Zenodo repository for : Labe, Z.M., T.L Delworth, N.C. Johnson, and W.F. Cooke. Exploring a data-driven approach to identifying regions of change associated with future climate scenarios. (submitted) Please also cite and refer to: Delworth, T. L., Cooke, W. F., Adcroft, A., Bushuk, M., Chen, J. H., Dunne, K. A., ... & Zhao, M. (2020). SPEAR: The next generation GFDL modeling system for seasonal to multidecadal prediction and projection. Journal of Advances in Modeling Earth Systems, 12(3), e2019MS001895. https://doi.org/10.1029/2019MS001895 Additional data is available at: https://www.gfdl.noaa.gov/spear_large_ensembles/ and https://nomads.gfdl.noaa.gov/

Zenodo repository includes: Python code for exploratory data analysis and neural network framework Data for SPEAR_MED simulations of the natural forcing scenario, SSP1-1.9, SSP2-4.5, SSP5-3.4OS, and SSP5-3.4OS_10ye. See https://www.gfdl.noaa.gov/spear/ Files in netCDF4 format Variables include near-surface air temperature (t_ref, 2 m) and total precipitation rate (precip) Annually-averaged time mean for 2011-2100 (2011-2014 is from the historical SPEAR_MED simulation) Global spatial maps at 0.5° horizontal resolution (regular grid; 360x576, c192) 30 ensemble members