Improving the extreme rainfall forecast of Typhoon Morakot (2009) by assimilating radar data from Taiwan Island and mainland China
Improving the extreme rainfall forecast of Typhoon Morakot (2009) by assimilating radar data from Taiwan Island and mainland China
复制标题
通过同化台湾岛和中国大陆的雷达数据改进台风莫拉克(2009)的极端降雨预报
DOI:
10.1007/s13351-017-6007-8
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发表时间:
2017-08
影响因子:
3.2
通讯作者:
Jou Ben Jong-Dao
中科院分区:
文献类型:
--
作者:
Bao Xuwei;Wu Dan;Lei Xiaotu;Ma Leiming;Wang Dongliang;Zhao Kun;Jou Ben Jong-Dao
This study examined the impact of an improved initial field through assimilating ground-based radar data from mainland China and Taiwan Island to simulate the long-lasting and extreme rainfall caused by Morakot (2009). The vortex location and the subsequent track analyzed through the radial velocity data assimilation (VDA) are generally consistent with the best track. The initial humidity within the radar detecting region and Morakot’s northward translation speed can be significantly improved by the radar reflectivity data assimilation (ZDA). As a result, the heavy rainfall on both sides of Taiwan Strait can be reproduced with the joint application of VDA and ZDA. Based on sensitivity experiments, it was found that, without ZDA, the simulated storm underwent an unrealistic inward contraction after 12-h integration, due to underestimation of humidity in the global reanalysis, leading to underestimation of rainfall amount and coverage. Without the vortex relocation via VDA, the moister (drier) initial field with (without) ZDA will produce a more southward (northward) track, so that the rainfall location on both sides of Taiwan Strait will be affected. It was further found that the improvement in the humidity field of Morakot is mainly due to assimilation of high-value reflectivity (strong convection) observed by the radars in Taiwan Island, especially at Kenting station. By analysis of parcel trajectories and calculation of water vapor flux divergence, it was also found that the improved typhoon circulation through assimilating radar data can draw more water vapor from the environment during the subsequent simulation, eventually contributing to the extreme rainfall on both sides of Taiwan Strait.
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影响因子:
0.8
作者:
I. Lin;M. Chou;Chun‐Chieh Wu
通讯作者:
I. Lin;M. Chou;Chun‐Chieh Wu
影响因子:
3.1
作者:
T. Tsuda;T. Inoue;S. Kato;S. Fukao;D. Fritts;T. Vanzandt
通讯作者:
T. Tsuda;T. Inoue;S. Kato;S. Fukao;D. Fritts;T. Vanzandt
影响因子:
3.1
作者:
Chung‐Chieh Wang;H. Kuo;Y. Chen;H. Huang;Chao Hsuan Chung;K. Tsuboki
通讯作者:
Chung‐Chieh Wang;H. Kuo;Y. Chen;H. Huang;Chao Hsuan Chung;K. Tsuboki
影响因子:
3.2
作者:
Jing Xu;Yuqing Wang
通讯作者:
Jing Xu;Yuqing Wang
影响因子:
8
作者:
Chun‐Chieh Wu
通讯作者:
Chun‐Chieh Wu