大气科学学院学术报告（2017年学术报告之四十四）

报告内容：

Quantitative precipitation estimation (QPE) remains as one of the principal observation objectives for weather researchers and forecasters. The purpose of this paper is to discuss the development of a regional dual polarization QPE process known as the RAdar Multi-Sensor QPE (RAMS QPE). This process applies the dual polarization radar rain rate estimation algorithms established by Chen et al. (2017) into a QPE system that operates over a user-defined domain. The methodologies that are used to ingest and combine individual radar scans, and then merge them into a mosaic are described. The implementation and evaluation is performed over a domain that covers South Carolina for a severe rainfall event occurring October 2, 2015 through October 4, 2015. The QPE precipitation fields evaluated in this analysis will stem from the dual polarization radar data obtained from the local NWS WSR-88DP radars and from the NWS QPE radar-only products.