The coupled confluence and storage (peak) distributed hydrological model is a hybrid modeling strategy, which was recently developed by Oklahoma University（ http://hydro.ou.edu ）And NASA's servir project team. Crest simulates the temporal and spatial variations of water and energy fluxes and storage on user-defined regular cells, so it can be applied at global and regional scales. The scalability of crest simulation is to represent the storage capacity of soil moisture (using a variable infiltration curve) and runoff generation process (using a linear reservoir) through a sub grid scale. Crest model was originally designed to provide relatively coarse resolution global flood prediction on the Internet, but it is also applicable to small scale, such as single basin. Crest model can be affected by potential evapotranspiration and precipitation grid point data sets, such as satellite precipitation estimation, grid rain gauge observation, remote sensing platform, such as weather radar, numerical weather forecast model from quantitative precipitation prediction model. The representative infiltration and routing of main water fluxes are closely related to the spatial variables of surface characteristics (i.e., vegetation, soil type, topography). The coupling of runoff generation components and confluence schemes provides a simulation of the interaction between the atmosphere, surface and groundwater.