Regional Air Quality Modeling with WRF-Chem
By exploiting the latest advances in High Performance Computing we investigate model sensitivity on the spatial resolution applied and on different physical/chemical parameterizations. These investigations allow us to improve our understating of aerosols role in dictating the current and future climate.
- Jin, Q., Crippa, P., and Pryor, S.C. (2020), Spatial characteristics and temporal evolution of the relationship between PM2.5 and aerosol optical depth over the eastern USA during 2003–2017, Atmospheric Environment, 117718, https://doi.org/10.1016/j.atmosenv.2020.117718.
- Giani P., Anav A., De Marco A., Zhaozhong F. and Crippa, P. (2020): Exploring sources of uncertainty in premature mortality estimates from fine particulate matter: the case of China, Environmental Research Letters, https://doi.org/10.1088/1748-9326/ab7f0f
- Crippa, P., Sullivan, R.C., Thota, A., Pryor, S.C. (2019): Sensitivity of simulated aerosol properties over eastern North America to WRF-Chem parameterizations, Journal of Geophysical Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029900.
- Crippa, P., Sullivan, R.C., Thota, A., Pryor, S.C. (2016), The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem, Atmospheric Chemistry and Physics, 17, 1511-1528, doi:10.5194/acp-2016-453. Link
- Crippa, P., Sullivan, R.C., Thota, A., Pryor, S.C. (2016), Evaluating the skill of high-resolution WRFChem simulations in describing drivers of aerosol direct climate forcing on the regional scale, Atmospheric Chemistry and Physics, 16, 397-416, doi:10.5194/acp-16-397-2016. Link