Cite this paper:
Mingyu LI, Yijun HE, Guoqiang LIU. Atmospheric and oceanic responses to Super Typhoon Mangkhut in the South China Sea: a coupled CROCO-WRF simulation[J]. Journal of Oceanology and Limnology, 2023, 41(4): 1369-1388

Atmospheric and oceanic responses to Super Typhoon Mangkhut in the South China Sea: a coupled CROCO-WRF simulation

Mingyu LI1, Yijun HE1, Guoqiang LIU1,2,3,4
1 School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2 Marine Science and Engineering Guangdong Laboratory, Zhuhai 519000, China;
3 Department of Engineering Mathematics and Internetworking, Dalhousie University, Halifax B3H 4R2, Canada;
4 Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth B2Y 4A2, Canada
Abstract:
The South China Sea (SCS) is the largest marginal sea in the Northwest Pacific Ocean, and it encounters frequent typhoons. The atmosphere and ocean will create significant thermal and dynamic responses during the intense disturbance caused by typhoons. However, these responses have not been thoroughly investigated owing to the complicated marine environment. According to the satellite data, the SCS Basin was observed to have a strong sea surface temperature (SST) response to Typhoon Mangkhut, resulting in widespread SST cooling. A coupled model was used to investigate the atmospheric and oceanic responses to Typhoon Mangkhut. Best-track data, satellite SST, and ARGO measurements show that the coupled WRF-CROCO simulation displays better track, intensity, SST, temperature, and salinity profiles than those of the WRF-only simulation. Results show that the typhoon induced rightward intensifications in wind speed, ocean current, and SST. The following are some remarkable atmosphere and ocean responses: (1) the SST below the inner-core region is cooled by 1 ℃, resulting in a 37%–44% decrease in wet enthalpy, and the central pressure is increased by ~9 hPa. Therefore, the changes in SST below the inner-core region of the SCS Basin have a significant impact on air-sea fluxes under high-wind conditions; (2) the ocean boundary layer analysis shows that near-inertial oscillations on the right side of the typhoon track and a strong inertial current up to ~2.28 m/s in the upper ocean were observed, which resonated with the local wind and flow field on the right side and induced strong SST cooling; (3) a decrease in SST decreased the moist static energy of the typhoon boundary layer, thereby weakening the typhoon’s intensity. The difference in equivalent potential temperature and sea surface pressure have a good correlation, indicating that the influence of moist static energy on typhoon intensity cannot be overlooked.
Key words:    Super Typhoon Mangkhut|coupled ocean-atmosphere model|wet enthalpy|inertial current   
Received: 2021-10-10   Revised:
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References:
Bakhshaii A, Johnson E A. 2019. A review of a new generation of wildfire-atmosphere modeling. Canadian Journal of Forest Research, 49(6): 565-574, https://doi.org/10.1139/cjfr-2018-0138.
Bender M A, Ginis I. 2000. Real-case simulations of hurricane-ocean interaction using a high-resolution coupled model: effects on hurricane intensity. Monthly Weather Review, 128(4): 917-946, https://doi.org/10.1175/1520-0493(2000)128<0917:RCSOHO>2.0.CO;2.
Bender M A, Ginis I, Tuleya R et al. 2007. The operational GFDL coupled hurricane-ocean prediction system and a summary of its performance. Monthly Weather Review, 135(12): 3965-3989, https://doi.org/10.1175/2007MWR2032.1.
Berger A, Barbet C, Leriche M et al. 2016. Evaluation of Meso-NH and WRF/CHEM simulated gas and aerosol chemistry over Europe based on hourly observations.Atmospheric Research, 176-177: 43-63, https://doi.org/10.1016/j.atmosres.2016.02.006.
Black W J, Dickey T D. 2008. Observations and analyses of upper ocean responses to tropical storms and hurricanes in the vicinity of Bermuda. Journal of Geophysical Research, 113(C8): C08009, https://doi.org/10.1029/2007JC004358.
Chen F, Dudhia J. 2001. Coupling an advanced land surfacehydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity. Monthly Weather Review, 129(4): 569-585, https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2.
Chen G X, Xue H J, Wang D X et al. 2013. Observed nearinertial kinetic energy in the northwestern South China Sea. Journal of Geophysical Research, 118(10): 4965-4977, https://doi.org/10.1002/jgrc.20371.
Chen S S, Price J F, Zhao W et al. 2007. The CBLASThurricane program and the next-generation fully coupled atmosphere-wave-ocean models for hurricane research and prediction. Bulletin of the American Meteorological Society, 88(3): 311-313, https://doi.org/10.1175/BAMS-88-3-311.
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, https://doi.org/10.1175/2010JPO4518.1.
Chu P C, Veneziano J M, Fan C W et al. 2000. Response of the South China Sea to tropical cyclone Ernie 1996.Journal of Geophysical Research, 105(C6): 13991-14009, https://doi.org/10.1029/2000JC900035.
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, https://doi.org/10.1175//2562.1.
