Sensitivity of different parameterization schemes on Typhoon Kai-tak prediction based on the WRF model

WU Zhi-yuan; JIANG Chang-bo; DENG Bin; CAO Yong-gang

doi:10.3969/j.issn.1001-909X.2019.01.001

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Journal of Marine Sciences ›› 2019, Vol. 37 ›› Issue (1) : 1-8. DOI: 10.3969/j.issn.1001-909X.2019.01.001

Sensitivity of different parameterization schemes on Typhoon Kai-tak prediction based on the WRF model

WU Zhi-yuan^1,2,3, JIANG Chang-bo^*1,2, DENG Bin^1,2, CAO Yong-gang⁴

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Abstract

To accurately simulate the typhoon track and intensity, the WRF model was used to compare the sensitivity of different microphysical processes parameterization and cumulus convection parameterization on typhoon track and intensity simulation. The ensemble prediction method was been considered on the effect of the track and intensity error of typhoon Kai-tak. Four microphysical parameterization schemes and three cumulus convection parameterization schemes were selected to simulate for the track and intensity of Typhoon Kai-tak. The results show that different parameterization schemes have obvious influence on the simulation results of the track and intensity of typhoon. The parameterization scheme of cumulus convection is more sensitive than the parameterization scheme of microphysical process. Based on the ensemble prediction method of disturbing members based on different parameterization schemes, the simulation accurate of typhoon track and intensity is improved obviously. The error of typhoon track increases little with time, and the result is better than the simulation results of all twelve single schemes. From the aspect of typhoon intensity, the trend of typhoon intensity based on the ensemble prediction method is consistent with the actual result, which is better than the most of the test schemes. The results show that the ensemble prediction model constructed with different microphysical parameterization schemes and cumulus convection parameterization schemes can improve the simulation of typhoon track and intensity, reducing the track uncertainty produced by different parameterization schemes, which can provide a scientific reference for improving the forecasting ability of typhoon.

Key words

typhoon / mesoscale meteorological model / microphysical parameterization / cumulus convective parameterization / ensemble prediction method

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WU Zhi-yuan, JIANG Chang-bo, DENG Bin, CAO Yong-gang. Sensitivity of different parameterization schemes on Typhoon Kai-tak prediction based on the WRF model[J]. Journal of Marine Sciences. 2019, 37(1): 1-8 https://doi.org/10.3969/j.issn.1001-909X.2019.01.001

