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Quantification of ocean-atmosphere energy exchange during super cyclone Amphan in the Bay of Bengal using Indian Ocean moored observatories

机译:孟加拉湾超旋风罐中的海洋气氛能源交换的量化使用印度洋停泊观察

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摘要

Based on the in-situ subsurface thermal and salinity measurements from the Ocean Moored buoy network for Northern Indian Ocean (OMNI) during the Super Cyclone Amphan in the Bay of Bengal during 14-18 May 2020, we have identified that the ocean-atmosphere interaction is limited to 80 m, the depth of the pycnocline. Using the OAEE-TS algorithm and dynamic changes in the sea subsurface temperature, salinity and precipitation as inputs, we have calculated the water vapor generation rates for a range of wind speeds. Based on the salinity changes, the water vapor generation rates for cyclone period-averaged wind speeds of 9, 16 and 25 m/s were 0.86, 4.33 and 11.24 kg/m(2)/h, respectively. For the same wind speeds, based on the Ocean Heat Content (OHC) changes, similar to 76, 86 and 95 % of the OHC changes were in the form of latent heat. The identified evaporation rate parameters along with the previous study results are presented as model which could be used as inputs for ocean-atmosphere coupled models and tropical cyclone intensification studies in the Bay of Bengal.
机译:根据孟加拉湾北部的海洋停泊浮标网络的原位地下热量和盐度测量,在2020年5月14日至18日孟加拉湾的超级旋风内amphan期间,我们发现了海洋气氛的互动限于80米,斑块的深度。使用OAEE-TS算法和海面地下温度,盐度和降水的动态变化作为输入,我们已经计算了一系列风速的水蒸气产生速率。基于盐度的变化,旋风周期平均风速的水蒸气产生速率分别为0.86,4.33和11.24kg / m(2)/ h。对于相同的风速,基于海洋热含量(OHC)变化,类似于76,86和95%的OCC变化是潜热的形式。鉴定的蒸发速率参数以及先前的研究结果呈现为模型,可以用作海洋气氛耦合模型的输入和孟加拉湾的热带气旋强化研究。

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