EGU2020-4379, updated on 20 Dec 2022
https://doi.org/10.5194/egusphere-egu2020-4379
EGU General Assembly 2020
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Large-scale vertical motion and its influence on cloudiness

Geet George1, Bjorn Stevens1, Sandrine Bony2, and Marcus Klingebiel1
Geet George et al.
  • 1Max Planck Institute for Meteorology, Atmosphere in the Earth Sciences, Germany
  • 2LMD/IPSL, CNRS, Sorbonne University, Paris, France

This study uses measurements from the Elucidating the Role of Clouds-Circulation Coupling in Climate, EUREC4A and the second Next-Generation Aircraft Remote Sensing for Validation, NARVAL2 campaigns to investigate the influence of large-scale environmental conditions on cloudiness. For the first time, these campaigns provide divergence measurements, making it possible to explore the impact of large-scale vertical motions on clouds. We attempt to explain the cloudiness through the varying thermodynamics and dynamics in the different environments.  For most of the NARVAL2 case-studies, cloudiness is poorly related to thermodynamical factors such as sea-surface temperature and lower tropospheric stability. Factors such as integrated water vapour and pressure velocity (ω) at 500 hPa and 700 hPa can be used to distinguish between actively convecting and suppressed regions, but they are not useful in determining the variation in cloudiness among suppressed cases. We find that ω in the boundary layer (up to ∼2 km) has a more direct control on the low-level cloudiness in these regions, than that in the upper layers. We use a simplistic method to show that ω at the lifting condensation level can be used to determine the cloud cover of shallow cumulus clouds. Thus, we argue that cloud schemes in models should not rely only on thermodynamical information, but also on dynamical predictors.

How to cite: George, G., Stevens, B., Bony, S., and Klingebiel, M.: Large-scale vertical motion and its influence on cloudiness, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4379, https://doi.org/10.5194/egusphere-egu2020-4379, 2020.

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