EGU24-1281, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-1281
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Cold Pools in the Trades: External Drivers and Self-Organization Impact

Pouriya Alinaghi1, Martin Janssens2, Fredrik Jansson1, A. Pier Siebesma1,3, and Franziska Glassmeier1
Pouriya Alinaghi et al.
  • 1Department of Geoscience & Remote Sensing, Delft University of Technology, The Netherlands
  • 2Department of Meteorology & Air Quality, Wageningen University & Research, The Netherlands
  • 3Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands

Recent observations of the trades highlight the covariability between cold pool (CP) properties and cloud cover, suggesting a potential impact of CPs on the cloud radiative effect (CRE). To explore this, we use an ensemble of 103 large-domain, high-resolution, large-eddy simulations (Cloud Botany). We investigate the extent to which the variability in CPs is driven by external conditions or convective self-organization. Our findings show that CPs are notably controlled by large-scale conditions, specifically (horizontal) wind speed and subsidence. The temporal evolution of CPs is tightly related to the diurnality in radiation. To understand the extent to which CPs vary with self-organization, we switch off the diurnality in radiation. Despite the absence of the diurnal cycle, CP time series still exhibit fluctuations. These fluctuations result from the recharge-discharge of thermodynamic and dynamic properties of the sub-cloud layer owing to CP-cloud interactions. Our results demonstrate that circulations induced by CPs reinforce the parent clouds, resulting in deepening and scale growth, followed by mesoscale arcs enclosing clear-sky areas. Finally, we show that CPs influence CRE, but only when they exist during the day. Our findings emphasize the importance of the relationship between the timescales of self-organization and the diurnal cycle of external conditions, greatly influencing the CRE dependency on self-organizing CPs.

How to cite: Alinaghi, P., Janssens, M., Jansson, F., Siebesma, A. P., and Glassmeier, F.: Cold Pools in the Trades: External Drivers and Self-Organization Impact, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1281, https://doi.org/10.5194/egusphere-egu24-1281, 2024.