Supplementary material for the paper "Conditional simulation of spatial rainfall fields using random mixing: a study that implements full control over the stochastic process".

This serves as supplementary material to a paper accepted for publication in HESS journal: "Conditional simulation of spatial rainfall fields using random mixing: a study that implements full control over the stochastic process". The generation procedures of the synthetic rainfall fields are explained in the Python script gen_gaugeData.py. The Python script gen_radar_gauge_data.py shows the generation procedures of the radar and rain gauge data. The Python script specsim_simple.py applies the method -- fast Fourier transform for regular grids -- to generate correlated Gaussian random fields. The other .npy files archived under this link are datasets used when applying the proposed approach in the paper.