Craig A, Valcke S, Coquart L. 2017. Development and performance of a new version of the OASIS coupler, OASIS3-MCT_3.0. Geoscientific Model Development, 10(9):3297-3308, https://doi.org/10.5194/gmd-10-3297-2017.
Debreu L, Marchesiello P, Penven P et al. 2012. Two-way nesting in split-explicit ocean models: algorithms, implementation and validation. Ocean Modelling, 49-50: 1-21, https://doi.org/10.1016/j.ocemod.2012.03.003.
Demaria M, Sampson C R, Knaff J A et al. 2014. Is tropical cyclone intensity guidance improving? Bulletin of the American Meteorological Society, 95(3): 387-398, https://doi.org/10.1175/BAMS-D-12-00240.1.
Dudhia J. 1989. Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. Journal of the Atmospheric Sciences, 46(20): 3077-3107, https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2.
Emanuel K. 2017. Will global warming make hurricane forecasting more difficult? Bulletin of the American Meteorological Society, 98(3): 495-501, https://doi.org/10.1175/BAMS-D-16-0134.1.
Emanuel K A. 1999. Thermodynamic control of hurricane intensity. Nature, 401(6754): 665-669, https://doi.org/10.1038/44326.
Ge Z P, Dai Z J, Pang W H et al. 2017. LIDAR-based detection of the post-typhoon recovery of a meso-macrotidal beach in the Beibu Gulf, China. Marine Geology, 391: 127-143, https://doi.org/10.1016/j.margeo.2017.08.008.
Gronholz A, Gräwe U, Paul A et al. 2017. Investigating the effects of a summer storm on the North Sea stratification using a regional coupled ocean-atmosphere model. Ocean Dynamics, 67(2): 211-235, https://doi.org/10.1007/s10236-016-1023-2.
Guan S D, Zhao W, Huthnance J et al. 2014. Observed upper ocean response to typhoon Megi (2010) in the Northern South China Sea. Journal of Geophysical Research, 119(5):3134-3157, https://doi.org/10.1002/2013JC009661.
Hong S Y, Noh Y, Dudhia J. 2006. A new vertical diffusion package with an explicit treatment of entrainment processes. Monthly Weather Review, 134(9): 2318-2341, https://doi.org/10.1175/MWR3199.1.
Hormann V, Centurioni L R, Rainville L et al. 2014.Response of upper ocean currents to Typhoon Fanapi.Geophysical Research Letters, 41(11): 3995-4003, https://doi.org/10.1002/2014GL060317.
Jacob R, Larson J, Ong E. 2005. M×N Communication and parallel interpolation in community climate system model version 3 using the model coupling toolkit. The International Journal of High Performance Computing Applications, 19(3): 293-307, https://doi.org/10.1177/1094342005056116.
Kain J S. 2004. The Kain-Fritsch convective parameterization:an update. Journal of Applied Meteorology and Climatology, 43(1): 170-181, https://doi.org/10.1175/1520-0450(2004) 043<0170:TKCPAU>2.0.CO;2.
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, 119(7): 4474-4489, https://doi.org/10.1002/2013JC009785.
Laprise R. 1992. The Euler equations of motion with hydrostatic pressure as an independent variable. Monthly Weather Review, 120(1): 197-207, https://doi.org/10.1175/1520-0493(1992)120<0197:TEEOMW>2.0.CO;2.
Large W G, McWilliams J C, Doney S C. 1994. Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization. Reviews of Geophysics, 32(4): 363-403, https://doi.org/10.1029/94RG01872.
Larson J, Jacob R, Ong E. 2005. The model coupling toolkit:a new Fortran90 toolkit for building multiphysics parallel coupled models. The International Journal of High Performance Computing Applications, 19(3): 277-292, https://doi.org/10.1177/1094342005056115.
Liu J L, Cai S Q, Wang S G. 2011. Observations of strong near-bottom current after the passage of Typhoon Pabuk in the South China Sea. Journal of Marine Systems, 87(1):102-108, https://doi.org/10.1016/j.jmarsys.2011.02.023.
McWilliams J C, Restrepo J M, Lane E M et al. 2004. An asymptotic theory for the interaction of waves and currents in coastal waters. Journal of Fluid Mechanics, 511: 135-178, https://doi.org/10.1017/S0022112004009358.
Mei W, Lien C C, Lin I I et al. 2015. Tropical cycloneinduced ocean response: a comparative study of the South China Sea and tropical Northwest Pacific. Journal of Climate, 28(15): 5952-5968, https://doi.org/10.1175/JCLI-D-14-00651.1.
Mlawer E J, Taubman S J, Brown P D et al. 1997. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. Journal of Geophysical Research, 102(D14): 16663-16682, https://doi.org/10.1029/97JD00237.
Paulson C A. 1970. The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. Journal of Applied Meteorology and Climatology, 9(6): 857-861, https://doi.org/10.1175/1520-0450(1970)009<0857:TMROWS>2.0.CO;2.
Peduzzi P, Chatenoux B, Dao H et al. 2012. Global trends in tropical cyclone risk. Nature Climate Change, 2(4): 289-294, https://doi.org/10.1038/nclimate1410.
