Large ensemble assessment of Arctic SPV

A. Kuchar, M. Öhlert, R. Eichinger, Ch. Jacobi

In review in WCD.

Code used to process and visualise the model and other data outputs in order to reproduce figures in the manuscript. Model data are available via the Multi-Model Large Ensemble Archive (MMLEA) provided by the US CLIVAR (Climate and Ocean - Variability, Predictability, and Change) working group on large ensembles (Deser et al., 2020) as well as ensembles from the Coupled Model Intercomparison Project 6 (CMIP6; Eyring et al., 2016).

All datasets already preprocessed can be found here.

Notebooks for each individual figure as well as for two data tables are in the code/ directory, while the figures themselves are in the plots/ directory.

Figures

#	Figure	Notebook / Script	Dependencies
1	Geopotential height climatology at 10 hPa	gh10_visualization.ipynb
2	ROC for displacements and splits in CanESM5	ROC_values.ipynb
3	Rank histograms of aspect ratio at 10 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
4	Rank histograms of centroid latitude at 10 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
5	Rank histograms of centroid longitude at 10 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
6	Rank histograms of kurtosis at 10 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
7	Rank histograms of objective area at 10 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
8	AOC for displacement and split events	roc_diagrams.py
9	Scatter plots of modal centroid latitude and frequency of displacement SSWs, and modal aspect ratio and frequency of split SSWs	SSW_frequency_vs_mode_Hallet2021_MPI-ESMs-final.ipynb	ERA5_SSW.ipynb

Tables

#	Figure	Notebook	Dependencies
1	Analyzed climate model ensembles from CMIP5 and CMIP6
S1	Summary table including metrics: bias, spread and AOC	ROC_values.ipynb	rank_histograms.py
S2	List of SSWs in ERA5	ERA5_SSWs_export_latex.ipynb	ERA5_SSW.ipynb, get_ERA5_moments-netcdf.ipynb

Supplementary figures

#	Figure	Notebook / Script	Dependencies
S1	ROC curves for displacement events	roc_diagrams_plots.py	rank_histograms.py
S2	ROC curves for split events	roc_diagrams_plots.py	rank_histograms.py
S3	Rank histograms of aspect ratio at 50 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S4	Rank histograms of centroid latitude at 50 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S5	Rank histograms of centroid longitude at 50 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S6	Rank histograms of kurtosis at 50 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S7	Rank histograms of objective area at 50 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S8	Rank histograms of aspect ratio at 100 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S9	Rank histograms of centroid latitude at 100 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S10	Rank histograms of centroid longitude at 100 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S11	Rank histograms of kurtosis at 100 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py
S12	Rank histograms of objective area at 100 hPa	summary_plots.py	rank_histograms.py, rank_frequency_test.py, bias_spread.py