The essential mixing effects of the non-breaking surface wave on general circulation and climate models
Improving forecasting ability on ocean and climate is one of the main streams for oceanic and atmospheric sciences.However,the simulated mixing layer depth is always too shallow for nearly all ocean circulation models especially for summer season,and tropical biases are challenges for all climate models without flux-adjustment.We speculate that the above weaknesses may be related with some missed physical processes in ocean and climate models.The ocean surface mixed layer (ML) determines the lower atmospheric boundary conditions,and controls mass,momentum and energy fluxes across the air-sea interface.Incorrect parameterizations of the ocean mixing processes essentially render the atmospheric and oceanic dynamics to be either decoupled or coupled incorrectly.Because the ocean covers three quarters of the global surface,it is essential that we correctly model the ocean ML,so that we can better simulate and predict the climate.As the mixing process is essentially an energy balance problem,surface waves,as the most energetic motions in the ocean,should play a controlling role.Unfortunately,in most ocean dynamics studies,wave motions have always been treated separately from the ocean circulation.To overcome this shortcoming,we have established a new scheme on the non-breaking wave-induced vertical mixing (Bv) that will correct the systematic error of insufficient mixing.We observed this kind of non-breaking surface wave-induced vertical mixing in laboratory experiments already.The new scheme of Bv has enabled the mixing layer to deepen,and a much better agreement with observed climatologic data.Different OGCMs such as POM,ROMS,MOM4,POP and HIM show quite similar essential improvements in global oceans.Besides,the Bv has also been used to study the temperature and salinity distribution with amazingly good agreement with observations in coastal area (http://www.agu.org/journals/ss/ CHINASEAS1/).Then we examine the effects of Bv on climate models,CCSM3 and FGCM0.Both two climate models show dramatic improvements from mean state to long-term variations.For example,the tropical biases are much improved.All above suggest that the surface wave should be an important clue and so a low-lying fruit for improving the performance of ocean and climate models.
Surface wave-induced mixing model improvement
QIAO Fangli SONG Zhenya HUANG Chuanjiang XIA Changshui DAI Dejun
The First Institute of Oceanograhpy, Qingdao, China
国际会议
The 17th Pacific -Asian Marginal Seas Meeting(第十七届太平洋与亚洲边缘海国际会议)
杭州
英文
716-721
2013-04-23（万方平台首次上网日期，不代表论文的发表时间）