Constraining the models' response of tropical clouds to SST forcings using CALIPSO observations

Gregory Cesana, Tony Del Genio, Andrew Ackerman, Guosheng Liu, Ziad S. Haddad
2018 Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VII  
Here we present preliminary results from the analysis of the low cloud cover (LCC) and cloud radiative effect (CRE) interannual changes in response to sea surface temperature (SST) forcings in two GISS climate models, and 12 other climate models. We further classify them as a function of their ability to reproduce the vertical structure of the cloud response to SST change against 10 years of CALIPSO observations: "the constrained models, which match the observation constraint, and the
more » ... ned models". The constrained models replicate the observed interannual LCC change particularly well (∆LCC con =-3.49 ±1.01 %/K vs. ∆LCC obs =-3.59 ±0.28 %/K) as opposed to the unconstrained models, which largely underestimate it (∆LCC unc = -1.32 ± 1.28 %/K). As a result, the amount of short-wave warming simulated by the constrained models (∆CRE con =2.60 ±1.13 W/m 2 /K) is in better agreement with the observations (∆CRE obs =3.05 ±0.28 W/m 2 /K) than the unconstrained models (∆CRE con =0.87 ±2.63 W/m 2 /K). Depending on the type of low cloud, the observed relationship between cloud/radiation and surface temperature varies. Over the stratocumulus regions, increasing SSTs generate higher cloud top height along with a large decrease of the cloud fraction below as opposed to a slight decrease of the cloud fraction at each level over the trade cumulus regions. Our results suggest that the models must generate sustainable stratocumulus decks and moist processes in the planetary boundary layer to reproduce these observed features. Future work will focus on defining a method to objectively discriminate these cloud types that can be applied consistently in both the observations and the models.
doi:10.1117/12.2324800 fatcat:qavpplfqivcjlhr5v7t7eetayy