Articles | Volume 9, issue 11
Geosci. Model Dev., 9, 3961–3974, 2016
Geosci. Model Dev., 9, 3961–3974, 2016

Model evaluation paper 08 Nov 2016

Model evaluation paper | 08 Nov 2016

Evaluation of Monte Carlo tools for high energy atmospheric physics

Casper Rutjes et al.

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Cited articles

Adachi, T., Takahashi, Y., Ohya, H., Tsuchiya, F., Yamashita, K., Yamamoto, M., and Hashiguchi, H.: Monitoring of Lightning Activity in Southeast Asia: Scientific Objectives and Strategies, Kyoto Working Papers on Area Studies: G-COE Series, 2008.
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Andreo, P.: Monte Carlo techniques in medical radiation physics, Phys. Med. Biol., 36, 861,, 1991.
Babich, L., Donskoy, E., Kutsyk, I., and Roussel-Dupré, R.: The feedback mechanism of runaway air breakdown, Geophys. Res. Lett., 32, L09809,, 2005.
Basaglia, T., Bell, Z., Dressendorfer, P., Larkin, A., and Pia, M.: Writing software or writing scientific articles?, in: Nuclear Science Symposium Conference Record, 2007, NSS'07, IEEE, Vol. 1, 219–226, IEEE, 2007.
Short summary
High energy atmospheric physics includes terrestrial gamma-ray flashes, electron–positron beams and gamma-ray glows from thunderstorms. It requires appropriate models for the interaction of energetic particles with the atmosphere. We benchmark general purpose and custom-made codes against each other. We focus on basic tests, namely on the evolution of particles through air in the absence of electric and magnetic fields, providing a first benchmark for present and future custom-made codes.