Interannual wave height variability in the Yellow Sea

  • Fangguo Zhai
  • Peiliang Li
  • Dan SongEmail author
Original Article


This paper investigates the interannual wave climate variability in the Yellow Sea (YS) using the Simulating Waves Nearshore (SWAN) wave model. Interannual variations of both the monthly mean and extreme wave conditions are weaker than their seasonal counterparts. Meanwhile, both exhibit significant seasonal variations. The interannual variability of the seasonal mean wave condition is strongest in winter and weakest in summer. It basically decreases both northward and shoreward in all four seasons. However, the longitudinal position of the maximum variability shifts zonally with seasons. On the other hand, the interannual variability of the seasonal extreme wave condition is strongest roughly in fall, but weakest in winter in most regions of the YS except in the southeastern YS, where the largest variability appears in summer. As for the spatial distribution, the largest variability occurs in the middle YS in spring, while in the southeastern YS in other three seasons. Both of them are dominantly controlled by the local sea surface wind forcing with possibly minor contributions from the western Pacific Ocean. The climate variability modes possibly at work are also discussed.


Yellow Sea Wave climate Interannual variation East Asian monsoon Tropical cyclone 



The ERA-I reanalysis is downloaded from The present study is sponsored by the Science and Technology Development Plan Project of Shandong Province (Grant number 2016ZDJS09A02), National Natural Science Foundation of China (Grant number 41506008), National Key Research and Development Program of China (Grant numbers 2016YFC1402304 and 2016YFC1401404), and Open Fund of Shandong Provincial Key Laboratory of Marine Ecology and Environment and Disaster Prevention and Mitigation (Grant number 201608). Dan Song is also supported by the Zhejiang Provincial Natural Science Foundation (Grant number LY17D060003). We sincerely thank two anonymous reviewers and the editor for their technical suggestions and constructive comments on the manuscript.


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Copyright information

© The Oceanographic Society of Japan and Springer Japan KK, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Oceanic and Atmospheric SciencesOcean University of ChinaQingdaoChina
  2. 2.Institute of Physical Oceanography and Remote Sensing, Ocean CollegeZhejiang UniversityZhoushanChina

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