Stochastic downscaling precipitation temperature and wind fields in high spatial and temporal resolution for hydrodynamical and hydrological modeling

点击翻译按钮获取中文摘要

The quantification of possible climate change effects on hydrological systems is of great scientific and practical importance. Even recent advances in regional climate modeling do not allow a direct use of their output for detailed modeling of hydrological and hydrodynamical systems. The reasons for this are the high spatial and temporal resolution of the required data, and due to the non-linearity of the systems the probability density functions have to be well represented – not just means (and variances). In the framework of the suggested research, a new downscaling model for wind speed and direction will be developed. This model will then be used in combination with precipitation and temperature downscaling models to obtain input fields for the hydrodynamical modeling of Lake Constance and the hydrological modeling of an adjacent mesoscale catchment.