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000189215 1001_ $$0P:(DE-HGF)0$$aFlemming, J.$$b0$$eCorresponding Author
000189215 245__ $$aTropospheric chemistry in the Integrated Forecasting System of ECMWF
000189215 260__ $$aKatlenburg-Lindau$$bCopernicus$$c2015
000189215 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1429700656_1056
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000189215 520__ $$aA representation of atmospheric chemistry has been included in the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). The new chemistry modules complement the aerosol modules of the IFS for atmospheric composition, which is named C-IFS. C-IFS for chemistry supersedes a coupled system in which chemical transport model (CTM) Model for OZone and Related chemical Tracers 3 was two-way coupled to the IFS (IFS-MOZART). This paper contains a description of the new on-line implementation, an evaluation with observations and a comparison of the performance of C-IFS with MOZART and with a re-analysis of atmospheric composition produced by IFS-MOZART within the Monitoring Atmospheric Composition and Climate (MACC) project. The chemical mechanism of C-IFS is an extended version of the Carbon Bond 2005 (CB05) chemical mechanism as implemented in CTM Transport Model 5 (TM5). CB05 describes tropospheric chemistry with 54 species and 126 reactions. Wet deposition and lightning nitrogen monoxide (NO) emissions are modelled in C-IFS using the detailed input of the IFS physics package. A 1 year simulation by C-IFS, MOZART and the MACC re-analysis is evaluated against ozonesondes, carbon monoxide (CO) aircraft profiles, European surface observations of ozone (O3), CO, sulfur dioxide (SO2) and nitrogen dioxide (NO2) as well as satellite retrievals of CO, tropospheric NO2 and formaldehyde. Anthropogenic emissions from the MACC/CityZen (MACCity) inventory and biomass burning emissions from the Global Fire Assimilation System (GFAS) data set were used in the simulations by both C-IFS and MOZART. C-IFS (CB05) showed an improved performance with respect to MOZART for CO, upper tropospheric O3, and wintertime SO2, and was of a similar accuracy for other evaluated species. C-IFS (CB05) is about 10 times more computationally efficient than IFS-MOZART
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000189215 7001_ $$0P:(DE-Juel1)151210$$aHuijnen, V.$$b1
000189215 7001_ $$0P:(DE-HGF)0$$aArteta, J.$$b2
000189215 7001_ $$0P:(DE-HGF)0$$aBechtold, P.$$b3
000189215 7001_ $$0P:(DE-HGF)0$$aBeljaars, A.$$b4
000189215 7001_ $$0P:(DE-HGF)0$$aBlechschmidt, A.-M.$$b5
000189215 7001_ $$0P:(DE-HGF)0$$aDiamantakis, M.$$b6
000189215 7001_ $$0P:(DE-HGF)0$$aEngelen, R. J.$$b7
000189215 7001_ $$0P:(DE-HGF)0$$aGaudel, A.$$b8
000189215 7001_ $$0P:(DE-HGF)0$$aInness, A.$$b9
000189215 7001_ $$0P:(DE-HGF)0$$aJones, L.$$b10
000189215 7001_ $$0P:(DE-HGF)0$$aJosse, B.$$b11
000189215 7001_ $$0P:(DE-HGF)0$$aKatragkou, E.$$b12
000189215 7001_ $$0P:(DE-HGF)0$$aMarecal, V.$$b13
000189215 7001_ $$0P:(DE-HGF)0$$aPeuch, V.-H.$$b14
000189215 7001_ $$0P:(DE-HGF)0$$aRichter, A.$$b15
000189215 7001_ $$0P:(DE-Juel1)6952$$aSchultz, Martin$$b16$$ufzj
000189215 7001_ $$0P:(DE-Juel1)3709$$aStein, O.$$b17$$ufzj
000189215 7001_ $$0P:(DE-HGF)0$$aTsikerdekis, A.$$b18
000189215 773__ $$0PERI:(DE-600)2456725-5$$a10.5194/gmd-8-975-2015$$gVol. 8, no. 4, p. 975 - 1003$$n4$$p975 - 1003$$tGeoscientific model development$$v8$$x1991-9603$$y2015
000189215 8564_ $$uwww.geosci-model-dev.net/8/975/2015/
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