README for DATASET: “Data from: High-latitude stratospheric aerosol geoengineering may be more effective if injection is limited to spring”

This readme document describes the dataset used in the GRL Paper: Lee, W. R., MacMartin, D. G., Visioni, D., & Kravitz, B. (2021). High?latitude stratospheric aerosol geoengineering can be more effective if injection is limited to spring. Geophysical Research Letters, 48, e2021GL092696. https://doi.org/10.1029/2021GL092696 

Please cite this dataset as: Lee, W. R., MacMartin, D. G., Visioni, D., & Kravitz, B. (2021). Data from: High-latitude stratospheric aerosol geoengineering may be more effective if injection is limited to spring. [Dataset]. eCommons Digital Repository. https://doi.org/10.7298/d557-db75. 

Primary Dataset Contact: 
Walker Raymond Lee, wl644@cornell.edu 

Alternate Dataset Contact:
Douglas MacMartin, dgm224@cornell.edu

This dataset is shared under an 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 easily be read in common programming languages (python, Matlab, R, NCL, C++, and others).

The single files are named as follows:
[Variable name] [Simulation name]_12Tg.001_map_monthly.nc and contain the variable (with a short description) and the spatial and temporal coordinates (i.e. latitude, longitude, and time). All associated coordinates are described in each file. 

The variables shared are (Variable name, dimensions, long name, units)
AODViSstdn, 2D map, Stratospheric aerosol optical depth 550nm day night, unitless
ICEFRAC, 2D map, Fraction of surface area covered by sea ice, unitless
TREFHT, 2D map, Reference height temperature, K

Data from files labeled “INJMAM60N,” INJMAM67N,” and “INJANN60N” spans the 2030-2039 period.
Data from files labeled “INJMAN75N,” “INJAM60N,” and “INJAMJ60N” spans the 2030-2034 period.

Simulation names in the names of files refer to the following simulations in the GRL paper:
INJMAM60N: MAM-60
INJANN60N: ANN-60
INJMAM67N: MAM-67.5
INJMAM75N: MAM-75
INJAM60N: AM-60
INJAMJ60N: AMJ-60

Acknowledgments
We would like to acknowledge high-performance computing support from Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the National Science Foundation. Support for WL and DM was provided by the National Science Foundation through agreement CBET?1818759. Support for DV was provided by the Atkinson Center for a Sustainable Future at Cornell University. Support for BK was provided in part by the National Sciences Foundation through agreement CBET-1931641, the Indiana University Environmental Resilience Institute, and the Prepared for Environmental Change Grand Challenge initiative. The Pacific Northwest National Laboratory is operated for the U.S. Department of Energy by Battelle Memorial Institute under contract DE?AC05?76RL01830. The CESM project is supported primarily by the National Science Foundation. This work was supported by the National Center for Atmospheric Research, which is a major facility sponsored by the National Science Foundation under Cooperative Agreement No. 1852977.