This code performs the analysis of Zelinka et al. (2022). It computes GCM cloud feedback components and compares them to the expert-assessed values from Sherwood et al. (2020).
To use, follow these steps:
-
Install CDAT via conda following these instructions
-
Activate this environment:
conda activate cdat
- Clone this repo:
git clone https://github.com/mzelinka/assessed-cloud-fbks.git
-
cd to assessed-cloud-fbks/code/
-
In main.py, update the "User Input" section so it points to your model's amip and amip-p4K files.
-
Run the code:
python main.py
- Inspect the generated figures and tables in the /figures/ directory.
-
Zelinka et al. (2022): Evaluating climate models’ cloud feedbacks against expert judgement, J. Geophys. Res., 127, e2021JD035198, doi:10.1029/2021JD035198.
-
Sherwood et al. (2020): A combined assessment of Earth’s climate sensitivity, Rev. Geophys., 58, e2019RG000678, doi:10.1029/2019RG000678.