Articles | Volume 18, issue 5
https://doi.org/10.5194/gmd-18-1333-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-1333-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
04 Mar 2025
Model description paper |
| 04 Mar 2025
| 04 Mar 2025
DiuSST: a conceptual model of diurnal warm layers for idealized atmospheric simulations with interactive sea surface temperature
Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
Department of Mathematics and Statistics, University of Reading, Reading, UK
Jan O. Haerter
Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
Integrated Modeling, Leibniz Center for Tropical Marine Research, Bremen, Germany
Physics and Earth Sciences, Constructor University Bremen, Bremen, Germany
Department of Physics and Astronomy, University of Potsdam, Potsdam, Germany
Romain Fiévet
Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
Scientific Computing Lab, Max Planck Institute for Meteorology, Hamburg, Germany
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Deepak Waman, Julian Meusel, Behrooz Keshtgar, Gabriella Wallentin, Christian Barthlott, Sachin Patade, Sonali Shete, Thara Prabhakaran, Romain Fievet, Declan Finney, Alan Blyth, and Corinna Hoose
EGUsphere, https://doi.org/10.5194/egusphere-2025-6129, https://doi.org/10.5194/egusphere-2025-6129, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
We use a weather model with aircraft and satellite data to study ice multiplication in thunderstorms across India, Mexico, Oklahoma, and the Atlantic. This process can create spurious ice particles in clouds, thereby increasing latent and radiative heating that strengthens storms and extends cloud lifetimes. These results improve our understanding of how small-scale ice processes influence large-scale storm behavior and rainfall patterns.
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Short summary
The daily cycle of sea surface temperature (SST) impacts clouds above the ocean and could influence the clustering of thunderstorms linked to extreme rainfall and hurricanes. However, daily SST variability is often poorly represented in modeling studies of how clouds cluster. We present a simple, wind-responsive model of upper-ocean temperature for use in atmospheric simulations. Evaluating the model against observations, we show that it performs significantly better than common slab models.
The daily cycle of sea surface temperature (SST) impacts clouds above the ocean and could...
