Research on Precipitation Threshold Model Based on GNSS PWV and FY-4A Lightning Data
Abstract Taking Hebei province as an example, this paper conducts research on precipitation threshold models by integrating GNSS PWV and the Fengyun-4 meteorological satellite(FY-4A) lightning data. By comparing precipitation, we determine the threshold values for judging the impact indicators. We set a range of candidate threshold values, and use the critical success index(CSI) to obtain the threshold values for each impact indicator. We add FY-4A lightning data and obtain the optimal threshold selection model. By applying the optimal threshold selection model to three additional sites, we validate the effectiveness of the research model. The results show that the precipitation threshold model, which integrates GNSS PWV and FY-4A lightning data, has an accuracy rate of approximately 60% to 80%, with a false alarm rate controlled at around 20% to 40%.
Key words :
GNSS
PWV
FY-4A lightning data
CSI
thresholds
Cite this article:
WANG Yong,ZHOU Zhou,WU Wentan et al. Research on Precipitation Threshold Model Based on GNSS PWV and FY-4A Lightning Data[J]. jgg, 2024, 44(1): 1-4.
WANG Yong,ZHOU Zhou,WU Wentan et al. Research on Precipitation Threshold Model Based on GNSS PWV and FY-4A Lightning Data[J]. jgg, 2024, 44(1): 1-4.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2024/V44/I1/1
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