Abstract Latent Heat Flux (LHF) and Sensible Heat Flux (SHF) are the two important parameters in air-sea interactions and hence have significant implications for any coupled ocean-atmospheric model. These two fluxes are conventionally computed from met-ocean parameters using bulk aerodynamic formulations; or the Coupled Ocean Atmosphere Response Experiment (COARE) bulk flux algorithms. Here COARE 3.5 algorithm is used to estimate the heat flux from two Ocean Moored Buoy Network for northern Indian Ocean (OMNI) buoy met-ocean observations in Arabian Sea (AS) and the Bay of Bengal (BoB). The AS and BoB are two ocean basins which are situated in same latitudinal range, but experience drastically differing in their met-ocean conditions, especially during the monsoon seasons. In this study, we have computed and compared the LHF and SHF at two different buoy locations in the AS and BoB and analysed their variability during three different seasons from November 2012 to September 2013. Additionally, 20 years (1998-2017) of Objectively Analysed (OA) Flux data sets collocated with the OMNI buoy locations were also utilised to the analyse the long period seasonal variabilities. The flux terms show strong seasonal variability with several peaks during the monsoon seasons in both the ocean basins. LHF varies directly with wind speed (WS) and inversely with relative humidity (RH). The correlation of LHF with WS is greater than 0.7 and RH is nearly -0.6 with few exceptions during pre-monsoon season in the AS and southwest monsoon in the BoB. However, SHF is less correlated with WS (∼0.3 to 0.5). The difference of sea surface temperature and air temperature (denoted as SST-AT) plays a significant role in determining SHF with a correlation greater than 0.6 in both the basins.

中文翻译：

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北印度洋两个对比鲜明的盆地中海气通量的季节性变化

摘要 潜热通量（LHF）和感热通量（SHF）是海气相互作用中的两个重要参数，因此对任何海洋-大气耦合模型都具有重要意义。这两个通量通常是使用大量空气动力学公式根据气象海洋参数计算得出的；或耦合海洋大气响应实验 (COARE) 体通量算法。这里使用 COARE 3.5 算法来估计来自印度洋北部 (OMNI) 浮标海洋观测的两个海洋系泊浮标网络的热通量，用于阿拉伯海 (AS) 和孟加拉湾 (BoB)。AS 和 BoB 是位于同一纬度范围内的两个海洋盆地，但它们的海洋条件截然不同，尤其是在季风季节。在这项研究中，我们计算并比较了 AS 和 BoB 两个不同浮标位置的 LHF 和 SHF，并分析了它们在 2012 年 11 月至 2013 年 9 月三个不同季节的变化。此外，客观分析 (OA) 通量的 20 年（1998-2017）与 OMNI 浮标位置搭配的数据集也被用来分析长期的季节性变化。通量项显示出强烈的季节性变化，在两个海洋盆地的季风季节都有几个峰值。LHF 随风速 (WS) 直接变化，与相对湿度 (RH) 成反比。LHF 与 WS 的相关性大于 0.7，RH 接近 -0.6，在 AS 的前季风季节和 BoB 的西南季风期间几乎没有例外。然而，SHF 与 WS 的相关性较低（~0.3 到 0.5）。