WG4 - Planning
Lead: Uni. Strasbourg Co-lead: Uni. Madrid Co-ordinator: A. Clappier
In this WG a methodology is developed to evaluate and test the robustness of models applied in scenario mode to assess the impacts of air quality plans.
A first stage consisted in reviewing currently applied methodologies among MS at both the national and regional/local scales. Specific indicators have then be developed as part of a common evaluation methodology (benchmarking) to assess the robustness of models when used in a dynamic mode.
One objective of this evaluation methodology is to inter-compare the following aspects in terms of model responses:
1  the absolute response strength to identify the potential in terms of precursor or/and sectors of activity for emission reduction measures within a given spatial domain
2  the degree of non-linearity to assess the robustness of the model responses. Comparisons of model responses across spatial scales and links with underlying input data (link to the emissions WG) are also foci of this WG.
Other methodologies like trend-analysis (i.e. capacity of the model to reproduce historical yearly variations) or "spectral analysis" (capacity of models to reproduce inter-seasonal, weekly of daily variations) are also points addressed within this WG.
Indicators to support the dynamic evaluation of air quality models,P. Thunis and A. Clappier, Atm. Env. 98 (2014)
Dynamic evaluation of air quality models over European regions,P. Thunis, E. Pisoni, B. Degraeuwe, R. Kranenburg, M. Schaap and A. Clappier, Atm. Env. 111 (2015)
Adding spatial flexibility to source-receptor relationships for air quality modeling,E. Pisoni, A. Clappier, B. Degraeuwe and P. Thunis, Env. Modelling & Softw 90, 68-77 (2017)
On the design and assessment of regional air quality plans: The SHERPA approach,P. Thunis, B. Degraeuwe, E. Pisoni, F. Ferrari and A. Clappier, Journal of Environmental Management 183 (2016)
Screening of the EMEP source receptor relationships: application to five European countries,A. Clappier, H. Fagerli and P. Thunis, Air Qual Atmos Health, DOI 10.1007/s11869-016-0443-y(2016)
A new approach to design sourceereceptor relationships for air quality modelling,A. Clappier, E. Pisoni and P. Thunis, Air Qual Atmos Health, Env. Modelling & Softw 74, 66-74(2016)