Simulation of Mesoscale Convection Process into Sea Based on Downscaling Method

Hu Tiantian; Yi Xiaoyuan; Wu Di; Lin Yi; Zhu Nannan

doi:10.11898/1001-7313.20220606

Vol.33, NO.6, 2022

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Article Navigation > Journal of Applied Meteorological Science > 2022 > 33(6): 711-723

Hu Tiantian, Yi Xiaoyuan, Wu Di, et al. Simulation of mesoscale convection process into sea based on downscaling method. J Appl Meteor Sci, 2022, 33(6): 711-723. DOI: 10.11898/1001-7313.20220606.

Citation:

Hu Tiantian, Yi Xiaoyuan, Wu Di, et al. Simulation of mesoscale convection process into sea based on downscaling method. J Appl Meteor Sci, 2022, 33(6): 711-723. DOI: 10.11898/1001-7313.20220606.

Hu Tiantian, Yi Xiaoyuan, Wu Di, et al. Simulation of mesoscale convection process into sea based on downscaling method. J Appl Meteor Sci, 2022, 33(6): 711-723. DOI: 10.11898/1001-7313.20220606.

Citation:

Hu Tiantian, Yi Xiaoyuan, Wu Di, et al. Simulation of mesoscale convection process into sea based on downscaling method. J Appl Meteor Sci, 2022, 33(6): 711-723. DOI: 10.11898/1001-7313.20220606.

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Simulation of Mesoscale Convection Process into Sea Based on Downscaling Method

DOI: 10.11898/1001-7313.20220606

Hu Tiantian^{1, 2},
Yi Xiaoyuan³,
Wu Di^{4
,
,},
Lin Yi²,
Zhu Nannan^{1, 2}

1.
Tianjin Central Observatory for Oceanic Meteorology, Tianjin 300074
2.
Tianjin Key Laboratory for Oceanic Meteorology, Tianjin 300074
3.
Tianjin Meteorological Observatory, Tianjin 300074
4.
College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300

Received Date: 2022-06-26
Rev Recd Date: 2022-08-04

Available Online: 2022-11-21

Publish Date: 2022-11-17

Abstract

Abstract

Two processes of mesoscale convection moving eastward into the Bohai Bay on 12 May and 13 Jul in 2018, which are weakened process and enhanced process respectively, are simulated and analyzed by using the ocean-atmosphere-wave coupling model and dynamic downscaling method. Both processes occur under the control of strong southwesterly at low level and warm tongue near surface, which bring abundant water vapor and heat. The results show that the coupling model can simulate the right trend of the weakened process, but the wrong trend of the enhanced process, and the simulated intensity is overall weak. The simulation effects are improved obviously after the spatial resolution of the model increasing by using dynamic downscaling method twice. Through the comparison of sensitivity experiments, it is indicated that the coupling model has certain advantages in providing better initial and boundary conditions for the dynamic downscaling, which is suitable for the simulation, compared with the general atmospheric WRF model. Through the diagnosis and analysis of the simulation results, it's concluded that before the convection systems entering the sea, the convective available potential energy (CAPE) is large in the Bohai Bay and coastal areas. As the convection systems moving eastward into the sea, the CAPE is gradually consumed, but the supplement of CAPE in the enhanced process is stronger than that in the weakened process. The 0-6 km vertical wind shear condition of the enhanced process is also stronger than that of the weakened process in the Bohai Bay before the convection systems entering the sea, which is another favorable factor for the development of the convection. In the weakened process, the cold pool effect is increasingly stronger with an obvious rear inflow, and there is an obvious wind velocity convergence in the front of the cold pool during the convection systems moving. In the enhanced process, however, the strength of the cold pool is weaker, but the range is larger compared with the weakened process, and there is an obvious wind direction convergence in the front of the cold pool. In the weakened process, the underlying surface of the ocean provide less water vapor and heat energy for the convection region, making the convection difficult to maintain or further develop, while in the enhanced process the sea surface provides mass water vapor and heat energy transfer to the convective region when the convection system moving over the sea.
- ocean-atmosphere-wave coupling model;
- dynamic downscaling;
- mesoscale convection system into the sea;
- cold pool

