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Construction and Quality of Best Tracks Parameters for Study of Climate Change Impact on Tropical Cyclones over the North Indian Ocean during Satellite Era

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Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change

Abstract

India Meteorological Department (IMD) has the responsibility of monitoring and prediction of cyclonic disturbances (CDs) including tropical cyclone (TC) and depressions; collection, processing and archival of all data pertaining to CDs and preparation of best track data over the North Indian Ocean (NIO). A CD is classified based on the associated sustained surface wind (MSW) (IMD, 2003). The detailed classification over the NIO adopted by IMD is shown in Table 1. This classification has been used in this study for analyzing interannual variation of frequency and intensity of CDs over the NIO during satellite era (1961-2010).

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References

  • Bessho, K., Demaria, M. and Knaff, J.A. (2006). Tropical cyclone wind retrieval from Advanced Microwave Sounder Unit (AMSU) application to surface wind analysis. J. Appl. Meteorol., 45; 399-415.

    Google Scholar 

  • Courtney, J. and Knaff, J.A. (2009). Adapting the Knaff and Zehr Wind-Pressure Relationship for operational use in Tropical Cyclone Warning Centres. Australian Meteorological and Oceanographic Journal, 58: 167-179.

    Google Scholar 

  • Dvorak, V.F. (1972). A technique for the analysis and forecasting of tropical cyclone intensities from satellite pictures. NOAA Tech. memo., NESS 36, Washington, D.C.

    Google Scholar 

  • Dvorak, V.F. (1973). A technique for the analysis and forecasting of tropical cyclone estimates from satellite pictures. NOAA Tech. Memorandum, NESS-45, US Dept. of Commerce.

    Google Scholar 

  • Dvorak, V.F. (1975). Tropical cyclone intensity analysis and forecasting from satellite imagery. Mon. Wea. Rev., 103: 420-430.

    Article  Google Scholar 

  • Dvorak, V.F. (1984). Tropical cyclone intensity analysis using satellite data. NOAA Tech. Rep. 11. Available from NOAA/NESDIS, 5200 Auth Rd., Washington, DC 20333.

    Google Scholar 

  • Elsberry, R.L. (2003). Track forecast guidance improvement for early warnings of tropical cyclones. In: Early warning system for natural disaster reduction (ed.), Jochen Jschau and Andreas N. Kuppers. Springer Publication, New York.

    Google Scholar 

  • Evans, K.F. and Stephens, A.L. (1993). Microwave remote sensing algorithms for cirrus cloud and precipitation. Dept of Atmospheric Science, Colarado University, Atmospheric Science Paper No. 540.

    Google Scholar 

  • Fritz, S., Hubert, L.F. and Timchalk, A. (1966). Some inferences from satellite pictures of tropical disturbances. Mon. Wea. Rev., 94: 231-236.

    Article  Google Scholar 

  • Goodberlet, M.A., Swift, C.T. and Wilkerson, J.C. (1989). Remote sensing of ocean surface with special sensor microwave/imager. J. Geophys. Res., 94: 14547-14555.

    Google Scholar 

  • Goyal, Suman, Mohapatra, M. and Sharma, A.K. (2013). Comparison of best track parameters of RSMC, New Delhi with satellite estimates over north Indian Ocean. 64: 25-34.

    Google Scholar 

  • Harper, B.A., Kepert, J. and Ginger. J. (2008). Wind speed time averaging conversions for tropical cyclone conditions. Proc. 28th Conf Hurricanes and Tropical Meteorology. AMS, Orlando, 4B.1, April.

    Google Scholar 

  • Hatwar, H.R., Subrahmanyam, V., Mohapatra, M., Roy Bhowmik, S.K., Bandyopadhay, B.K., Singh, Ch. and Srivastava, K. (2008). A report on the cyclonic storm “Ogni” 2006, 2008. India Meteorological Department, Meteorological Monograph, Cyclone Warning Division 2/2008.

    Google Scholar 

  • Hawkins, J.D., Lee, T.F., Turk, J., Sampson, C., Kent, J. and Richardson, K. (2001). Real-time internet distribution of satellite products for tropical cyclone reconnaissance. Bull. Amer. Meteor. Soc., 82 : 567-578.

    Article  Google Scholar 

  • IMD (2003). Cyclone Manual. IMD, New Delhi.

    Google Scholar 

  • IMD (2008). Tracks of Cyclones and Depressions (1891-2007). Electronic Version 1.0/2008, IMD, Chennai.

    Google Scholar 

  • Knaff, J.A., Brown, D.P., Courtney, J., Gallina, G.M. and Beven III, J.L. (2010). An evaluation of Dvorak technique–based tropical cyclone intensity estimates. Wea. Forecasting, 25: 1362-1379.

