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README for DATASET "Data from: The overlooked role of the stratosphere under a solar constant reduction"
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This readme file describes the dataset used in the following GRL paper:  Bednarz, E. M., Visioni, D., Banerjee, A., Braesicke, P., Kravitz, B., MacMartin, D. G.: The overlooked role of the stratosphere under a solar constant reduction, Geophysical Research Letters (2022) https://doi.org/10.1029/2022GL098773

Please cite this dataset as: Bednarz, E. M., Visioni D. (2022) Data from: The overlooked role of the stratosphere under a solar constant reduction, Geophysical Research Letters [Dataset] Cornell University eCommons Digital Repository. https://doi.org/10.7298/b9ws-jj47

This dataset is shared under a Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). The material can be shared and built upon, but attribution to the original authors and a statement of changes made is required.

All files in the dataset are NetCDF (Network Common Data Form) and can be easily read in common programming languages (python, Matlab, R, NCL, C++, and others).
Data was produced with the climate model CESM2-WACCM6 for two solar dimming (SD) simulations with different temperature goals (1x1 or 3x3). The data for the Transformed Eulerian Means DELF (EP flux divergence) and FZ (vertical component of EP flux) variables was calculated offline using model output.

The names of the experiments have been changed during the writing of the paper, and in the paper the SD1x1 and SD3x3 experiments are referred to as CESMsolar and CESMsolar_grad, respectively.

The single files are described as follow: 
[Variable name]_[Simulation name]_[ensemble member].nc
and contain the variable (with a short description) and the spatial (i.e. longitude, latitude and pressure levels) and temporal coordinates. All associated coordinates are described in each file.

The variables shared are:
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Variable name		dimensions		long name						units		folder		
PSL			2D-map			sea level pressure					Pa		SLP
QRS_TOT			3D-zm			Merged SW heating: 
						QRS+QCP+QRS_EUV+QRS_CO2NIR+QRS_AUR+QTHERMAL		K/s 		QRS_TOT

V			3D-zm			meridional wind						m/s		V
U			3D-zm			zonal wind						m/s		U
T			3D-zm			temperature						K		T
FZ			3D-zm			vertical component of EP flux				kg/s2		FZ
DELF			3D-zm			EP flux divergence					m/s2		DELF


The remainder of the data used in the paper can be found as described below:
The GeoMIP G6 data are available from https://esgf-node.llnl.gov/search/cmip6/ . CESMsulfur and CESM RCP8.5 data are available from https://doi.org/10.5065/D6JH3JXX . The remainder of the CESMsolar and CESMsolar_grad data is available from https://doi.org/10.7298/z8c9-3p43.

Acknowledgments
We would like to acknowledge high-performance computing support from Cheyenne (https://doi.org/10.5065/ D6RX99HX) provided by NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation.
Support was provided by the Atkinson Center for a Sustainable Future at Cornell University for EMB, DV and DGM; and by the National Science Foundation through agreement CBET-1818759 for DV and DGM. Support for BK was provided in part by the National Science Foundation through agreement CBET-1931641, the Indiana University Environmental Resilience Institute, and the Prepared for Environmental Change Grand Challenge initiative.