Title: CAMxRunner: a modular framework for efficient chemical transport modelling

Authors: Daniel C. Oderbolz; Iakovos Barmpadimos; Sebnem Aksoyoglu

Addresses: Laboratory of Atmospheric Chemistry, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland ' Laboratory of Atmospheric Chemistry, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland ' Laboratory of Atmospheric Chemistry, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland

Abstract: Since many political decisions concerning air quality are based on models, modelling reproducibility and quality assurance are of interest to a wide audience. We developed a modular computer program called CAMxRunner to address this need. CAMxRunner automates runs of the Comprehensive Air quality Model with extensions (CAMx) including pre- and post-processing. Except for the preparation of a configuration file, manual steps are eliminated. CAMxRunner can break the sequential day-by-day structure of the classical approach and allows for parallel pre- and post-processing, speeding up the process. Using this approach, we could speed up a model run by a factor of two.

Keywords: CAMxRunner; air quality modelling; CTM; chemical transport models; CAMx; standardisation; automation; reproducibility; preprocessing; postprocessing; pre-processing; post-processing; parallelisation; air pollution; dispersion modelling.

DOI: 10.1504/IJEP.2012.049658

International Journal of Environment and Pollution, 2012 Vol.48 No.1/2/3/4, pp.117 - 125

Published online: 19 Nov 2014 *

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