Theoretical and Applied Climatology

, Volume 136, Issue 1–2, pp 45–53 | Cite as

Estimation of size of tropical cyclones in the North Indian Ocean using Oceansat-2 scatterometer high-resolution wind products

  • Neeru JaiswalEmail author
  • Doan Thi Thu Ha
  • C. M. Kishtawal
Original Paper


Tropical cyclone (TC) is one of the most intense weather hazards, especially for the coastal regions, as it causes huge devastation through gale winds and torrential floods during landfall. Thus, accurate prediction of TC is of great importance to reduce the loss of life and damage to property. Most of the cyclone track prediction model requires size of TC as an important parameter in order to simulate the vortex. TC size is also required in the impact assessment of TC affected regions. In the present work, the size of TCs formed in the North Indian Ocean (NIO) has been estimated using the high resolution surface wind observations from oceansat-2 scatterometer. The estimated sizes of cyclones were compared to the radius of outermost closed isobar (ROCI) values provided by Joint Typhoon warning Center (JTWC) by plotting their histograms and computing the correlation and mean absolute error (MAE). The correlation and MAE between the OSCAT wind based TC size estimation and JTWC-ROCI values was found 0.69 and 33 km, respectively. The results show that the sizes of cyclones estimated by OSCAT winds are in close agreement to the JTWC-ROCI. The ROCI values of JTWC were analyzed to study the variations in the size of tropical cyclones in NIO during different time of the diurnal cycle and intensity stages.



The authors are thankful to the Director, Space Applications Centre (ISRO),  Ahmedabad and the Deputy Director of EPSA, SAC-ISRO. The authors are also thankful for the guidance provided by Dr. Rajesh Sikhakolli, scientist in SAC-ISRO. The authors acknowledge the India Meteorological Department and Joint Typhoon Warning Center for providing the best track records of tropical cyclones. Acknowledgement goes to the JPL/PODAAC ( and SAC/ISRO ( for providing the high-resolution wind products of Oceansat-2 scatterometer. Authors pay their sincere thanks to the reviewers for their valuable suggestions.


