The Physical-climate-assessment-reference-regions-v4.1 folder contains the shapefile that incorporates refinements to the oceanic regions originally defined in IPCC-WGI-reference-regions-v4 [1]. It also includes a GeoJSON version and the coordinates of the polygon vertices. Both the shapefile and the GeoJSON have a resolution of 0.44 degrees between the coordinates forming the polygons. The conda-environment folder contains the environment.yml file with the recipe of the necessary software for running the reproducibility notebooks available in this repository. To obtain a conda environment named sst-gwl run the following: conda env create -f environment.yml The notebooks folder provides the notebooks that were used to obtain necessary results, and then to reproduce the figures given in the article. Six scripts can be found: calculate_global_gwls.ipynb calculates global mean differences of sea surface temperature (SST) and sea air temperature (STAS) with respect to global mean temperature, and GWL for each of the 26 global climate model analyzed. calculate_regional_gwls.ipynb calculates regional mean differences (for IPCC-WGI oceanic reference regions [1] and over ocean biomes) of SST and STAS with respect to global mean temperature, and GWL for each of the 26 global climate model calculate_global_statistics.ipynb calculates slope, p value, standard deviation of the slope, and correlation coefficients for the linear and exponential fit calculate_regional_gwls.ipynb calculates slope, p value, standard deviation of the slope, and correlation coefficients for the linear and exponential fit of the IPCC-WGI reference regions [1] over sea surfaces and sea biomes. calculate_spatial_statistics.ipynb calculates slope, p value, standard deviation of the slope, and correlation coefficients for the linear and exponential fit per each grid cell for the spatial analysis. publication_figures.ipynb reproduces all the figure from the article. In data fol

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