Modeling techniques, in addition to observations, can be important tools in learning how emissions of various pollutants affect air quality. In our work, we use the GEOS-Chem model and its Adjoint to examine air quality issues.
Project Leaders:
Collaborator: Daven Henze
References:
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. [preprint], doi:https://doi.org/10.5194/gmd-2022-42, in review, 2022. [Link]
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, 5977–5997, https://doi.org/10.5194/gmd-14-5977-2021, 2021.[Link]
Xu, J., Martin, R. V., Evans, G. J., Umbrio, D., Traub, A., Meng, J., van Donkelaar, A., You, H., Kulka, R., Burnett, R. T., Godri Pollitt, K. J. and Weichenthal, S., Predicting Spatial Variations in Multiple Measures of Oxidative Burden for Outdoor Fine Particulate Air Pollution across Canada., Environ. Sci. Technol., doi:10.1021/acs.est.1c01210, 2021. [Link]
Xu, J.-W., R. V. Martin, B. H. Henderson, J. Meng, Y. B. Öztaner, J. L. Hand, A. Hakami, M. Strum, S. B. Phillips, Simulation of airborne trace metals in fine particulate matter over North America,Atmos. Environ., doi:10.1016/j.atmosenv.2019.116883, 2019.[Link]
Meng, J., C. Li, R. V. Martin, A. van Donkelaar, P. Hystad, M. Brauer, Estimated Long-Term (1981–2016) Concentrations of Ambient Fine Particulate Matter across North America from Chemical Transport Modeling, Satellite Remote Sensing, and Ground-Based Measurements., Environ. Sci. Technol., doi: 10.1021/acs.est.8b06875, 2019. [Link](Open Access) [Data set]
Geddes, J, A. a and R. V. Martin, Global deposition of total reactive nitrogen oxides from 1996 to 2014 constrained with satellite observations of NO2 columns, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-1100, 2017. [Link]
Philip, S., R. V. Martin, G. Snider, C. Weagle, A. van Donkelaar, M. Brauer, D. Henze, Z. Klimont, C. Venkataraman, S. Guttikunda and Q. Zhang, Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models, Environ. Res. Lett., doi:https://doi.org/10.1088/1748-9326/aa65a4, 2017. [Link]
Geddes, J. A., C. L. Heald, S. J. Silva, and R. V. Martin, Land cover change impacts on atmospheric chemistry: simulating projected large-scale tree mortality in the United States, Atmos. Chem. Phys., 16, 2323-2340, 2016. [Link]
Lee, C.J., R.V. Martin, Henze D.K., Brauer M., Cohen A., and A. van Donkelaar, Response of global particulate-matter-related mortality to changes in local precursor emissions, Environ. Sci. Tech., 49(7), 4335–4344, doi:10.1021/acs.est.5b00873, 2015. [Link]
Philip, S., R.V. Martin, A. van Donkelaar, J. Wai-Ho Lo, Y. Wang, D. Chen, L. Zhang, P. S. Kasibhatla, S. W. Wang, Q. Zhang, Z. Lu, D. G. Streets, S. Bittman, and D. J. Macdonald, Global Chemical Composition of Ambient Fine Particulate Matter for Exposure Assessment, Environ. Sci. Technol., accepted, DOI: 10.1021/es502965b [Link].
Kharol, S. K., R. V. Martin, S. Philip, S. Vogel, D. K. Henze, D. Chen, Y. Wang, Q. Zhang, and C. L. Heald, Persistent sensitivity of Asian aerosol to emissions of nitrogen oxides, Geophys. Res. Lett., 40, doi:10.1002/grl.50234, 2013. [Full Text (Link)] [Supplementary Material (Link)]