Tropical Cyclogenesis Detection in Nwp at Kma
ABSTRACT: In this study, a tropical cyclogenesis detection system, Tropical Cyclone Analysis & Forecast (TCAF), was evaluated with an operational numerical model of the Korea Meteorological Administration (KMA). The tracking performance was compared with the result with the ECMWF model input fie...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2014-12-01
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| Series: | Tropical Cyclone Research and Review |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2225603218301164 |
| _version_ | 1818451404529860608 |
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| author | Woojeong Lee KiRyung Kang Jiyoung Kim Kun-Young Byun Jong Sook Park Seonghee Won Yunho Park WonTae Yun |
| author_facet | Woojeong Lee KiRyung Kang Jiyoung Kim Kun-Young Byun Jong Sook Park Seonghee Won Yunho Park WonTae Yun |
| author_sort | Woojeong Lee |
| collection | DOAJ |
| description | ABSTRACT: In this study, a tropical cyclogenesis detection system, Tropical Cyclone Analysis & Forecast (TCAF), was evaluated with an operational numerical model of the Korea Meteorological Administration (KMA). The tracking performance was compared with the result with the ECMWF model input field (TCAF-ECMWF). In order to improve the performance, different tracking time at an interval of 6 hours were investigated. The lowest false alarm rate and the highest hit rate (correct detection) were achieved at 06 hour after the initial tracking time. The tracking performance was also tested on two typhoons in 2013, LEEPI (1304) and DANAS (1324). The results showed that the TCAF-ECMWF detected tropical depressions 72 hours before the formation of the typhoon DANAS, which is a 12-hour earlier detection compared with the current performance with the use of KMA's numerical weather prediction (NWP) model data. So, it is expected that TC genesis detection could be improved by determining an optimal tracking time and by using more accurate NWP model data. Keywords: tropical cyclone, genesis detection, numerical weather prediction |
| first_indexed | 2024-12-14T21:06:40Z |
| format | Article |
| id | doaj.art-cf2d0adb29b645e88ad4cbec1a5c0189 |
| institution | Directory Open Access Journal |
| issn | 2225-6032 |
| language | English |
| last_indexed | 2024-12-14T21:06:40Z |
| publishDate | 2014-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Tropical Cyclone Research and Review |
| spelling | doaj.art-cf2d0adb29b645e88ad4cbec1a5c01892022-12-21T22:47:24ZengKeAi Communications Co., Ltd.Tropical Cyclone Research and Review2225-60322014-12-0134256269Tropical Cyclogenesis Detection in Nwp at KmaWoojeong Lee0KiRyung Kang1Jiyoung Kim2Kun-Young Byun3Jong Sook Park4Seonghee Won5Yunho Park6WonTae Yun7National Typhoon Center, Korea Meteorological Administration, Jeju, Korea; Corresponding author address: Woojeong Lee, National Typhoon Center, Korea Meteorological Administration, 810beon-gil, Seoseong-ro, Namwon-eup, Seoqwipo-si, Jeju 699-948, Korea.National Typhoon Center, Korea Meteorological Administration, Jeju, KoreaWeather Radar Center, Korea Meteorological Administration, Seoul, KoreaNational Typhoon Center, Korea Meteorological Administration, Jeju, KoreaGlobal Environment System Research Division, National Institute Meteorological Research, Korea Meteorological Administration, Jeju, KoreaForeast Research Division, National Institute Meteorological Research, Korea Meteorological Administration, Jeju, KoreaNumerical Model Development Division, Korea Meteorological Administration, Seoul, KoreaNational Typhoon Center, Korea Meteorological Administration, Jeju, KoreaABSTRACT: In this study, a tropical cyclogenesis detection system, Tropical Cyclone Analysis & Forecast (TCAF), was evaluated with an operational numerical model of the Korea Meteorological Administration (KMA). The tracking performance was compared with the result with the ECMWF model input field (TCAF-ECMWF). In order to improve the performance, different tracking time at an interval of 6 hours were investigated. The lowest false alarm rate and the highest hit rate (correct detection) were achieved at 06 hour after the initial tracking time. The tracking performance was also tested on two typhoons in 2013, LEEPI (1304) and DANAS (1324). The results showed that the TCAF-ECMWF detected tropical depressions 72 hours before the formation of the typhoon DANAS, which is a 12-hour earlier detection compared with the current performance with the use of KMA's numerical weather prediction (NWP) model data. So, it is expected that TC genesis detection could be improved by determining an optimal tracking time and by using more accurate NWP model data. Keywords: tropical cyclone, genesis detection, numerical weather predictionhttp://www.sciencedirect.com/science/article/pii/S2225603218301164 |
| spellingShingle | Woojeong Lee KiRyung Kang Jiyoung Kim Kun-Young Byun Jong Sook Park Seonghee Won Yunho Park WonTae Yun Tropical Cyclogenesis Detection in Nwp at Kma Tropical Cyclone Research and Review |
| title | Tropical Cyclogenesis Detection in Nwp at Kma |
| title_full | Tropical Cyclogenesis Detection in Nwp at Kma |
| title_fullStr | Tropical Cyclogenesis Detection in Nwp at Kma |
| title_full_unstemmed | Tropical Cyclogenesis Detection in Nwp at Kma |
| title_short | Tropical Cyclogenesis Detection in Nwp at Kma |
| title_sort | tropical cyclogenesis detection in nwp at kma |
| url | http://www.sciencedirect.com/science/article/pii/S2225603218301164 |
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