[jabirali]

In some simulations, each rerun produces different results as you’re simulating random events (like lightning formation) or using a non-deterministic algorithm (like Monte Carlo sampling). Just “saving the random seed” might not be sufficient to make it deterministic either, as if you do parallelized or concurrent actions in your code (common in scientific code) the same pseudorandom numbers may be used in different orders each time you run it.

But repeating the simulation a large number of times, with different random seeds, should produce statistically similar output if the code is rigorous. So even if each simulation is not reproducible, as long as the statistical distribution of outputs is reproducible, that should be sufficient.