Articles | Volume 11, issue 11
Geosci. Model Dev., 11, 4515–4535, 2018
https://doi.org/10.5194/gmd-11-4515-2018
Geosci. Model Dev., 11, 4515–4535, 2018
https://doi.org/10.5194/gmd-11-4515-2018

Model evaluation paper 13 Nov 2018

Model evaluation paper | 13 Nov 2018

Evaluation of Monte Carlo tools for high-energy atmospheric physics II: relativistic runaway electron avalanches

David Sarria et al.

Data sets

Relativistic Runaway Ionization Fronts A. Luque https://doi.org/10.1103/PhysRevLett.112.045003

Dataset used in the Article ``Evaluation of Monte Carlo tools for high-energy atmospheric physics II: relativistic runaway electron avalanches'' (Version 1) D. Sarria https://doi.org/10.5281/zenodo.1475209

MATLAB scripts for processing the dataset ``Full RREA Dataset'' (Version 1) D. Sarria https://doi.org/10.5281/zenodo.1475245

Probability Evaluation of Relativistic Runaway Electron Avalanches (RREA) (GEANT4 based source code) D. Sarria https://doi.org/10.5281/zenodo.1475231

Characterization of Relativistic Runaway Electron Avalanches (RREA) (GEANT4 based source code) (Version 1) D. Sarria https://doi.org/10.5281/zenodo.1475220

Download
Short summary
We evaluate three models (Geant4, REAM, GRRR) used in the field of high-energy atmospheric physics that are able to simulate relativistic runaway electron avalanches. Several models have been used by the community, but there was, up until now, no study evaluating their consistency in this context. We conclude that there are no major differences to report, and we discuss minor ones. We also provide advice on how to properly set up the general purpose code (Geant4) in this context.