2021
DOI: 10.1029/2020gl091299
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Diurnal Ocean Surface Warming Drives Convective Turbulence and Clouds in the Atmosphere

Abstract: Sunlight warms sea surface temperature (SST) under calm winds, increasing atmospheric surface buoyancy flux, turbulence, and mixed layer (ML) depth in the afternoon. The diurnal range of SST exceeded 1°C for 24% of days in the central tropical Indian Ocean during the Dynamics of the Madden Julian Oscillation experiment in October‐December 2011. Doppler lidar shows enhancement of the strength and height of convective turbulence in the atmospheric ML over warm SST in the afternoon. The turbulent kinetic energy (… Show more

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Cited by 11 publications
(9 citation statements)
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“…Our results are in agreement with the observations of de Szoeke et al. (2021). They find that, in the tropical Indian ocean, the SST forcing is responsible for the enhanced vertical mixing in the maritime ABL when the wind is weak, and a strong SST diurnal warming occurs.…”
Section: Resultssupporting
confidence: 94%
“…Our results are in agreement with the observations of de Szoeke et al. (2021). They find that, in the tropical Indian ocean, the SST forcing is responsible for the enhanced vertical mixing in the maritime ABL when the wind is weak, and a strong SST diurnal warming occurs.…”
Section: Resultssupporting
confidence: 94%
“…The spatially broad and temporally regular nature of DWLs has allowed for extensive study of these phenomena, and their impact upon atmospheric convection is well‐documented (Bellenger & Duvel, 2009 ; Bellenger et al., 2010 ; de Szoeke et al., 2021 ). Increased SST within DWLs deepens the atmospheric boundary layer and helps regulate the diurnal cycle of convection in the tropics, and inclusion of DWL parameterizations in atmospheric models has improved forecasting of the MJO (Woolnough et al., 2007 ; Zhao & Nasuno, 2020 ) and ENSO (Masson et al., 2012 ; Terray et al., 2012 ), indicating that DWLs contribute to climate variability on the intraseasonal and interannual time scales.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, de Szoeke et al. (2021) argued that in the observations from the DYNAMO data set, convection is enhanced on days with large SST differences. Finally, Voldoire et al.…”
Section: Introductionmentioning
confidence: 87%
“…Voldoire et al (2022) showed that the impact of DWLs on the boundary layer depth, atmospheric moisture and precipitation seems to be small. In contrast, de Szoeke et al (2021) argued that in the observations from the DYNAMO data set, convection is enhanced on days with large SST differences. Finally, Voldoire et al (2022) conjectured that a single column model cannot capture horizontal interactions that might lead to a larger impact.…”
mentioning
confidence: 91%