Analysis for "Dynamical Precursors for Statistical Prediction of Stratospheric Sudden Warming Events" by M. Jucker and T. Reichler

Published: 25 September 2018| Version 2 | DOI: 10.17632/ffhv8kn7m5.2
Contributor:
Martin Jucker

Description

Starting from a coupled General Circulation Model (GCM) simulation of 9,990 years, this data gives the occurrence dates of Stratospheric Sudden Warmings (SSWs) within the data in data/NH/CM2p1_sswt_CP.nc. The SSW definition follows Charlton & Polvani (2007). Then, data/NH/CM2p1_dqdy_ABC_30.0hPa.nc gives the time series of meridional potential vorticity gradient at 30hPa in the stratosphere. data/CM2p1_f2_100hPa.nc contains the time series of the vertical component of Eliassen-Palm flux at 100hPa. Both quantities are standardized relative to climatological day of the year mean and standard deviation. This data is used in Jucker & Reichler (2018) to investigate the feasibility of constructing predictors for SSW occurrence in a statistical way. The analysis script SSWprobs.ipynb performs the analysis and creates the relevant figures from the paper.

Files

Steps to reproduce

Needed python packages are: - xarray - numpy - scipy - parmap - matplotlib - pandas - glob - aostools (included) - jupyter (ipython) Download file tree as is, and run >jupyter notebook SSWprobs.ipynb& Then execute the script to obtain the figures.