Error-Estimation Ensemble Method in the Forecasting of Tropical Cyclone Tracks
Pan, Y.; Chen, Y.-P.; Yuan, J.-Y.; Liu, Y., and Xu, Z.-S., 2018. Error-Estimation Ensemble method in the forecasting of tropical cyclone tracks. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coa...
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Published in | Journal of coastal research Vol. 85; no. sp1; pp. 771 - 775 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Fort Lauderdale
Coastal Education and Research Foundation
01.05.2018
COASTAL EDUCATION & RESEARCH FOUNDATION, INC. [CERF] Allen Press Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Pan, Y.; Chen, Y.-P.; Yuan, J.-Y.; Liu, Y., and Xu, Z.-S., 2018. Error-Estimation Ensemble method in the forecasting of tropical cyclone tracks. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 771–775. Coconut Creek (Florida), ISSN 0749-0208. Tropical cyclones pose a great threat to coastal areas and accurate forecasting of their tracks is important for reducing and preventing coastal disasters. Multi-mode super-ensemble method was proposed to make full use of the forecasted tracks from different forecasting institutes. This paper proposed a modified multi-mode super-ensemble method, namely Error-Estimation Ensemble method, to overcome the shortcomings of traditional multi-mode super-ensemble method. The hypothesis, methodology and implementation of Error-Estimation Ensemble method are described. The EEE hindcast results of two typical tropical cyclones and all tropical cyclones that affects China coast are compared to those of four forecasting institutes. The comparison show that the EEE method reduces both the mean error and root-mean-square error of tropical cyclone track forecast, indicating that EEE method has better prediction accuracy and reliability. Discussions on present performance of EEE method and future works are present at last. |
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ISSN: | 0749-0208 1551-5036 |
DOI: | 10.2112/SI85-155.1 |