Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1653-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-1653-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
27 Apr 2018
Methods for assessment of models |
| 27 Apr 2018
| 27 Apr 2018
Global sensitivity and uncertainty analysis of an atmospheric chemistry transport model: the FRAME model (version 9.15.0) as a case study
Ksenia Aleksankina
CORRESPONDING AUTHOR
School of Chemistry, University of Edinburgh, Edinburgh, UK
NERC Centre for Ecology & Hydrology, Penicuik, UK
Mathew R. Heal
School of Chemistry, University of Edinburgh, Edinburgh, UK
Anthony J. Dore
NERC Centre for Ecology & Hydrology, Penicuik, UK
Marcel Van Oijen
NERC Centre for Ecology & Hydrology, Penicuik, UK
Stefan Reis
NERC Centre for Ecology & Hydrology, Penicuik, UK
University of Exeter Medical School, European Centre for Environment
and Health, Knowledge Spa, Truro, UK
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- The UK Integrated Assessment Model for source apportionment and air pollution policy applications to PM2.5 H. ApSimon et al. 10.1016/j.envint.2021.106515
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- Reduced-form and complex ACTM modelling for air quality policy development: A model inter-comparison T. Oxley et al. 10.1016/j.envint.2022.107676
- Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data J. Lizundia-Loiola et al. 10.3390/rs13214295
- Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. 10.3390/atmos12121633
- Global and regional model simulations of atmospheric ammonia M. Khan et al. 10.1016/j.atmosres.2019.104702
- Advanced methods for uncertainty assessment and global sensitivity analysis of an Eulerian atmospheric chemistry transport model K. Aleksankina et al. 10.5194/acp-19-2881-2019
- Stream flow dynamics under current and future land cover conditions in Atsela Watershed, Northern Ethiopia H. Gebretekle et al. 10.1007/s11600-021-00691-6
- Electrification of Road Transport and the Impacts on Air Quality and Health in the UK D. Mehlig et al. 10.3390/atmos12111491
- A hybrid model approach for estimating health burden from NO2 in megacities in China: a case study in Guangzhou B. He et al. 10.1088/1748-9326/ab4f96
- A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
- Reduced-Form and Complex Actm Modelling for Air Quality Policy Development: A Model Inter-Comparison T. Oxley et al. 10.2139/ssrn.4158187
- Quantifying the uncertainties in a fault stability analysis of the Val d’Agri oilfield D. Rossi et al. 10.1007/s13137-020-00150-2
- Nitrogen deposition in the UK at 1 km resolution from 1990 to 2017 S. Tomlinson et al. 10.5194/essd-13-4677-2021
- NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. 10.5194/gmd-17-8495-2024
15 citations as recorded by crossref.
- The UK Integrated Assessment Model for source apportionment and air pollution policy applications to PM2.5 H. ApSimon et al. 10.1016/j.envint.2021.106515
- An exceedance score for the assessment of the impact of nitrogen deposition on habitats in the UK H. Woodward et al. 10.1016/j.envsoft.2022.105355
- Reduced-form and complex ACTM modelling for air quality policy development: A model inter-comparison T. Oxley et al. 10.1016/j.envint.2022.107676
- Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data J. Lizundia-Loiola et al. 10.3390/rs13214295
- Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. 10.3390/atmos12121633
- Global and regional model simulations of atmospheric ammonia M. Khan et al. 10.1016/j.atmosres.2019.104702
- Advanced methods for uncertainty assessment and global sensitivity analysis of an Eulerian atmospheric chemistry transport model K. Aleksankina et al. 10.5194/acp-19-2881-2019
- Stream flow dynamics under current and future land cover conditions in Atsela Watershed, Northern Ethiopia H. Gebretekle et al. 10.1007/s11600-021-00691-6
- Electrification of Road Transport and the Impacts on Air Quality and Health in the UK D. Mehlig et al. 10.3390/atmos12111491
- A hybrid model approach for estimating health burden from NO2 in megacities in China: a case study in Guangzhou B. He et al. 10.1088/1748-9326/ab4f96
- A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
- Reduced-Form and Complex Actm Modelling for Air Quality Policy Development: A Model Inter-Comparison T. Oxley et al. 10.2139/ssrn.4158187
- Quantifying the uncertainties in a fault stability analysis of the Val d’Agri oilfield D. Rossi et al. 10.1007/s13137-020-00150-2
- Nitrogen deposition in the UK at 1 km resolution from 1990 to 2017 S. Tomlinson et al. 10.5194/essd-13-4677-2021
- NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. 10.5194/gmd-17-8495-2024
Latest update: 14 Dec 2024
Short summary
Atmospheric chemistry transport models are widely used to underpin policy decisions. We present a global sensitivity and uncertainty analysis approach to understand how uncertainty in input emissions of SO2, NOx, and NH3 drives uncertainties in model outputs, using the FRAME model as an example. We interpret results for input emissions uncertainty ranges reported by the national emissions inventory. Variance-based measures of sensitivity were used to apportion model output uncertainty.
Atmospheric chemistry transport models are widely used to underpin policy decisions. We present...
