Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1767-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1767-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
27 Apr 2017
Model evaluation paper |
| 27 Apr 2017
Spatiotemporal evaluation of EMEP4UK-WRF v4.3 atmospheric chemistry transport simulations of health-related metrics for NO2, O3, PM10, and PM2. 5 for 2001–2010
Chun Lin
School of Chemistry, University of Edinburgh, Edinburgh, UK
School of Chemistry, University of Edinburgh, Edinburgh, UK
Massimo Vieno
NERC Centre for Ecology & Hydrology, Penicuik, UK
Ian A. MacKenzie
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Ben G. Armstrong
Department of Social and Environmental Health Research, London School
of Hygiene and Tropical Medicine, London, UK
Barbara K. Butland
Population Heath Research Institute and MRC-PHE Centre for Environment
and Health, St George's, University of London, London, UK
Ai Milojevic
Department of Social and Environmental Health Research, London School
of Hygiene and Tropical Medicine, London, UK
Zaid Chalabi
Department of Social and Environmental Health Research, London School
of Hygiene and Tropical Medicine, London, UK
Richard W. Atkinson
Population Heath Research Institute and MRC-PHE Centre for Environment
and Health, St George's, University of London, London, UK
David S. Stevenson
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Ruth M. Doherty
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Paul Wilkinson
Department of Social and Environmental Health Research, London School
of Hygiene and Tropical Medicine, London, UK
Viewed
Total article views: 3,543 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Aug 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,525 | 890 | 128 | 3,543 | 400 | 138 | 165 |
- HTML: 2,525
- PDF: 890
- XML: 128
- Total: 3,543
- Supplement: 400
- BibTeX: 138
- EndNote: 165
Total article views: 3,099 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Apr 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,278 | 702 | 119 | 3,099 | 252 | 122 | 152 |
- HTML: 2,278
- PDF: 702
- XML: 119
- Total: 3,099
- Supplement: 252
- BibTeX: 122
- EndNote: 152
Total article views: 444 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Aug 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 247 | 188 | 9 | 444 | 148 | 16 | 13 |
- HTML: 247
- PDF: 188
- XML: 9
- Total: 444
- Supplement: 148
- BibTeX: 16
- EndNote: 13
Viewed (geographical distribution)
Total article views: 3,543 (including HTML, PDF, and XML)
Thereof 3,357 with geography defined
and 186 with unknown origin.
Total article views: 3,099 (including HTML, PDF, and XML)
Thereof 2,926 with geography defined
and 173 with unknown origin.
Total article views: 444 (including HTML, PDF, and XML)
Thereof 431 with geography defined
and 13 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
21 citations as recorded by crossref.
- Air quality simulations for London using a coupled regional-to-local modelling system C. Hood et al. 10.5194/acp-18-11221-2018
- Higher air pollution exposure in early life is associated with worse health among older adults: A 72-year follow-up study from Scotland G. Baranyi et al. 10.1016/j.healthplace.2024.103208
- The effect of workplace mobility on air pollution exposure inequality—a case study in the Central Belt of Scotland T. Liška et al. 10.1088/2752-5309/ad3840
- 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
- Modelling benzo(a)pyrene concentrations for different meteorological conditions – Analysis of lung cancer cases and associated economic costs P. Porwisiak et al. 10.1016/j.envint.2023.107863
- Early life PM2.5 exposure, childhood cognitive ability and mortality between age 11 and 86: A record-linkage life-course study from Scotland G. Baranyi et al. 10.1016/j.envres.2023.117021
- A machine learning approach to downscale EMEP4UK: analysis of UK ozone variability and trends L. Gouldsbrough et al. 10.5194/acp-24-3163-2024
- Applying air pollution modelling within a multi-criteria decision analysis framework to evaluate UK air quality policies Z. Chalabi et al. 10.1016/j.atmosenv.2017.08.057
- A grey spatiotemporal incidence model with application to factors causing air pollution J. Sun et al. 10.1016/j.scitotenv.2020.143576
- Integrating Augmented In Situ Measurements and a Spatiotemporal Machine Learning Model To Back Extrapolate Historical Particulate Matter Pollution over the United Kingdom: 1980–2019 R. Liu et al. 10.1021/acs.est.3c05424
- Comparing the performance of air pollution models for nitrogen dioxide and ozone in the context of a multilevel epidemiological analysis B. Butland et al. 10.1097/EE9.0000000000000093
- Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland M. Werner et al. 10.3390/rs11202364
- Life-course exposure to air pollution and biological ageing in the Lothian Birth Cohort 1936 G. Baranyi et al. 10.1016/j.envint.2022.107501
- Life Course Air Pollution Exposure and Cognitive Decline: Modelled Historical Air Pollution Data and the Lothian Birth Cohort 1936 T. Russ et al. 10.3233/JAD-200910
- The relationship between personal exposure and ambient PM2.5 and black carbon in Beijing C. Lin et al. 10.1016/j.scitotenv.2020.139801
- High resolution application of the EMEP MSC-W model over Eastern Europe – Analysis of the EMEP4PL results M. Werner et al. 10.1016/j.atmosres.2018.04.025
- Causal association between long-term exposure to air pollution and incident Parkinson’s disease B. Ai et al. 10.1016/j.jhazmat.2024.133944
- Spatial analysis and evolution of four air pollutants in England and Wales Á. Prieto et al. 10.1016/j.scitotenv.2021.145665
- Assessing the health estimation capacity of air pollution exposure prediction models J. Krall et al. 10.1186/s12940-022-00844-0
- A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain R. Schneider et al. 10.3390/rs12223803
- Socioeconomic and urban-rural differentials in exposure to air pollution and mortality burden in England A. Milojevic et al. 10.1186/s12940-017-0314-5
20 citations as recorded by crossref.
