Dual-Polarization Radar-Based Quantitative Precipitation Estimation of Mountain Terrain Using Multi-Disdrometer Data

The precipitation systems that pass over mountains develop rapidly due to the forcible ascent caused by topography, and spatial rainfall distribution differences occur local development of system because topography. In order reduce damage orographic rainfall, it is essential provide field data with high accuracy. this study, estimation relationship was calculated using drop size obtained from 10 Parsivel disdrometers were installed along long axis Mt. Halla (oriented west–east; height: 1950 m; width: 78 km; length: 35 km) on Jeju Island, South Korea. An ensemble HSA (harmony search algorithm). Through linear combination relationships determined HSA, weight values each for intensity optimized. considering KDP, such as R(KDP) R(ZDR, KDP), had higher at rain rates more than mm h−1. Otherwise, R(ZH) R(ZH, ZDR) weights, not predominant weaker 5 method accurate estimated through an independent relationship. To generate reflected in according terrain altitude location, correction value comparing dual-polarization radar AWS observations. Halla’s showed a sharp difference changes topographical elevation. As result, possible calculate optimal process. Using proposed methodology, create reflects regional developmental characteristics precipitation.