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The Characteristics and Variability of Intraseasonal Coastal Kelvin Waves in the Bay of Bengal under Hindcast Conditions and the RCP8.5 Scenario

机译:后预况下孟加拉湾滨海开尔文波季节内开尔文波的特征和变异性以及RCP8.5情景

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摘要

The characteristics and variability of intraseasonal internal coastal Kelvin waves (CKWs) along the Bay of Bengal (BoB) waveguide are investigated in the context of global warming by employing a regional ocean model. The analyzed period covers 120 years from 1980 to 2099, which includes the historical scenario and the RCP8.5 scenario. CKW information is successfully extracted from the temperature anomalies along the pycnocline by applying a newly developed methodology. The analysis reveals that intraseasonal CKWs in the BoB are highly in accordance with the intraseasonal zonal wind stress in the western equatorial Indian Ocean; the downwelling CKW lags the equatorial intraseasonal westerly winds, and the upwelling CKW lags the equatorial intraseasonal easterly winds. The CKWs significantly affect subsurface characteristics at the eastern BoB boundary, and the weakening of CKWs near the Irrawaddy Delta tip is a general feature occurring in the subsurface. With respect to the long-term scale, the occurrence of significant CKWs is predicted to be more frequent in the future under the high emissions pathway. Remarkably, the monthly climatology of CKWs varies over time; unlike the first two 30-yr analyzed periods, significant CKWs are predicted to mainly occur around August during the last two 30-yr periods due to the corresponding variabilities in the equatorial wind field, suggesting that the BoB characteristics may greatly deviate from the current climatological state.
机译:采用区域海洋模型研究了全球变暖背景下孟加拉湾(BoB)波导沿线的季节内内沿海开尔文波(CKWs)的特征和变异性。分析期间从1980年到2099年的120年,包括历史情景和RCP8.5情景。采用新开发的方法,成功从岩层温度异常中提取CKW信息。分析表明,BoB的季节内CKW与赤道印度洋西部的季节内纬向风应力高度吻合;CKW滞后于赤道季节内西风,上升流CKW滞后于赤道季节内东风。CKWs显著影响BoB东部边界的地下特征,伊洛瓦底江三角洲尖端附近CKWs的减弱是地下的一般特征。从长期尺度来看,预计未来在高排放路径下,显著CKWs的发生频率会更高。值得注意的是,CKWs的月气候随时间变化;与前两个30年分析期不同,由于赤道风场的相应变化,预计后两个30年期的显著CKW主要发生在8月前后,表明BoB特征可能与当前气候状态有很大偏差。

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