Dynamic synthetic analysis of circulation field of tropical cyclones affecting Shanghai

Abstract

Eleven tropical cyclones (TCs) affected Shanghai and crossed the same latitude as Shanghai from 2007 to 2018. According to similar tracks from best-track data, TCs that cause significant precipitation in Shanghai can be divided into three types: landfall TCs, nearshore northward TCs, and western TCs. Based on ERA5 reanalysis data, the dynamic synthesis method was used to synthesize TC circulation situations to compare thermal, dynamic, water vapor, and stability conditions within TC circulations during the period when they affected Shanghai. The conclusions are as follows. 1) When the three TC types are at the same latitude as Shanghai, they are all in the divergent field in the upper troposphere. For the landfall type, the subtropical high at 500 hPa is stronger and farther north than usual, and there is a high-pressure dam on the north side of the TCs. 2) The warm advection of the three TC types at 925 hPa is located in the northern quadrant of the TCs. The dynamic and water vapor conditions are good in the north-western quadrant of landfall and western TCs, and more favorable in the eastern quadrant of nearshore northward TCs. 3) The favorable effects of all three types on precipitation in Shanghai come from the boundary layer. Water vapor, upward motion, and instability conditions of landfall TCs are superior to the other two TC types. The best water vapor, dynamic, and convective instability conditions are at the northern boundary in Shanghai during landfall TCs, and the main sources of water vapor in Shanghai come from the eastern and northern boundaries. During nearshore northward TCs, the main contribution to precipitation is from the eastern boundary, while better dynamic and water vapor conditions come from the western and northern boundaries during western TCs. The above findings provide scientific and technical support for operational forecasting precipitation from TCs affecting mega-cities.

Graphical abstract

Keywords

tropical cyclones / dynamic synthetic analysis / ERA5 reanalysis / Shanghai / similar track

References

[1] Albergel C, Dutra E, Munier S, Calvet J, Munoz-Sabater J, de Rosnay P, Balsamo G (2018). ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?.Hydrol Earth Syst Sci, 22(6): 3515–3532

[2] Belmonte Rivas M, Stoffelen A (2019). Characterizing ERA-Interim and ERA5 surface wind biases using ASCAT.Ocean Sci, 15(3): 831–852

[3] Bian G, Nie G, Qiu X (2021). How well is outer tropical cyclone size represented in the ERA5 reanalysis dataset?.Atmos Res, 249: 105339

[4] Bu S, Li Y (2020). Comparative analysis of precipitation distributions of tropical cyclones making landfall in east China.Chin J Atmos Sci, 44(1): 27–38

[5] Chen L, Ding Y (1979). Introduction to Western Pacific Typhoons. Beijing: Science Press (in Chinese)

[6] Dong M, Chen L, Li Y, Lu C (2010). Rainfall reinforcement associated with landfalling tropical cyclones.J Atmos Sci, 67(11): 3541–3558

[7] Feng T, Huang R, Chen G, Wu L, Huang P, Wang L (2013). Progress in recent climatological research on tropical cyclone activity over the western North Pacific.Chin J Atmos Sci, 37(2): 364–382

[8] Feng T, Shen X, Huang R, Chen G (2014). Influence of the interannual variation of cross-equatorial flow on tropical cyclogenesis over the western north Pacific.J Trop Meteorol, 30(1): 11–22

[9] Frank W M (1977). The structure and energetics of tropical cyclone I: storm structure.Mon Wea Rev, 105(9): 1119–1135

[10] Gray W M (1979). Recent advance in tropical cyclone research from rawnsonde analysis. WMO Program on Research in Tropical Meteorology. Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado 80523

[11] Hersbach H, Bell B, Berrisford P, Hirahara S, Horányi A, Muñoz-Sabater J, Nicolas J, Peubey C, Radu R, Schepers D, Simmons A, Soci C, Abdalla S, Abellan X, Balsamo G, Bechtold P, Biavati G, Bidlot J, Bonavita M, Chiara G, Dahlgren P, Dee D, Diamantakis M, Dragani R, Flemming J, Forbes R, Fuentes M, Geer A, Haimberger L, Healy S, Hogan R J, Hólm E, Janisková M, Keeley S, Laloyaux P, Lopez P, Lupu C, Radnoti G, Rosnay P, Rozum I, Vamborg F, Villaume S, Thépaut J N (2020). The ERA5 global reanalysis.Q J R Meteorol Soc, 146(730): 1999–2049

