EGU25-13564, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-13564
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 30 Apr, 14:00–15:45 (CEST), Display time Wednesday, 30 Apr, 14:00–18:00
 
Hall X5, X5.8
Examining Downstream Impacts of Mesoscale Sea Surface Temperature Anomalies on Trade Cumulus Clouds in Satellite Observations
Xuanyu Chen1,2, Isabel McCoy1,3, Ryan Eastman4, Martin Janssens5, Hauke Schulz6, Geet George7, and Juliana Dias2
Xuanyu Chen et al.
  • 1University of Colorado Boulder, Cooperate Institute for Research in Environmental Sciences, United States of America (xuanyu.chen@colorado.edu)
  • 2NOAA Physical Sciences Laboratory, Boulder, USA
  • 3NOAA Chemical Sciences Laboratory, Boulder, USA
  • 4Department of Atmospheric and Climate Science, University of Washington, Seattle, USA
  • 5Wageningen University & Research, Wageningen, Netherlands
  • 6Danish Meteorological Institute, Copenhagen, Denmark
  • 7Civil Engineering and Geosciences, TU Delft, Delft, Netherlands

Trade-wind cumuli play a key role in the earth’s radiative budget and are at the heart of the longstanding uncertainty in climate sensitivity estimates. Understanding the mesoscale spatial organization (20 to 2000 km) of trade cumuli is at the forefront of addressing this uncertainty. Recent observations have shown that trade cumulus cloudiness is locally modulated by the weak yet ubiquitous sea surface temperature anomalies (SSTAs) over O(10-100) km in the Northwest Tropical Atlantic trade wind region. Specifically, the daily cloud fraction is increased above daily warm SSTAs. We hypothesize that the associated condensation heating anomalies can trigger convective aggregation downwind of warm SSTAs through an inherent convective instability for nonprecipitating shallow cumulus shown in Janssens et al. 2023. To test this hypothesis, we employ a Lagrangian framework where trade cumulus trajectories are estimated using ERA5 wind fields at 925 hPa. These Lagrangian cloud trajectories are initiated over the daily centroids of warm and cold mesoscale SST anomalies identified from the NOAA GOES-POES blended SST analysis at different local times. Cloud properties and cloud organization metrics are obtained and computed from the NASA SatCORPS CERES GEO Edition 4 GOES-16 Northern Hemisphere V1.2 product. Our preliminary composite analysis on ~400 Lagrangian trajectories passing warm and cold SSTAs, respectively, in the EUREC4A/ATOMIC region suggests that there is likely a downstream response in trade cumulus cloud fraction within 6 hours (~170 km) after an air parcel passes through a warm or cold SSTA. For trajectories initiated over the daily centers of SSTAs at 1:30am LT, we found that cloud fraction reduces after experiencing warm SSTAs and increases after experiencing cold SSTAs, similar to stratocumulus cloud responses to large-scale SST perturbations. The outcome of this study will help clarify the role of mesoscale air-sea interaction in trade cumulus cloud organization.

How to cite: Chen, X., McCoy, I., Eastman, R., Janssens, M., Schulz, H., George, G., and Dias, J.: Examining Downstream Impacts of Mesoscale Sea Surface Temperature Anomalies on Trade Cumulus Clouds in Satellite Observations, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13564, https://doi.org/10.5194/egusphere-egu25-13564, 2025.