lib-fluidsim

You can run computational fluid dynamics simulations in Python using pseudospectral methods with FFT. This framework handles parameter configuration, simulation execution, and output analysis for 2D/3D Navier-Stokes and other flow equations.

Yes, you can solve 3D Navier-Stokes equations with MPI parallelization. The framework supports HPC environments, allowing you to simulate turbulent flow in a 3D domain using parallel computing.

Pseudospectral solvers in this framework support 2D and 3D Navier-Stokes, shallow water, and stratified flow equations. These solvers leverage FFT methods for high-performance computational fluid dynamics.

To set up a 2D Navier-Stokes simulation, you can use noise initial conditions and configure the framework to save physical fields at specified time intervals, such as every 1.0 time units during simulation execution.

The best way to model atmospheric stratification using CFD is through the framework's stratified flow solver. It leverages pseudospectral methods to accurately simulate stratified flow equations within a complete workflow.

An HPC environment is recommended for pseudospectral fluid dynamics simulations due to MPI parallelization support. While you can run simulations locally, the framework is designed to leverage parallel computing for high-performance CFD tasks.