Abstract
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.
Similar content being viewed by others
References
Ahrens CD (1998) Essentials of meteorology: invitation to the atmosphere, 2nd edn. Wadsworth Publishing, Belmont
Anthes RA (1981) Tropical cyclones: structure, computer simulation models, and operational procedure. Contemp Phys 22:643–680
Arakawa H (1952) Mame Taifu or midget typhoon (small storms of typhoon intensity). Geophys Mag 24:463–474
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:399–415
Brand S (1972) Very large and very small typhoons of the western North Pacific Ocean. J Meteor Soc Japan 50:332–341
Brunt AT (1969) Low latitude cyclones. Aust Meteor Mag 17:67–90
Chan JCL, Yip CKM (2003) Interannual variations of tropical cyclone size over the western North Pacific. Geophys Res Lett 30(24):2267. https://doi.org/10.1029/2003GL018522
Chan KTF, Chan JCL (2012) Size and strength of tropical cyclones as inferred from QuikSCAT data. Mon. Wea. Rev. 140:811–824
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. https://doi.org/10.1002/qj.2292
Chavas DR, Emanuel KA (2010) A QuikSCAT climatology of tropical cyclone size. Geophys Res Lett 37:L18816. https://doi.org/10.1029/2010
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 130:1989–2005
Dean L, Emanuel KA, Chavas DR (2009) On the size distribution of Atlantic tropical cyclones. Geophys Res Lett 36:L14803. https://doi.org/10.1029/2009
Demuth JL, DeMaria M, Knaff JA (2006) Improvement of advanced microwave sounding unit tropical cyclone intensity and size estimation algorithms. J Appl Meteor Climatol 45:1573–1581
Harr PA, Kalafsky MS, Elsberry RL (1996) Environmental conditions prior to formation of a midget tropical cyclone during TCM-93. Mon Wea Rev 124:1693–1710
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 20:585–605
Holland GJ (1980) An analytical model of the wind and pressure profiles in hurricanes. Mon Wea Rev 108:1212–1218
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 14:671–686
Irish JL, Resio DT, Ratcliff JJ (2008) The influence of storm size on hurricane surge. J Phys Oceanogr 38:2003–2013
Jaiswal N, Kishtawal CM, Pal PK (2012) Cyclone intensity estimation using similarity of satellite IR images based on histogram matching approach. Atmos Res 118:215–221
Kimball SK, Mulekar MS (2004) A 15-year climatology of North Atlantic tropical cyclones. Part I: Size parameters. J Clim 17:3555–3575
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 22:781–791
Knaff JA, Longmore SP, Molenar DA (2014) An objective satellite-based tropical cyclone size climatology. J Clim 27:455–476
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 22:89–101
Lee CS, Fang WT, Elsberry RL (2010) Initial maintenance of tropical cyclone size in the western North Pacific. Mon Weather Rev 138:3207–3223
Liu KS, Chan JCL (1999) Size of tropical cyclones as inferred from ERS-1 and ERS-2 data. Mon Weather Rev 127:2992–3001
Merrill RT (1984) A comparison of large and small tropical cyclones. Mon Weather Rev 112:1408–1418
Miller A, Anthes RA (1985) Meteorology. Merrill Publishing, Columbus
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 21:990–1005
Polito PS, Ryan JP, Liu WT Chavez FP (2001) Oceanic and atmospheric anomalies of tropical instability waves. Geophys Res Lett 28:2233–2236
Powell MD, Reinhold TA (2007) Tropical cyclone destructive potential by integrated kinetic energy. BAMS 88:513–526
Quilfen Y, Chapron B, Elfouhaily T, Katsaros K, Tournadre J (1998) Observation of tropical cyclones by high-resoluion scatterometry. J Geophys Res 103(C4):7767–7786
Roy C, Kovordányi R (2012) Tropical cyclone track forecasting techniques―a review. Atmos Res 104–105:40–69
Scott WR, Schröeder CT Jr, Martin JS (1998) An acousto-electromagnetic sensor for locating land mines. Proc SPIE Int Soc Opt Eng 3392:176–186
Sharp RJ, Bourassa MA, O’Brien JJ (2002) Early detection of tropical cyclones using SeaWinds-derived vorticity. Bull Am Meteorol Soc 83:879–889
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 13:172–186
Weatherford CL, Gray WM (1988) Typhoon structure as revealed by aircraft reconnaissance. Part I: data analysis and climatology. Mon Weather Rev 116:1032–1043
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):13–29
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–J28
Acknowledgements
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 (https://www.podaac.jpl.nasa.gov) and SAC/ISRO (www.mosdac.gov.in) for providing the high-resolution wind products of Oceansat-2 scatterometer. Authors pay their sincere thanks to the reviewers for their valuable suggestions.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jaiswal, N., Ha, D.T.T. & Kishtawal, C.M. Estimation of size of tropical cyclones in the North Indian Ocean using Oceansat-2 scatterometer high-resolution wind products. Theor Appl Climatol 136, 45–53 (2019). https://doi.org/10.1007/s00704-018-2464-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-018-2464-y