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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
doi:10.5194/gmd-2016-281
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Model description paper
21 Nov 2016
Review status
This discussion paper is under review for the journal Geoscientific Model Development (GMD).
ASIS v1.0: an adaptative solver for the simulation of atmospheric chemistry
Daniel Cariolle1,2, Philippe Moinat1, Hubert Teyssèdre3,†, Luc Giraud4, Béatrice Josse3, and Franck Lefèvre5 1Climat, Environnement, Couplages et Incertitudes, UMR5318 CNRS/Cerfacs, Toulouse, France
2Météo-France, Toulouse, France
3Centre National de Recherches Météorologiques, UMR3589 CNRS/Météo-France, Toulouse, France
4Institut National de Recherche en Informatique et en Automatique, Talence, France
5Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS/UPMC/UVSQ, Paris, France
deceased, April 2013
Abstract. This article reports on the development and tests of the Adaptative 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 Jacobian 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. When implemented in the MOCAGE CTM and the LMD Mars GCM 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.

Citation: Cariolle, D., Moinat, P., Teyssèdre, H., Giraud, L., Josse, B., and Lefèvre, F.: ASIS v1.0: an adaptative solver for the simulation of atmospheric chemistry, Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-281, in review, 2016.
Daniel Cariolle et al.
Daniel Cariolle et al.
Daniel Cariolle et al.

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This article reports on the development and tests of the Adaptative Semi-Implicit Scheme (ASIS) solver for the simulation of atmospheric chemistry. To solve the Ordinary Differential Equations associated with the time evolution of the species concentrations, ASIS adopts a one step linearized implicit scheme. It conserves mass and has a time stepping module to control the accuracy of the numerical solution. ASIS was found competitive in terms of computation cost against higher order schemes.
This article reports on the development and tests of the Adaptative Semi-Implicit Scheme (ASIS)...
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