Journal of Marine Sciences ›› 2024, Vol. 42 ›› Issue (2): 1-14.DOI: 10.3969/j.issn.1001-909X.2024.02.001
LI Sheng1,2,3,4, XUAN Jiliang2,3,*, HUANG Daji1,2,3
Received:
2023-07-17
Revised:
2023-09-15
Online:
2024-06-15
Published:
2024-08-09
Contact:
XUAN Jiliang
CLC Number:
LI Sheng, XUAN Jiliang, HUANG Daji. Responses of a warm mesoscale eddy to bypassed typhoon Megi in the South China Sea[J]. Journal of Marine Sciences, 2024, 42(2): 1-14.
Add to citation manager EndNote|Ris|BibTeX
URL: http://hyxyj.sio.org.cn/EN/10.3969/j.issn.1001-909X.2024.02.001
Fig.1 Trajectory and intensity of typhoon Megi (The colored line represents the trajectory of the typhoon, its color represents the maximum wind speed at the typhoon center, the dashed line box represents the research area, the black triangles represent the location of the typhoon center at 0 o’clock on that day, the green diamonds are the location of the Argo station, and the black thick lines are the region of the warm eddy on October 24.)
Fig.2 Daily mean SLA during the passage of typhoon Megi in the South China Sea (The blue solid line represents the trajectory of typhoon Megi, the blue dashed line represents the trajectory of typhoon Megi on that day, the blue triangles represent the center of the typhoon at 00:00, 12:00, and 24:00 on that day, the black solid line represents the region of the warm eddy, the green diamond marks the location of the Argo station. The black dashed line and the red dashed line in figure 2h represent the envelope of typhoon’s force 7 wind circle and the envelope of maximum wind speed circle, respectively. The symbols in the following figure are the same.)
Fig.3 Daily variation of the SLA maximum, radius, kinetic energy and amplitude of the warm eddy (The dashed line indicates the time when typhoon Megi begin to affect the warm eddy.)
Fig.4 The vertical profile and corresponding variation of temperature (a), salinity (b) and density excess (c) before and after the typhoon Megi at Argo station (The black solid line represents the data before the typhoon passes through, the black dashed line represents the data after the typhoon passes through, the red solid line represents the difference between the data after and before the typhoon passes through. The two black horizontal dashed lines correspond to the depths of the upper mixed layer before and after the typhoon passes through: 35 m and 90 m, respectively.)
Fig.5 The T-S plot (a) and the upwelling/downwelling distances calculated based on temperature and density profiles (b) at Argo station (In figure 5a, the black numbers indicate the density excesses, the blue and red numbers indicate the depths before and after sinking of some seawater sinking extreme points, respectively. In figure 5b, the black horizontal dashed lines mark the two characteristic water layers for the sinking distance: 60 m and 280 m.)
Fig.6 Daily wind field and wind stress curl at 12:00 during the passage of typhoon Megi in the South China Sea (The black dashed line represents the contours where wind stress curl is zero, the gray arrows represent wind vectors.)
Fig.7 Time-variation of Ekman pumping velocity, wind stress curl and accumulated thermocline upwelling/downwelling distances (The black solid line in figure 7a represents the moment when the warm eddy is closest to typhoon Megi. The black solid line in figure 7b represents the moment when the Argo station is closest to typhoon Megi, and the black dashed lines represent the time of the two observations at the Argo station.)
Fig.8 Time-variations of SLA (a-d); divergence of sea surface flow(e-h); flux of divergence, SLA maximum and amplitude within the warm eddy extent(i) (The vertical dashed line in figure 8i represents the time when typhoon Megi begin to affect the warm eddy.)
