Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1467-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1467-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Climat, Environnement, Couplages et Incertitudes, UMR5318 CNRS/Cerfacs, Toulouse, France
Météo-France, Toulouse, France
Philippe Moinat
Climat, Environnement, Couplages et Incertitudes, UMR5318 CNRS/Cerfacs, Toulouse, France
Hubert Teyssèdre
Centre National de Recherches Météorologiques, UMR3589 CNRS/Météo-France, Toulouse, France
deceased, April 2013
Luc Giraud
Institut National de Recherche en Informatique et en Automatique, Talence, France
Béatrice Josse
Centre National de Recherches Météorologiques, UMR3589 CNRS/Météo-France, Toulouse, France
Franck Lefèvre
Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS/UPMC/UVSQ, Paris, France
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17 citations as recorded by crossref.
- An improved version of the piecewise parabolic method advection scheme: description and performance assessment in a bidimensional test case with stiff chemistry in toyCTM v1.0.1 S. Mailler et al. 10.5194/gmd-16-7509-2023
- Quasi-Newton methods for atmospheric chemistry simulations: implementation in UKCA UM vn10.8 E. Esentürk et al. 10.5194/gmd-11-3089-2018
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- The impact of biomass burning on upper tropospheric carbon monoxide: a study using MOCAGE global model and IAGOS airborne data M. Cussac et al. 10.5194/acp-20-9393-2020
- Modelling of Energy-Dependent Electron Interactions in the Earth’s Mesosphere L. Campbell & M. Brunger 10.3390/atmos14040611
- Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1) V. Huijnen et al. 10.5194/gmd-12-1725-2019
- Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10 C. Keller & M. Evans 10.5194/gmd-12-1209-2019
- Photochemical depletion of heavy CO isotopes in the Martian atmosphere J. Alday et al. 10.1038/s41550-023-01974-2
- Impacts of Heterogeneous Chemistry on Vertical Profiles of Martian Ozone M. Brown et al. 10.1029/2022JE007346
- Inclusion of Electron Interactions by Rate Equations in Chemical Models L. Campbell et al. 10.3390/atoms10020062
- WITHDRAWN: Climatology of the ozone vertical distribution on Mars from SPICAM/MEX UV occultations A. Määttänen et al. 10.1016/j.icarus.2019.113428
- Three-dimensional modeling of Venus photochemistry and clouds A. Stolzenbach et al. 10.1016/j.icarus.2023.115447
- A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes J. Zheng et al. 10.1016/j.atmosenv.2020.117431
- Relationship Between the Ozone and Water Vapor Columns on Mars as Observed by SPICAM and Calculated by a Global Climate Model F. Lefèvre et al. 10.1029/2021JE006838
- Rapid Adaptive Optimization Model for Atmospheric Chemistry (ROMAC) v1.0 J. Li et al. 10.5194/gmd-16-6049-2023
Saved (final revised paper)
Latest update: 02 Apr 2025
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.
This article reports on the development and tests of the adaptive semi-implicit scheme (ASIS)...
