Articles | Volume 13, issue 14
https://doi.org/10.5194/acp-13-6807-2013
https://doi.org/10.5194/acp-13-6807-2013
Research article
 | 
22 Jul 2013
Research article |  | 22 Jul 2013

Application of WRF/Chem-MADRID and WRF/Polyphemus in Europe – Part 1: Model description, evaluation of meteorological predictions, and aerosol–meteorology interactions

Y. Zhang, K. Sartelet, S.-Y. Wu, and C. Seigneur

Related authors

Projected increases in wildfires may challenge regulatory curtailment of PM2.5 over the eastern US by 2050
Chandan Sarangi, Yun Qian, L. Ruby Leung, Yang Zhang, Yufei Zou, and Yuhang Wang
Atmos. Chem. Phys., 23, 1769–1783, https://doi.org/10.5194/acp-23-1769-2023,https://doi.org/10.5194/acp-23-1769-2023, 2023
Short summary
MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling
Youngseob Kim, Lya Lugon, Alice Maison, Thibaud Sarica, Yelva Roustan, Myrto Valari, Yang Zhang, Michel André, and Karine Sartelet
Geosci. Model Dev., 15, 7371–7396, https://doi.org/10.5194/gmd-15-7371-2022,https://doi.org/10.5194/gmd-15-7371-2022, 2022
Short summary
Interpreting machine learning prediction of fire emissions and comparison with FireMIP process-based models
Sally S.-C. Wang, Yun Qian, L. Ruby Leung, and Yang Zhang
Atmos. Chem. Phys., 22, 3445–3468, https://doi.org/10.5194/acp-22-3445-2022,https://doi.org/10.5194/acp-22-3445-2022, 2022
Short summary
Reduced-complexity air quality intervention modeling over China: the development of InMAPv1.6.1-China and a comparison with CMAQv5.2
Ruili Wu, Christopher W. Tessum, Yang Zhang, Chaopeng Hong, Yixuan Zheng, Xinyin Qin, Shigan Liu, and Qiang Zhang
Geosci. Model Dev., 14, 7621–7638, https://doi.org/10.5194/gmd-14-7621-2021,https://doi.org/10.5194/gmd-14-7621-2021, 2021
Short summary
A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality
Kai Wang, Yang Zhang, Shaocai Yu, David C. Wong, Jonathan Pleim, Rohit Mathur, James T. Kelly, and Michelle Bell
Geosci. Model Dev., 14, 7189–7221, https://doi.org/10.5194/gmd-14-7189-2021,https://doi.org/10.5194/gmd-14-7189-2021, 2021
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)
Yunyao Li, Daniel Tong, Siqi Ma, Saulo R. Freitas, Ravan Ahmadov, Mikhail Sofiev, Xiaoyang Zhang, Shobha Kondragunta, Ralph Kahn, Youhua Tang, Barry Baker, Patrick Campbell, Rick Saylor, Georg Grell, and Fangjun Li
Atmos. Chem. Phys., 23, 3083–3101, https://doi.org/10.5194/acp-23-3083-2023,https://doi.org/10.5194/acp-23-3083-2023, 2023
Short summary
Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate
Shixian Zhai, Daniel J. Jacob, Drew C. Pendergrass, Nadia K. Colombi, Viral Shah, Laura Hyesung Yang, Qiang Zhang, Shuxiao Wang, Hwajin Kim, Yele Sun, Jin-Soo Choi, Jin-Soo Park, Gan Luo, Fangqun Yu, Jung-Hun Woo, Younha Kim, Jack E. Dibb, Taehyoung Lee, Jin-Seok Han, Bruce E. Anderson, Ke Li, and Hong Liao
EGUsphere, https://doi.org/10.5194/egusphere-2022-1485,https://doi.org/10.5194/egusphere-2022-1485, 2023
Short summary
Strong particle production and condensational growth in the upper troposphere sustained by biogenic VOCs from the canopy of the Amazon Basin
Yunfan Liu, Hang Su, Siwen Wang, Chao Wei, Wei Tao, Mira L. Pöhlker, Christopher Pöhlker, Bruna A. Holanda, Ovid O. Krüger, Thorsten Hoffmann, Manfred Wendisch, Paulo Artaxo, Ulrich Pöschl, Meinrat O. Andreae, and Yafang Cheng
Atmos. Chem. Phys., 23, 251–272, https://doi.org/10.5194/acp-23-251-2023,https://doi.org/10.5194/acp-23-251-2023, 2023
Short summary
Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions
Jingyu An, Cheng Huang, Dandan Huang, Momei Qin, Huan Liu, Rusha Yan, Liping Qiao, Min Zhou, Yingjie Li, Shuhui Zhu, Qian Wang, and Hongli Wang
Atmos. Chem. Phys., 23, 323–344, https://doi.org/10.5194/acp-23-323-2023,https://doi.org/10.5194/acp-23-323-2023, 2023
Short summary
Modelling the European wind-blown dust emissions and their impact on PM concentrations
Marina Liaskoni, Peter Huszar, Lukáš Bartík, Alvaro Patricio Prieto Perez, Jan Karlický, and Ondřej Vlček
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-804,https://doi.org/10.5194/acp-2022-804, 2023
Revised manuscript accepted for ACP
Short summary

Cited articles

Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation. 3. Sectional representation, J. Geophys. Res., 107, D3, 4026, https://doi.org/10.1029/2001JD000483, 2002.
Aphekom (Improving Knowledge and Communication for Decision Making on Air Pollution and Health in Europe): Summary report of the Aphekom project, 2008–2011, Institute De Veille Sanitaire, 94415, Saint-Maurice Cedex, France, 2011.
Baklanov, A., Hänninen, O., Slørdal, L. H., Kukkonen, J., Bjergene, N., Fay, B., Finardi, S., Hoe, S. C., Jantunen, M., Karppinen, A., Rasmussen, A., Skouloudis, A., Sokhi, R. S., Sørensen, J. H., and Ødegaard, V.: Integrated systems for forecasting urban meteorology, air pollution and population exposure, Atmos. Chem. Phys., 7, 855–874, https://doi.org/10.5194/acp-7-855-2007, 2007.
Baklanov, A., Korsholm, U., Mahura, A., Petersen, C., and Gross, A.: ENVIRO-HIRLAM: on-line coupled modelling of urban meteorology and air pollution, Adv. Sci. Res., 2, 41–46, https://doi.org/10.5194/asr-2-41-2008, 2008.
Baklanov, A.: Chemical weather forecasting: a new concept of integrated modelling, Adv. Sci. Res., 4, 23–27, https://doi.org/10.5194/asr-4-23-2010, 2010.
Download
Altmetrics
Final-revised paper
Preprint