| GPM卫星和地面雷达对江苏盐城龙卷风强降水估测的对比 |
| |
| 引用本文： | 黄朝盈,张阿思,陈生,胡宝清.GPM卫星和地面雷达对江苏盐城龙卷风强降水估测的对比[J].大气科学学报,2020,43(2):370-380. |
| |
| 作者姓名： | 黄朝盈 张阿思 陈生 胡宝清 |
| |
| 作者单位： | 中山大学 大气科学学院, 广东 珠海 519000;热带大气海洋系统科学教育部重点实验室, 广东 珠海 519000,中山大学 大气科学学院, 广东 珠海 519000;热带大气海洋系统科学教育部重点实验室, 广东 珠海 519000,中山大学 大气科学学院, 广东 珠海 519000;热带大气海洋系统科学教育部重点实验室, 广东 珠海 519000,南宁师范大学 北部湾环境演变与资源利用教育部重点实验室, 广西 南宁 530000 |
| |
| 基金项目： | 广西自然科学基金项目（2018JJA150110）；广州市科技计划项目（201904010162） |
| |
| 摘 要： | 为综合评估卫星和天气雷达在2016年6月23日盐城龙卷风期间的强降水过程的降水估测精度,以国家级雨量站观测数据为基准,结合相关系数(CC)、相对误差(RB)、均方根误差(RMSE)以及分级评分指标,利用S波段的天气雷达定量降雨估测产品(RQPE)和全球降水观测计划多卫星融合产品(IMERG_FRCal,IMERG_FRUncal,IMERG_ERCal)进行比较。结果表明,雷达和卫星的累积降水量与雨量站的空间相关性很强(相关系数大于0.9),基本上能捕捉到整个降水过程的空间分布。降水主要分布在江苏省北部,但卫星高估了江苏省东北部强降水中心的降水量;对于小时时序区域平均降水,卫星高估了降水,而雷达低估了累积降水量。综合降水中心区域分析,IMERG的强降水区域降水量与雨量站的时间序列的偏差显著;RQPE在降水峰值达到之前及峰值之后与地面雨量站的变化趋势基本一致,但对降雨量峰值有明显的偏低。RQPE能较为准确地在时间上捕捉到降雨强度的变化趋势,但对于大雨及暴雨的估测能力不佳;RQPE的POD、SCI值都远远高于IMERG, FAR也较小。IMERG几乎未能监测到强降水的发生。总体上,RQPE对此次龙卷风强降水量的估测表现优于3种IMERG产品,特别是在捕捉强降水区域的空间分布方面,但对于强降水的估测能力仍需进一步改善。
|
| 关 键 词： | 盐城龙卷风 天气雷达 IMERG 定量降水估测 精度分析 |
| 收稿时间： | 2018/10/27 0:00:00 |
| 修稿时间： | 2019/1/15 0:00:00 |
Inter-comparison of rainfall estimates from radar,satellite and gauge during the Yancheng Tornado |
| |
| HUANG Chaoying,ZHANG Asi,CHEN Sheng and HU Baoqing.Inter-comparison of rainfall estimates from radar,satellite and gauge during the Yancheng Tornado[J].大气科学学报,2020,43(2):370-380. |
| |
| Authors: | HUANG Chaoying ZHANG Asi CHEN Sheng and HU Baoqing |
| |
| Institution: | School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China;Key Laboratory of Tropical Atmosphere-Ocean System(Sun Yat-sen University), Minstry of Education, Zhuhai 519000, China,School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China;Key Laboratory of Tropical Atmosphere-Ocean System(Sun Yat-sen University), Minstry of Education, Zhuhai 519000, China,School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China;Key Laboratory of Tropical Atmosphere-Ocean System(Sun Yat-sen University), Minstry of Education, Zhuhai 519000, China and Key Laboratory of Environment Change and Resources Use in Beibu Gulf(Nanning Normal University), Ministry of Education, Nanning 53000, China |
| |
| Abstract: | The study evaluates the rainfall estimates from ground radar network against Early and Final Run Integrated Multi-Satellite Retrievals for Global Precipitation Mission (IMERG) during an extreme precipitation storm over Yancheng Tornado on June 23,2016.The statistics indexes used in this study were as follows:correlative coefficient (CC),relative bias (RB) and root mean square error (RMSE),probability of detection (POD),critical success index (CSI) and false alarm ratio (FAR).From the results,the following were shown:1)the radar quantitative precipitation estimates (RQPE) and three IMERG can all capture the spatial pattern of storm cumulative rainfall with high CC from 0.91-0.98,and the RQPE was highly correlated with the gauge measurement (CC~0.98);2)the radar and satellite products can capture the rainfall center in Jiangsu Province;3)all the satellite products significantly overestimated the hourly area-mean cumulative precipitation from 46.32% to 60.11%, thus indicating a significantly deviation between the time series of IMERG and observation in the heavy rain storm;4)the RQPE agrees well with the trend of gauge observations before and after the peaks of rainfall,yet underestimates the maximum rainfall;5)the RQPE can effectively capture the trend of rainfall intensity in terms of space and time,but performs less effectively in estimating heavy rain and torrential rain (>5 mm/h);and 6)the POD,CSI and FAR values of RQPE are much higher than IMERG.IMERG can barely detect the occurrence of heavy precipitation (40 mm/h),while RQPE has the lowest value in the range of 40~45 mm/h.Overall,the radar outperforms the satellite in estimating precipitation during extreme rainfall storms,yet still requires improvement to capture the intensive rainfall peaks. |
| |
| Keywords: | tornado GPM weather radar quantitative precipitation estimation |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《大气科学学报》浏览原始摘要信息 |
| 点击此处可从《大气科学学报》下载免费的PDF全文 |
|
