Significant trend in vertical wind velocity variability over the last 40 years

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Abstract

Vertical air motion influences cloud formation, mixing and transport processes. Due to limitations in spatial resolution, global atmospheric models cannot resolve the sub-kilometer scale component of this motion. Instead it is represented using the standard deviation in vertical wind velocity within a grid cell, σ W . Using a novel deep learning model constrained by observational data, we reveal significant trends in σ W over the period 1980-2023. These trends, reaching up to 1% yr -1 in low and mid-level oceanic regions, indicate a more turbulent atmosphere with enhanced cloud formation over the last few decades. We attribute these trends to global shifts in water vapor, temperature and convection, suggesting a connection between enhanced warming, turbulence and cloud microphysics. Over the industrial era we estimate that increased cloud formation from enhanced σ W yields a radiative forcing of about -0.1 ± 0.21 W m -2 , slightly mitigating greenhouse warming.

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