- Air quality simulations for London using a coupled regional-to-local modelling system C. Hood et al. 10.5194/acp-18-11221-2018
- Higher air pollution exposure in early life is associated with worse health among older adults: A 72-year follow-up study from Scotland G. Baranyi et al. 10.1016/j.healthplace.2024.103208
- The effect of workplace mobility on air pollution exposure inequality—a case study in the Central Belt of Scotland T. Liška et al. 10.1088/2752-5309/ad3840
- 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
- Modelling benzo(a)pyrene concentrations for different meteorological conditions – Analysis of lung cancer cases and associated economic costs P. Porwisiak et al. 10.1016/j.envint.2023.107863
- Early life PM2.5 exposure, childhood cognitive ability and mortality between age 11 and 86: A record-linkage life-course study from Scotland G. Baranyi et al. 10.1016/j.envres.2023.117021
- A machine learning approach to downscale EMEP4UK: analysis of UK ozone variability and trends L. Gouldsbrough et al. 10.5194/acp-24-3163-2024
- Applying air pollution modelling within a multi-criteria decision analysis framework to evaluate UK air quality policies Z. Chalabi et al. 10.1016/j.atmosenv.2017.08.057
- A grey spatiotemporal incidence model with application to factors causing air pollution J. Sun et al. 10.1016/j.scitotenv.2020.143576
- Integrating Augmented In Situ Measurements and a Spatiotemporal Machine Learning Model To Back Extrapolate Historical Particulate Matter Pollution over the United Kingdom: 1980–2019 R. Liu et al. 10.1021/acs.est.3c05424
- Comparing the performance of air pollution models for nitrogen dioxide and ozone in the context of a multilevel epidemiological analysis B. Butland et al. 10.1097/EE9.0000000000000093
- Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland M. Werner et al. 10.3390/rs11202364
- Life-course exposure to air pollution and biological ageing in the Lothian Birth Cohort 1936 G. Baranyi et al. 10.1016/j.envint.2022.107501
- Life Course Air Pollution Exposure and Cognitive Decline: Modelled Historical Air Pollution Data and the Lothian Birth Cohort 1936 T. Russ et al. 10.3233/JAD-200910
- The relationship between personal exposure and ambient PM2.5 and black carbon in Beijing C. Lin et al. 10.1016/j.scitotenv.2020.139801
- High resolution application of the EMEP MSC-W model over Eastern Europe – Analysis of the EMEP4PL results M. Werner et al. 10.1016/j.atmosres.2018.04.025
- Causal association between long-term exposure to air pollution and incident Parkinson’s disease B. Ai et al. 10.1016/j.jhazmat.2024.133944
- Spatial analysis and evolution of four air pollutants in England and Wales Á. Prieto et al. 10.1016/j.scitotenv.2021.145665
- Assessing the health estimation capacity of air pollution exposure prediction models J. Krall et al. 10.1186/s12940-022-00844-0
- A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain R. Schneider et al. 10.3390/rs12223803
Latest update: 24 Apr 2024
Short summary
We evaluated EMEP4UK-WRF v4.3 atmospheric chemistry transport simulations at 5 km horizontal resolution over the UK for use in air pollution epidemiology and health burden assessment. Model-measurement comparison focused on daily and annual means for NO2, O3, PM10, and PM2.5. Important statistics for evaluation of air-quality model output against policy (and hence health)-relevant standards – correlation, bias, and root mean square error – were evaluated by site type, year, month and day-of-week.
We evaluated EMEP4UK-WRF v4.3 atmospheric chemistry transport simulations at 5 km horizontal...