  1. Ahrens CD (1998) Essentials of meteorology: invitation to the atmosphere, 2nd edn. Wadsworth Publishing, BelmontGoogle Scholar
  2. Anthes RA (1981) Tropical cyclones: structure, computer simulation models, and operational procedure. Contemp Phys 22:643–680CrossRefGoogle Scholar
  3. Arakawa H (1952) Mame Taifu or midget typhoon (small storms of typhoon intensity). Geophys Mag 24:463–474Google Scholar
  4. Bessho K, DeMaria M, Knaff JA (2006) Tropical cyclone wind retrievals from the advanced microwave sounding unit: application to surface wind analysis. Am Meteorol Soc:399–415Google Scholar
  5. Brand S (1972) Very large and very small typhoons of the western North Pacific Ocean. J Meteor Soc Japan 50:332–341CrossRefGoogle Scholar
  6. Brunt AT (1969) Low latitude cyclones. Aust Meteor Mag 17:67–90Google Scholar
  7. Chan JCL, Yip CKM (2003) Interannual variations of tropical cyclone size over the western North Pacific. Geophys Res Lett 30(24):2267.
  8. Chan KTF, Chan JCL (2012) Size and strength of tropical cyclones as inferred from QuikSCAT data. Mon. Wea. Rev. 140:811–824CrossRefGoogle Scholar
  9. Chan KTF, Chan JCL (2014) Impacts of initial vortex size and planetary vorticity on tropical cyclone size. Q J R Meteorol Soc 140:2235–2248. CrossRefGoogle Scholar
  10. Chavas DR, Emanuel KA (2010) A QuikSCAT climatology of tropical cyclone size. Geophys Res Lett 37:L18816. CrossRefGoogle Scholar
  11. Cocks SB, Gray WM (2002) Variability of the outer wind profiles of western North Pacific typhoons: classifications and techniques for analysis and forecasting. Mon Wea Rev 130:1989–2005CrossRefGoogle Scholar
  12. Dean L, Emanuel KA, Chavas DR (2009) On the size distribution of Atlantic tropical cyclones. Geophys Res Lett 36:L14803. CrossRefGoogle Scholar
  13. Demuth JL, DeMaria M, Knaff JA (2006) Improvement of advanced microwave sounding unit tropical cyclone intensity and size estimation algorithms. J Appl Meteor Climatol 45:1573–1581CrossRefGoogle Scholar
  14. Harr PA, Kalafsky MS, Elsberry RL (1996) Environmental conditions prior to formation of a midget tropical cyclone during TCM-93. Mon Wea Rev 124:1693–1710CrossRefGoogle Scholar
  15. Hoffman RN, Leidner SM, Henderson JM, Atlas R, Ardizzone JV Bloom SC (2003) A two dimensional variational analysis method for NSCAT ambiguity removal: methodology, sensitivity, and tuning. J Atmos Ocean Technol 20:585–605CrossRefGoogle Scholar
  16. Holland GJ (1980) An analytical model of the wind and pressure profiles in hurricanes. Mon Wea Rev 108:1212–1218CrossRefGoogle Scholar
  17. Houston SH, Shaffer WA, Powell MD, Chen J (1999) Comparisons of HRD and SLOSH surface wind fields in hurricanes: implications for storm surge and wave modeling. Weather Forecast 14:671–686CrossRefGoogle Scholar
  18. Irish JL, Resio DT, Ratcliff JJ (2008) The influence of storm size on hurricane surge. J Phys Oceanogr 38:2003–2013CrossRefGoogle Scholar
  19. Jaiswal N, Kishtawal CM, Pal PK (2012) Cyclone intensity estimation using similarity of satellite IR images based on histogram matching approach. Atmos Res 118:215–221CrossRefGoogle Scholar
  20. Kimball SK, Mulekar MS (2004) A 15-year climatology of North Atlantic tropical cyclones. Part I: Size parameters. J Clim 17:3555–3575CrossRefGoogle Scholar
  21. Knaff JA, Sampson CR, DeMaria M, Marchok TP, Gross JM, McAdie CJ (2007) Statistical tropical cyclone wind radii prediction using climatology and persistence. Weather Forecast 22:781–791CrossRefGoogle Scholar
  22. Knaff JA, Longmore SP, Molenar DA (2014) An objective satellite-based tropical cyclone size climatology. J Clim 27:455–476CrossRefGoogle Scholar
  23. Kossin JP, Knaff JA, Berger HI, Herndon DC, Cram TA, Velden CS, Murnane RJ, Hawkins JD (2007) Estimating hurricane wind structure in the absence of aircraft reconnaissance. Weather Forecast 22:89–101CrossRefGoogle Scholar
  24. Lee CS, Fang WT, Elsberry RL (2010) Initial maintenance of tropical cyclone size in the western North Pacific. Mon Weather Rev 138:3207–3223CrossRefGoogle Scholar
  25. Liu KS, Chan JCL (1999) Size of tropical cyclones as inferred from ERS-1 and ERS-2 data. Mon Weather Rev 127:2992–3001CrossRefGoogle Scholar
  26. Merrill RT (1984) A comparison of large and small tropical cyclones. Mon Weather Rev 112:1408–1418CrossRefGoogle Scholar
  27. Miller A, Anthes RA (1985) Meteorology. Merrill Publishing, ColumbusGoogle Scholar
  28. Mueller KJ, DeMaria J, Knaff JA, Kossin JP, Vonder Haar TZ (2006) Objective estimation of tropical cyclone wind structure from infrared satellite data. Weather Forecast 21:990–1005CrossRefGoogle Scholar
  29. Polito PS, Ryan JP, Liu WT Chavez FP (2001) Oceanic and atmospheric anomalies of tropical instability waves. Geophys Res Lett 28:2233–2236CrossRefGoogle Scholar
  30. Powell MD, Reinhold TA (2007) Tropical cyclone destructive potential by integrated kinetic energy. BAMS 88:513–526CrossRefGoogle Scholar
  31. Quilfen Y, Chapron B, Elfouhaily T, Katsaros K, Tournadre J (1998) Observation of tropical cyclones by high-resoluion scatterometry. J Geophys Res 103(C4):7767–7786CrossRefGoogle Scholar
  32. Roy C, Kovordányi R (2012) Tropical cyclone track forecasting techniques―a review. Atmos Res 104–105:40–69CrossRefGoogle Scholar
  33. Scott WR, Schröeder CT Jr, Martin JS (1998) An acousto-electromagnetic sensor for locating land mines. Proc SPIE Int Soc Opt Eng 3392:176–186Google Scholar
  34. Sharp RJ, Bourassa MA, O’Brien JJ (2002) Early detection of tropical cyclones using SeaWinds-derived vorticity. Bull Am Meteorol Soc 83:879–889CrossRefGoogle Scholar
  35. Velden CS, Olander TL, Zehr RM (1998) Development of an objective scheme to estimate tropical cyclone intensity from digital geostationary satellite infrared imagery. Weather Forecast 13:172–186CrossRefGoogle Scholar
  36. Weatherford CL, Gray WM (1988) Typhoon structure as revealed by aircraft reconnaissance. Part I: data analysis and climatology. Mon Weather Rev 116:1032–1043CrossRefGoogle Scholar
  37. Zahibo N, Pelinovsky E, Talipova T, Rabinovich A, Kurkin A, Nikolkina I (2007) Statistical analysis of cyclone hazard for Guadeloupe, Lesser Antilles. Atmos Res 84(1):13–29CrossRefGoogle Scholar
  38. Zehr RM (1989) Improving objerctive satellite estimates of tropical cyclone intensity. Preprints, 18th Conf. on hurricanes and tropical meteorology. San Diego, CA, Amer. Meteor. Soc., J25–J28Google Scholar

Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  • Neeru Jaiswal
    • 1
    Email author
  • Doan Thi Thu Ha
    • 2
  • C. M. Kishtawal
    • 1
  1. 1.Atmospheric Sciences Division, AOSG, EPSASpace Applications Centre (ISRO)AhmedabadIndia
  2. 2.Institute of Meteorology, Hydrology and Climate ChangeHanoiVietnam

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