ENH: optional random seed number for subcolumn generator - #162
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Add seed=None parameter to set_stratiform_sub_col_frac, set_precip_sub_col_frac, set_q_n, and make_simulated_data. Two modes depending on seed value and parallel setting: - seed=None (default): non-reproducible, fully independent draws; best for production science runs. - seed=int, parallel=False (Option A): np.random.seed(seed) set once before the timestep loop; single contiguous RNG stream with statistically independent timesteps; serial only. - seed=int, parallel=True/'processes' (Option B): np.random.seed(seed+tt) called inside each worker; bit-for-bit reproducible.
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Two modes depending on seed value and parallel setting: