Articles | Volume 22, issue 16
https://doi.org/10.5194/acp-22-10635-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-22-10635-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Aug 2022
Research article |
| 23 Aug 2022
| 23 Aug 2022
Effects of reanalysis forcing fields on ozone trends and age of air from a chemical transport model
Yajuan Li
CORRESPONDING AUTHOR
School of Electronic Engineering, Nanjing Xiaozhuang University,
Nanjing, China
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Martyn P. Chipperfield
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Wuhu Feng
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Atmospheric Science, University of Leeds, Leeds, UK
Andreas Chrysanthou
School of Earth and Environment, University of Leeds, Leeds, UK
School of Electronic Engineering, Nanjing Xiaozhuang University,
Nanjing, China
Dong Guo
Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment
Change/Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
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Cited
12 citations as recorded by crossref.
- Trends in short-term variability of total column ozone over Europe for the period 1980–2020 from the ground-based observations and ERA5 reanalysis J. Krzyścin 10.1016/j.atmosenv.2022.119543
- Spatiotemporal characterization of PM2.5, O3, and trace gases associated with East Asian continental outflows via drone sounding C. Chang et al. 10.1016/j.scitotenv.2024.172732
- Global ozone variability M. Al-Mutairi et al. 10.1016/j.jastp.2023.106162
- Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets S. Dhomse & M. Chipperfield 10.5194/essd-15-5105-2023
- Quantifying stratospheric ozone trends over 1984–2020: a comparison of ordinary and regularized multivariate regression models Y. Li et al. 10.5194/acp-23-13029-2023
- Evaluation of O3, H2O, CO, and NOy climatologies simulated by four global models in the upper troposphere–lower stratosphere with IAGOS measurements Y. Cohen et al. 10.5194/acp-25-5793-2025
- The impact of El Niño–Southern Oscillation on the total column ozone over the Tibetan Plateau Y. Li et al. 10.5194/acp-24-8277-2024
- Applicability Evaluation of Antarctic Ozone Reanalysis and Merged Satellite Datasets J. Chen et al. 10.3390/atmos16060696
- Assessment of bias correction technique to improve ozone reanalysis dataset over India T. Gangwar et al. 10.1007/s42865-025-00109-x
- Climatology of Polar Stratospheric Clouds Derived from CALIPSO and SLIMCAT D. Li et al. 10.3390/rs16173285
- Quantifying stratospheric ozone trends over 1984–2020: a comparison of ordinary and regularized multivariate regression models Y. Li et al. 10.5194/acp-23-13029-2023
- Effects of reanalysis forcing fields on ozone trends and age of air from a chemical transport model Y. Li et al. 10.5194/acp-22-10635-2022
10 citations as recorded by crossref.
- Trends in short-term variability of total column ozone over Europe for the period 1980–2020 from the ground-based observations and ERA5 reanalysis J. Krzyścin 10.1016/j.atmosenv.2022.119543
- Spatiotemporal characterization of PM2.5, O3, and trace gases associated with East Asian continental outflows via drone sounding C. Chang et al. 10.1016/j.scitotenv.2024.172732
- Global ozone variability M. Al-Mutairi et al. 10.1016/j.jastp.2023.106162
- Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets S. Dhomse & M. Chipperfield 10.5194/essd-15-5105-2023
- Quantifying stratospheric ozone trends over 1984–2020: a comparison of ordinary and regularized multivariate regression models Y. Li et al. 10.5194/acp-23-13029-2023
- Evaluation of O3, H2O, CO, and NOy climatologies simulated by four global models in the upper troposphere–lower stratosphere with IAGOS measurements Y. Cohen et al. 10.5194/acp-25-5793-2025
- The impact of El Niño–Southern Oscillation on the total column ozone over the Tibetan Plateau Y. Li et al. 10.5194/acp-24-8277-2024
- Applicability Evaluation of Antarctic Ozone Reanalysis and Merged Satellite Datasets J. Chen et al. 10.3390/atmos16060696
- Assessment of bias correction technique to improve ozone reanalysis dataset over India T. Gangwar et al. 10.1007/s42865-025-00109-x
- Climatology of Polar Stratospheric Clouds Derived from CALIPSO and SLIMCAT D. Li et al. 10.3390/rs16173285
2 citations as recorded by crossref.
- Quantifying stratospheric ozone trends over 1984–2020: a comparison of ordinary and regularized multivariate regression models Y. Li et al. 10.5194/acp-23-13029-2023
- Effects of reanalysis forcing fields on ozone trends and age of air from a chemical transport model Y. Li et al. 10.5194/acp-22-10635-2022
Latest update: 31 Jul 2025
Short summary
Chemical transport models forced with (re)analysis meteorological fields are ideally suited for interpreting the influence of important physical processes on the ozone variability. We use TOMCAT forced by ECMWF ERA-Interim and ERA5 reanalysis data sets to investigate the effects of reanalysis forcing fields on ozone changes. Our results show that models forced by ERA5 reanalyses may not yet be capable of reproducing observed changes in stratospheric ozone, particularly in the lower stratosphere.
Chemical transport models forced with (re)analysis meteorological fields are ideally suited for...
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