Extreme events and the solar cycle

Introduction

This repository provides provides the data processing and visualisation for the submitted article "Extreme space-weather events and the solar cycle" by Owens et al. Solar Physics, 2021

Installation

All code is written in Python 3.7.3 and requires numpy, datetime, scipy, matplotlib, numba and pandas, datetime and os

The simplest way to work with HUXt in conda is to create its own environment. With the anaconda prompt, in the root directory of HUXt, this can be done as:

conda env create -f environment.yml conda activate aaH

All analysis and figures can be generated by running

code/ExtremeEventsSolarCycle.py

Contact

Please contact Mathew Owens.

Citation

Please cite this software as Owens, M.J., Lockwood, M., Barnard, L.A. et al. Extreme Space-Weather Events and the Solar Cycle. Sol Phys 296, 82 (2021). https://doi.org/10.1007/s11207-021-01831-3