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References(33)

Figures and Tables

图 1 模拟区域

Fig. 1 Simulation domain

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图 2 2018年5月12日和7月13日塘沽和沧州雷达组合反射率因子拼图

Fig. 2 Composite reflectivity factor of Tanggu and Cangzhou radars on 12 May and 13 Jul in 2018

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图 3 2018年5月12日和7月13日500 hPa高度场(蓝色等值线, 单位: dagpm)、温度场(红色等值线, 单位: ℃)和风场(风羽), 925 hPa水汽通量(填色)、高度场(蓝色等值线, 单位: dagpm)、温度场(红色等值线, 单位: ℃)和风场(风羽)，海平面气压(灰色实线, 单位: hPa)、2 m温度(填色)和10 m风场(风羽)

Fig. 3 500 hPa height(the blue isoline, unit: dagpm), temperature(the red isoline, unit: ℃) and wind(the barb); 925 hPa water vapor flux(the shaded), height(the blue isoline, unit: dagpm), temperature(the red isoline, unit: ℃) and wind(the barb); surface sea level pressure(the grey isoline, unit: hPa), 2 m temperature(the shaded) and 10 m wind(the barb) on 12 May and 13 Jul in 2018

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图 4 RMAPS-Ocean和两次降尺度后模拟的2018年5月12日和7月13日最大反射率因子

Fig. 4 Max reflectivity factor from RMAPS-Ocean and after two times downscaling on 12 May and 13 Jul in 2018

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图 5 同图 4，但为敏感性试验

Fig. 5 The same as in Fig. 4, but for the sensitivity experiment

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图 6 2018年5月12日和7月13日对流有效位能(填色)、0~6 km垂直风切变(红色等值线, 单位: m·s^-1)和850 hPa风场(风羽)

Fig. 6 Convective available potential energy(the shaded, unit: J), 0-6 km vertical wind shear(the red isoline, unit: m·s^-1) and 850 hPa wind(the barb) on 12 May and 13 Jul in 2018

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图 7 2018年5月12日和7月13日浮力B(填色)及纬向风(单位: m·s^-1)与垂直速度(单位: 10^-1m·s^-1)合成场(箭头) 垂直剖面(沿图4中黑色实线，图底部的蓝色实线代表海洋下垫面)

Fig. 7 Vertical cross-section of buoyancy B(the shaded) and the combination(the arrow) of zonal wind(unit: m·s^-1) and vertical movement(unit: 10^-1m·s^-1) on 12 May and 13 Jul in 2018(the vertical cross-sections are made along the black line in Fig.4, blue solid lines in the bottom of the figures denote the sea surface)

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图 8 2018年5月12日和7月13日区域平均的视热源Q₁和视水汽汇Q₂及其局地变化Q_{1_lc}，Q_{2_lc}, 水平平流Q_{1_adv}，Q_{2_adv}和垂直输送Q_{1_vt}，Q_{2_vt}作用的垂直廓线(选择区域见图 4中红色方框)

Fig. 8 Vertical profile of apparent heat source Q₁, apparent moist sink Q₂, as well as effects of local change Q_{1_lc} and Q_{2_lc}, horizontal advection Q_{1_adv} and Q_{2_adv}, vertical transfer Q_{1_vt} and Q_{2_vt} effects on 12 May and 13 Jul in 2018(the selected region is shown in red box in Fig. 4)

