Articles | Volume 20, issue 11
Atmos. Chem. Phys., 20, 6607–6630, 2020
Atmos. Chem. Phys., 20, 6607–6630, 2020

Research article 05 Jun 2020

Research article | 05 Jun 2020

Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations

Peter Kuma et al.

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Cited articles

Alexander, S. and Protat, A.: Cloud properties observed from the surface and by satellite at the northern edge of the Southern Ocean, J. Geophys. Res.-Atmos., 123, 443–456,, 2018. a
Bastin, S., Chiriaco, M., and Drobinski, P.: Control of radiation and evaporation on temperature variability in a WRF regional climate simulation: comparison with colocated long term ground based observations near Paris, Clim. Dynam., 51, 985–1003,, 2018. a
Bodas-Salcedo, A.: COSP user's manual: Version 1.3.1, Met Office Hadley Centre, Exeter, UK, 2010. a
Bodas-Salcedo, A. and Swales, D.: CFMIP Observation Simulator Package, available at: (last access: 2 June 2020), 2018. a
Bodas-Salcedo, A., Webb, M., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S., Zhang, Y., Marchand, R., Haynes, J., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043,, 2011. a, b
Short summary
We evaluate clouds over the Southern Ocean in the climate model HadGEM3 and reanalysis MERRA-2 using ship-based ceilometer and radiosonde observations. We find the models underestimate cloud cover by 18–25 %, with clouds below 2 km dominant in reality but lacking in the models. We find a strong link between clouds, atmospheric stability and sea surface temperature in observations but not in the models, implying that sub-grid processes do not generate enough cloud in response to these conditions.
Final-revised paper