Hydrophysics

Hydrophysics

Evaluation of a Semi-Empirical Model for Simulation of Energy of Ocean Waves Induced by Tropical Cyclones in the Indian Ocean Surveying Energy of Ocean Waves Induced by Tropical Cyclones in the Indian Ocean

Document Type : Original Article

Author
Hossein Farjami
Faculty member / Iranian National Institute for Oceanography and Atmospheric Science
Abstract
Tropical cyclones develop over the north and south part of Indian Ocean because of the geographical and weather conditions. It causes irreparable damage to human life and economy on coastal areas. This study investigates the energy of ocean surface waves generated by the surface wind field of tropical cyclones in the Indian Ocean using satellite altimeter measurements and the semi-empirical Kudryavtsev model by considering “trapped fetch”. The translational velocity and information of tropical cyclones were obtained from the Joint Typhoon Warning Center (JTWC) best-track data and Jason 1 and Jason 2 satellites data set for 18 tropical cyclones between 2003 and2013. The results of this study indicate that the semi-empirical model suggested by Kudryavtsev in 2015 can be used to investigate and simulate unusual waves generated by tropical cyclones in the Indian Ocean.
Keywords
Tropical Cyclone
Indian Ocean
Satellite Altimeter
Semi-Empirical Model
[1] Cheung KK, Chang LT-C, Li Y. Rainfall prediction for landfalling tropical cyclones: perspectives of mitigation.  Typhoon Impact and Crisis Management: Springer; 2014. p. 175-201.
[2] Doocy S, Daniels A, Packer C, Dick A, Kirsch TD. The human impact of earthquakes: a historical review of events 1980-2009 and systematic literature review. PLoS currents. 2013;5.
[3] Holland GJ. An analytic model of the wind and pressure profiles in hurricanes. Monthly Weather Review. 1980;108(8):1212-8.
[4] Young IR. Wind generated ocean waves: Elsevier; 1999.
[5] Quilfen Y, Vandemark D, Chapron B, Feng H, Sienkiewicz J. Estimating gale to hurricane force winds using the satellite altimeter. Journal of Atmospheric and Oceanic Technology. 2011;28(4):453-8.
[6] Young I, Vinoth J. An “extended fetch” model for the spatial distribution of tropical cyclone wind–waves as observed by altimeter. Ocean Engineering. 2013;70:14-24.
[7] Bowyer PJ, MacAfee AW. The theory of trapped-fetch waves with tropical cyclones—An operational perspective. Weather and forecasting. 2005;20(3):229-44.
[8] Young IR. Parametric hurricane wave prediction model. Journal of Waterway, Port, Coastal, and Ocean Engineering. 1988;114(5):637-52.
[9] Kudryavtsev V, Golubkin P, Chapron B. A simplified wave enhancement criterion for moving extreme events. Journal of Geophysical Research: Oceans. 2015;120(11):7538-58.
[10] Farjami H, Golubkin P, Chapron B. Impact of the sea state on altimeter measurements in coastal regions. Remote Sensing Letters. 2016;7(10):935-44.
[11] Goddijn-Murphy L, Woolf DK, Chapron B, Queffeulou P. Improvements to estimating the air–sea gas transfer velocity by using dual-frequency, altimeter backscatter. Remote sensing of environment. 2013;139:1-5.
[12] Kitaigorodskii S. Applications of the theory of similarity to the analysis of wind-generated wave motion as a stochastic process. Izv Geophys Ser Acad Sci, USSR. 1962;1:105-17.
[13] Badulin SI, Babanin AV, Zakharov VE, Resio D. Weakly turbulent laws of wind-wave growth. Journal of Fluid Mechanics. 2007;591:339-78.
[14] Babanin AV, Soloviev YP. Variability of directional spectra of wind-generated waves, studied by means of wave staff arrays. Marine and freshwater research. 1998;49(2):89-101.
[15] Cimbala JM. Basic Statistics[Internet]. 2011.availableEEfrom:https://www.mne.psu.edu/me345/Lectures/Basic_Statistics.pdf, diakses tanggal 9 September 2014.

  • Receive Date 16 November 2018
  • Revise Date 13 February 2019
  • Accept Date 04 May 2019