ECCOMAS 2024

Forcing Schemes for The Direct Numerical Simulation of Atmospheric Cloud Microphysics

  • Ladeinde, Foluso (Stony Brook University)

Please login to view abstract download link

ABSTRACT We carry out atmospheric cloud-particle-resolved simulations within the framework of direct numerical simulations (DNS), and address the physics, high-performance computing, artificial neural network, and machine learning aspects of the problem [1]. The atmospheric air modelling is carried out using the Eulerian approach, while the dynamics of the cloud and aerosol particles are modelled with the Lagrangian method. The thermodynamics, consisting of temperature, water mixing ratio, and cloud supersaturation, are also modelled. The literature has reported extensively on the forcing schemes for the flow in homogenous and isotropic microphysics DNS models, but the forcing of the scalars has not received enough attention. In our work we force the flow in Fourier space to obtain the integral and Kolmogorov scales, and the turbulence dissipation rates appropriate for atmospheric cloud microphysics. In the literature, as well as in some of our preliminary studies, the scalars in the atmospheric models are not forced, explaining why we see negligible amplitudes for the turbulence fluctuations. Therefore, even though we allow for the adiabatic lapse rate in the atmosphere, which is a potential source of turbulence-maintaining mechanism, the required simulation height for microphysics modelling is not sufficiently high to sustain scalar turbulence. The present study focuses on the appropriate approach that can be used to force scalar turbulence, in a manner that is consistent with cloud microphysics, as previous scalar forcing schemes in the fluid dynamic community may not be directly applicable. The progress made on our objective regarding the appropriate forcing of the scalars in atmospheric cloud microphysics, including temperature, water mixing ratio, and cloud supersaturation, will be reported at the conference and in the proceedings. REFERENCES [1] Liu, Y., Zhang, T., Yu, K.-M., Lopez-Marrero, V., Sharfuddin, A., Lin, M., Li, L., Yang, F., Atif, M., and Ladeinde, F., "Using HPC/AI-accelerated particle-resolved direct numerical simulation model to study microphysics-turbulence interactions in clouds." 2023 The International Union of Geodesy and Geophysics (IUGG) (IUGG) Meeting in Berlin. 11-20 July 2023.