DOI: 10.5281/zenodo.10767855
title: Dataset to reproduce the figures of "Observational constraint on a feedback from supercooled clouds reduces projected warming uncertainty"
title: Liquid Phase Ratio, temperature profiles and p4K SW cloud feedbacks from NASA-GISS-ModelE3
title: Liquid Phase Ratio and temperature profiles from 10 CMIP5 and 10 CMIP6 models
title: Liquid Phase Ratio from different observational datasets

description: These files, further described below, contain the necessary variables to reproduce the figures of Cesana et al. (2024), which are not publically available.

 

LPR_observations.zip: This file contains the liquid phase ratio of all the observational datasets used in Fig. 1b of the manuscript. All the information about these datasets can be found in Supplementary Note 1 of their paper.

LPR_CMIP5_CMIP6.zip: This file contains the liquid phase ratio frequency (using a lidar simulator) and mass (raw output of the model from the ESGF website) of all the 10 CMIP6 and 10 CMIP5 models used in Fig. 1a and Fig. 2. All the information is included in the Methods. MIROC6 data were provided by Takuro Michibata (Okayama University) and Tomoo Ogura (National Institute for Environmental Studies). 

LPR_NASA-GISS-ModelE3.zip: This file contains the liquid phase ratio frequency (using a lidar simulator) and mass (raw output of the model) of all the six ModelE3 configurations used in Fig. 3 and 4. All the information is included in the Methods  and in Cesana et al. (2021).

CESM2bugfix_lidar_outputs.zip: This file contains the liquid and ice cloud fractions using the lidar simulator for an AMIP simulation of CESM2, used in Fig. 2 and 3. Compared to the official output, a bugfix in the lidar simulator has been fixed to avoid snow particles to be accounted as liquid particles. These outputs have been provided by Jennifer Kay from University of Colorado Boulder.

NASA-GISS-ModelE3_Cloud_Feedbacks.zip: This file contains the cloud feedbacks derived from AMIP and AMIP-p4K runs (2007-2012) using the Zelinka et al. (2016) cloud radiative kernels method, which is used in Fig. 4. The full description can be found in the Methods.

CMIP6_Temperature_Profiles.zip: This file contains the temperature profiles of six CMIP6 models (CanESM5, CESM2, CNRM-CM6-1, GFDL-CM4, IPSL-CM6A-LR, MRI-ESM2-0) for AMIP and AMIP-p4K runs (2007-2014), which are used in Fig. 5 of the paper. The full description can be found in the Methods. The CNRM-CM6-1 outputs have been provided by Romain Roehrig from CNRM. The IPSL-CM6A-LR outputs have been provided by Artem Feolilov and Helene Chepfer from LMD. 

NASA-GISS-ModelE3_Temperature_Profiles.zip: This file contains the temperature profiles of each of the six ModelE3 configurations (Tun2, Tun1, Tun3, Tun4, Tun5 and Phys) for AMIP and AMIP-p4K runs (2007-2012), which are used in Fig. 5 of the paper. The full description can be found in the Methods and in Cesana et al. (2021).

 

References

Cesana, G.V., A.S. Ackerman, A.M. Fridlind, I. Silber, and M. Kelley, 2021: Snow reconciles observed and simulated phase partitioning and doubles cloud feedback. Geophys. Res. Lett., 48, no. 20, e2021GL094876, doi:10.1029/2021GL094876.

Cesana, G.V. et al., 2024: Observational constraint on a feedback from supercooled clouds reduces projected warming uncertainty. Commun Earth Environ, accepted.