Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 5
Articles | Volume 13, issue 5
https://doi.org/10.5194/gmd-13-2475-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2475-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 5
Development and technical paper
 | 
28 May 2020
Development and technical paper |  | 28 May 2020

An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0

Lu Shen, Daniel J. Jacob, Mauricio Santillana, Xuan Wang, and Wei Chen

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Latest update: 13 Dec 2024
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Short summary
Chemical mechanisms in air quality models tend to get more complicated with time, reflecting both increasing knowledge and the need for greater scope. This objectively improves the models but increases the computational burden. In this work, we present an approach that can reduce the computational cost of chemical integration by 30–40 % while maintaining an accuracy better than 1 %. It retains the complexity of the full mechanism where it is needed and preserves full diagnostic information.
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