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The role of wind gusts in upper ocean diurnal variability
Author(s) -
Giglio Donata,
Gille Sarah T.,
Subramanian Aneesh C.,
Nguyen San
Publication year - 2017
Publication title -
journal of geophysical research: oceans
Language(s) - English
Resource type - Journals
eISSN - 2169-9291
pISSN - 2169-9275
DOI - 10.1002/2017jc012794
Subject(s) - diurnal cycle , environmental science , climatology , madden–julian oscillation , forcing (mathematics) , stratification (seeds) , diurnal temperature variation , atmospheric sciences , advection , sea breeze , convection , meteorology , geology , geography , seed dormancy , germination , botany , physics , dormancy , biology , thermodynamics
Abstract Upper ocean processes play a key role in air‐sea coupling, with variability on both short and long time scales. The diurnal cycle associated with diurnal solar insolation and nighttime cooling, may act, along with stochastic wind variability, on upper ocean temperatures and stratification resulting in a diurnal warm layer and a nonlinear rectified effect on longer time scales. This study describes diurnal changes in upper ocean temperature for a location in the equatorial Indian Ocean, using observations from the Dynamics of the Madden‐Julian Oscillation field campaign, a high vertical resolution 1‐D process model, and a diurnal cycling scheme. Solar forcing is the main driver of diurnal variability in upper ocean temperature and stratification. Yet except during nighttime convection, winds with variability on the order of hours (here referred to as “wind gusts”) regulate how fast surface water is mixed to greater depths when daily mean winds are weak. Wind gusts are much stronger than diurnal winds. Even using stochastic wind gusts but no diurnal winds as input in a 1‐D process model yields an estimate of diurnal temperature that compares well with observations. A new version of the Large and Caron (2015) scheme (LC2015) provides an estimate of upper ocean diurnal temperature that is consistent with observations. LC2015 has the advantage of being suitable for implementation in a climate model, with the goal to improve SST estimates, hence the simulated heat flux at the air‐sea interface. Yet LC2015 is not very sensitive to the inclusion or omission of the high‐frequency component of the wind.