华南沿海地区雨率和降水微物理原位观测:卫星验证的前景

Xinxin Xie, Xiao Xiao, Jieying He, Pablo Saavedra Garfias, Tiejian Li, Xiaoyu Yu, Songyan Gu, Yang Guo
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摘要

珠海位于中国南方广东省珠江三角洲南端,是一座沿海城市,本研究调查了珠海一系列地面仪器观测到的降水量。该研究对 2021 年 12 月至 2022 年 7 月期间来自一个翻斗雨量计 (RG)、两个激光粒度仪(PARSIVEL 和 PWS)和一个垂直指向多普勒微雨雷达-2 (MRR)的七个月地面观测数据进行了统计评估,以便为中国的空间降水测量任务提供可靠的参考。尽管同地部署减轻了降水时空变异带来的不确定性,但仪器之间仍存在降水测量差异。与以前的研究相反,RG 低估了观测点的每小时降雨量,与 PARSIVEL 相比,每小时降雨量的偏差(Pbias)为 18.2%。在相同的测量原理下,两个激光测距仪之间的每小时累积雨量偏差为 15.3%。由于时间/空间分辨率、仪器灵敏度和观测几何形状的不同,MRR 和测距仪之间的差异被认为是质量加权平均直径和伽马粒径分布归一化截距参数的 Pbias 小于 9%。在东亚季风季节(5 月、6 月和 7 月)的极端降雨期间,进一步研究了由 MRR 得出的水滴粒径分布垂直剖面图(DSD)。由于水汽充沛,有利于雨滴的生长,凝聚被认为是最主要的有效过程,在 5 月份的极端降水事件中,雨滴的质量加权平均直径从 2000 米下降到 600 米时增加了 33.7%。
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In situ observations of rain rate and precipitation microphysics over the coastal area of South China: Perspectives for satellite validation
This study investigates precipitation observed by a set of collocated ground-based instruments in Zhuhai, a coastal city located at the southern tip of the Pearl River Delta of Guangdong Province in South China. Seven months of ground-based observations from a tipping-bucket rain gauge (RG), two laser disdrometers (PARSIVEL and PWS), and a vertically-pointing Doppler Micro Rain Radar-2 (MRR), spanning from December 2021 to July 2022, are statistically evaluated to provide a reliable reference for China’s spaceborne precipitation measurement mission. Rainfall measurement discrepancies are found between the instruments, though the collocated deployment mitigates uncertainties originating from spatial/temporal variabilities of precipitation. The RG underestimates hourly rain amounts at the observation site, opposite to previous studies, leading to 18.2% percent bias (Pbias) of hourly rain amounts when compared to the PARSIVEL. With the same measurement principle, the hourly-accumulated rain between the two laser disdrometers has a Pbias of 15.3%. Discrepancies between MRR and disdrometers are assumed to be due to different temporal/spatial resolution, instrument sensitivities and observation geometry, with a Pbias of mass-weighted mean diameter and normalized intercept parameter of gamma size distribution less than 9%. The vertical profiles of drop size distribution (DSD) derived from the MRR are further examined during extreme rainfalls in the East Asia monsoon season (May, June, and July). Attributed to the abundant moisture which favors the growth of raindrops, coalescence is identified as the predominant effective process and the raindrop mass-weighted mean diameter increases by 33.7% when falling from 2000 m to 600 m during the extreme precipitation event in May.
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