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A Climatology Model for Forecasting Typhoon Rainfall in Taiwan

Author

Listed:
  • Cheng-Shang Lee
  • Li-Rung Huang
  • Horng-Syi Shen
  • Shi-Ting Wang

Abstract

The continuous torrential rain associated with a typhoon often caused flood, landslide or debris flow, leading to serious damages to Taiwan. Thus, a usable scheme to forecast rainfall amount during a typhoon period is highly desired. An analysis using hourly rainfall amounts taken at 371 stations during 1989–2001 showed that the topographical lifting of typhoon circulation played an important role in producing heavier rainfall. A climatology model for typhoon rainfall, which considered the topographical lifting and the variations of rain rate with radius was then developed. The model could provide hourly rainfall at any station or any river basin for a given typhoon center. The cumulative rainfall along the forecasted typhoon track was also available. The results showed that the R 2 value between the model estimated and the observed cumulative rainfall during the typhoon period for the Dan-Shui (DSH) and Kao-Ping (KPS) River Basins reached 0.70 and 0.81, respectively. The R 2 values decreased slightly to 0.69 and 0.73 if individual stations were considered. However, the values decreased significantly to 0.40 and 0.51 for 3-hourly rainfalls, indicating the strong influence of the transient features in producing the heavier rainfall. In addition, the climatology model can only provide the average conditions. The characteristics in individual typhoons should be considered when applying the model in real-time operation. For example, the model could give reasonable cumulative rainfall amount at DSH before Nakri (2002) made landfall on Taiwan, but overestimated the rainfall after Nakri made landfall and weakened with significant reduction in convection. Copyright Springer 2006

Suggested Citation

  • Cheng-Shang Lee & Li-Rung Huang & Horng-Syi Shen & Shi-Ting Wang, 2006. "A Climatology Model for Forecasting Typhoon Rainfall in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 37(1), pages 87-105, February.
  • Handle: RePEc:spr:nathaz:v:37:y:2006:i:1:p:87-105
    DOI: 10.1007/s11069-005-4658-8
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    Citations

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    Cited by:

    1. Tsung-Yi Pan & Lung-Yao Chang & Jihn-Sung Lai & Hsiang-Kuan Chang & Cheng-Shang Lee & Yih-Chi Tan, 2014. "Coupling typhoon rainfall forecasting with overland-flow modeling for early warning of inundation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(3), pages 1763-1793, February.
    2. Chien-Yuan Chen & Lee-Yao Lin & Fan-Chieh Yu & Ching-Sheng Lee & Chun-Chieh Tseng & An-Hsiang Wang & Kei-Wai Cheung, 2007. "Improving debris flow monitoring in Taiwan by using high-resolution rainfall products from QPESUMS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 40(2), pages 447-461, February.
    3. Chih-Chiang Wei, 2020. "Real-time Extreme Rainfall Evaluation System for the Construction Industry Using Deep Convolutional Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2787-2805, July.
    4. Chia-Jeng Chen & Tsung-Yu Lee & Che-Min Chang & Jun-Yi Lee, 2018. "Assessing typhoon damages to Taiwan in the recent decade: return period analysis and loss prediction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 759-783, March.
    5. Chang-Chi Cheng & Nien-Sheng Hsu & Chih-Chiang Wei, 2008. "Decision-tree analysis on optimal release of reservoir storage under typhoon warnings," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 44(1), pages 65-84, January.
    6. Ying Huang & Long Jin & Hua-sheng Zhao & Xiao-yan Huang, 2018. "Fuzzy neural network and LLE Algorithm for forecasting precipitation in tropical cyclones: comparisons with interpolation method by ECMWF and stepwise regression method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 201-220, March.

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