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References

[1]	Yu X D, Zheng Y G. Advances in severe convection research and operation in China. Acta Meteor Sinica, 2020, 78(3): 391-418. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB202003006.htm
[2]	Liu N, Xiong A Y, Zhang Q, et al. Development of basic dataset of severe convective weather for artificial intelligence training. J Appl Meteor Sci, 2021, 32(5): 530-541. doi: 10.11898/1001-7313.20210502
[3]	Wang Y T, Wang X M, Yu X D. Radar characteristics of straight-line damaging wind producing supercell storms. J Appl Meteor Sci, 2022, 33(2): 180-191. doi: 10.11898/1001-7313.20220205
[4]	Ma S P, Wang X M, Yu X D. Environmental parameter characteristics of severe wind with extreme thunderstorm. J Appl Meteor Sci, 2019, 30(3): 292-301. doi: 10.11898/1001-7313.20190304
[5]	Wang J L, Yu X D, Tang X Z, et al. Characteristics of convection-triggering drylines in the drainage area of Huanghe and Huaihe River. J Appl Meteor Sci, 2021, 32(5): 592-602. doi: 10.11898/1001-7313.20210507
[6]	Chyi D, He L F, Wang X M, et al. Fine obervation characteristics and thermodynamic mechanisms of extreme heavy rainfall in Henan on 20 July 2021. J Appl Meteor Sci, 2022, 33(1): 1-15. doi: 10.11898/1001-7313.20220101
[7]	Tian C, Zhou W C, Miao J F. Review of impact of land surface characteristics on severe convective weather in China. Meteor Sci Technol, 2012, 40(2): 207-212. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ201202014.htm
[8]	Diao X G, Li F, Wan F J. Comparative analysis on dual polarization features of two severe hail supercells. J Appl Meteor Sci, 2022, 33(4): 414-428. doi: 10.11898/1001-7313.20220403
[9]	Chen S Q, Huang H, Zhou L Q, et al. Analysis on the intensity changes of convective cells on the Hangzhou Bay when entering the sea. Meteor Mon, 2011, 37(7): 889-896. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201107015.htm
[10]	Zhang L N, Sun J Z, Ying Z M, et al. Initiation and development of a squall line crossing Hangzhou Bay. J Geophys Res Atmos, 2021, 126(1), e2020JD032504.
[11]	Li Y J, Chen X L, Jing H, et al. The monitoring for the severe convective weather and the preliminary building of its conceptual model in the Bohai Sea. Marin Forec, 2013, 30(4): 45-56. https://www.cnki.com.cn/Article/CJFDTOTAL-HYYB201304007.htm
[12]	He J, Yu C, Lu X M. Analysis of a thunderstorm gale process in the south-central Bohai Sea. Marin Forec, 2011, 28(1): 19-24. https://www.cnki.com.cn/Article/CJFDTOTAL-HYYB201101005.htm
[13]	Wang Y, Yu L L, Li Y W, et al. The role of boundary layer convergence line in initiation of severe weather events. J Appl Meteor Sci, 2011, 22(6): 724-731. http://qikan.camscma.cn/article/id/20110610
[14]	Wang Y N, Li Y H, Sun M N. Numerical simulation study of the effect of underlying sea surface on thunderstorm wind in the western Bohai Sea. Marin Forec, 2019, 36(3): 24-32. https://www.cnki.com.cn/Article/CJFDTOTAL-HYYB201903004.htm
[15]	Yi X Y, Li Z C, Sun X L, et al. The structure and origin of a rainstorm-inducing mesoscale convective system on western coast of Bohai Bay. J Appl Meteor Sci, 2011, 22(1): 23-31. http://qikan.camscma.cn/article/id/20110103
[16]	Lu R, Sun J H, Fu S M. Influence of offshore initial moisture field and convection on the development of coastal convection in a heavy rainfall event over South China during the pre-summer rainy season. Chinese J Atmos Sci, 2018, 42(1): 1-15. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXK201801001.htm
