Key references


  1. V. Damian, A. Sandu, M. Damian, F. Potra, and G.R. Carmichael: The Kinetic PreProcessor KPP – A Software Environment for Solving Chemical Kinetics, Computers and Chemical Engineering, Vol. 26, No. 11, 1567-1579 (2002).

  2. A. Sandu, D. Daescu, and G.R. Carmichael: Direct and Adjoint Sensitivity Analysis of Chemical Kinetic Systems with KPP: I – Theory and Software Tools, Atmospheric Environment, Vol. 37, 5083-5096 (2003).

  3. D. Daescu, A. Sandu, and G.R. Carmichael: Direct and Adjoint Sensitivity Analysis of Chemical Kinetic Systems with KPP: II – Validation and Numerical Experiments, Atmospheric Environment, Vol. 37, p. 5097-5114 (2003).

  4. A. Sandu and R. Sander. Technical Note: Simulating chemical systems in Fortran90 and Matlab with the kinetic preprocessor KPP-2.1, Atmospheric Chemistry and Physics, Vol. 6, 187-195, (2006).

  5. The KPP 2.1 user manual.


  1. GEOS-Chem was first described in [Bey et al., 2001].

  2. HEMCO is described in [Keller et al., 2014].

  3. Columnar operators are described in [Long et al., 2015].

  4. GEOS-Chem High Performance (GCHP) is described in [Eastham et al., 2018].

  5. GCHP execution on the cloud and MPI considerations are described in [Zhuang et al., 2020].

  6. Grid-stretching is described in [Bindle et al., 2020].


Bey et al., 2001

Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore, A. M., Li, Q., Liu, H. Y., 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(D19):23073–23095, October 2001. doi:10.1029/2001JD000807.

Keller et al., 2014

Keller, C. A., Long, M. S., Yantosca, R. M., Da Silva, A. M., Pawson, S., and Jacob, D. J. HEMCO v1.0: a versatile, ESMF-compliant component for calculating emissions in atmospheric models. Geoscientific Model Development, 7(4):1409–1417, July 2014. doi:10.5194/gmd-7-1409-2014.

Long et al., 2015

Long, M. S., Yantosca, R., Nielsen, J. E., Keller, C. A., da Silva, A., Sulprizio, M. P., Pawson, S., and Jacob, D. J. Development of a grid-independent GEOS-Chem chemical transport model (v9-02) as an atmospheric chemistry module for Earth system models. Geoscientific Model Development, 8(3):595–602, March 2015. doi:10.5194/gmd-8-595-2015.

Eastham et al., 2018

Eastham, S. D., Long, M. S., Keller, C. A., Lundgren, E., Yantosca, R. M., Zhuang, J., Li, C., Lee, C. J., Yannetti, M., Auer, B. M., Clune, T. L., Kouatchou, J., Putman, W. M., Thompson, M. A., Trayanov, A. L., Molod, A. M., Martin, R. V., and Jacob, D. J. GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications. Geoscientific Model Development, 11(7):2941–2953, July 2018. doi:10.5194/gmd-11-2941-2018.

Zhuang et al., 2020

Zhuang, J., Jacob, D. J., Lin, H., Lundgren, E. W., Yantosca, R. M., Gaya, J. F., Sulprizio, M. P., and Eastham, S. D. Enabling High‐Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS‐Chem Atmospheric Chemistry Model. Journal of Advances in Modeling Earth Systems, May 2020. doi:10.1029/2020MS002064.

Bindle et al., 2020

Bindle, L., Martin, R. V., Cooper, M. J., Lundgren, E. W., Eastham, S. D., Auer, B. M., Clune, T. L., Weng, H., Lin, J., Murray, L. T., Meng, J., Keller, C. A., Pawson, S., and Jacob, D. J. Grid-Stretching Capability for the GEOS-Chem 13.0.0 Atmospheric Chemistry Model. Geoscientific Model Development, December 2020. doi:10.5194/gmd-2020-398.