References

[1] FANG Jia-yi, LIU Wei, YANG Sai-ni, et al. Spatial-temporal changes of coastal and marine disasters risks and impacts in Mainland China[J]. Ocean & Coastal Management, 2017, 139: 125-140.
[2] GUAN Shou-de, LI Shui-qing, HOU Yi-jun, et al. Increasing threat of landfalling typhoons in the western North Pacific between 1974 and 2013[J]. International Journal of Applied Earth Observation and Geoinformation, 2018, 68: 279-286.
[3] ZHANG Xia-kun, CHEN Jian, LAI Zhen-quan, et al. Analysis of special strong wind and severe rainstorm caused by typhoon Rammasun in Guangxi, China[J]. Journal of Geoscience and Environment Protection, 2017, 5(8): 235-251.
[4] YU Xiao-long, PAN Wei-ran, ZHENG Xiang-jing, et al. Effects of wave-current interaction on storm surge in the Taiwan Strait: Insights from Typhoon Morakot[J]. Continental Shelf Research, 2017, 146: 47-57.
[5] WU Zhi-yuan, JIANG Chang-bo, DENG Bin, et al. Simulation of the storm surge in the South China Sea based on the coupled sea-air model[J]. Chin Sci Bull, 2018, 63(11): 3 494-3 504.
伍志元, 蒋昌波, 邓斌, 等. 基于海气耦合模式的南中国海北部风暴潮模拟[J]. 科学通报, 2018, 63(11): 3 494-3 504.
[6] VAN NGUYEN H, CHEN Y L. High-resolution initialization and simulations of Typhoon Morakot (2009)[J]. Monthly Weather Review, 2011, 139(5): 1 463-1 491.
[7] LI Jing, MA Wei-min, MA Zhan-hong, et al. Impacts of WRF model vertical grid resolution on typhoon numerical simulation[J]. Ocean Technology, 2013, 32(2):76-81.
李靖, 马卫民, 马占宏,等. 台风数值模拟中模式垂直分辨率的影响分析[J]. 海洋技术学报, 2013, 32(2):76-81.
[8] SUN Min, YUAN Hui-ling. Impact of microphysics and cumulus convective parameterization schemes on WRF numerical simulation of typhoon Morakot[J]. Journal of Tropical Meteorology, 2014, 30(5):941-951.
孙敏, 袁慧玲. WRF模式中微物理和积云对流参数化方案对台风“莫拉克”模拟敏感性分析[J]. 热带气象学报, 2014, 30(5):941-951.
[9] RAJU P V S, POTTY J, MOHANTY U C. Sensitivity of physical parameterizations on prediction of tropical cyclone Nargis over the Bay of Bengal using WRF model[J]. Meteorology and Atmospheric Physics, 2011, 113(3-4): 125.
[10] LI Xiang. Sensitivity of WRF simulated typhoon track and intensity over the Northwest Pacific Ocean to cumulus schemes[J]. Science China: Earth Sciences, 2012(12):1 966-1 978.
李响. WRF模式中积云对流参数化方案对西北太平洋台风路径与强度模拟的影响[J]. 中国科学:地球科学, 2012(12):1 966-1 978.
[11] ZHOU Hao, ZHU Wei-jun, PENG Shi-qiu. The impacts of different micro-physics schemes and boundary layer schemes on simulated track and intensity of super typhoon Megi (1013) [J]. Journal of Tropical Meteorology, 2013, 29(5):803-812.
周昊, 朱伟军, 彭世球. 不同微物理方案和边界层方案对超强台风“鲇鱼”路径和强度模拟的影响分析[J]. 热带气象学报, 2013, 29(5):803-812.
[12] LI Xiang. Sensitivity of WRF simulated typhoon track and intensity over the Northwest Pacific Ocean to cumulus schemes[J]. Science China Earth Sciences, 2013, 56(2): 270-281.
[13] ISLAM T, SRIVASTAVA P K, RICO-RAMIREZ M A, et al. Tracking a tropical cyclone through WRF-ARW simulation and sensitivity of model physics[J]. Natural Hazards, 2015, 76(3): 1 473-1 495.
[14] OSURI K K, MOHANTY U C, ROUTRAY A, et al. Customization of WRF-ARW model with physical parameterization schemes for the simulation of tropical cyclones over North Indian Ocean[J]. Natural Hazards, 2012, 63(3): 1 337-1 359.
[15] CHANDRASEKAR R, BALAJI C. Sensitivity of tropical cyclone Jal simulations to physics parameterizations[J]. Journal of Earth System Science, 2012, 121(4): 923-946.
[16] SUN Yuan, ZHONG Zhong, DONG Hong, et al. Sensitivity of tropical cyclone track simulation over the western North Pacific to different heating/drying rates in the Betts-Miller-Janjic' scheme[J]. Monthly Weather Review, 2015, 143(9): 3 478-3 494.
[17] SHEPHERD T J, WALSH K J. Sensitivity of hurricane track to cumulus parameterization schemes in the WRF model for three intense tropical cyclones: impact of convective asymmetry[J]. Meteorology and Atmospheric Physics, 2017, 129(4): 345-374.
[18] WANG W, BRUYÈRE C, DUDA M, et al. ARW version 3 modelling system user's guide[R]. 2009.
[19] SKAMAROCK W C, KLEMP J B, DUDHIA J, et al. A description of the advanced research WRF version 2[R]. National Center for Atmospheric Research Boulder Co Mesoscale and Microscale Meteorology Div, 2005.
[20] LAPRISE R. The Euler equations of motion with hydrostatic pressure as an independent variable[J]. Monthly weather review, 1992, 120(1): 197-207.