[17]	He L F, Chen S, Guo Y Q. Observation characteristics and synoptic mechanisms of Typhoon Lekima extreme rainfall in 2019. J Appl Meteor Sci, 2020, 31(5): 513-526. doi: 10.11898/1001-7313.20200501
[18]	Qin H, Zheng F Q, Wu L Q. The interaction between intensity and rainfall of Typhoon Rammasun(1409). J Appl Meteor Sci, 2022, 33(4): 477-488. doi: 10.11898/1001-7313.20220408
[19]	Dong J Y, Cui Y, Ruan Z, et al. Retrieval and experiments of atmospheric vertical motions in convective precipitation clouds. J Appl Meteor Sci, 2022, 33(2): 167-179. doi: 10.11898/1001-7313.20220204
[20]	Young G, Leddvina L, Fairall C. Influence of precipitating convection on the surface energy budget observed during a tropical ocean global atmosphere pilot cruise in the tropical western Pacific Ocean. I. Layer accompanying a tropical squall line. Mon Wea Rev, 1992, 111: 308-319.
[21]	Tao J, Yi X Y, Zhao H K, et al. Numerical simulation on the influence of Bohai Sea to a squall line process. Plateau Meteor, 2019, 38(4): 756-772. https://www.cnki.com.cn/Article/CJFDTOTAL-GYQX201904009.htm
[22]	Murray J C, Colle B A. The satial and temporal variability of convective storms over the northeast United States during the warm season. Mon Wea Rev, 2011, 139(3): 992-1012.
[23]	Wu R, Kirtman P. Roles of Indian and Pacific Ocean air-sea coupling in tropical atmospheric variability. Climate Dyn, 2005, 25: 155-170.
[24]	Wang Y, Leung L R, McGregor J L, et al. Regional climate modeling: Progress, challenges and prospects. J Meteor Soc Japan, 2004, 82: 1599-1628.
[25]	Giorgi F, Mearns L O. Approaches to the simulation of regional climate change: A review. Reviews of Geophysics, 1991, 29(2): 191-216.
[26]	Gao X J, Shi Y, Giorgi F. A high resolution simulation of climate change over China. Sci China(Earth Sci), 2010, 40(7): 911-922. https://www.cnki.com.cn/Article/CJFDTOTAL-JDXK201007012.htm
[27]	Yao J C, Zhou T J, Zou L W. Dynamical downscaling of tropical cyclone and associated rainfall simulations of FGOALS-g2. Chinese J Atmos Sci, 2018, 42(1): 150-163. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXK201801011.htm
[28]	Zhang K F, Wang D H, Zhang Y. Study on impacts of dynamic downscaling and multi-physical parameterization scheme combination on ensemble forecast of annually first rainy season in south China. J Trop Meteor, 2020, 36(5): 668-682. https://www.cnki.com.cn/Article/CJFDTOTAL-RDQX202005009.htm
[29]	Li M, Zhang S, Wu L. A high-resolution Asia-Pacific regional coupled prediction system with dynamically downscaling coupled data assimilation. Sci Bull, 2020, 65: 1849-1858.
[30]	Xu Y, Shao M R, Tang K, et al. Multiscale characteristics of two supercell tornados of Heilongjiang in 2021. J Appl Meteor Sci, 2022, 33(3): 305-318. doi: 10.11898/1001-7313.20220305
[31]	Correia J, Arritt R W, Anderson C J. Idealized mesoscale convective system structure and propagation using convective parameterization. Mon Wea Rev, 2008, 136(7): 2422-2442.
[32]	Yanai M, Esbensen S, Chu J. Determination of bulk properties of tropocal cloud clusters from large-scale heat and moisture budgets. J Atmos Sci, 1973, 30(4): 611-627.
[33]	Hu Z H, Li G P, Guan C G, et al. Diagnostic analysis of mesoscale convective systems influence on sustained rainstorm caused by southwest vortex. Plateau Meteor, 2014, 33(1): 116-129. https://www.cnki.com.cn/Article/CJFDTOTAL-GYQX201401012.htm