Interaction and Influence of Binary Typhoons

Zhang Xiaohui; Zhang Lifeng; Zhou Haishen; Wei Tongfeng

doi:10.11898/1001-7313.20190406

Vol.30, NO.4, 2019

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Article Navigation > Journal of Applied Meteorological Science > 2019 > 30(4): 456-466

Zhang Xiaohui, Zhang Lifeng, Zhou Haishen, et al. Interaction and influence of binary typhoons. J Appl Meteor Sci, 2019, 30(4): 456-466. DOI: 10.11898/1001-7313.20190406.

Citation:

Zhang Xiaohui, Zhang Lifeng, Zhou Haishen, et al. Interaction and influence of binary typhoons. J Appl Meteor Sci, 2019, 30(4): 456-466. DOI: 10.11898/1001-7313.20190406.

Zhang Xiaohui, Zhang Lifeng, Zhou Haishen, et al. Interaction and influence of binary typhoons. J Appl Meteor Sci, 2019, 30(4): 456-466. DOI: 10.11898/1001-7313.20190406.

Citation:

Zhang Xiaohui, Zhang Lifeng, Zhou Haishen, et al. Interaction and influence of binary typhoons. J Appl Meteor Sci, 2019, 30(4): 456-466. DOI: 10.11898/1001-7313.20190406.

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Interaction and Influence of Binary Typhoons

DOI: 10.11898/1001-7313.20190406

1.
Department of Aeronautical Meteorology, Aviation University of Air Force, Changchun 130000
2.
National University of Defense Technology, Nanjing 211100
3.
Unit 63769 of PLA, Xi'an 710000

Received Date: 2018-11-01
Rev Recd Date: 2019-03-01
Publish Date: 2019-07-31

Abstract

Abstract

The non-static mesoscale numerical model WRF V3.3 is used to study the influence of the interaction between binary typhoons on their moving path, intensity and precipitation. Data of NCEP FNL are used as initial field and side boundary conditions, and satellite data of ATOVS such as AMSUA, AMSUB, HIRS (3/4) are assimilated. Simulation results of binary typhoons in control runs, which are based on hybrid ensemble three-dimensional variational data assimilation (Ens-3DVar) system, are very close to the real intensity, moving path and precipitation. Beyond that, 6 sensitive experiments based on control runs are designed. The 96-hour simulations are conducted after one of the binary typhoons (Fitows/Danas/Goni/Morakot) is removed from the initial field which adopts the first step of vortex reconstruction technology in WRF ARW in the sensitive experiments (C1-RMF/C1-RMD/C2-RMG/C2-RMM). Experiment C2-WEM (C2-STM) is conducted by weakening or enhancing one of the binary typhoons in order to study effects of typhoon Morakot on typhoon Goni, but the typhoon radius is unchanged. Results of sensitive experiments and control runs are further compared and analyzed.In Case 1, the role of typhoon Danas leads typhoon Fitow to move southward and slower. The role of typhoon Fitow causes typhoon Danas to move northward but has little effects on the shifting speed. The strength of binary typhoons Fitow and Danas have been changed by the interaction between them. Specifically, the interaction of binary typhoons makes the intensity of typhoon Fitow and typhoon Danas stronger in the strong stage and weaker in the dying stage of typhoon Fitow. From 6 October to 9 October in 2013, the heavy precipitation in East China is mainly affected by typhoon Fitow. Affected by typhoon Danas, the precipitation intensity brought by typhoon Fitow is enhanced, and the heavy precipitation center moves southward.In Case 2, the interaction of binary typhoons makes typhoon Goni move southward and faster, but typhoon Goni has little influence on the movement and speed of typhoon Morakot. The winding path and direction change of typhoon Goni are all associated with typhoon Morakot. The bending extent of typhoon Goni is positively correlated with the strength of typhoon Morakot. Main causes are the interaction and transportation mechanism of vorticity, water vapor flux between binary typhoons.
- numerical experiment;
- binary typhoons;
- WRF model;
- bogussing

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References(24)

Figures and Tables

Fig. 1 Tracks of typhoon Fitow(a) and typhoon Danas(b) followed every 6 hours in different experiments in Case 1

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Fig. 2 Minimum pressure(a) and maximum wind speed(b) of typhoon Fitow, minimum pressure(c) and maximum wind speed(d) of typhoon Danas in Case 1

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Fig. 3 Accumulated precipitation in C1-CTL(a), C1-RMD(b) and C1-RMF(c) from 0000 UTC 6 Oct to 0000 UTC 7 Oct in 2013 in Case 1

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Fig. 4 Tracks of typhoon Goni(a) and typhoon Morakot(b) followed every 6 hours in different experiments in Case 2

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Fig. 5 Tracks of typhoon Goni affected by typhoon Morakot with different intensity followed every 6 hours in Case 2

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Fig. 6 Minimum pressure(a) and maximum wind speed(b) of typhoon Goni after removal of typhoon Morakot, minimum pressure(c) and maximum wind speed(d) of typhoon Morakot after removal of typhoon Goni in Case 2

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Fig. 7 Minimum pressure(a) and maximum wind speed(b) of typhoon Goni with different intensities of typhoon Morakot in Case 2

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Fig. 8 Accumulated precipitation in C2-CTL(a), C2-RMM(b) and C2-RMG(c) from 0000 UTC 4 Aug to 0000 UTC 5 Aug in 2009 in Case 2

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Table 1 Experiment design for Case 1

序号	试验名称	试验方案	试验目的
1	C1-CTL	基于Ens-3DVar同化系统的同化模拟	与敏感性试验对比
2	C1-RMF	方案同C1-CTL，在C1-CTL初始场移除台风菲特	揭示台风菲特对台风丹娜丝的影响
3	C1-RMD	方案同C1-CTL，在C1-CTL初始场移除台风丹娜丝	揭示台风丹娜丝对台风菲特的影响

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Table 2 Experiment design for Case 2

序号	试验名称	试验方案	试验目的
1	C2-CTL	基于Ens-3DVar同化系统的同化模拟	与敏感性试验对比
2	C2-RMG	方案同C2-CTL，在C2-CTL初始场移除台风天鹅	揭示台风天鹅对台风莫拉克的影响
3	C2-RMM	方案同C2-CTL，在C2-CTL初始场移除台风莫拉克	揭示台风莫拉克对台风天鹅的影响
4	C2-WEM	方案同C2-CTL，在C2-CTL初始场移除台风莫拉克，并在原中心位置加入一个比原台风强度更弱的涡旋	揭示台风莫拉克强度对台风天鹅的影响
5	C2-STM	方案同C2-WEM，仅在台风中心位置加入的涡旋比原台风强度更强	揭示台风莫拉克强度对台风天鹅的影响

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