Articles | Volume 13, issue 6
https://doi.org/10.5194/gmd-13-2879-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2879-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
30 Jun 2020
Development and technical paper |
| 30 Jun 2020
Further improvement of wet process treatments in GEOS-Chem v12.6.0: impact on global distributions of aerosols and aerosol precursors
Atmospheric Sciences Research Center, University at Albany, Albany,
NY, USA
Fangqun Yu
Atmospheric Sciences Research Center, University at Albany, Albany,
NY, USA
Jonathan M. Moch
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, MA, USA
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27 citations as recorded by crossref.
- Future air quality and premature mortality in Korea Y. Oak et al. 10.1016/j.scitotenv.2022.161134
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- Particle number concentrations and size distributions in the stratosphere: implications of nucleation mechanisms and particle microphysics F. Yu et al. 10.5194/acp-23-1863-2023
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- Quantification of Atmospheric Ammonia Concentrations: A Review of Its Measurement and Modeling A. Nair & F. Yu 10.3390/atmos11101092
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- Multiphase buffer theory explains contrasts in atmospheric aerosol acidity G. Zheng et al. 10.1126/science.aba3719
- Increasing influence of Canadian anthropogenic and the Great Lakes Region shipment SO2 emission on ultrafine particle number concentrations in New York State G. Luo et al. 10.1088/2515-7620/ac82a9
- Exploring dust heterogeneous chemistry over China: Insights from field observation and GEOS-Chem simulation R. Tian et al. 10.1016/j.scitotenv.2021.149307
- Remote Aerosol Simulated During the Atmospheric Tomography (ATom) Campaign and Implications for Aerosol Lifetime C. Gao et al. 10.1029/2022JD036524
- Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
- Foreign emissions exacerbate PM2.5 pollution in China through nitrate chemistry J. Xu et al. 10.5194/acp-23-4149-2023
- Contribution of biomass burning to black carbon deposition on Andean glaciers: consequences for radiative forcing E. Bonilla et al. 10.1088/1748-9326/acb371
- Global modeling of heterogeneous hydroxymethanesulfonate chemistry S. Song et al. 10.5194/acp-21-457-2021
- Use of Machine Learning to Reduce Uncertainties in Particle Number Concentration and Aerosol Indirect Radiative Forcing Predicted by Climate Models F. Yu et al. 10.1029/2022GL098551
- Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. 10.5194/acp-23-1227-2023
- Contrasting roles of clouds as a sink and source of aerosols: A quantitative assessment using WRF-Chem over East Asia Y. Ryu et al. 10.1016/j.atmosenv.2022.119073
- Particle surface area, ultrafine particle number concentration, and cardiovascular hospitalizations S. Lin et al. 10.1016/j.envpol.2022.119795
- Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method H. Li et al. 10.1021/acs.est.1c04380
- Factors controlling marine aerosol size distributions and their climate effects over the northwest Atlantic Ocean region B. Croft et al. 10.5194/acp-21-1889-2021
- Evaluation of Secondary Organic Aerosol (SOA) Simulations for Seoul, Korea Y. Oak et al. 10.1029/2021MS002760
- Control of particulate nitrate air pollution in China S. Zhai et al. 10.1038/s41561-021-00726-z
- Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM<sub>2.5</sub>): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations S. Zhai et al. 10.5194/acp-21-16775-2021
- Background nitrogen dioxide (NO2) over the United States and its implications for satellite observations and trends: effects of nitrate photolysis, aircraft, and open fires R. Dang et al. 10.5194/acp-23-6271-2023
- Parameterization of below-cloud scavenging for polydisperse fine mode aerosols as a function of rain intensity C. Jung et al. 10.1016/j.jes.2022.07.031
- Chemical characteristics of wintertime aerosol and cloud over the Sea of Japan based on aircraft and ground measurements M. Kagawa et al. 10.1016/j.apr.2023.101650
Latest update: 25 Sep 2023
Short summary
This work improved pH calculation for cloud, rain, and wet surfaces, fraction of cloud available for aqueous-phase chemistry, rainout efficiencies for various types of cloud, empirical washout by rain and snow, and wet surface uptake in GEOS-Chem v12.6.0. We compared simulated mass concentrations of aerosol precursors and aerosols with surface monitoring networks, Arctic sites, and ATom observations, and showed that the model results with the updated wet processes agree better for most species.
This work improved pH calculation for cloud, rain, and wet surfaces, fraction of cloud available...
