Analysis of Wave Distributions Using the WAVEWATCH-III Model in the Arctic Ocean

作     者：SHAO Weizeng YU Wupeng JIANG Xingwei SHI Jian WEI Yongliang JI Qiyan SHAO Weizeng;YU Wupeng;JIANG Xingwei;SHI Jian;WEI Yongliang;JI Qiyan

作者机构：Marine Science and Technology CollegeZhejiang Ocean UniversityZhoushan 316000China National Satellite Ocean Application ServiceBeijing 100081China Southern Marine Science and Engineering Guangdong LaboratoryGuangzhou 511458China College of Meteorology and OceanographyNational University of Defense TechnologyNanjing 211101China College of Marine SciencesShanghai Ocean UniversityShanghai 201306China 

出 版 物：《Journal of Ocean University of China》 (中国海洋大学学报（英文版）)

年 卷 期：2022年第21卷第1期

页      面：15-27页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 

基　　金：support from the National Key Research and Development Program of China(No.2016 YFC1401605) the Key Special Project for Introduced Tal-ents Team of Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)(No.GML2019ZD0302) the National Natural Science Foundation of China(Nos.41806005 and 42076238) 

主　　题：long-term wave distribution sea ice WAVEWATCH-III Arctic Ocean 

摘      要：In this work,we examined long-term wave distributions using a third-generation numerical wave model called WAVE-WATCH-III(WW3)(version 6.07).We also evaluated the influence of sea ice on wave simulation by using eight parametric *** select a suitable ice-wave parameterization,we validated the simulations from the WW3 model in March,May,September,and December 2017 against the measurements from the Jason-2 altimeter at latitudes of up to 60°***,all parameterizations ex-hibited slight differences,i.e.,about 0.6 m root mean square error(RMSE)of significant wave height(SWH)in May and September and about 0.9 m RMSE for the freezing months of March and *** comparison of the results with the SWH from the European Centre for Medium-Range Weather Forecasts for December 2017 indicated that switch IC4_M1 performed most effec-tively(0.68 m RMSE)at high latitudes(60°-80°N).Given this finding,we analyzed the long-term wave distributions in 1999-2018 on the basis of switch IC4_*** the seasonal variability of the simulated SWH was of two types,i.e.,‘U’and‘sin’modes,our results proved that fetch expansion prompted the wave ***,the interannual variability of the specific regions in the‘U’mode was found to be correlated with the decade variability of wind in the Arctic Ocean.