ASIS v1.0: an adaptive solver for the simulation of atmospheric chemistry

Daniel Cariolle 1, 2, 3 Philippe Moinat 2 Hubert Teyssèdre 3 Luc Giraud 4 Béatrice Josse 3 Franck Lefèvre 5
1 Météo France
2 CERFACS - Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique
3 CNRM - Centre national de recherches météorologiques
4 HiePACS - High-End Parallel Algorithms for Challenging Numerical Simulations
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
5 STRATO - LATMOS
LATMOS - Laboratoire Atmosphères, Milieux, Observations Spatiales
Abstract : This article reports on the development and tests of the adaptive semi-implicit scheme (ASIS) solver for the simulation of atmospheric chemistry. To solve the ordinary differential equation systems associated with the time evolution of the species concentrations, ASIS adopts a one-step linearized implicit scheme with specific treatments of the Ja-cobian of the chemical fluxes. It conserves mass and has a time-stepping module to control the accuracy of the numerical solution. In idealized box-model simulations, ASIS gives results similar to the higher-order implicit schemes derived from the Rosenbrock's and Gear's methods and requires less computation and run time at the moderate precision required for atmospheric applications. When implemented in the MOCAGE chemical transport model and the Laboratoire de Météorologie Dynamique Mars general circulation model, the ASIS solver performs well and reveals weaknesses and limitations of the original semi-implicit solvers used by these two models. ASIS can be easily adapted to various chemical schemes and further developments are foreseen to increase its computational efficiency, and to include the computation of the concentrations of the species in aqueous-phase in addition to gas-phase chemistry.
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Article dans une revue
Geoscientific Model Development, European Geosciences Union, 2017, 10, pp.1467 - 1485. 〈10.5194/gmd-10-1467-2017〉
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METEO | INSMI | UNIV-BORDEAUX | LATMOS | UPMC | UVSQ | TDS-MACS | LABRI | INRIA | INSU | UNIV-PARIS-SACLAY | INRIA2017

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Daniel Cariolle, Philippe Moinat, Hubert Teyssèdre, Luc Giraud, Béatrice Josse, et al.. ASIS v1.0: an adaptive solver for the simulation of atmospheric chemistry. Geoscientific Model Development, European Geosciences Union, 2017, 10, pp.1467 - 1485. 〈10.5194/gmd-10-1467-2017〉. 〈hal-01507392〉

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