Fig.9 Divergence of sea surface flow (a-b), sea surface temperature(c-d), chlorophyll-a mass concentration(e-f) before and after the passage of typhoon Megi
[1] | ZHANG H. Modulation of upper ocean vertical temperature structure and heat content by a fast-moving tropical cyclone[J]. Journal of Physical Oceanography, 2023, 53(2): 493-508. |
[2] | PRICE J F. Upper ocean response to a hurricane[J]. Journal of Physical Oceanography, 1981, 11(2): 153-175. |
[3] | CHENG L, ZHU J, SRIVER R L. Global representation of tropical cyclone-induced short-term ocean thermal changes using Argo data[J]. Ocean Science, 2015, 11(5): 719-741. |
[4] | GREATBATCH R J. On the response of the ocean to a moving storm: Parameters and scales[J]. Journal of Physical Oceanography, 1984, 14(1): 59-78. |
[5] | EMANUEL K A. An air-sea interaction theory for tropical cyclones.Part I: Steady-state maintenance[J]. Journal of the Atmospheric Sciences, 1986, 43(6): 585-605. |
[6] | ZHANG H, CHEN D K, ZHOU L, et al. Upper ocean response to typhoon Kalmaegi (2014)[J]. Journal of Geophysical Research: Oceans, 2016, 121(8): 6520-6535. |
[7] | ZHANG H, LIU X H, WU R H, et al. Ocean response to successive typhoons Sarika and Haima (2016) based on data acquired via multiple satellites and moored array[J]. Remote Sensing, 2019, 11(20): 2360. |
[8] | JAIMES B, SHAY L K. Enhanced wind-driven downwelling flow in warm oceanic eddy features during the intensification of tropical cyclone Isaac (2012): Observations and theory[J]. Journal of Physical Oceanography, 2015, 45(6): 1667-1689. |
[9] | MA Z H, FEI J F, LIU L, et al. An investigation of the influences of mesoscale ocean eddies on tropical cyclone intensities[J]. Monthly Weather Review, 2017, 145(4): 1181-1201. |
[10] | ZHENG Z W, HO C R, ZHENG Q A, et al. Effects of preexisting cyclonic eddies on upper ocean responses to category 5 typhoons in the western North Pacific[J]. Journal of Geophysical Research: Oceans, 2010, 115:C09013. |
[11] | LIU X M, WANG M H, SHI W. A study of a Hurricane Katrina-induced phytoplankton bloom using satellite observations and model simulations[J]. Journal of Geophysical Research: Oceans, 2009, 114: C03023. |
[12] | ZHENG Z W, HO C R, KUO N J. Importance of pre-existing oceanic conditions to upper ocean response induced by super typhoon Hai-Tang[J]. Geophysical Research Letters, 2008, 35: L20603. |
[13] | ZHANG Y, ZHANG Z G, CHEN D K, et al. Strengthening of the Kuroshio current by intensifying tropical cyclones[J]. Science, 2020, 368(6494): 988-993. |
[14] | LU Z M, WANG G H, SHANG X D. Response of a preexisting cyclonic ocean eddy to a typhoon[J]. Journal of Physical Oceanography, 2016, 46(8): 2403-2410. |
[15] | WALKER N D, LEBEN R R, BALASUBRAMANIAN S. Hurricane-forced upwelling and chlorophyll a enhancement within cold-core cyclones in the Gulf of Mexico[J]. Geophysical Research Letters, 2005, 32(18): L18610. |
[16] | 刘广平, 胡建宇. 南海中尺度涡旋对热带气旋的响应:个例研究[J]. 台湾海峡, 2009, 28(3):308-315. |
LIU G P, HU J Y. Response of the mesoscale eddies to tropical cyclones in the South China Sea: A case study[J]. Journal of Oceanography in Taiwan Strait, 2009, 28(3): 308-315. | |
[17] | 刘欣, 韦骏. 热带气旋与海洋暖涡间的海-气相互作用[J]. 北京大学学报:自然科学版, 2014, 50(3):456-466. |
LIU X, WEI J. Air-sea interaction between tropical cyclone and ocean warm core ring[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2014, 50(3): 456-466. | |
[18] | CHIANG T L, WU C R, OEY L Y. Typhoon Kai-Tak: An ocean’s perfect storm[J]. Journal of Physical Oceanography, 2011, 41(1): 221-233. |
[19] | LIN I I, WU C C, EMANUEL K A, et al. The interaction of supertyphoon Maemi (2003) with a warm ocean eddy[J]. Monthly Weather Review, 2005, 133(9): 2635-2649. |
[20] | CHELTON D B, SCHLAX M G, SAMELSON R M. Global observations of nonlinear mesoscale eddies[J]. Progress in Oceanography, 2011, 91(2): 167-216. |
[21] | SHI Y Y, LIU X H, LIU T Y, et al. Characteristics of mesoscale eddies in the vicinity of the Kuroshio: Statistics from satellite altimeter observations and OFES model data[J]. Journal of Marine Science and Engineering, 2022, 10(12): 1975. |
[22] | SANFORD T B, PRICE J F, GIRTON J B. Upper-ocean response to hurricane Frances (2004) observed by profiling EM-APEX floats[J]. Journal of Physical Oceanography, 2011, 41(6): 1041-1056. |
[23] | SANFORD T B, PRICE J F, GIRTON J B, et al. Highly resolved observations and simulations of the ocean response to a hurricane[J]. Geophysical Research Letters, 2007, 34:L13604. |
[24] | ESAIAS W E, ABBOTT M R, BARTON I, et al. An overview of MODIS capabilities for ocean science obser-vations[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(4): 1250-1265. |
