Autor: |
Saulo R. Freitas, Renata S. R. Ruiz, M. E. S. Welter, H.F. de Campos Velho |
Rok vydání: |
2017 |
Předmět: |
|
Zdroj: |
Integral Methods in Science and Engineering, Volume 2 ISBN: 9783319593869 |
DOI: |
10.1007/978-3-319-59387-6_29 |
Popis: |
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. |
Databáze: |
OpenAIRE |
Externí odkaz: |
|