    Article  Google Scholar 

  • Knaff, John A. and Zehr, Raymond M. (2007). Reexamination of Tropical Cyclone Wind-Pressure Relationships. Wea. Forecasting, 22: 71-88.

    Article  Google Scholar 

  • Koba, H., Hagiwara, T., Osano, S. and Akashi, S. (1991). Relationships between CI number and minimum sea level pressure/maximum wind speed of tropical cyclones. Geophysical Magazine, 44: 15-25.

    Google Scholar 

  • Koteswaram, P. (1961). Cloud pattern in a tropical cyclone in the Arabian Sea, viewed by TIROS I meteorological satellite. Sci. Rep., 2, Prepared for Geo. Phy. Res, Dir. AFCL, Hawai Inst. Geophys. Rep, 18, pp. 34.

    Google Scholar 

  • Koteswaram, P. (1971). A decade of satellite meteorology in India. Indian Journal of Met. Geophys., 22: 273-278.

    Google Scholar 

  • Kummerow, C., Olson, W.S. and Giglow, L. (1996). A simplified scheme for obtaining precipitation and hydrometeor profile from passive microwave sensor. IEEE. Trans, Geosci. Remote Sense., 34: 1213-1232.

    Google Scholar 

  • Lander, M. (2008). A comparison of typhoon best track data in the western north Pacific: Irreconcilable differences. 28th AMS Conference on Hurricanes and Tropical Meteorology, Orlando, FL.

    Google Scholar 

  • Landsea, C.W. (1993). A climatology of intense (or major) Atlantic hurricanes. Mon. Wea. Rev., 121: 1703-1713.

    Article  Google Scholar 

  • Mandal, G.S. and Prem Krishna (2009). Global warming, climate change and cyclone related destructive winds – Discussion of results from some selected studies with emphasis on the north Indian Ocean. Global Environmental Research, 13: 141- 150.

    Google Scholar 

  • Martin, J.D. and Gray, W.M. (1993). Tropical Cyclone Observation and Forecasting with and without Aircraft Reconnaissance. Weather and Forecasting, 8: 519-532.

    Article  Google Scholar 

  • Mishra, D.K. and Gupta, G.R. (1976). Estimation of maximum wind speed in tropical cyclones occurring in Indian Seas. IJMH&G, 27: 285-290.

    Google Scholar 

  • Mishra, D.K. and Hem Raj (1975). A satellite study of intensities of cyclonic storms in the Bay of Bengal. Ind. J. Meteo. and Geophys., 26: 455-464.

    Google Scholar 

  • Mohapatra, M., Bandyopadhyay, B.K. and Tyagi, Ajit (2012). Best track parameters of tropical cyclones over the North Indian Ocean: A review. Natural Hazards, 63: 1285-1317.

    Article  Google Scholar 

  • Mohapatra, M., Naresh Kumar and Manish Ranalkar (2011). Utility of automatic weather station (AWS) data for monitoring and prediction of cyclonic disturbances during 2010. IMD Met. Monograph, Synoptic Meteorology No. 10/2011.

    Google Scholar 

  • Nakazawa, T. and Hoshino, S. (2009). Intercomparison of Dvorak Parameters in the Tropical Cyclone Datasets over the Western North Pacific. Scientific Online Letters on the Atmosphere, 5: 33-36.

    Google Scholar 

  • Timechalk, A., Hubert, I.F. and Fritz, S. (1967). Wind speeds from TIROS pictures of storms in the tropics, Met. Sat. Lab. Rep., 33, US Weather Bureau.

    Google Scholar 

  • Tyagi, Ajit, Mohapatra, M., Bandyopadhyay, B.K. and Naresh Kumar (2010). Inter- annual variation of frequency of cyclonic disturbances landfalling over WMO/ ESCAP Panel Member Countries. WMO/TD-No. 1541 on Ist WMO International conference on Indian Ocean Tropical Cyclones and climate change, Muscat, Sultanate of Oman, 08-11 March 2009. WWRP-2010/2.

    Google Scholar 

  • Velden, C.S., Olson, W.S. and Roth, B.A. (1989). Tropical cyclone center-fixing using DMSP SSM/I data. Fourth Conf. on Satellite Meteorology and Oceanography. Amer. Meteor. Soc., San Diego, CA.

    Google Scholar 

  • Velden, C.S. and Smith, W.L. (1983). Monitoring Tropical cyclone evolution with NOAA satellite microwave observations. J. Climate .Appl. Meteorol., 22: 714- 724.

    Google Scholar 

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Mohapatra, M., Bandyopadhyay, B.K., Tyagi, A. (2014). Construction and Quality of Best Tracks Parameters for Study of Climate Change Impact on Tropical Cyclones over the North Indian Ocean during Satellite Era. In: Mohanty, U.C., Mohapatra, M., Singh, O.P., Bandyopadhyay, B.K., Rathore, L.S. (eds) Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7720-0_1

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