[25] | THOPPIL P G, HOGAN P J. Persian Gulf response to a wintertime shamal wind event[J]. Deep Sea Research Part I: Oceanographic Research Papers, 2010, 57(8): 946-955. |
[26] | PRICE J F, SANFORD T B, FORRISTALL G Z. Forced stage response to a moving hurricane[J]. Journal of Physical Oceanography, 1994, 24(2): 233-260. |
[27] | YING M, ZHANG W, YU H, et al. An overview of the China Meteorological Administration tropical cyclone database[J]. Journal of Atmospheric and Oceanic Technology, 2014, 31(2): 287-301. |
[28] | LU X Q, YU H, YING M, et al. Western North Pacific tropical cyclone database created by the China Meteorological Administration[J]. Advances in Atmospheric Sciences, 2021, 38(4): 690-699. |
[29] | RISER S C, FREELAND H J, ROEMMICH D, et al. Fifteen years of ocean observations with the global Argo array[J]. Nature Climate Change, 2016, 6(2): 145-153. |
[30] | 陈大可, 许建平, 马继瑞, 等. 全球实时海洋观测网(Argo)与上层海洋结构、变异及预测研究[J]. 地球科学进展, 2008, 23(1):1-7. |
CHEN D K, XU J P, MA J R, et al. Argo global observation network and studies of upperocean structure, variability and predictability[J]. Advances in Earth Science, 2008, 23(1): 1-7. | |
[31] | LIU S S, SUN L, WU Q Y, et al. The responses of cyclonic and anticyclonic eddies to typhoon forcing: The vertical temperature-salinity structure changes associated with the horizontal convergence/divergence[J]. Journal of Geophysical Research: Oceans, 2017, 122(6): 4974-4989. |
[32] | SUN L, YANG Y J, XIAN T, et al. Ocean responses to typhoon Namtheun explored with Argo floats and multiplatform satellites[J]. Atmosphere-Ocean, 2012, 50(supp): 15-26. |
[1] | CHEN Xiangyu, YU Jiangmei, SHEN Yuan, NI Yunlin, LU Fan. The applicability study of different typhoon wind fields in typhoon wave simulation in Zhejiang sea area [J]. Journal of Marine Sciences, 2024, 42(2): 15-25. |
[2] | ZHANG Xudong, QIU Zhongfeng, MAO Kefeng, WANG Penghao. Composed structure of mesoscale eddy in the Northwest Pacific Ocean and its influence on acoustic propagation [J]. Journal of Marine Sciences, 2024, 42(1): 58-68. |
[3] | FU Dianfu, XIE Botao, HUANG Bigui, JIN Weifang, MOU Yong, LIN Feilong. Study on frequency shift of typhoon-excited near-inertial waves in northwestern South China Sea [J]. Journal of Marine Sciences, 2023, 41(4): 12-20. |
[4] | LÜ Zhao, WU Zhiyuan, JIANG Changbo, ZHANG Haojian, GAO Kai, YAN Ren. Numerical investigation of the super typhoon Mangkhut based on the coupled air-sea model [J]. Journal of Marine Sciences, 2023, 41(4): 21-31. |
[5] | YU Jie, ZHANG Han, CHEN Dake. Upper ocean response to super typhoon Rammasun(2014) based on Argo data in the South China Sea [J]. Journal of Marine Sciences, 2023, 41(2): 14-27. |
[6] | KE Daoxun, ZHANG Han, TANG Youmin, et al. [J]. Journal of Marine Sciences, 2022, 40(1): 101-111. |
[7] | PAN Cunhong, PAN Dongzi, ZHENG Jun, CHEN Gang. Study on influence of typhoon on tidal bore in Qiantang River [J]. Journal of Marine Sciences, 2020, 38(4): 40-47. |
[8] | FANG Mingbao, HUANG Jiayu, YANG Wankang, SUN Chunjian. The study on design basis flood level of island nuclear power plant [J]. Journal of Marine Sciences, 2020, 38(4): 80-87. |
[9] | REN Jian-bo, HE Qing, SHEN Jian, GUO Lei-cheng, XU Fan. Numerical simulation of the effect of a remote typhoon “Sanba” on wave set-up and wave-induced current in the Changjiang Estuary [J]. Journal of Marine Sciences, 2019, 37(3): 21-30. |
[10] | MA Zhi-kang, FU Dong-yang, QU Ke, ZHU Feng-qin. Effects of typhoon Tembin on underwater acoustic wave propagation in two kinds of deep sound channel [J]. Journal of Marine Sciences, 2019, 37(3): 40-48. |
[11] | WU Zhi-yuan, JIANG Chang-bo, HE Zhi-yong, CHEN Jie, DENG Bin, XIE Zhen-dong. Coupled atmosphere and wave model and its application in an idealized typhoon [J]. Journal of Marine Sciences, 2019, 37(2): 9-15. |
[12] | 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. |
[13] | XUE Shu-jun. The analysis on characteristics of local typhoon intensity variation in the South China Sea [J]. Journal of Marine Sciences, 2018, 36(3): 1-16. |
[14] | CHEN Xia-yue, REN Yong-kuan, LI Lian-jun, MU Chang-kao, LI Rong-hua, SONG Wei-wei, WANG Chun-lin. Effect of typhoon on the antioxidant system and Na+, K+-ATPase activity in Portunus trituberculatus [J]. Journal of Marine Sciences, 2018, 36(3): 101-106. |
[15] | CHEN Cheng, LI Yan. Study on Molave typhoon wave in South China Sea based on SWAN model [J]. Journal of Marine Sciences, 2017, 35(4): 14-19. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||