Penven P, Debreu L, Marchesiello P et al. 2006. Evaluation and application of the ROMS 1-way embedding procedure to the central California upwelling system. Ocean Modelling, 12(1-2): 157-187, https://doi.org/10.1016/j.ocemod.2005.05.002.
Pianezze J, Barthe C, Bielli S et al. 2018. A new coupled ocean-waves-atmosphere model designed for tropical storm studies: example of tropical cyclone Bejisa (2013-2014) in the South-West Indian Ocean. Journal of Advances in Modeling Earth Systems, 10(3): 801-825, https://doi.org/10.1002/2017MS001177.
Price J F. 1981. Upper ocean response to a hurricane. Journal of Physical Oceanography, 11(2): 153-175, https://doi.org/10.1175/1520-0485(1981)011<0153:UORTAH>2.0.CO;2.
Price J F. 1983. Internal wave wake of a moving storm. Part I. Scales, energy budget and observations. Journal of Physical Oceanography, 13(6): 949-965, https://doi.org/10.1175/1520-0485(1983)013<0949:IWWOAM>2.0.CO;2.
Rogers R, Aberson S, Black M et al. 2006. The intensity forecasting experiment: a NOAA multiyear field program for improving tropical cyclone intensity forecasts. Bulletin of the American Meteorological Society, 87(11): 1523-1538, https://doi.org/10.1175/BAMS-87-11-1523.
Salgado R, Soares P, Policarpo C et al. 2015. Summer Boundary Layer structure and circulations in the presence of a large man made lake. In: EGU General Assembly 2015. Vienna, EGU.
Shchepetkin A F, McWilliams J C. 1998. Quasi-monotone advection schemes based on explicit locally adaptive dissipation. Monthly Weather Review, 126(6): 1541-1580, https://doi.org/10.1175/1520-0493(1998)126<1541:QMAS BO>2.0.CO;2.
Shchepetkin A F, McWilliams J C. 2005. The regional oceanic modeling system (ROMS): a split-explicit, freesurface, topography-following-coordinate oceanic model.Ocean Modelling, 9(4): 347-404, https://doi.org/10.1016/j.ocemod.2004.08.002.
Sian K T C L K, Dong C M, Liu H L et al. 2020. Effects of model coupling on typhoon Kalmaegi (2014) simulation in the South China Sea. Atmosphere, 11(4): 432, https://doi.org/10.3390/atmos11040432.
Sun L, Zheng Q A, Tang T Y et al. 2012. Upper ocean nearinertial response to 1998 Typhoon Faith in the South China Sea. Acta Oceanologica Sinica, 31(2): 25-32, https://doi.org/10.1007/s13131-012-0189-9.
Uchiyama Y, McWilliams J C, Shchepetkin A F et al. 2010.Wave-current interaction in an oceanic circulation model with a vortex-force formalism: application to the surf zone. Ocean Modelling, 34(1-2): 16-35, https://doi.org/10.1016/j.ocemod.2010.04.002.
Voldoire A, Decharme B, Pianezze J et al. 2017. SURFEX v8. 0 interface with OASIS3-MCT to couple atmosphere with hydrology, ocean, waves and sea-ice models, from coastal to global scales. Geoscientific Model Development, 10(11): 4207-4227, https://doi.org/10.5194/gmd-10-4207-2017.
Weatherford C L, Gray W M. 1988. Typhoon structure as revealed by aircraft reconnaissance. Part I: data analysis and climatology. Monthly Weather Review, 116(5): 1032-1043, https://doi.org/10.1175/1520-0493(1988)116<1032:TSARBA>2.0.CO;2.
Wu R H, Zhang H, Chen D K et al. 2018. Impact of Typhoon Kalmaegi (2014) on the South China Sea: simulations using a fully coupled atmosphere-ocean-wave model.Ocean Modelling, 131: 132-151, https://doi.org/10.1016/j.ocemod.2018.08.004.
Wu R H, Zhang H, Chen D K. 2020. Effect of Typhoon Kalmaegi (2014) on northern South China Sea explored using Muti-platform satellite and Buoy observations data. Progress in Oceanography, 180: 102218, https://doi.org/10.1016/j.pocean.2019.102218.
Xu D, Li Z Y, Wan Z H et al. 2020. The oceanic responses to Typhoon Rananim on the East China Sea. Acta Oceanologica Sinica, 39(7): 69-78, https://doi.org/10.1007/s13131-020-1573-5.
Yang B, Hou Y J. 2014. Near-inertial waves in the wake of 2011 Typhoon Nesat in the northern South China Sea.Acta Oceanologica Sinica, 33(11): 102-111, https://doi.org/10.1007/s13131-014-0559-6.
Zheng J, Tian J W, Liang H. 2017. Observation of nearinertial internal waves on the continental slope in the northwestern South China Sea. Journal of Ocean University of China, 16(2): 184-190, https://doi.org/10.1007/s11802-017-3153-7.
Zhu T, Zhang D L. 2006. The Impact of the storm-induced SST cooling on hurricane intensity. Advances in Atmospheric Sciences, 23(1): 14-22, https://doi.org/10.1007/s00376-006-0002-9.
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