[12] Huang H, Zhao Y, Xun A, Chen J, Zhang W (2021). Causality analysis of difference of heavy rainfall distribution in Fujian caused by typhoons Soulik and Trami along similar tracks in 2013.Torrential Rain Disaster, 40(2): 136–146

[13] Lei X (2001). The precision analysis of the best positioning on WNP TC.J Trop Meteorol, 17(2): 65–70

[14] Lei X, Chen P, Yang Y, Qian Y (2009). Characters and objective assessment of disasters caused by typhoons in China.Acta Meteorol Sin, 67(5): 875–883

[15] Li Y, Chen L, Wang J (2004). The diagnostic analysis of the characteristics of large scales circulation corresponding to the sustaining and decaying of tropical cyclone after its landfall.Acta Meteorol Sin, 62(2): 167–179

[16] Li Y, Chen L, Wang J (2005). Diagnostic study of the sustaining and decaying of tropical cyclones after landfall.Chin J Atmos Sci, 29(3): 482–490

[17] Li Z, Hou Y, Li S, Li J (2021). Characteristics of wave field in the Yellow Sea and the Bohai Sea under the influence of two typical typhoons.Oceanol Limnol Sin, 52(1): 51–65

[18] Lu X, Yu H, Ying M, Zhao B, Zhang S, Lin L, Bai L, Wan R (2021). Western North Pacific tropical cyclone database created by the China Meteorological Administration.Adv Atmos Sci, 38(4): 690–699

[19] Meng X, Guo J, Han Y (2018). Preliminarily assessment of ERA5 reanalysis data.J Marine Meteo, 38(1): 91–99

[20] Ni Z, Wu L, Zhang L (2013). Analysis on forecasting errors and associated circulations of sudden typhoon track changes during 2005–2010.Meteor Mon, 39(6): 719–727

[21] Qian Y, Xu Y, Xu D (2013). Composite analysis on characteristic of tropical cyclone recurvature and landfall over East China Sea.Meteor Mon, 39(12): 1600–1607

[22] Shi J, Xiao F, Mu H, Xu J (2013). Losses assessment of typhoon disaster in Shanghai during 1949–2009.Resour Env Yangtze Basin, 22(7): 952–957

[23] Shou S, Yao X (1995). A diagnostic study of the composite ambient fields of the explosively developing typhoons.Chin J Atmos Sci, 19(4): 487–493

[24] Song J, Wang Y, Wu L (2010). Trend discrepancies among three best track data sets of western North Pacific tropical cyclones.J Geophys Res, 115(D12): D12128

[25] Tan Z, Wu R (1994). Helicity dynamics of atmospheric flow.Adv Atmos Sci, 11(2): 175–188

[26] Xu J (2005). Distribution of wind speed and direction when typhoons influencing Shanghai.Meteor Mon, 31(8): 66–70

[27] Yin H, Wang Y, Zhong W (2016). Characteristics and influence factors of the rapid intensification of tropical cyclone with different tracks in Northwest Pacific.J Meteorol Sci, 36(2): 54–62

[28] Yu R, Yu H, Duan Y (2013). Relationship between intensity change of tropical cyclone landing in south China and large-scale circulation.Trans Atmos Sci, 36(5): 619–625

[29] Yue C, Guo Y, Shou S, Cao Y (2011). Progress in application study of helicity to severe weathers.Torrential Rain Disaster, 30(2): 107–116

[30] Yue C, Tang Y, Gu W, Han Z, Wang X (2019). Study of urban barrier effect on local typhoon precipitation.Meteor Mon, 45(1): 1611–1620

Acknowledgments

This study was supported by the National Natural Science Foundation of China (Grant Nos. 41875059, 41875071, 41875051, 42005077, and U2142206), the Natural Science Foundation of Shanghai Science and Technology Committee (Nos. 21ZR1457700 and 22ZR1456100), and East China Phased Array Weather Radar Application Joint Laboratory.

Competing interests

The authors declare that they have no competing interests.

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2024 Higher Education Press

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