Stochastic downscaling of precipitation to high‐resolution scenarios in orographically complex regions: 1. Model evaluation

摘要: [1] The simulation of space-time precipitation has been studied since the late 1980s. However, there are still many open issues concerning most appropriate approach to simulate it, specially in highly heterogeneous areas, such as mountain environments. For this reason, we present here a comprehensive investigation Space-Time Neyman-Scott Rectangular Pulses model, with purpose analyzing its performance challenging Alpine environment Switzerland and identifying weaknesses that can drive future improvements. The results point at suitability model reproducing not only basic statistics different temporal aggregations, but also more distributional scaling properties. intrinsic stationarity space, induced by parameter estimation procedure, poses occasional limitations regard accurate variability observed climate characteristics, which strongly influenced local microclimates. is able, even complex environment, preserve spatial patterns actual process. study allowed (i) conclude about robustness for multisite downscaling estimated from simulations, reported companion paper, (ii) put evidence some require further consideration improve rainfall generation.