Data files for figures in "Sensitivity of extreme precipitation to climate change inferred using artificial intelligence shows high spatial variability" by Bird et al
The data files for figures in Sensitivity of extreme precipitation to climate change inferred using artificial intelligence shows high spatial variability by Bird, Bodeker and Clem. The files required to create each figure in the paper and in the supplementary material are described in a readme.txt...
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Zusammenfassung: | The data files for figures in Sensitivity of extreme precipitation to climate change inferred using artificial intelligence shows high spatial variability by Bird, Bodeker and Clem. The files required to create each figure in the paper and in the supplementary material are described in a readme.txt file which is also provided below:
Figure 1
The background image was obtained from the 'NaturalEarthFeature' function of the python Cartopy library (Figure1_background.png). The data required to generate the plots shown in Figure 1 are provided in the Figure1.nc file:
The latitudes and longitudes for the 10,000 training sites are provided in Training_location_latitudes and Training_location_longitudes variables.
The latitudes and longitudes for the 8 sites used to demonstrate the ability of the CNN to generalise spatially are provided in the Validation_location_latitudes and Validation_location_longitudes variables.
The block maxima at each of the 8 sites are provided in the Location_1year_block_maxima variable.
The GEV fits at 0°C are provided in the GEV_fit_at_0.0C variable.
The GEV fits at 1.5°C are provided in the GEV_fit_at_1.5C variable.
Figure 2
The 1-in-100 year precipitation fields for values of T'Global from 0.0°C to 2.0°C in 0.1°C increments are provided in netCDF files named Figure2_.nc where is either 'north_america', 'australia', 'europe', or 'new_zealand'.
The ratios of the 1-in-100 year precipitation depths with respect to the long-term (20 years or more) average of the annual maximum 1-day precipitation are provided in text files named Figure2_Precipitation_mean_block_max_.txt where is either 'north_america', 'australia', 'europe', or 'new_zealand'.
Figure 3
The cumulative distribution functions (CDFs) shown in the lower four panels are provided as text files listing the ARI in years and the daily total precipitation depth in mm. These files are named CDF__.dat where is the latitude and is the longitude. Files for each region are zipped into .7z files named Figure3_.7z where is either 'north_america', 'australia', 'europe', or 'new_zealand'.
The latitudes and longitudes for the upper panels can be inferred from the file names for each region.
Figure 4
The data for each panel are provided in a netCDF file named Figure4_.nc where is either 'north_america', 'australia', 'europe', or 'new_zealand'.
Figure 5
The data are provided as text files named Figure5_ where is either 'north_america', 'australia', 'europe', or 'new_zealand'. Each file lists |
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DOI: | 10.5281/zenodo.10038808 |