Key Laboratory of Physical Oceanography, Ministry of Education, Institute for Advanced Ocean Study, Frontiers Science Center for Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China, Qingdao, 266100, China
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
Key Laboratory of Physical Oceanography, Ministry of Education, Institute for Advanced Ocean Study, Frontiers Science Center for Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China, Qingdao, 266100, China
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
Pilot National Laboratory for Marine Science and Technology (QNLM), Qingdao, 266100, China
International Laboratory for High-Resolution Earth System Model and Prediction (iHESP), Qingdao, 266100, China
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Total article views: 3,857 (including HTML, PDF, and XML)
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Two assimilation systems developed using two nearly independent wave models are used to study the influences of various error sources including mode bias on wave data assimilation; a statistical method is explored to make full use of the merits of individual assimilation systems for bias correction, thus improving wave analysis greatly. This study opens a door to further our understanding of physical processes in waves and associated air–sea interactions for improving wave modeling.
Two assimilation systems developed using two nearly independent wave models are used to study...