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A coupled model analyses on the interaction between oceanic eddies and tropical cyclones over the Bay of Bengal

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The Bay of Bengal (BOB) region of Indian Ocean is affected by numerous tropical cyclones during pre- and post-monsoon seasons when various eddies are generated in the central and western bay. Here, numerical simulations of few tropical cyclones (Aila, Laila, Phailin, Hudhud and Madi) that occurred in different seasons are carried out using an ocean atmosphere coupled numerical model, consisting of Weather Research and Forecasting (WRF) and Regional Ocean Modeling Systems (ROMS), to analyse the influence of eddies on tropical cyclone intensifications over the bay. The model is able to track the tropical cyclones with less error, while the central pressure and wind speed are underestimated. Also, the coupling process steer the cyclones to the observed track compared to standalone WRF model. The variations in simulated sea surface temperature and salinity are in agreement with the satellite and in situ measurements. During the passage of Phailin and Hudhud over the eddies, the cyclones intensified almost twice of their initial central pressure and wind (before interacting with eddies), which the model captured very well. The eddy feedback factor, which estimate the influence of warm eddies on tropical cyclones, is about 152% for Phailin and 90% for Hudhud. In the case of the pre-monsoon cyclones, Aila and Laila, the eddy feedback factor is estimated up to 36% and 21%, respectively. Madi cyclone lost its intensification up to 80% because of its interaction with a cold eddy. These predictions are comparable with that of the observations during the cyclone passage. Also it is noted that the warm eddy regions resulted in the maximum transfer of latent heat resulting in strong intensifications of the cyclones. Our study reveals that the eddies play an important role in the intensification and dissipation of BOB cyclones and understanding their nature can help in estimating the track and intensity of cyclones.

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  • Alam MM, Hossain MA and Shafee S (2003), Frequency of Bay of Bengal cyclonic storms and depressions crossing different coastal zones. Int J Climatol, 23: 1119-1125.

    Article  Google Scholar 

  • Ali MM, Jagadeesh PSV, Jain S (2007) Effect of eddies on Bay of Bengal cyclone intensity Eos Trans AGU:88(8).

  • Ali MM, Kashyap T, Nagamani PV (2013) Use of sea surface temperature for cyclone intensity prediction needs a relook. Eos, Transactions American Geophysical Union 94(19):177–177

    Article  Google Scholar 

  • Anandh TS, Das BK, Kumar B, Kuttippurath J, Chakraborty A (2018) Analyses of the oceanic heat content during 1980–2014 and satellite-era cyclones over Bay of Bengal. Int J Climatol 38:5619–5632.

    Article  Google Scholar 

  • Ananthakrishnan R, Pathan JM, Aralikatti SS (1981) On the northward advance of the ITCZ and the onset of the southwest monsoon rains over the southeast Bay of Bengal. J Climatol 1(2):153–165

    Article  Google Scholar 

  • Balaguru K, Chang P, Saravanan R, Leung LR, Xu Z, Li M, Hsieh JS (2012) Ocean barrier layers effect on tropical cyclone intensification. Proc Natl Acad Sci 109(36):14,343–14,347

    Article  Google Scholar 

  • Bender MA, Ginis I (2000) Real-case simulations of hurricane– ocean interaction using a high-resolution coupled model: effects on hurricane intensity. Mon weather rev 128:917–946.

  • Bhatla R, Raj R, Singh M (2018) Climatology of recurvature of tropical cyclone over Bay of Bengal and Arabian Sea. MAUSAM 69(3):437–442

    Google Scholar 

  • Bosart LF, Bracken WE, Molinari J, Velden CS, Black PG (2000) Environmental influences on the rapid intensification of hurricane opal (1995) over the Gulf of Mexico. Mon Wea Rev, 128, 322–352, (2000)128<0322:EIOTRI>2.0.CO;2

  • Chan JC, Duan Y, Shay LK (2001) Tropical cyclone intensity change from a simple ocean–atmosphere coupled model. J Atmos Sci, 58, 154–172, (2001)058<0154:TCICFA>2.0.CO;2

  • Chen T, S. Weng 1999 Interannual and Intraseasonal variations in monsoon depressions and their westward-propagating predecessors. Mon. Wea. Rev., 127, 1005–1020, (1999)127<1005:IAIVIM>2.0.CO;2

  • Dandapat S, Chakraborty A (2016) Mesoscale eddies in the Western Bay of Bengal as observed from satellite altimetry in 1993–2014: statistical characteristics, variability and three-dimensional properties. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9(11):5044–5054

    Article  Google Scholar 

  • Das BK, Anandh TS, Kuttippurath J, Chakraborty A (2019) Characteristics of the discontinuity of western boundary current in the Bay of Bengal. Oceans, J. Geophys. Res, p 124.

