Natural Hazards

, Volume 92, Issue 1, pp 93–112 | Cite as

An improved cyclonic wind distribution for computation of storm surges

Original Paper
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Abstract

The rise of total water levels at the coast is caused primarily by three factors that encompass storm surges, tides and wind waves. The accuracy of total water elevation (TWE) forecast depends not only on the cyclonic track and its intensity, but also on the spatial distribution of winds which include its speed and direction. In the present study, the cyclonic winds are validated using buoy winds for the recent cyclones formed in the Bay of Bengal since 2010 using Jelesnianski wind scheme. It is found that the cyclonic winds computed from the scheme show an underestimate in the magnitude and also a mismatch in its direction. Hence, the wind scheme is suitably modified based on the buoy observations available at different locations using a power law which reduces the exponential decay of winds by about 30%. Moreover, the cyclonic wind direction is also corrected by suitably modifying its inflow angle. The significance of modified exponential factor and inflow angle in the computation cyclonic winds is highlighted using statistical analysis. A hydrodynamic finite element-based Advanced Circulation 2D depth integrated (ADCIRC-2DDI) model is used here to compute TWE as a response to combined effect of cyclonic winds and astronomical tides. As contribution of wave setup plays an important role near the coast, a coupled ADCIRC + SWAN is used to perceive the contribution of wind waves on the TWE. The experiments are performed to validate computed surge residuals with available tide gauge data. On comparison of observed surge residuals with the simulations using modified winds from the uncoupled and coupled models, it is found that the simulated surge residuals are better compared, especially with the inclusion of wave effect through the coupled model.

Keywords

Bay of Bengal Total water elevations Surge residual Tides Cyclonic winds 

Notes

Acknowledgements

The authors are thankful to Indian National Centre for Ocean Information Service (INCOIS) for granting financial support to carry out this study also for providing buoy wind and tide gauge data. The authors also thank Indian Institute of Technology Delhi HPC facility for computational resources.

References

  1. Bhaskaran PK, Nayak S, Bonthu SR, Murty PN, Sen D (2013) Performance and validation of a coupled parallel ADCIRC–SWAN model for THANE cyclone in the Bay of Bengal. Environ Fluid Mech 13(6):601–623CrossRefGoogle Scholar
  2. Booij NRRC, Ris RC, Holthuijsen LH (1999) A third-generation wave model for coastal regions: 1. Model description and validation. J Geophys Res Oceans 104(C4):7649–7666CrossRefGoogle Scholar
  3. Dietrich JC, Zijlema M, Westerink JJ, Holthuijsen LH, Dawson C, Luettich RA Jr, Stone GW (2011) Modeling hurricane waves and storm surge using integrally-coupled, scalable computations. Coast Eng 58(1):45–65CrossRefGoogle Scholar
  4. Dietrich JC, Tanaka S, Westerink JJ, Dawson CN, Luettich RA Jr, Zijlema M, Westerink HJ (2012) Performance of the unstructured-mesh, SWAN + ADCIRC model in computing hurricane waves and surge. J Sci Comput 52(2):468–497CrossRefGoogle Scholar
  5. Haltiner GJ, Martin FL (1957) Dynamical and physical meteorology. McGraw Hill Book, New York, p 470Google Scholar
  6. Holland GJ (1980) An analytic model of the wind and pressure profiles in hurricanes. Mon Weather Rev 108:1212–1218CrossRefGoogle Scholar
  7. Jain I, Rao AD, Ramesh KJ (2010) Vulnerability assessment at village level due to tides, surges and wave setup. Mar Geod 33(2–3):245–260CrossRefGoogle Scholar
  8. Jarvis A, Reuter HI, Nelson A, Guevara E (2008) Hole-filled seamless SRTM data V4. International Centre for Tropical Agriculture (CIAT). Available from http://srtm.csi.cgiar.org
  9. Jelesnianski CP (1966) Numerical computations of storm surges without bottom stress. Mon Weather Rev 94:379–394CrossRefGoogle Scholar
  10. Jelesnianski CP, Taylor AD (1973) NOAA Technical Memorandum, ERL WMPO-3, pp 33Google Scholar
  11. Johns B, Sinha PC, Dube SK, Mohanty UC, Rao AD (1983) On the effect of bathymetry in numerical storm surge simulation experiments. Comput Fluids 11(3):161–174CrossRefGoogle Scholar
  12. Le Provost C, Lyard F, Molines JM, Genco ML, Rabilloud F (1998) A hydrodynamic ocean tide model improved by assimilating a satellite altimeter-derived data set. J Geophys Res Oceans 103(C3):5513–5529CrossRefGoogle Scholar
  13. Luettich Jr RA, Westerink JJ, Scheffner NW (1992) ADCIRC: an advanced three dimensional circulation model for shelves coasts and estuaries, report 1: theory and methodology of ADCIRC-2DDI and ADCIRC-3DL. Dredging Research Program Technical Report DRP-92-6 US. Army Engineers Waterways Experiment Station, Vicksburg, MS, USA, pp 137Google Scholar
  14. Murty PLN, Sandhya KG, Bhaskaran PK, Jose F, Gayathri R, Nair TB, Shenoi SSC (2014) A coupled hydrodynamic modeling system for PHAILIN cyclone in the Bay of Bengal. Coast Eng 93:71–81CrossRefGoogle Scholar
  15. Myers VA, Malkin W (1961) Some properties of hurricane wind fields as deduced from trajectories. National Hurricane Research Report No. 49, US Weather Bureau, Washington DC, pp 45Google Scholar
  16. Rao AD, Jain I, Venkatesan RN (2010) Estimation of extreme water levels due to cyclonic storms: a case study for Kalpakkam coast. Int J Ocean Clim Syst 1(1):1–14CrossRefGoogle Scholar
  17. Rao AD, Murty PLN, Jain I, Kankara RS, Dube SK, Murty TS (2013) Simulation of water levels and extent of coastal inundation due to a cyclonic storm along the east coast of India. Nat Hazards 66(3):1431–1441CrossRefGoogle Scholar
  18. Ueno T (1981) Numerical computations of the storm surges in Tosa Bay. J Oceanogr 37(2):61–73Google Scholar
  19. Venkatesan R, Shamji VR, Latha G, Mathew S, Rao RR, Muthiah A, Atmanand MA (2013) In situ ocean subsurface time-series measurements from OMNI buoy network in the Bay of Bengal. Curr Sci 10:1166–1177Google Scholar
  20. Westerink JJ, Blain CA, Luettich Jr RA, Scheffner NW (1994) ADCIRC: an advanced three dimensional circulation model for shelves coasts and estuaries, report 2: user’s manual for ADCIRC-2DDI. Dredging Research Program Technical Report DRP-92-6, US Army Engineers Waterways Experiment Station, Vicksburg, MS USA, pp 156Google Scholar

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© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Centre for Atmospheric SciencesIndian Institute of Technology DelhiNew DelhiIndia

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