Atmospheric Composition Modeling and Analysis Program

Eastham, S.D., et al. (2018), GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications, Geosci. Model. Dev., 11, 2941-2953, doi:10.5194/gmd-11-2941-2018.

Zhang, Y., et al. (2018), Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane, Atmos. Chem. Phys., 18, 15959-15973, doi:10.5194/acp-18-15959-2018.

Marais, E.A., et al. (2018), Nitrogen oxides in the global upper troposphere: interpreting cloud-sliced NO2 observations from the OMI satellite instrument, Atmos. Chem. Phys., 18, 17017-17027, doi:10.5194/acp-18-17017-2018.

Chen, G., et al. (2017), The role of monsoon-like zonally asymmetric heating in interhemispheric transport, J. Geophys. Res., 122, 3282-3298, doi:10.1002/2016JD026427.

Orbe, C., et al. (2016), Tropospheric transport differences between models using the same large-scale meteorological fields, Geophys. Res. Lett., 44, doi:10.1002/2016GL071339.

Tweedy, O.V., et al. (2017), Hemispheric differences in the annual cycle of tropical lower stratosphere transport and tracers, J. Geophys. Res., 122, 7183-7199, doi:10.1002/2017JD026482.

Orbe, C., et al. (2018), Large-scale tropospheric transport in the Chemistry–Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217-7235, doi:10.5194/acp-18-7217-2018.

Wu, X., et al. (2018), Spatial and temporal variability of interhemispheric transport times, Atmos. Chem. Phys., 18, 7439-7452, doi:10.5194/acp-18-7439-2018.

Yang, H., et al. (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511-5528, doi:10.5194/acp-19-5511-2019.