Volume 40 Issue 11
Nov.  2021
Turn off MathJax
Article Contents
Juan Ouyang, Chunhua Qiu, Zhenhui Yi, Dongxiao Wang, Danyi Su, Hong Liang, Zihao Yang. Interannual variability in the sea surface cooling induced by tropical cyclones in the South China Sea[J]. Acta Oceanologica Sinica, 2021, 40(11): 70-78. doi: 10.1007/s13131-021-1870-7
Citation: Juan Ouyang, Chunhua Qiu, Zhenhui Yi, Dongxiao Wang, Danyi Su, Hong Liang, Zihao Yang. Interannual variability in the sea surface cooling induced by tropical cyclones in the South China Sea[J]. Acta Oceanologica Sinica, 2021, 40(11): 70-78. doi: 10.1007/s13131-021-1870-7

Interannual variability in the sea surface cooling induced by tropical cyclones in the South China Sea

doi: 10.1007/s13131-021-1870-7
Funds:  The National Natural Science Foundation of China under contract No. 41976002.
More Information
  • Corresponding author: E-mail: qiuchh3@mail.sysu.edu.cn
  • Received Date: 2021-04-15
  • Accepted Date: 2021-06-21
  • Available Online: 2021-08-25
  • Publish Date: 2021-11-30
  • Sea surface cooling induced by tropical cyclones (TCs) is an important component of air-sea interactions. Using coordinate transformation and composite analysis methods, we examined the interannual variability in TC-induced sea surface cooling (TCSSC) in the South China Sea (SCS). The frequency of surface cooling cases was over 86% and that of surface warming cases was less than 14%. The magnitude of TCSSC was defined as the absolute value of TCSSC. The maximum magnitude of TCSSC occurred on the right side of the TC track, and the mean magnitude of TCSSC decreased by 0.04°C/a from 2006 to 2018. The interannual variability in TCSSC was highly correlated with the TC translation speed and pre-TC mixed layer depth. Notably, TCSSC got enhanced in El Niño years of 2007, 2010, and 2015. The El Niño types were suggested to determine the occurring periods of strong TCSSC via controlling the positions of SCS anticyclones, which brought pre-TC shallow mixed layer and caused strong TCSSC via vertical mixing process during El Niño events. To quantify how the anticyclone influences TCSSC, we need to use mixed layer heat balances model in the next study.
  • loading
  • [1]
    Argo. 2021. Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE, https://www.seanoe.org/data/00311/42182/, (2021-08-06)[2021-08-20], doi: 10.17882/42182
    [2]
    Brand S. 1971. The effects on a tropical cyclone of cooler surface waters due to upwelling and mixing produced by a prior tropical cyclone. Journal of Applied Meteorology and Climatology, 10(5): 865–874. doi: 10.1175/1520-0450(1971)010<0865:TEOATC>2.0.CO;2
    [3]
    Chan J C L. 2000. Tropical cyclone activity over the western North Pacific associated with El Niño and La Niña events. Journal of Climate, 13(16): 2960–2972. doi: 10.1175/1520-0442(2000)013<2960:TCAOTW>2.0.CO;2
    [4]
    Chang Yating, Lin I I, Huang H C, et al. 2020. The association of typhoon intensity increase with translation speed increase in the South China Sea. Sustainability, 12(3): 939. doi: 10.3390/su12030939
    [5]
    Chiang T L, Wu C R, Oey L Y. 2011. Typhoon Kai-Tak: An ocean’s perfect storm. Journal of Physical Oceanography, 41(1): 221–233. doi: 10.1175/2010JPO4518.1
    [6]
    Chu P C, Veneziano J M, Fan Chenwu, et al. 2000. Response of the South China Sea to tropical cyclone Ernie 1996. Journal of Geophysical Research: Oceans, 105(C6): 13991–14009. doi: 10.1029/2000JC900035
    [7]
    Cione J J, Uhlhorn E W. 2003. Sea surface temperature variability in hurricanes: Implications with respect to intensity change. Monthly Weather Review, 131(8): 1783–1796. doi: 10.1175//2562.1
    [8]
    D’Asaro E, Black P, Centurioni L, et al. 2011. Typhoon-ocean interaction in the Western North Pacific: Part 1. Oceanography, 24(4): 24–31. doi: 10.5670/oceanog.2011.91
    [9]
    D’Asaro E A, Sanford T B, Niiler P P, et al. 2007. Cold wake of hurricane Frances. Geophysical Research Letters, 34(15): L15609
    [10]
    Dare R A, McBride J L. 2011. Sea surface temperature response to tropical cyclones. Monthly Weather Review, 139(12): 3798–3808. doi: 10.1175/MWR-D-10-05019.1
    [11]
    Goh A Z C, Chan J C L. 2010. Interannual and interdecadal variations of tropical cyclone activity in the South China Sea. International Journal of Climatology, 30(6): 827–843. doi: 10.1002/joc.1943
    [12]
    Hazelworth J B. 1968. Water temperature variations resulting from hurricanes. Journal of Geophysical Research, 73(16): 5105–5123. doi: 10.1029/JB073i016p05105
    [13]
    Jansen M F, Ferrari R, Mooring T A. 2010. Seasonal versus permanent thermocline warming by tropical cyclones. Geophysical Research Letters, 37(3): L03602
    [14]
    Ko D S, Chao S Y, Wu C C, et al. 2014. Impacts of typhoon Megi (2010) on the South China Sea. Journal of Geophysical Research: Oceans, 119(7): 4474–4489. doi: 10.1002/2013JC009785
    [15]
