Numerical investigation of Typhoon Kai-tak (1213) using a mesoscale coupled WRF-ROMS model

Abstract The Typhoon Kai-tak that occurred in August 2012 produced strong winds, heavy rain, extreme wave, and storm surge, which also had a significant impact on the coastal areas of China and Vietnam. Studying the formation and tracking the movement mechanism of this typhoon will help reduce future coastal disasters, as well as have important scientific significance. The impact of a typhoon creates strong mass transport and energy exchange between the atmosphere and the ocean which produces a strong interaction between the wind field and the flow field. A coupled atmosphere-ocean model in the South China Sea was established based on the mesoscale atmospheric model WRF and the regional ocean model ROMS. Typhoon Kai-tak was simulated using this model. The simulation results show that the coupled WRF-ROMS model indicate high simulation accuracy with respect of storm surge in the South China Sea under the influence of Typhoon Kai-tak. The simulation results also reveal the temporal and spatial distribution of Typhoon Kai-tak's field, storm surge, and wind-induced flow fields. The spatial asymmetry and time lag in the spatial–temporal distribution of sea surface temperature during Typhoon Kai-tak have been discussed. The heat exchange at the air-sea interface was very strong under the influence of Typhoon Kai-tak, and the latent heat generated by water vapor evaporation plays a dominant role in the heat exchange at the air-sea interface, which shows that the heat carried by the vaporization of the sea surface is one of the important factors for the decrease of sea temperature under the influence of a typhoon.

[1]  Keqi Zhang,et al.  Transition of the Coastal and Estuarine Storm Tide Model to an Operational Storm Surge Forecast Model: A Case Study of the Florida Coast , 2013 .

[2]  René Laprise,et al.  The Euler Equations of Motion with Hydrostatic Pressure as an Independent Variable , 1992 .

[3]  D. Gill,et al.  Investigating the performance of coupled WRF-ROMS simulations of Hurricane Irene (2011) in a regional climate modeling framework , 2019, Atmospheric Research.

[4]  Chris H. Q. Ding,et al.  CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model , 2005, Int. J. High Perform. Comput. Appl..

[5]  John C. Warner,et al.  Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System , 2008, J. Comput. Phys..

[6]  Zhifeng Wang,et al.  Storm Surge along the Yellow River Delta under Directional Extreme Wind Conditions , 2017, Journal of Coastal Research.

[7]  John C. Warner,et al.  Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model , 2008, Comput. Geosci..

[8]  C. Mattocks,et al.  A real-time, event-triggered storm surge forecasting system for the state of North Carolina , 2008 .

[9]  Botao Xie,et al.  Typhoon disaster in China: prediction, prevention, and mitigation , 2009 .

[10]  Guangwei Liu,et al.  Development of a wave-current model through coupling of FVCOM and SWAN , 2018, Ocean Engineering.

[11]  Hongqing Wang,et al.  A numerical study of vegetation impact on reducing storm surge by wetlands in a semi-enclosed estuary , 2015 .

[12]  António M. Baptista,et al.  SELFE: A semi-implicit Eulerian–Lagrangian finite-element model for cross-scale ocean circulation , 2008 .

[13]  Tanvir Islam,et al.  Tracking a tropical cyclone through WRF–ARW simulation and sensitivity of model physics , 2015, Natural Hazards.

[14]  Jie Chen,et al.  Three-Dimensional Temperature Field Change in the South China Sea during Typhoon Kai-Tak (1213) Based on a Fully Coupled Atmosphere–Wave–Ocean Model , 2019, Water.

[15]  A. Gordon,et al.  Pacific western boundary currents and their roles in climate , 2015, Nature.

[16]  Lian Xie,et al.  A Coupled Atmosphere–Wave–Ocean Modeling System: Simulation of the Intensity of an Idealized Tropical Cyclone , 2011 .

[17]  Jinhai Zheng,et al.  The evolution characteristics of main waterways and their control mechanism in the radial sand ridges of the southern Yellow Sea , 2017, Acta Oceanologica Sinica.

[18]  On improving storm surge forecasting using an adjoint optimal technique , 2013 .

[19]  T. Shibayama,et al.  Track analysis, simulation, and field survey of the 2013 Typhoon Haiyan storm surge , 2017 .

[20]  P. Bedient,et al.  Characterizing hurricane storm surge behavior in Galveston Bay using the SWAN+ADCIRC model , 2014 .

[21]  J. Martinich,et al.  Joint effects of storm surge and sea-level rise on US Coasts: new economic estimates of impacts, adaptation, and benefits of mitigation policy , 2014, Climatic Change.

[22]  Tl Lee Neural network prediction of a storm surge , 2006 .

[23]  Woojeong Lee,et al.  Comparison of storm surge/tide predictions between a 2-D operational forecast system, the regional tide/storm surge model (RTSM), and the 3-D regional ocean modeling system (ROMS) , 2010 .

