레이더 자료를 이용한 기하학적 태풍중심 탐지 기법 개선
Improvement of a Detecting Algorithm for Geometric Center of Typhoon using Weather Radar Data
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
The automatic algorithm optimized for the Korean Peninsula was developed to detect and track the center of typhoon based on a geometrical method using high-resolution retrieved WISSDOM (WInd Syntheses System using DOppler Measurements) wind and reflectivity data. This algorithm analyzes the center of typhoon by detecting the geometric circular structure of the typhoon’s eye in radar reflectivity and vorticity 2D field data. For optimizing the algorithm, the main factors of the algorithm were selected and the optimal thresholds were determined through sensitivity experiments for each factor. The center of typhoon was detected for 5 typhoon cases that approached or landed on Korean Peninsula. The performance was verified by comparing and analyzing from the best track of Korea Meteorological Administration (KMA). The detection rate for vorticity use was 15% higher on average than that for reflectivity use. The detection rate for vorticity use was up to 90% for DIANMU case in 2010. The difference between the detected locations and best tracks of KMA was 0.2o on average when using reflectivity and vorticity. After the optimization, the detection rate was improved overall, especially the detection rate more increased when using reflectivity than using vorticity. And the difference of location was reduced to 0.18o on average, increasing the accuracy.
Abstract
The automatic algorithm optimized for the Korean Peninsula was developed to detect and track the center of typhoon based on a geometrical method using high-resolution retrieved WISSDOM (WInd Syntheses System using DOppler Measurements) wind and reflectivity data. This algorithm analyzes the center of typhoon by detecting the geometric circular structure of the typhoon’s eye in radar reflectivity and vorticity 2D field data. For optimizing the algorithm, the main factors of the algorithm were selected and the optimal thresholds were determined through sensitivity experiments for each factor. The center of typhoon was detected for 5 typhoon cases that approached or landed on Korean Peninsula. The performance was verified by comparing and analyzing from the best track of Korea Meteorological Administration (KMA). The detection rate for vorticity use was 15% higher on average than that for reflectivity use. The detection rate for vorticity use was up to 90% for DIANMU case in 2010. The difference between the detected locations and best tracks of KMA was 0.2o on average when using reflectivity and vorticity. After the optimization, the detection rate was improved overall, especially the detection rate more increased when using reflectivity than using vorticity. And the difference of location was reduced to 0.18o on average, increasing the accuracy.
참고문헌 (22)
- Armijo, L., "A theory for the determination of wind and precipitation velocities with Doppler radars", J. Atmos. Sci, 26, pp.570~573 (1969)
- Bessho, K., "An introduction to Himawari-8", 9 – Japan’s new-generation geostationary meteorological satellites, 2016, pp.94, 151~183
- Brennan, M. J., "The operational use of QuikSCAT ocean surface vector winds at the National Hurricane Center", Wea. Forecasting, 24, pp.621~645 (2009)
- Chang, P. -L., "An algorithm for tracking eyes of tropical cyclones", Wea. Forecasting, 24, pp.245~261 (2009)
- Doviak, R. J., "Error estimation in wind fields derived from dual-Doppler radar measurement", J. Appl. Meteor, 15, pp.868~878 (1976)
- Dvorak, V. F., "A workbook on tropical clouds and cloud systems observed in satellite imagery", Tropical Cyclones, 2 (1995)
- Gao, J., "A variational method for the analysis of three-dimensional wind fields from two Doppler radars", Mon. Wea. Rev, 127, pp.2128~2142 (1999)
- Griffin, J. S., "Real-time airborne analysis of aircraft data supporting operational hurricane forecasting", Wea. Forecasting, 7, pp.480~490 (1992)
- Harasti, P. R., "Real-time implementation of VORTRAC at the National Hurricane Center", Pre-prints, 33rd Conf. on Radar Meteorology, Cairns, Australia, Amer. Meteor. Soc, pp.11A~ (2007)
- Kim, K. -H., "Retrieval and accuracy analysis of three-dimensional multiple-Doppler radar wind field using variational method", Proc. The autumn meeting of KMS, Jeju, Korean Meteorological Society, pp.152~ (2018)
- Kim, O. -H., "Improvement of TC center location analysis technology based on microwave satellite data", Proc. The autumn meeting of KMS, Busan, Korean Meteorological Society, pp.681~682 (2017)
- Lee, J. -M., "The estimation of typhoon center location using the radial velocity of Doppler-radar", Atmosphere, 12, pp.362~365 (2002)
- Lee, W. -C., "Tropical cyclone kinematic structure retrieved from single-Doppler radar observations. Part Ⅱ: The GBVTD-simplex center finding algorithm", Mon. Wea. Rev, 128, pp.1925~1936 (2000)
- Liou, Y. -C., "An application of the immersed boundary method for recovering the three-dimensional wind fields over complex terrain using multiple-Doppler radar data", Mon. Wea. Rev, 140, pp.1603~1619 (2012)[DOI]
- Liou, Y. -C., "The inland eyewall reintensification of Typhoon Fanapi(2010)documented from an observational perspective using multiple-Doppler radar and surface measurements", Mon. Wea. Rev, 144, pp.241~261 (2016)[DOI]
- Liu, C. -C., "Analysis on typhoon Longwang intensity changes over the ocean via satellite data", J. Mar. Sci. Technol, 17, pp.23~28 (2009)
- Loew, A., "Validation practices for satellite-based earth observation data across communities", Rev. Geophys, 55, pp.779~817 (2017)[DOI]
- Marks, F. D., "Dualaircraft investigation of the inner core of Hurricane Norbert. Part Ⅰ: Kinematic structure", J. Atmos. Sci, 49, pp.919~942 (1992)
- Miller, L. J., "Multiple-Doppler radar wind synthesis in CEDRIC. NCAR CEDRIC manual, Appendix F", 8~ (1991)
- Park, S. -G., "Estimation of the location of typhoon center using radar data", Proc. The autumn meeting of KMS, Korean Meteorological Society, pp.82~83 (2011)
- Wood, V. T., "Effects of radar proximity on single-Doppler velocity signatures of axisymmetric rotation and divergence", Mon. Wea. Rev, 120, pp.2798~2807 (1992)
- Wu, C. -C., "Eyewall contraction, breakdown and reformation in a landfalling typhoon", Geophys. Res. Lett, 30, pp.1887~ (2003)