首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Sensitivity of near-surface Tropical Instability Waves to submonthly wind forcing in the tropical Atlantic
Institution:1. School of Mathematics and Statistics, Qingdao University, Qingdao 266071, PR China;2. Department of Harbor and River Engineering and Computation and Simulation Center, National Taiwan Ocean University, Keelung 20224, Taiwan;3. Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan;1. Water Science and Technology Directorate, Environment and Climate Change Canada, 867 Lakeshore Rd, Burlington, Ontario L7S 1A1, Canada;2. Centre for Earth Observations Science, Department of Environment and Geography, University of Manitoba, 66 Chancellors Circle, Winnipeg, MB R3T 2N2, Canada;3. Water Quality Management Section, Department of Sustainable Development, 200 Saulteaux Crescent, Winnipeg, Manitoba R3J 3W3, Canada
Abstract:This study demonstrates the sensitivity of the near-surface properties in the tropical Atlantic Ocean to the high-frequency of the winds in numerical simulations. At intra-seasonal timescales (2–50 days), two distinct period ranges dominate the variability in the upper ocean: periods between 2 and 20 days, which are essentially wind-forced and periods between 20 and 50 days, due mostly to Tropical Instability Waves (TIWs). Using a numerical model forced by different wind fields, it is shown that the characteristics of the intra-seasonal variability in the ocean surface mixed-layer are strongly dependent on the wind forcing. Submonthly winds are shown to force large variability in the upper ocean that can strikingly decrease the amplitude of the TIWs in the mixed-layer and their imprint on the horizontal distribution of sea surface temperatures. Wind products containing too much energy at submonthly periods thus prevent wind-forced simulations from reproducing a realistic surface signature of TIWs, when compared to satellite observations of sea surface temperature. In addition, submonthly wind variability may be responsible for part of the observed interannual variability of the TIW signature in the temperature. The impact of submonthly winds is strongest in the mixed-layer: beneath the mixed-layer, all simulations show similar characteristics of the TIWs.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号