Climate and extrema of ocean waves in the East China Sea
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Wave climate plays an important role in the air-sea interaction over marginal seas. Extreme wave height provides fundamental information for various ocean engineering practices, such as hazard mitigation, coastal structure design, and risk assessment. In this paper, we implement a third generation wave model and conduct a high-resolution wave hindcast over the East China Sea to reconstruct a 15-year wave field from 1988 to 2002 for derivation of monthly mean wave parameters and analysis of extreme wave conditions. The numerical results of the wave field are validated through comparison with satellite altimetry measurements, low-resolution reanalysis, and the ocean wave buoy record. The monthly averaged wave height and wave period show seasonal variation and refined spatial patterns of surface waves in the East China Sea. The climatological significant wave height and mean wave period decrease from the open ocean in the southeast toward the continental area in the northwest, with the pattern generally following the bathymetry. Extreme analysis on the significant wave height at the buoy station indicates the hindcast data underestimate the extreme values relative to the observations. The spatial pattern of extreme wave height shows single peak emerges at the southwest of Ryukyu Island although a wind forcing with multi-core structure at the extreme is applied.
KeywordsWave climate East China Sea Extreme value analysis WaveWatch-III
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The authors would like to thank the SOED HPCC for their computational support, and WAFO group for supplying the code (http://www.maths.lth.se/matstat/wafo/). The CCMP wind product was provided by Earth Science Enterprise (ESE) of National Aeronautics and Space Administration (NASA). TP satellite significant wave height was downloaded from Jet Propulsion Laboratory of NASA (https://www.jpl.nasa.gov/). Comments and suggestions provided by anonymous reviewers are greatly appreciated. This work was supported by the National Natural Science Foundation of China (Grant Nos. 41476021, 41576013 & 41321004), the National High Technology Research and Development Program of China (Grant No. 2013AA122803), and National Program on Global Change and Air-Sea Interaction (Grant No. GASI-IPOVAI-04).
- Battjes J A, Janssen J P F M. 1978. Energy loss and set-up due to breaking of random waves. In: 16th International Conference on Coastal Engineering, American Society of Civil Engineers. Hamburg. 569–587Google Scholar
- Brodtkorb P A, Johannesson P, Lindgren G, Rychlik I, Rydén J, Sjö E. 2000. WAFO—A Matlab toolbox for the analysis of random waves and loads. In: 10th International Offshore and Polar Engineering Conference ISOPE. Seattle, 3: 343–350Google Scholar
- Cavaleri L, Alves J H G M, Ardhuin F, Babanin A, Banner M, Belibassakis K, Benoit M, Donelan M, Groeneweg J, Herbers T H C, Hwang P, Janssen P A E M, Janssen T, Lavrenov I V, Magne R, Monbaliu J, Onorato M, Polnikov V, Resio D, Rogers W E, Sheremet A, McKee Smith J, Tolman H L, van Vledder G, Wolf J, Young I. 2007. Wave modelling—The state of the art. Prog Oceanogr, 75: 603–674CrossRefGoogle Scholar
- Dee D P, Uppala S M, Simmons A J, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda M A, Balsamo G, Bauer P, Bechtold P, Beljaars A C M, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer A J, Haimberger L, Healy S B, Hersbach H, Hólm E V, Isaksen L, Kållberg P, Köhler M, Matricardi M, McNally A P, Monge-Sanz B M, Morcrette J J, Park B K, Peubey C, de Rosnay P, Tavolato C, Thépaut J N, Vitart F. 2011. The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Q J R Meteorol Soc, 137: 553–597CrossRefGoogle Scholar
- Hasselmann S, Hasselmann K, Allender J H, Barnett T P. 1985. Computations and parameterizations of the nonlinear energy transfer in a gravity-wave specturm. Part II: Parameterizations of the nonlinear energy transfer for application in wave models. J Phys Oceanogr, 15: 1378–1391Google Scholar
- Huang Y, Yin B S, Perrie W, Hou Y J. 2008. Responses of summertime extreme wave heights to local climate variations in the East China Sea. J Geophys Res, 113: C09031Google Scholar
- Li M K, Hou Y J. 2005. Simulating wind-wave field of the East China Seas with QuikSCAT/NCEP blended wind and WAVEWATCH (in Chinese). Mar Sci, 29: 9–12Google Scholar
- Xu Y Q, Yin B S, Yang D Z, Cheng M H. 2005. Study of wave numerical model in East China Sea (in Chinese). Mar Sci, 29: 42–47Google Scholar