weather prediction is a routine in operational meteorological centers, where sophisticated computer models are executed. The atmospheric dynamics is simulated by solving the Navier-Stokes equations, considering several physical phenomena. One parameterization applied to this dynamical system is to represent the turbulence. A counter-gradient flow can be described for higher order closure turbulence approaches. Here, a first order parameterization for the turbulent flow is coupled with an explicit counter-gradient term. Both latter schemes are based on the Taylors statistical theory of turbulence. The parameterization schemes are applied to the BRAMS, a mesoscale meteorological model. The simulation is compared with experimental data measured in the Brazilian Amazon region.
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Notes
- 1.
The Cray XE6 supercomputer installed CPTEC-INPE: 1280 processing nodes and 30,720 cores (2 processors per node and 12-cores for each processor).
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Welter, M.E.S., de Campos Velho, H.F., Freitas, S.R., Ruiz, R.S.R. (2017). Counter-Gradient Term Applied to the Turbulence Parameterization in the BRAMS. In: Constanda, C., Dalla Riva, M., Lamberti, P., Musolino, P. (eds) Integral Methods in Science and Engineering, Volume 2. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-59387-6_29
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