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 the topography, and spatial rainfall distribution differences occur due to the local development of the system because of the topography. In order to reduce the damage caused by orographic rainfal...
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MDPI AG
2022-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/10/2290 |
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| author | Cheol-Hwan You Sung-Ho Suh Woonseon Jung Hyeon-Joon Kim Dong-In Lee |
| author_facet | Cheol-Hwan You Sung-Ho Suh Woonseon Jung Hyeon-Joon Kim Dong-In Lee |
| author_sort | Cheol-Hwan You |
| collection | DOAJ |
| description | The precipitation systems that pass over mountains develop rapidly due to the forcible ascent caused by the topography, and spatial rainfall distribution differences occur due to the local development of the system because of the topography. In order to reduce the damage caused by orographic rainfall, it is essential to provide rainfall field data with high spatial rainfall accuracy. In this study, the rainfall estimation relationship was calculated using drop size distribution data obtained from 10 Parsivel disdrometers that were installed along the long axis of Mt. Halla (oriented west–east; height: 1950 m; width: 78 km; length: 35 km) on Jeju Island, South Korea. An ensemble rainfall estimation relationship was obtained using the HSA (harmony search algorithm). Through the linear combination of the rainfall estimation relationships determined by the HSA, the weight values of each relationship for each rainfall intensity were optimized. The relationships considering K<sub>DP</sub>, such as R(K<sub>DP</sub>) and R(Z<sub>DR</sub>, K<sub>DP</sub>), had higher weight values at rain rates that were more than 10 mm h<sup>−1</sup>. Otherwise, the R(Z<sub>H</sub>) and R(Z<sub>H</sub>, Z<sub>DR</sub>) weights, not considering K<sub>DP</sub>, were predominant at rain rates weaker than 5 mm h<sup>−1</sup>. The ensemble rainfall estimation method was more accurate than the rainfall that was estimated through an independent relationship. To generate the rain field that reflected the differences in the rainfall distribution according to terrain altitude and location, the spatial correction value was calculated by comparing the rainfall obtained from the dual-polarization radar and AWS observations. The distribution of Mt. Halla’s rainfall correction values showed a sharp difference according to the changes in the topographical elevation. As a result, it was possible to calculate the optimal rain field for the orographic rainfall through the ensemble of rainfall relationships and the spatial rainfall correction process. Using the proposed methodology, it is possible to create a rain field that reflects the regional developmental characteristics of precipitation. |
| first_indexed | 2024-03-10T01:57:32Z |
| format | Article |
| id | doaj.art-1b8b8e43a179459cba06c6b782a60d34 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T01:57:32Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-1b8b8e43a179459cba06c6b782a60d342023-11-23T12:53:40ZengMDPI AGRemote Sensing2072-42922022-05-011410229010.3390/rs14102290Dual-Polarization Radar-Based Quantitative Precipitation Estimation of Mountain Terrain Using Multi-Disdrometer DataCheol-Hwan You0Sung-Ho Suh1Woonseon Jung2Hyeon-Joon Kim3Dong-In Lee4Atmospheric Environmental Research Institute (AERI), Pukyong National University (PKNU), 45, Yongso-ro, Nam-gu, Busan 48513, KoreaFlight Safety Technology Division, NARO Space Center, Korea Aerospace Research Institute (KARI), 508, Haban-ro, Bongrae-myeon, Goheung-gun 59571, KoreaConvergence Meteorological Research Department, National Institute of Meteorological Sciences (NIMS), Jeju 63568, KoreaDepartment of Civil and Environmental Engineering, College of Engineering, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaAtmospheric Environmental Research Institute (AERI), Pukyong National University (PKNU), 45, Yongso-ro, Nam-gu, Busan 48513, KoreaThe precipitation systems that pass over mountains develop rapidly due to the forcible ascent caused by the topography, and spatial rainfall distribution differences occur due to the local development of the system because of the topography. In order to reduce the damage caused by orographic rainfall, it is essential to provide rainfall field data with high spatial rainfall accuracy. In this study, the rainfall estimation relationship was calculated using drop size distribution data obtained from 10 Parsivel disdrometers that were installed along the long axis of Mt. Halla (oriented west–east; height: 1950 m; width: 78 km; length: 35 km) on Jeju Island, South Korea. An ensemble rainfall estimation relationship was obtained using the HSA (harmony search algorithm). Through the linear combination of the rainfall estimation relationships determined by the HSA, the weight values of each relationship for each rainfall intensity were optimized. The relationships considering K<sub>DP</sub>, such as R(K<sub>DP</sub>) and R(Z<sub>DR</sub>, K<sub>DP</sub>), had higher weight values at rain rates that were more than 10 mm h<sup>−1</sup>. Otherwise, the R(Z<sub>H</sub>) and R(Z<sub>H</sub>, Z<sub>DR</sub>) weights, not considering K<sub>DP</sub>, were predominant at rain rates weaker than 5 mm h<sup>−1</sup>. The ensemble rainfall estimation method was more accurate than the rainfall that was estimated through an independent relationship. To generate the rain field that reflected the differences in the rainfall distribution according to terrain altitude and location, the spatial correction value was calculated by comparing the rainfall obtained from the dual-polarization radar and AWS observations. The distribution of Mt. Halla’s rainfall correction values showed a sharp difference according to the changes in the topographical elevation. As a result, it was possible to calculate the optimal rain field for the orographic rainfall through the ensemble of rainfall relationships and the spatial rainfall correction process. Using the proposed methodology, it is possible to create a rain field that reflects the regional developmental characteristics of precipitation.https://www.mdpi.com/2072-4292/14/10/2290quantitative precipitation estimationdual-polarization radardisdrometerorographic precipitationspatial bias correctionheuristic optimization algorithm |
| spellingShingle | Cheol-Hwan You Sung-Ho Suh Woonseon Jung Hyeon-Joon Kim Dong-In Lee Dual-Polarization Radar-Based Quantitative Precipitation Estimation of Mountain Terrain Using Multi-Disdrometer Data Remote Sensing quantitative precipitation estimation dual-polarization radar disdrometer orographic precipitation spatial bias correction heuristic optimization algorithm |
| title | Dual-Polarization Radar-Based Quantitative Precipitation Estimation of Mountain Terrain Using Multi-Disdrometer Data |
| title_full | Dual-Polarization Radar-Based Quantitative Precipitation Estimation of Mountain Terrain Using Multi-Disdrometer Data |
| title_fullStr | Dual-Polarization Radar-Based Quantitative Precipitation Estimation of Mountain Terrain Using Multi-Disdrometer Data |
| title_full_unstemmed | Dual-Polarization Radar-Based Quantitative Precipitation Estimation of Mountain Terrain Using Multi-Disdrometer Data |
| title_short | Dual-Polarization Radar-Based Quantitative Precipitation Estimation of Mountain Terrain Using Multi-Disdrometer Data |
| title_sort | dual polarization radar based quantitative precipitation estimation of mountain terrain using multi disdrometer data |
| topic | quantitative precipitation estimation dual-polarization radar disdrometer orographic precipitation spatial bias correction heuristic optimization algorithm |
| url | https://www.mdpi.com/2072-4292/14/10/2290 |
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