This repository provides an updated version of the IPCC-WGI reference regions [1], which incorporates a refinement of the definition of the oceanic regions as proposed in the article 'Regional Scaling of Sea Surface Temperature with Global Warming Levels in the CMIP6 Ensemble' by Milovac et al. It also contains materials, including notebooks, for the reproducibility of the results presented in the article.
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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.
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The conda-environment folder contains the
environment.ymlfile with the recipe of the necessary software for running the reproducibility notebooks available in this repository. To obtain conda environment namedsst-gwlrun 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:
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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.
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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
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calculate_global_statistics.ipynb calculates slope, p value, standard deviation of the slope, and correlation coefficients for the linear and exponential fit
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calculate_regional_gwls.ipynb calculates slope, p value, standard deviation of the slope, and correlation coefficients for the linear and exponential fit the IPCC-WGI reference regions [1] over sea surfaces and sea biomes.
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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.
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publication_figures.ipynb reproduces all the figure from the article.
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In data folder small size files are located:
- data/masks contains masking files of land-sea contrast and those used for different regional analyses at different grid resolutions.
- data/IPCC-reference-regions contains shapefiles (*.shp) of the polygons defining the regions used in the Sixth Assessment Report of the IPCC. This data was taken from the source repository https://github.com/IPCC-WG1/Atlas.
- data/data_info contains files with the lists of regional names and models used in both high- and low- resolution analyses.
All the heavier data (i.e. annual and seasonal, global and regional means) necessary to run notebooks 1, 2, and 5, and also output from notebooks 3 and 4 are available on Zenodo repository.
This work is licensed under a Creative Commons Attribution 4.0 International License.
[1] Iturbide, M., Gutiérrez, J. M., Alves, L. M., Bedia, J., Cerezo-Mota, R., Cimadevilla, E., Cofiño, A. S., Di Luca, A., Faria, S. H., Gorodetskaya, I. V., Hauser, M., Herrera, S., Hennessy, K., Hewitt, H. T., Jones, R. G., Krakovska, S., Manzanas, R., Martínez-Castro, D., Narisma, G. T., Nurhati, I. S., Pinto, I., Seneviratne, S. I., van den Hurk, B., and Vera, C. S.: An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets, Earth Syst. Sci. Data, 12, 2959–2970, https://doi.org/10.5194/essd-12-2959-2020, 2020.