Key References
GEOS-Chem was first described in [Bey et al., 2001].
HEMCO is described in [Keller et al., 2014] and [Lin et al., 2021].
Columnar operators are described in [Long et al., 2015].
GEOS-Chem High Performance (GCHP) is described in [Eastham et al., 2018].
GCHP execution on the cloud and MPI considerations are described in [Zhuang et al., 2020].
Grid-stretching is described in [Bindle et al., 2021].
Major GCHP developments in v13 are described in [Martin et al., 2022].
References
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. J. Geophys. Res., 106(D19):23073–23095, Oct 2001. doi:10.1029/2001JD000807.
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., Putman, W. M., Pawson, S., and Jacob, D. J. Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model. Geosci. Model Dev., 14(10):5977–5997, 2021. doi:10.5194/gmd-14-5977-2021.
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.
Keller, C. A., M.S. Long, Yantosca, R.M., Silva, A.M. D., Pawson, S., and Jacob, D.J. HEMCO v1.0: a versatile, ESMF-compliant component for calculating emissions in atmospheric models. Geosci. Model Dev., 7(4):1409–1417, July 2014. doi:10.5194/gmd-7-1409-2014.
Lin, H., Long, M. S., Sander, R., Sandu, A., Yantosca, R. M., Estrada, L. A., Shen, L., and Jacob, D. J. An adaptive auto-reduction solver for speeding up integration of chemical kinetics in atmospheric chemistry models: implementation and evaluation within the Kinetic Pre-Processor (KPP) version 3.0.0. J. Adv. Model. Earth Syst., pages 2022MS003293, 2023. doi:10.1029/2022MS003293.
Lin, H., Jacob, D. J., Lundgren, E. W., Sulprizio, M. P., Keller, C. A., Fritz, T. M., Eastham4, S. D., Emmons, L. K., Campbell, P. C., Baker, B., Saylor, R. D., and Montuoro, R. Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models. Geosci. Model. Dev., 14:5487–5506, 2021. doi:0.5194/gmd-14-5487-2021.
Long, M.S., and. J.E. Nielsen, R. Y., 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. Geosci. Model Dev., 8(3):595–602, March 2015. doi:10.5194/gmd-8-595-2015.
Luo, G., Yu, F., and Moch, J. Further improvement of wet process treatments in GEOS-Chem v12.6.0: impact on global distributions of aerosols and aerosol precursors. Geosci. Model. Dev., 13:2879–2903, 2020. doi:10.5194/gmd-13-2879-2020.
Martin, R. V., Eastham, S. D., Bindle, L., Lundgren, E. W., Clune, T. L., Keller, C. A., Downs, W., Zhang, D., Lucchesi, R. A., Sulprizio, M. P., Yantosca, R. M., Li, Y., Estrada, L., Putman, W. M., Auer, B. M., Trayanov, A. L., Pawson, S., and Jacob, D. J. Improved Advection, Resolution, Performance, and Community Access in the New Generation (Version 13) of the High Performance GEOS-Chem Global Atmospheric Chemistry Model (GCHP). Geosci. Model Dev. Discuss., 2022:1–30, 2022. doi:10.5194/gmd-2022-42.
Trivitayanurak, W., Adams, P., Spracklen, D., and Carslaw, K. Tropospheric aerosol microphysics simulation with assimilated meteorology: model description and intermodel comparison. Atmos. Chem. Phys., 8:3149–3168, 2008.
Yu, F. and Luo, G. Simulation of particle size distribution with a global aerosol model: Contribution of nucleation to aerosol and CCN number concentrations. Atmos. Chem. Phys., 9(7):7691–7710, 2009.
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.