%0 Journal Article
%T 多源融合气象数据在眉山暴雨监测中的应用评估
Application Evaluation of Multi-Source Integrated Meteorological Data in Meishan Rainstorm Monitoring
%A 刘姝岩
%A 罗张咏
%A 陈龙钰
%J Climate Change Research Letters
%P 655-661
%@ 2168-5703
%D 2025
%I Hans Publishing
%R 10.12677/ccrl.2025.144065
%X 为检验多源融合实况产品(ART-1km)对在复杂地形下对暴雨降水过程的监测能力,以2022年6月22~23、6月25~26日眉山两次区域性暴雨过程为例,将多源融合实况产品(ART-1km)与地面观测逐小时及过程累计降水数据进行空间对比和统计评估。研究表明多源融合实况产品(ART-1km)具有较高的准确性,降雨落区在空间分布上较为一致,但是由于眉山地区高达3000米的海拔差异,多源融合实况产品(ART-1km)在极端降水过程中降雨量在明显偏低的情况,特别是在西部沿山高海拔区域。
To evaluate the monitoring capability of multi-source integrated meteorological data for heavy rainfall processes, this study analyzed two torrential rain events in Meishan on June 22-23 and June 25-26, 2022, using ground-observed hourly precipitation data for spatial comparison and statistical evaluation. The results indicate that the ART-1KM multi-source integrated grid product exhibits high accuracy and effectively captures the spatial distribution of precipitation in Meishan. However, due to topographic elevation differences in the Meishan region, the precipitation fusion product underestimates the intensity of extreme rainfall events, showing a notable downward bias.
%K 多源融合格点实况,
%K 灾害性天气,
%K 检验
Multi-Source Integrated Grid Observations
%K Disastrous Weather
%K Validation
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=119196