    Large W G, Pond S. 1981. Open ocean momentum flux measurements in moderate to strong winds. Journal of Physical Oceanography, 11(3): 324–336. doi: 10.1175/1520-0485(1981)011<0324:OOMFMI>2.0.CO;2
    [16]
    Leipper D F. 1967. Observed ocean conditions and hurricane Hilda, 1964. Journal of the Atmospheric Sciences, 24(2): 182–186. doi: 10.1175/1520-0469(1967)024<0182:OOCAHH>2.0.CO;2
    [17]
    Lin I I. 2012. Typhoon-induced phytoplankton blooms and primary productivity increase in the western North Pacific subtropical ocean. Journal of Geophysical Research: Oceans, 117(C3): C03039
    [18]
    Lin I I, Liu W T, Wu C C, et al. 2003a. New evidence for enhanced ocean primary production triggered by tropical cyclone. Geophysical Research Letters, 30(13): 1718
    [19]
    Lin I I, Liu W T, Wu C C, et al. 2003b. Satellite observations of modulation of surface winds by typhoon-induced upper ocean cooling. Geophysical Research Letters, 30(3): 1131. doi: 10.1029/2002GL015674
    [20]
    Lin I I, Wu C C, Emanuel K A, et al. 2005. The interaction of supertyphoon Maemi (2003) with a warm ocean eddy. Monthly Weather Review, 133(9): 2635–2649. doi: 10.1175/MWR3005.1
    [21]
    Mei Wei, Lien C C, Lin I I, et al. 2015. Tropical cyclone-induced ocean response: A comparative study of the South China Sea and tropical Northwest Pacific. Journal of Climate, 28(15): 5952–5968. doi: 10.1175/JCLI-D-14-00651.1
    [22]
    Mei Wei, Pasquero C. 2013. Spatial and temporal characterization of sea surface temperature response to tropical cyclones. Journal of Climate, 26(11): 3745–3765. doi: 10.1175/JCLI-D-12-00125.1
    [23]
    Price J F. 1981. Upper ocean response to a hurricane. Journal of Physical Oceanography, 11(2): 153–175. doi: 10.1175/1520-0485(1981)011<0153:UORTAH>2.0.CO;2
    [24]
    Price J F, Morzel J, Niiler P P. 2008. Warming of SST in the cool wake of a moving hurricane. Journal of Geophysical Research: Oceans, 113(C7): C07010
    [25]
    Price J F, Sanford T B, Forristall G Z. 1994. Forced stage response to a moving hurricane. Journal of Physical Oceanography, 24(2): 233–260. doi: 10.1175/1520-0485(1994)024<0233:FSRTAM>2.0.CO;2
    [26]
    Schade L R, Emanuel K A. 1999. The ocean’s effect on the intensity of tropical cyclones: Results from a simple coupled atmosphere-ocean model. Journal of the Atmospheric Sciences, 56(4): 642–651. doi: 10.1175/1520-0469(1999)056<0642:TOSEOT>2.0.CO;2
    [27]
    Shay L K, Black P G, Mariano A J, et al. 1992. Upper ocean response to Hurricane Gilbert. Journal of Geophysical Research: Oceans, 97(C12): 20227–20248. doi: 10.1029/92JC01586
    [28]
    Sriver R L, Huber M. 2010. Modeled sensitivity of upper thermocline properties to tropical cyclone winds and possible feedbacks on the Hadley circulation. Geophysical Research Letters, 37(8): L08704
    [29]
    Stark J D, Donlon C J, Martin M J, et al. 2007. OSTIA: An operational, high resolution, real time, global sea surface temperature analysis system. In: OCEANS 2007-Europe. Aberdeen, UK: IEEE, 1–4
    [30]
    Wang Guihua, Su Jilan, Ding Yihui, et al. 2007. Tropical cyclone genesis over the South China Sea. Journal of Marine Systems, 68(3–4): 318–326
    [31]
    Wang Xin, Tan Wei, Wang Chunzai. 2018. A new index for identifying different types of El Niño Modoki events. Climate Dynamics, 50(7–8): 2753–2765
    [32]
    Wang Guihua, Wu Lingwei, Johnson N C, et al. 2016. Observed three-dimensional structure of ocean cooling induced by Pacific tropical cyclones. Geophysical Research Letters, 43(14): 7632–7638. doi: 10.1002/2016GL069605
    [33]
    Wang Bin, Yang Jing, Zhou Tianjun, et al. 2008. Interdecadal changes in the major modes of Asian-Australian monsoon variability: Strengthening relationship with ENSO since the Late 1970s. Journal of Climate, 21(8): 1771–1789. doi: 10.1175/2007JCLI1981.1
    [34]
    Wu Renguang, Chen Wen, Wang Guihua, et al. 2014. Relative contribution of ENSO and East Asian winter monsoon to the South China Sea SST anomalies during ENSO decaying years. Journal of Geophysical Research: Atmospheres, 119(9): 5046–5064. doi: 10.1002/2013JD021095
    [35]
    Ying Ming, Zhang Wei, Yu Hui, et al. 2014. An overview of the China meteorological administration tropical cyclone database. Journal of Atmospheric and Oceanic Technology, 31(2): 287–301. doi: 10.1175/JTECH-D-12-00119.1
    [36]
    Yuan Yuan, Yang Song, Zhang Zuqiang. 2012. Different evolutions of the Philippine Sea Anticyclone between the Eastern and Central Pacific El Niño: Possible effects of Indian Ocean SST. Journal of Climate, 25(22): 7867–7883. doi: 10.1175/JCLI-D-12-00004.1
    [37]
    Zhao Haikun, Wang Chunzai. 2019. On the relationship between ENSO and tropical cyclones in the western North Pacific during the boreal summer. Climate Dynamics, 52(1–2): 275–288
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(9)

    Article Metrics

    Article views (562) PDF downloads(24) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return