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Inderscience, International Journal of Environment and Pollution, 1/2/3/4(50), p. 175

DOI: 10.1504/ijep.2012.051191

Inderscience, International Journal of Environment and Pollution, 1/2(58), p. 63

DOI: 10.1504/ijep.2015.076584

Inderscience, International Journal of Environment and Pollution, 1/2/3/4(50), p. 83

DOI: 10.1504/ijep.2012.051183

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Evaluation of WRF model performance in different European regions with the DELTA-FAIRMODE evaluation tool

Journal article published in 2012 by Mario Marcello Miglietta ORCID, Philippe Thunis, Oliver Kracht, Emilia Georgieva, Anna Pederzoli, Rafael Borge, Florencia Parravicini, Bertrand Bessagnet ORCID, Etienne Terrenoire, David Carruthers, Augustin Colette, Pernigotti Denise, Michel Gerboles
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

The definition of appropriate performance criteria is one of the key issues for the benchmarking of air quality models in regulatory applications. As part of the FAIRMODE benchmarking activities (Thunis et al., 2010), suitable criteria for air quality modelling in the frame of the EU air quality directive (AQD) 2008 are proposed and tested. The suggested approach builds on the target indicator (Jolliff et al., 2009) as support to the relative directive error, the current official statistical parameter as defined in the AQD (EEA, 2011), for quantitatively estimating model performances in air quality modelling applications. This study describes the advantages of using the target compared to the actual limitations of RDE and addresses the main links between the target and some 'traditional' statistical indicators (MFB, R, FAC2, σ). It also describes the application of this methodology to NO<sub align="right"> 2 , O<sub align="right"> 3 and PM<sub align="right"> 10 concentrations on three different model-observations datasets. Among these datasets two focus on the urban areas of Madrid and London and include modelled results provided by the air quality models CMAQ and ADMS-Urban for years 2007 and 2008 respectively. One other dataset (POMI) covering the Po valley and including multiple model results has also been tested for year 2005.