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The Time Scale of Shallow Convective Self-Aggregation in Large-Eddy Simulations Is Sensitive to Numerics.
Janssens, Martin; Vilà-Guerau de Arellano, Jordi; van Heerwaarden, Chiel C; van Stratum, Bart J H; de Roode, Stephan R; Siebesma, A Pier; Glassmeier, Franziska.
Afiliação
  • Janssens M; Meteorology & Air Quality Department Wageningen University Wageningen The Netherlands.
  • Vilà-Guerau de Arellano J; Geoscience & Remote Sensing Department Delft University of Technology Delft The Netherlands.
  • van Heerwaarden CC; Meteorology & Air Quality Department Wageningen University Wageningen The Netherlands.
  • van Stratum BJH; Meteorology & Air Quality Department Wageningen University Wageningen The Netherlands.
  • de Roode SR; Meteorology & Air Quality Department Wageningen University Wageningen The Netherlands.
  • Siebesma AP; Geoscience & Remote Sensing Department Delft University of Technology Delft The Netherlands.
  • Glassmeier F; Geoscience & Remote Sensing Department Delft University of Technology Delft The Netherlands.
J Adv Model Earth Syst ; 15(1): e2022MS003292, 2023 Jan.
Article em En | MEDLINE | ID: mdl-37034446
ABSTRACT
Numerical simulations of the tropical mesoscales often exhibit a self-reinforcing feedback between cumulus convection and shallow circulations, which leads to the self-aggregation of clouds into large clusters. We investigate whether this basic feedback can be adequately captured by large-eddy simulations (LESs). To do so, we simulate the non-precipitating, cumulus-topped boundary layer of the canonical "BOMEX" case over a range of numerical settings in two models. Since the energetic convective scales underpinning the self-aggregation are only slightly larger than typical LES grid spacings, aggregation timescales do not converge even at rather high resolutions (<100 m). Therefore, high resolutions or improved sub-filter scale models may be required to faithfully represent certain forms of trade-wind mesoscale cloud patterns and self-aggregating deep convection in large-eddy and cloud-resolving models, and to understand their significance relative to other processes that organize the tropical mesoscales.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Adv Model Earth Syst Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Adv Model Earth Syst Ano de publicação: 2023 Tipo de documento: Article