    Book  Google Scholar 

  • Emanuel K, DesAutels C, Holloway C, Korty R (2004) Environmental control of tropical cyclone intensity. J Atmos Sci 61:843–858

    Article  Google Scholar 

  • Frank WM, Ritchie E (2001) Effects of vertical wind shear on the intensity and structure of numerically simulated hurricanes. Mon Wea Rev 129:2249–2269

    Article  Google Scholar 

  • Girishkumar MS, Ravichandran M (2012) The influences of ENSO on tropical cyclone activity in the Bay of Bengal during October–December. J Geophys Res 117:C02033.

    Article  Google Scholar 

  • Girishkumar MS, Ravichandran M, Han W (2013) Observed intraseasonal thermocline variability in the bay of Bengal. Journal of Geophysical Research: Oceans 118(7):3336–3349

    Google Scholar 

  • Goni GJ, Trinanes JA (2003) Ocean thermal structure monitoring could aid in the intensity forecast of tropical cyclones, Eos trans. AGU 84(51).

    Article  Google Scholar 

  • Haidvogel DB, Arango HG, Hedstrom K, Beckmann A, Malanotte-Rizzoli P, Shchepetkin AF (2000) Model evaluation experiments in the North Atlantic Basin: simulations in nonlinear terrain-following coordinates. Dynamics of atmospheres and oceans 32(3–4):239–281

    Article  Google Scholar 

  • IMD (2016) Tracks of Cyclones and Depressions (1990–2015), Electronic Version 2.0/2016. IMD, Chennai

    Google Scholar 

  • Jana S, Gangopadhyay A, Chakraborty A (2015) Impact of seasonal river input on the Bay of Bengal simulation. Cont Shelf Res 104:45–62.

    Article  Google Scholar 

  • JPL MUR MEaSUREs Project (2010) GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [2018-01-05] at

  • Kaplan J, DeMaria M, Knaff JA (2010) A revised tropical cyclone rapid intensification index for the Atlantic and eastern North Pacific basins. Weather Forecast 25(1):220–241

    Article  Google Scholar 

  • Li D-Y, Huang C-Y (2019) The influences of ocean on intensity of typhoon Soudelor (2015) as revealed by coupled modeling. Atmos Sci Lett 20:e871.

    Article  Google Scholar 

  • Lin II, Wu CC, Emanuel KA, Lee IH, Wu CR, Pun IF (2005) The interaction of super typhoon Maemi (2003) with a warm ocean eddy. Mon Wea Rev 133:2635–2649

    Article  Google Scholar 

  • Lin II, Chen CH, Pun IF, Liu WT, Wu CC (2009) Warm ocean anomaly, air sea fluxes and the rapid intensification of tropical cyclone Nargis, 2008. Geophys Res Lett 36:LO3817

    Google Scholar 

  • Ma Z, Fei J, Huang X, Cheng X (2018) Modulating effects of mesoscale oceanic eddies on sea surface temperature response to tropical cyclones over the western North Pacific. J. Geophys. Res, Atmospheres, pp 123,367–123,379.

    Book  Google Scholar 

  • McPhaden MJ, Meyers G, Ando K, Masumoto Y, Murty VSN, Ravichandran M, SyamsudinF VJ, Yu L, Yu W (2009) RAMA: The Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction. Bull Am Meteorol Soc 90:459–480

    Article  Google Scholar 

  • Menemenlis D, Campin JM, Heimbach P, Hill C, Lee T, Nguyen A, Schodlok M, Zhang H (2008) ECCO2: high resolution global ocean and sea ice data synthesis, Mercator Ocean Quarterly Newsletter, No. 31. Mercator Ocean, Ramonville Saint-Agne, France, pp 13–21

    Google Scholar 

  • Molinari J, Vollaro D (1989) External influences on hurricane intensity. Part I: Outflow layer eddy angular momentum fluxes J Atmos Sci 46:1093–1105

