Abstract
The role of high-frequency (subdaily time scales) weather systems in modulating the sea surface temperature (SST) and the mixed layer (ML) depth in the central Arabian Sea is investigated using one-dimensional mixed-layer models for different monsoon seasons. Simulations forced by subhourly sampled meteorological variables, including surface wind, air temperature, humidity, and cloud, are compared to simulations forced by daily-averaged meteorological variables. It is found that including high-frequency signals in the meteorological variables lowers the daily-mean SST (by 0.8°C on average) and damps its variability (the standard deviation decreases by 1.0°C) but has little systematic effect on the SST diurnal variability. There is a small but consistent deepening of the ML depth associated with the slightly intensified wind stress and heat loss due to high-frequency weather systems at this site. The cooling effect on the daily-mean SST is found to be closely related to the ML depth on daily-to-seasonal time scales. The impact of high-frequency weather systems is primarily driven by the high-frequency wind via the turbulent heat and momentum fluxes.
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Zhou, S., Zhai, X., & Renfrew, I. A. (2018). The Impact of High-Frequency Weather Systems on SST and Surface Mixed Layer in the Central Arabian Sea. Journal of Geophysical Research: Oceans, 123(2), 1091–1104. https://doi.org/10.1002/2017JC013609
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