Title |
Comparison of DAD Analysis Results Using Automated Rainfall Field Exploration Methods: Box-tracking, Point-tracking, and Advanced Point-tracking |
Authors |
김용탁(Kim, Yong-Tak) ; 김진영(Kim, Jin-Young) ; 한영천(Han, Young-Chun) ; 권현한(Kwon, Hyun-Han) |
DOI |
https://doi.org/10.12652/Ksce.2024.44.6.0773 |
Keywords |
면적강수량; Advanced Point-Tracking; Box-Tracking; Point-Tracking; DAD 분석 Areal rainfall; Advanced point-tracking; Box-tracking; Point-tracking; DAD Analysis |
Abstract |
This study presents an areal rainfall analysis conducted using three automated rainfall field exploration methods: Box-tracking, Point-tracking, and Advanced Point-tracking, with a focus on major storm events in South Korea. The characteristics of each method were compared, highlighting their ability to track rainfall distribution. The Box-tracking method allowed for the consideration of multiple storm centers through area expansion but showed limitations in accurately capturing storm shapes. In contrast, the Point-tracking method retained the storm center, enabling detailed representation of the storm shape but faced challenges in analyzing multiple storm centers. The Advanced Point-tracking method addressed these limitations by automatically identifying multiple storm centers and expanding the area to more accurately reflect the actual rainfall distribution. The differences in results provided by each method offered critical insights for understanding the intensity and distribution patterns of rainfall, which are essential for refining extreme rainfall predictions. These findings contribute valuable methodologies for more reliable Depth-Area-Duration (DAD) analysis of extreme rainfall events, particularly in the context of climate change, and provide crucial information for developing effective disaster mitigation strategies. |