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 .
#
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
#
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