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 to examine air quality issues.
Project Leaders:
Collaborator: Daven Henze
References:
2025
Zhang, D., Martin, R. V., Liu, X., van Donkelaar, A., Oxford, C. R., Li, Y., Meng, J., Leung, D. M., Kok, J. F., Li, L., Zhu, H., Turner, J. R., Yan, Y., Brauer, M., Rudich, Y., and Windwer, E. (2025): Improving Fine Mineral Dust Representation from the Surface to the Column in GEOS-Chem 14.4.1, EGUsphere [preprint]. DOI: 10.5194/egusphere-2025-438 [Link]
2024
Croft, B., Martin, R. V., Chang, R. Y.-W., Bindle, L., Eastham, S. D., Estrada, L. A., Ford, B., Li, C., Long, M. S., Lundgren, E. W., Sinha, S., Sulprizio, M. P., Tang, Y., van Donkelaar, A., Yantosca, R. M., Zhang, D., Zhu, H., Pierce, J. R.: Toward Fine Horizontal Resolution Global Simulations of Aerosol Sectional Microphysics: Advances Enabled by GCHP-TOMAS. Journal of Advances in Modeling Earth Systems, 16(10), e2023MS004094. DOI: 10.1029/2023MS004094 [Link]
Zhang, D., Martin, R. V., van Donkelaar, A., Li, C., Zhu, H., Lyapustin, A.: Impact of Model Spatial Resolution on Global Geophysical Satellite-Derived Fine Particulate Matter. ACS ES&T Air. DOI: 10.1021/acsestair.4c00084 [Link]
2023
Li, C., Martin, R. V., Cohen, R. C., Bindle, L., Zhang, D., Chatterjee, D., Weng, H., & Lin, J.. Variable effects of spatial resolution on modeling of Nitrogen Oxides. Atmospheric Chemistry and Physics, 23(5), 3031–3049. https://doi.org/10.5194/acp-23-3031-2023, 2023.[Link]
Zhang, D., Martin, R. V., Bindle, L., Li, C., Eastham, S. D., van Donkelaar, A., Gallardo, L.: Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South. Environmental Science & Technology. https://doi.org/10.1021/acs.est.2c07253, 2023. [Link]
2022
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]
2021
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]
2019
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]
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]
2017
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]
2016
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]
2015
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]
2014
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,2014 [Link].
2013
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)]