Abstract
The prediction of the response of a river basin to climate change requires an integrated approach consisting of regional modeling of the atmosphere and hydrology. The atmosphere is linked to the land surface by precipitation and evapotranspiration. At the regional basin scale, the spatial variability of precipitation is crucial for accurate prediction of runoff and overall hydrologic cycle. In this paper, the high-resolution mesoscale precipitation in Yodo River basin of Japan was produced by WRF (Weather Research and Forecasting) mesoscale meteorological model. Nesting of high-resolution mesh inside a coarse mesh produced downscaled precipitation data with 3-km grid size. The 3-km grid data was further downscaled to 1-km grid data according to the terrain structure. The spatial and temporal features of this precipitation data were validated with Radar GPV (Grid Point Value) data and observed station data.
