Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.414 IF 5.414
  • IF 5-year value: 5.958 IF 5-year
    5.958
  • CiteScore value: 9.7 CiteScore
    9.7
  • SNIP value: 1.517 SNIP 1.517
  • IPP value: 5.61 IPP 5.61
  • SJR value: 2.601 SJR 2.601
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 191 Scimago H
    index 191
  • h5-index value: 89 h5-index 89
ACP | Articles | Volume 19, issue 5
Atmos. Chem. Phys., 19, 2881–2898, 2019
https://doi.org/10.5194/acp-19-2881-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 2881–2898, 2019
https://doi.org/10.5194/acp-19-2881-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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 | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets
Yuanhong Zhao, Marielle Saunois, Philippe Bousquet, Xin Lin, Antoine Berchet, Michaela I. Hegglin, Josep G. Canadell, Robert B. Jackson, Edward J. Dlugokencky, Ray L. Langenfelds, Michel Ramonet, Doug Worthy, and Bo Zheng
Atmos. Chem. Phys., 20, 9525–9546, https://doi.org/10.5194/acp-20-9525-2020,https://doi.org/10.5194/acp-20-9525-2020, 2020
Short summary
Evaluation of nitrogen oxides (NOx) sources and sinks and ozone production in Colombia and surrounding areas
Johannes G. M. Barten, Laurens N. Ganzeveld, Auke J. Visser, Rodrigo Jiménez, and Maarten C. Krol
Atmos. Chem. Phys., 20, 9441–9458, https://doi.org/10.5194/acp-20-9441-2020,https://doi.org/10.5194/acp-20-9441-2020, 2020
Short summary
The impact of biomass burning on upper tropospheric carbon monoxide: a study using MOCAGE global model and IAGOS airborne data
Martin Cussac, Virginie Marécal, Valérie Thouret, Béatrice Josse, and Bastien Sauvage
Atmos. Chem. Phys., 20, 9393–9417, https://doi.org/10.5194/acp-20-9393-2020,https://doi.org/10.5194/acp-20-9393-2020, 2020
Short summary
Temporal and spatial analysis of ozone concentrations in Europe based on timescale decomposition and a multi-clustering approach
Eirini Boleti, Christoph Hueglin, Stuart K. Grange, André S. H. Prévôt, and Satoshi Takahama
Atmos. Chem. Phys., 20, 9051–9066, https://doi.org/10.5194/acp-20-9051-2020,https://doi.org/10.5194/acp-20-9051-2020, 2020
Short summary
Why is the Indo-Gangetic Plain the region with the largest NH3 column in the globe during pre-monsoon and monsoon seasons?
Tiantian Wang, Yu Song, Zhenying Xu, Mingxu Liu, Tingting Xu, Wenling Liao, Lifei Yin, Xuhui Cai, Ling Kang, Hongsheng Zhang, and Tong Zhu
Atmos. Chem. Phys., 20, 8727–8736, https://doi.org/10.5194/acp-20-8727-2020,https://doi.org/10.5194/acp-20-8727-2020, 2020
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. 
Publications Copernicus
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.
Atmospheric chemistry transport models are widely used to underpin policies to mitigate the...
Citation
Final-revised paper
Preprint