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The Possible Forecasting of Tropical Cyclone General Characters by Its Onset Parameters
Current Issue
Volume 2, 2015
Issue 3 (May)
Pages: 39-42   |   Vol. 2, No. 3, May 2015   |   Follow on         
Paper in PDF Downloads: 17   Since Aug. 28, 2015 Views: 1499   Since Aug. 28, 2015
Authors
[1]
Mikhail I. Yaroshevich, Federal State Budgetary Institution “Research and Production Association “Typhoon” (FSBI “RPA “Typhoon”), Obninsk Kaluga Region, Russia.
Abstract
There is shown the possibility of a preliminary statistical evaluation of such general characteristics of a tropical cyclone as the maximal winds velocity, duration from the cyclone arising to its succeeding the maximal winds velocity, the duration and the average velocity of the cyclone. The background data for numerical experiments are the parameters of tropical cyclones North-Western Pacific Ocean.
Keywords
Tropical Cyclone, Regularity of Evolution, Statistical Study
Reference
[1]
Elsberry, R.L., Chen, L., Davidson, J., Rogers, R., Wang, Y., and Wu, L. Advances in understanding and forecasting rapidly changing phenomena in tropical cyclones// Tropical Cyclone Research & Review 2(1) (2013): 13-24pp.
[2]
Global Perspectives on Tropical Cyclones: From Science to Mitigation. Ed. J.C.L. Chan and J.D. Kepert. New Jersey et al: World Scientific, 2010.
[3]
Goerss, J.S., and Sampson, Ch.R. Prediction of consensus tropical cyclone intensity forecast error.// Weather and Forecasting 29. 2014. 750–762pp.
[4]
Influence of local and remote SST on North Atlantic tropical cyclone potential intensity SJ Camargo, M Ting, Y Kushnir. Climate dynamics 2013 V.40 (5-6), 1515-1529
[5]
John A. Knaff, Mark Demaria, Charles R. Sampson, et al. Statistical, 5-Day Tropical Cyclone Intensity Forecasts Derived from Climatology and Persistence // WEATHER AND FORECASTING 2002. v 18, 92p.
[6]
Kieran T. Bhatia and David S. Nolan, 2013: Relating the Skill of Tropical Cyclone Intensity Forecasts to the Synoptic Environment. Wea. Forecasting, 28, 961–980. http://dx.doi.org/10.1175/WAF-D-12-00110.1
[7]
Krishnamurti, T.N., Stefanova, L., and Misra V. Tropical Meteorology.// An Introduction. New York et al: Springer, 2013.
[8]
SJ Camargo, AG Barnston, PJ Klotzbach, CW Landsea. Seasonal tropical cyclone forecasts // WMO Bulletin 2007, V. 56, N 4, 297-309
[9]
Unisys. “Western Pacific Hurricane Tracking Data by Year”. 2012. http://weather.unisys.com/hurricane/w_pacific.
[10]
Wang, Y. Recent research progress on tropical cyclone structure and intensity.//Tropical Cyclone Research & Review 1(2) 2012. 254-275 pp.
[11]
WWRP/WGNE Joint Working Group on Forecast Verification Research. Verification methods for tropical cyclone forecasts.//World Weather Research Program and Working Group on Numerical Experimentation World Meteorological Organization 2013. 84p.
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