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www.geosci-model-dev-discuss.net/3/949/2010/
doi:10.5194/gmdd-3-949-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
SMOKE for Europe – adaptation, modification and evaluation of a comprehensive emission model for Europe
1GKSS Research Center, Institute for Coastal Research, Max-Planckstr. 1, 21502 Geeshacht, Germany
2Leuphana University Lüneburg, Institute of Ecology and Environmental Chemistry, Scharnhorststraße 1, 21335 Lüneburg, Germany
3Institut fur Meteorologie, Freie Universität Berlin, Carl-Heinrich-Becker Weg 6-10, 12165 Berlin, Germany
4TNO Built Environment and Geosciences, Air Quality and Climate Team, Princetonlaan 6, Utrecht, The Netherlands
Abstract. The US EPA regional emission model SMOKE was adopted and modified to create temporally and spatially distributed emission for Europe and surrounding countries based on official reports and public domain data only. The aim is to develop a flexible model capable of creating consistent high resolution emission data for long-term runs of Chemical Transport Models (CTM). This modified version of SMOKE, called SMOKE for EUROPE (SMOKE-EU) was successfully used to create hourly gridded emissions for the timespan 1970–2010.
In this paper the SMOKE-EU model and the underlying European datasets are introduced. Emission data created by SMOKE-EU for the year 2000 are evaluated by comparison to data of three different state of the art emission models. Differences of SMOKE-EU to those models were in the same range as the differences amongst them. Further, concentrations of criteria pollutants calculated by the CTM CMAQ using the four different emission datasets were compared against EMEP measurements with hourly and daily resolution. Using SMOKE-EU emissions O3, NO2 and SO4 could be modelled most reliably. The amount of simulated concentrations within a factor of 2 (F2) of the observations for these species are: O3 (F2=0.79 N=329 197), NO2 (F2=0.55 N=11 465), and SO4 (F2=0.62 N=17 536). The lowest values were found for NH4 (F2=0.34 N=7400) and NO3 (F2=0.25 N=6184). NH4 concentrations were generally overestimated, leading to a fractional bias (FB) averaged over 22 measurement stations of (FB=0.83±0.41) while better agreements with observations were found for SO4 (FB=0.06±0.38, 51 stations) and NO3 (FB=0.13±0.75, 18 stations).
CMAQ simulations using the three other emission datasets were similar to those modelled using SMOKE-EU emissions. Highest differences where found for NH4 while O3 concentrations were almost identical. The results of this comparison confirm that it is adequate to use emissions created by SMOKE-EU as input for CTMs.
Discussion Paper (PDF, 3045 KB) Supplement (1694 KB) Interactive Discussion (Closed, 4 Comments) Final Revised Paper (GMD)
Notice on Discussion StatusCitation: Bieser, J., Aulinger, A., Matthias, V., Quante, M., and Builtjes, P.: SMOKE for Europe – adaptation, modification and evaluation of a comprehensive emission model for Europe, Geosci. Model Dev. Discuss., 3, 949-1007, doi:10.5194/gmdd-3-949-2010, 2010. Bibtex EndNote Reference Manager XML