    Google Scholar 

  • Molinari J, Vollaro D (1990) External influences on hurricane intensity. Part II: Vertical structure and response of the hurricane vortex J Atmos Sci 47:1902–1918

    Google Scholar 

  • Molinari J, Vollaro D (1995) External influences on hurricane intensity. Part III: Potential vorticity structure J Atmos Sci 52:3593–3606

    Google Scholar 

  • National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research data archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory Accessed on 25thOct 2017

  • Ning J, Xu Q, Zhang H, Wang T, Fan K (2019) Impact of Cyclonic Ocean Eddies on Upper Ocean Thermodynamic Response to Typhoon Soudelor. Remote Sensing 11(8):–938

    Article  Google Scholar 

  • Rao RR, Sivakumar R (2003) Seasonal variability of sea surface salinity and salt budget of the mixed layer of the North Indian Ocean. Journal of Geophysical Research: Oceans 108(C1):9–1

    Article  Google Scholar 

  • Riehl H (1950) A model of hurricane formation. J Appl Phys 21(9):917–925

    Article  Google Scholar 

  • Sadhuram Y, Maneesha K, Murty TR (2012) Intensification of Aila (May 2009) due to a warm core eddy in the North Bay of Bengal. Nat Hazards 63(3):1515–1525

    Article  Google Scholar 

  • Schade LR, Emanuel KA (1999) The ocean’s effect on the intensity of tropical cyclones: results from a simple coupled atmosphere-ocean model. J Atmos Sci 56(4):642–651.

    Article  Google Scholar 

  • Scharroo R, Smith WHF, Lillibridge JL (2005) Satellite altimetry and the intensification of hurricane Katrina. Eos, trans. Amer. Geophys. Union 86:366–367

    Google Scholar 

  • Shay LK, Goni GJ, Black PG (2000) Effects of a warm oceanic feature on hurricane opal. Mon Weather Rev 128:1366–1383

    Article  Google Scholar 

  • Shchepetkin AF, McWilliams JC (2005) The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model. Ocean Model 9(4):347–404.

    Article  Google Scholar 

  • Shenoi SSC, Shankar D, Shetye SR (2002) Differences in heat budgets of the near-surface Arabian Sea and Bay of Bengal: implications for the summer monsoon. Journal of Geophysical Research: Oceans 107(C6).

  • Song Y, Haidvogel D (1994) A semi-implicit ocean circulation model using a generalized topography-following coordinate system. J Comput Phys 115(1):228–244

    Article  Google Scholar 

  • Tada H, Uchiyama Y, Masunaga E (2018) Impacts of two super typhoons on the Kuroshio and marginal seas on the Pacific coast of Japan. Deep-Sea Res I Oceanogr Res Pap 132:80–93

    Article  Google Scholar 

  • Thadathil P, Muraleedharan PM, Rao RR, Somayajulu YK, Reddy GV, Revichandran C (2007) Observed seasonal variability of barrier layer in the bay of Bengal. Journal of Geophysical Research: Oceans 112(C2)

  • Warner JC, Armstrong B, He R, Zambon JB (2010) Development of a coupled ocean–atmosphere– wave–sediment transport (COAWST) modeling system. Ocean Model 35(3):230–244.

    Article  Google Scholar 

  • Wang G, Zhao B, Qiao F, Zhao C (2018) Rapid intensification of super typhoon Haiyan: the important role of a warm-core ocean eddy. Ocean Dyn 68(12):1649–1661

    Article  Google Scholar 

  • Wu C, Lee C, Lin I (2007) The effect of the ocean Eddy on tropical cyclone intensity. J Atmos Sci 64:3562–3578.

    Article  Google Scholar 

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We are thankful to Indian Institute of Technology Kharagpur for facilitating the study. The corresponding author appreciates the support from the Ministry of Earth Sciences, Ministry of Human Resource and Development, Department of Science and Technology, Government of India. The figures are generated using MATLAB.


This work is funded by Ministry of Human Resource Development, Government of India.

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Correspondence to Thanka Swamy Anandh.

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Anandh, T.S., Das, B.K., Kuttippurath, J. et al. A coupled model analyses on the interaction between oceanic eddies and tropical cyclones over the Bay of Bengal. Ocean Dynamics 70, 327–337 (2020).

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