Articles | Volume 4, issue 4
https://doi.org/10.5194/acp-4-877-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-4-877-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Impact of different emission inventories on simulated tropospheric ozone over China: a regional chemical transport model evaluation
J. Ma
Chinese Academy of Meteorological Sciences, People’s Republic of China
J. A. van Aardenne
Max Planck Institute for Chemistry, Mainz, Germany
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38 citations as recorded by crossref.
- Multi-Model Evaluation of Meteorological Drivers, Air Pollutants and Quantification of Emission Sources over the Upper Brahmaputra Basin A. Saikia et al. 10.3390/atmos10110703
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- Quantifying burning efficiency in megacities using the NO2∕CO ratio from the Tropospheric Monitoring Instrument (TROPOMI) S. Lama et al. 10.5194/acp-20-10295-2020
- Multi-pollutant emissions from the burning of major agricultural residues in China and the related health-economic effects C. Li et al. 10.5194/acp-17-4957-2017
- High-ozone layers in the middle and upper troposphere above Central Europe: potential import from the stratosphere along the subtropical jet stream T. Trickl et al. 10.5194/acp-11-9343-2011
- Retrieving tropospheric NO<sub>2</sub> vertical column densities around the city of Beijing and estimating NO<sub><i>x</i></sub> emissions based on car MAX-DOAS measurements X. Cheng et al. 10.5194/acp-20-10757-2020
- Investigating the Changes in Air Pollutant Emissions over the Beijing-Tianjin-Hebei Region in February from 2014 to 2019 through an Inverse Emission Method X. Luo et al. 10.1007/s00376-022-2039-9
- Comparison of model-simulated tropospheric NO2 over China with GOME-satellite data J. Ma et al. 10.1016/j.atmosenv.2005.09.029
- Inversion of CO emissions over Beijing and its surrounding areas with ensemble Kalman filter X. Tang et al. 10.1016/j.atmosenv.2013.08.051
- A fast forecasting method for PM2.5 concentrations based on footprint modeling and emission optimization M. Yu et al. 10.1016/j.atmosenv.2019.117013
- A high-resolution emission inventory of primary pollutants for the Huabei region, China B. Zhao et al. 10.5194/acp-12-481-2012
- Intercomparison of NO<sub><i>x</i></sub> emission inventories over East Asia J. Ding et al. 10.5194/acp-17-10125-2017
- Air quality modeling with WRF-Chem v3.5 in East Asia: sensitivity to emissions and evaluation of simulated air quality M. Zhong et al. 10.5194/gmd-9-1201-2016
- Performance and application of air quality models on ozone simulation in China – A review J. Yang & Y. Zhao 10.1016/j.atmosenv.2022.119446
- A GIS based anthropogenic PM10 emission inventory for Greece K. Markakis et al. 10.5094/APR.2010.010
- Effects of NO x and VOCs from five emission sources on summer surface O3 over the Beijing-Tianjin-Hebei region Y. Qu et al. 10.1007/s00376-013-3132-x
- Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends P. Young et al. 10.1525/elementa.265
- Tropospheric NO2 columns over East Central China: Comparisons between SCIAMACHY measurements and nested CMAQ simulations C. Shi et al. 10.1016/j.atmosenv.2008.05.046
- A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: an application to air quality forecasts in the Beijing–Tianjin–Hebei region X. Cheng et al. 10.5194/acp-21-13747-2021
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- Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model E. Emili et al. 10.5194/acp-14-177-2014
- Development of a PM2.5 prediction model using a recurrent neural network algorithm for the Seoul metropolitan area, Republic of Korea H. Chang-Hoi et al. 10.1016/j.atmosenv.2020.118021
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- Assessing the effect of long-range pollutant transportation on air quality in Seoul using the conditional potential source contribution function method U. Jeong et al. 10.1016/j.atmosenv.2016.11.017
- Aircraft observations of dust and pollutants over northeast China: Insight into the meteorological mechanisms of transport R. Dickerson et al. 10.1029/2007JD008999
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