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
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- 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
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- Association of fine particulate matter constituents with chronic obstructive pulmonary disease and the effect modification of genetic susceptibility M. Xing et al. 10.1038/s41612-025-00967-4
- A grey spatiotemporal incidence model with application to factors causing air pollution J. Sun et al. 10.1016/j.scitotenv.2020.143576
- 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
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- Assessing the health estimation capacity of air pollution exposure prediction models J. Krall et al. 10.1186/s12940-022-00844-0
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- 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: 14 Jul 2025
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...
