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Impact of a Narrow Coastal Bay of Bengal Sea Surface Temperature Front on an Indian Summer Monsoon Simulation

机译:孟加拉海表面温度前缘的狭窄沿海湾对印度夏季风模拟的影响

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摘要

A dry bias in climatological Central Indian rainfall plagues Indian summer monsoon (ISM) simulations in multiple generations of climate models. Here, using observations and regional climate modeling, we focus on a warm coastal Bay of Bengal sea surface temperature (SST) front and its impact on Central Indian rainfall. The SST front, featuring sharp gradients as large as 0.5 °C/100 km, is colocated with a mixed layer depth (MLD) front, in a region where salinity variations are known to control MLD. Regional climate simulations coupling a regional atmospheric model with an ocean mixed layer model are performed. A simulation with observed MLD climatology reproduces SST, rainfall, and atmospheric circulation associated with ISM reasonably well; it also eliminates the dry bias over Central India significantly. Perturbing MLD structure in the simulations, we isolate the SST front’s impact on the simulated ISM climate state. This experiment offers insights into ISM climatological biases in the coupled NCEP Climate Forecast System version-2. We suggest that the warm SST front is essential to Central Indian rainfall as it helps to sustain deep and intense convection in its vicinity, which may be a source for the vortex cores seeding the monsoon low-pressure systems.
机译:印度中部气候的干旱偏向困扰着多代气候模型的印度夏季风(ISM)模拟。在这里,使用观测和区域气候模型,我们将重点放在孟加拉湾温暖的沿海海表温度(SST)前沿及其对印度中部降雨的影响。在已知盐度变化可以控制MLD的区域中,SST前沿具有高达0.5 C / 100 km的陡峭梯度,与混合层深度(MLD)前沿并置。进行了将区域大气模型与海洋混合层模型耦合的区域气候模拟。用观察到的MLD气候学进行的模拟可以很好地再现与ISM相关的海表温度,降雨和大气环流。它还大大消除了印度中部的干旱偏见。在模拟中干扰MLD结构,我们将SST前沿对模拟ISM气候状态的影响隔离开来。该实验提供了有关NCEP气候预报系统第二版中ISM气候偏差的见解。我们建议,温暖的SST前沿对于中部印度降水是必不可少的,因为它有助于在其附近维持深而强烈的对流,这可能是季风低压系统中形成漩涡核心的来源。

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