RCEMIP

** This repository is currently being built **

Python scripts are provided that were used for the analysis in the references listed below.

References

Stauffer, C.L. and A.A. Wing (2022): Properties, Changes, and Controls of Deep-Convecting Clouds in Radiative-Convective Equilibrium, J. Adv. Model. Earth Syst., in review.

Wing, A.A., C.L. Stauffer, T. Becker, K.A. Reed, M.-S. Ahn, N.P. Arnold, S. Bony, M. Branson, G.H. Bryan, J.-P. Chaboureau, S.R. de Roode, K. Gayatri, C. Hohenegger, I.-K. Hu, F. Jansson, T.R. Jones, M. Khairoutdinov, D. Kim, Z.K. Martin, S. Matsugishi, B. Medeiros, H. Miura, Y. Moon, S.K. Müller, T. Ohno, M. Popp, T. Prabhakaran, D. Randall, R. Rios-Berrios, N. Rochetin, R. Roehrig, D.M. Romps, J.H. Ruppert, Jr., M. Satoh, L.G. Silvers, M.S. Singh, B. Stevens, L. Tomassini, C.C. van Heerwaarden, S. Wang, and M. Zhao (2020): Clouds and convective self-aggregation in a multi-model ensemble of radiative-convective equilibrium simulations, J. Adv. Model. Earth Syst., 12, e2020MS002138, doi:10.1029/2020MS002138.

Input, Output, and Examples

The below table has the lcoation of the input data, output data, and example usage of the script using Jupyter Notebook:

Code	Input Data	Output Data	Example Usage
cloudfraction.py	DKRZ 3D model output	Cloud Fraction Profiles	cloudfraction.ipynb
conditionalstats.py	DKRZ 3D model output	Conditional Statistics Profiles	conditionalstats.ipynb
divergence.py	DKRZ 1D model output	Radiatively-Driven Divergence Profiles	divergence.ipynb
midlevelscaling.py	Conditional Statistics and Mid-level Scaling Profiles	Mid-level Scaling Profiles	midlevel.ipynb

Figures

Figures generated by the Notebooks are located in the images directory and Mid-level Scaling Profiles.

Contact

Please feel free to contact me at cls14b@fsu.edu if you have any questions, concerns, or suggestions related to the RCEMIP data and its implementation!