Model: STREAP

Space-Time Realizations of Areal Precipitation

High-resolution space-time stochastic models for precipitation are crucial for hydrological applications related to flood risk and water resources management. In 2013 we introduced a new stochastic space-time model, STREAP (Paschalis et al., 2013, 2014), which is capable of reproducing essential features of the statistical structure of precipitation in space and time for a wide range of scales, and at the same time can be used for continuous simulation. The model is based on a three-stage hierarchical structure that mimics the precipitation formation process. The stages describe the storm arrival process, the temporal evolution of areal mean precipitation intensity and wet area, and the evolution in time of the two-dimensional storm structure. Each stage of the model is based on appropriate stochastic modeling techniques spanning from point processes, multivariate stochastic simulation and random fields.