Development of orographic heavy rainfall retrieval from space-borne microwave radiometers

在这项研究中，我们提高了性能的估计使用星载被动微波辐射计算法地形暴雨。本文根据地形强迫上升的垂直运动和由辅助资料估计的地面水汽通量的辐合，提出了一个地形/非地形降水分类方案。来自地形降水剖面的可调表用于估计地形降雨像素的降雨，而来自原始降水剖面的可调表用于估计非地形降雨像素的降雨。降雨量估计使用修订后的算法是在更好的协议，估计从星载雷达和地面雷达获得的数据比使用原始算法的估计。

In this study, we improve the performance of estimates made using a satellite-borne passive microwave radiometer algorithm for orographic heavy rainfall. An orographic/nonorographic rainfall classification scheme is developed on the basis of orographically forced upward vertical motion and the convergence ofsurface moisture flux estimated from ancillary data. Lookup tables derived from orographic precipitation profiles are used to estimate rainfall for an orographic rainfall pixel, whereas those derived from original precipitation profiles are used to estimate rainfall for a nonorographic rainfall pixel. Rainfall estimates made using the revised algorithm are in better agreement with estimates from data obtained by the spaceborne radar and by ground radars than are estimates made using the original algorithm.