[24]  C. F. Ropelewski,et al.  The Interannual Variability in the Genesis Location of Tropical Cyclones in the Northwest Pacific , 2002 .

[25]  Robert H. Weisberg,et al.  Circulation of Tampa Bay driven by buoyancy, tides, and winds, as simulated using a finite volume coastal ocean model , 2006 .

[26]  A. Köhl,et al.  Ocean mixed layer depth: A subsurface proxy of ocean‐atmosphere variability , 2006 .

[27]  R. He,et al.  Development of a Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System , 2010 .

[28]  Yan Du,et al.  Indo-western Pacific ocean capacitor and coherent climate anomalies in post-ENSO summer: A review , 2016, Advances in Atmospheric Sciences.

[29]  Alan F. Blumberg,et al.  Street-Scale Modeling of Storm Surge Inundation along the New Jersey Hudson River Waterfront , 2015 .

[30]  Guihua Wang,et al.  Tropical cyclone genesis over the south China sea , 2007 .

[31]  N. Zhang,et al.  An integrated model for three-dimensional cohesive sediment transport in storm event and its application on Lianyungang Harbor, China , 2015, Ocean Dynamics.

[32]  U. C. Mohanty,et al.  Simulation of Storm Surges in the Bay of Bengal Using One-Way Coupling Between NMM-WRF and IITD Storm Surge Model , 2016 .

[33]  Changbo Jiang,et al.  Evaluation of numerical wave model for typhoon wave simulation in South China Sea , 2018, Water Science and Engineering.

[34]  M. Schulz,et al.  Investigating the effects of a summer storm on the North Sea stratification using a regional coupled ocean-atmosphere model , 2017, Ocean Dynamics.

[35]  Ruoying He,et al.  Investigation of hurricane Ivan using the coupled ocean–atmosphere–wave–sediment transport (COAWST) model , 2014, Ocean Dynamics.

[36]  C. Jelesnianski,et al.  SLOSH: Sea, Lake, and Overland Surges from Hurricanes , 1992 .

[37]  Chunyan Li,et al.  Nonlinear terms in storm surge predictions: Effect of tide and shelf geometry with case study from Hurricane Rita , 2010 .

[38]  Jun Wang,et al.  Effects of sea level rise, land subsidence, bathymetric change and typhoon tracks on storm flooding in the coastal areas of Shanghai. , 2018, The Science of the total environment.

[39]  Guihua Wang,et al.  Role of surface warming in the northward shift of tropical cyclone tracks over the South China Sea in November , 2017, Acta Oceanologica Sinica.

[40]  Effects of various combinations of boundary layer schemes and microphysics schemes on the track forecasts of tropical cyclones over the South China Sea , 2015, Natural Hazards.

[41]  P. Bhaskaran,et al.  Performance of WRF-ARW winds on computed storm surge using hydodynamic model for Phailin and Hudhud cyclones , 2017 .

[42]  Ningyu Liu,et al.  A gigantic jet observed over a MCS in middle latitude region: A gigantic jet observed over a MCS in middle latitude region , 2017 .

[43]  A. Blumberg,et al.  Verification of a Multimodel Storm Surge Ensemble around New York City and Long Island for the Cool Season , 2011 .

[44]  Ming Li,et al.  Hurricane‐induced storm surges, currents and destratification in a semi‐enclosed bay , 2006 .

[46]  X. Mei,et al.  LIDAR-based detection of the post-typhoon recovery of a meso-macro-tidal beach in the Beibu Gulf, China , 2017 .

[47]  Lian Xie,et al.  Incorporation of a Mass-Conserving Inundation Scheme into a Three Dimensional Storm Surge Model , 2004 .

[48]  Y. Peter Sheng,et al.  Simulation of storm surge, wave, currents, and inundation in the Outer Banks and Chesapeake Bay during Hurricane Isabel in 2003: The importance of waves , 2010 .

[49]  Craig Mattocks,et al.  Predicting the Storm Surge Threat of Hurricane Sandy with the National Weather Service SLOSH Model , 2014 .

[50]  Wenrui Huang,et al.  Effects of sea level rise and typhoon intensity on storm surge and waves in Pearl River Estuary , 2017 .

[51]  Sooyoul Kim,et al.  Local amplification of storm surge by Super Typhoon Haiyan in Leyte Gulf , 2014, Geophysical research letters.

[52]  S. Darby,et al.  Modulation of Extreme Flood Levels by Impoundment Significantly Offset by Floodplain Loss Downstream of the Three Gorges Dam , 2018 .

[53]  Tiejun Ling,et al.  Numerical simulation of Typhoon Muifa (2011) using a Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system , 2015, Journal of Ocean University of China.

[54]  Changbo Jiang,et al.  An available formula of the sandy beach state induced by plunging waves , 2017, Acta Oceanologica Sinica.

[55]  Jun A. Zhang,et al.  Air-sea exchange in hurricanes : Synthesis of observations from the coupled boundary layer air-sea transfer experiment , 2007 .