Quantitative precipitation estimation and uncertainty quantification (D05)

我们的基于偏振测量的定量降水估计器将扩展到轻降水和冻结降水。我们将通过充分利用极化雷达信息，包括商业微波链路，进一步扩展我们的时空降水模拟，并对不确定性进行全面量化。为此，我们将使用TerrSysMP建立一个模拟环境，其中包括一个极化正演运算符，其中已知雨滴尺寸分布或降水量等变量，从而允许评估降水量估计和不确定性量化的方法。

Our quantitative polarimetry-based precipitation estimators will be extended to light and frozen precipitation. We will extend further our space-time precipitation modeling by fully exploiting polarimetric radar information including commercial microwave links, and perform a comprehensive quantification of uncertainties. To this end, we will set up a simulated environment with TerrSysMP including a polarimetric forward operator in which variables like drop size distribution or precipitation are known, and thus allow to evaluate methods for precipitation estimation and uncertainty quantification.