Articles | Volume 19, issue 5
https://doi.org/10.5194/acp-19-2881-2019
https://doi.org/10.5194/acp-19-2881-2019
Research article
 | 
07 Mar 2019
Research article |  | 07 Mar 2019

Advanced methods for uncertainty assessment and global sensitivity analysis of an Eulerian atmospheric chemistry transport model

Ksenia Aleksankina, Stefan Reis, Massimo Vieno, and Mathew R. Heal

Related authors

Global sensitivity and uncertainty analysis of an atmospheric chemistry transport model: the FRAME model (version 9.15.0) as a case study
Ksenia Aleksankina, Mathew R. Heal, Anthony J. Dore, Marcel Van Oijen, and Stefan Reis
Geosci. Model Dev., 11, 1653–1664, https://doi.org/10.5194/gmd-11-1653-2018,https://doi.org/10.5194/gmd-11-1653-2018, 2018
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Atmospheric oxygen as a tracer for fossil fuel carbon dioxide: a sensitivity study in the UK
Hannah Chawner, Eric Saboya, Karina E. Adcock, Tim Arnold, Yuri Artioli, Caroline Dylag, Grant L. Forster, Anita Ganesan, Heather Graven, Gennadi Lessin, Peter Levy, Ingrid T. Luijkx, Alistair Manning, Penelope A. Pickers, Chris Rennick, Christian Rödenbeck, and Matthew Rigby
Atmos. Chem. Phys., 24, 4231–4252, https://doi.org/10.5194/acp-24-4231-2024,https://doi.org/10.5194/acp-24-4231-2024, 2024
Short summary
MIXv2: a long-term mosaic emission inventory for Asia (2010–2017)
Meng Li, Junichi Kurokawa, Qiang Zhang, Jung-Hun Woo, Tazuko Morikawa, Satoru Chatani, Zifeng Lu, Yu Song, Guannan Geng, Hanwen Hu, Jinseok Kim, Owen R. Cooper, and Brian C. McDonald
Atmos. Chem. Phys., 24, 3925–3952, https://doi.org/10.5194/acp-24-3925-2024,https://doi.org/10.5194/acp-24-3925-2024, 2024
Short summary
Organosulfate produced from consumption of SO3 speeds up sulfuric acid–dimethylamine atmospheric nucleation
Xiaomeng Zhang, Yongjian Lian, Shendong Tan, and Shi Yin
Atmos. Chem. Phys., 24, 3593–3612, https://doi.org/10.5194/acp-24-3593-2024,https://doi.org/10.5194/acp-24-3593-2024, 2024
Short summary
Contribution of expanded marine sulfur chemistry to the seasonal variability of dimethyl sulfide oxidation products and size-resolved sulfate aerosol
Linia Tashmim, William C. Porter, Qianjie Chen, Becky Alexander, Charles H. Fite, Christopher D. Holmes, Jeffrey R. Pierce, Betty Croft, and Sakiko Ishino
Atmos. Chem. Phys., 24, 3379–3403, https://doi.org/10.5194/acp-24-3379-2024,https://doi.org/10.5194/acp-24-3379-2024, 2024
Short summary
Spatial disparities of ozone pollution in the Sichuan Basin spurred by extreme, hot weather
Nan Wang, Yunsong Du, Dongyang Chen, Haiyan Meng, Xi Chen, Li Zhou, Guangming Shi, Yu Zhan, Miao Feng, Wei Li, Mulan Chen, Zhenliang Li, and Fumo Yang
Atmos. Chem. Phys., 24, 3029–3042, https://doi.org/10.5194/acp-24-3029-2024,https://doi.org/10.5194/acp-24-3029-2024, 2024
Short summary

Cited articles

Air Quality Expert Group: Mitigation of United Kingdom PM 2.5 Concentrations, available at: https://uk-air.defra.gov.uk/assets/documents/reports/cat11/1508060903_DEF-PB14161_Mitigation_of_UK_PM25.pdf (last access: 15 May 2018), 2013. 
Aleksankina, K.: Advanced methods for uncertainty assessment and global sensitivity analysis of a Eulerian atmospheric chemistry transport model [Data set], Zenodo, available at: https://doi.org/10.5281/zenodo.2213633, 2018. 
Aleksankina, K., Heal, M. R., Dore, A. J., Van Oijen, M., and Reis, S.: Global sensitivity and uncertainty analysis of an atmospheric chemistry transport model: the FRAME model (version 9.15.0) as a case study, Geosci. Model Dev., 11, 1653–1664, https://doi.org/10.5194/gmd-11-1653-2018, 2018. 
Asher, M. J., Croke, B. F. W., Jakeman, A. J., and Peeters, L. J. M.: A review of surrogate models and their application to groundwater modeling, Water Resour. Res., 51, 5957–5973, https://doi.org/10.1002/2015WR016967, 2015. 
Beddows, A. V., Kitwiroon, N., Williams, M. L., and Beevers, S. D.: Emulation and Sensitivity Analysis of the Community Multiscale Air Quality Model for a UK Ozone Pollution Episode, Environ. Sci. Technol., 51, 6229–6236, https://doi.org/10.1021/acs.est.6b05873, 2017. 
Download
Short summary
Atmospheric chemistry transport models are widely used to underpin policies to mitigate the detrimental effects of air pollution on human health and ecosystems. Understanding the level of confidence in model predictions is thus vital. We present a comprehensive approach for uncertainty assessment and global variance-based sensitivity analysis to propagate uncertainty from model input data and identify the extent to which uncertainty in different emissions drives the model output uncertainty.
Altmetrics
Final-revised paper
Preprint