Articles | Volume 10, issue 4
Model description paper
11 Apr 2017
Model description paper |  | 11 Apr 2017

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

Daniel Cariolle, Philippe Moinat, Hubert Teyssèdre, Luc Giraud, Béatrice Josse, and Franck Lefèvre

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Cited articles

Ashino, R., Nagase, M., and Vaillancourt, R.: Behind and beyond the MATLAB ODE suite, Comput. Math., 40, 491–512, 2000.
Audiffren, N., Renard, M., Buisson, E., and Chaumerliac, N.: Deviations from the Henry's law equilibrium during cloud events: a numerical approach of the mass transfer between phases and specific numerical effects, Atmos. Res., 49, 139–161, 1998.
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B., Fiore, A. M., Li, Q., Liu, H., Mickley, L. J., and Schultz, M.: Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, J. Geophys. Res., 106, 23073–23096, 2001.
Carver, G. D. and Stott, P. A.: IMPACT: an implicit time integration scheme for chemical species and families, Ann. Geophys., 18, 337–346,, 2000.
Crassier, V., Suh, K., Tulet, P., and Rosset, R.: Development of a reduced chemical scheme for use in mesoscale meteorological models, Atmos. Environ., 34, 2633–2644, 2000.
Short summary
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 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.