Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 3
Articles | Volume 19, issue 3
https://doi.org/10.5194/gmd-19-1281-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-1281-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 3
Model description paper
 | 
11 Feb 2026
Model description paper |  | 11 Feb 2026

TChem-atm (v2.0.0): scalable performance-portable multiphase atmospheric chemistry

Oscar H. Díaz-Ibarra, Samuel G. Frederick, Jeffrey H. Curtis, Zachary D'Aquino, Peter A. Bosler, Lekha Patel, Cosmin Safta, Matthew West, and Nicole Riemer

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Alvanos, M. and Christoudias, T.: GPU-accelerated atmospheric chemical kinetics in the ECHAM/MESSy (EMAC) Earth system model (version 2.52), Geoscientific Model Development, 10, 3679–3693, https://doi.org/10.5194/gmd-10-3679-2017, 2017. a
Appel, K. W., Bash, J. O., Fahey, K. M., Foley, K. M., Gilliam, R. C., Hogrefe, C., Hutzell, W. T., Kang, D., Mathur, R., Murphy, B. N., Napelenok, S. L., Nolte, C. G., Pleim, J. E., Pouliot, G. A., Pye, H. O. T., Ran, L., Roselle, S. J., Sarwar, G., Schwede, D. B., Sidi, F. I., Spero, T. L., and Wong, D. C.: The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation, Geoscientific Model Development, 14, 2867–2897, https://doi.org/10.5194/gmd-14-2867-2021, 2021. a
Balos, C. J., Gardner, D. J., Woodward, C. S., and Reynolds, D. R.: Enabling GPU accelerated computing in the SUNDIALS time integration library, Parallel Computing, 108, 102836, https://doi.org/10.1016/j.parco.2021.102836, 2021. a, b
Bank, R. E., Coughran, W. M., Fichtner, W., Grosse, E. H., Rose, D. J., and Smith, R. K.: Transient Simulation of Silicon Devices and Circuits, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 4, 436–451, 1985. a
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, R. B., Fiore, A. M., Li, Q., Liu, H., Mickley, L. J., and Schultz, M. G.: Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, Journal of Geophysical Research: Atmospheres, 106, 23073–23095, https://doi.org/10.1029/2001JD000807, 2001. a
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We developed TChem-atm, a new open-source tool for simulating atmospheric chemistry and aerosols. As models become more detailed, traditional methods are too slow. TChem-atm runs on both standard processors and graphics processors, making these simulations faster and more efficient. The tool provides a foundation for next-generation models that improve predictions of air quality and climate.
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