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000012508 0247_ $$2DOI$$a10.5194/gmd-3-501-2010
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000012508 041__ $$aeng
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000012508 084__ $$2WoS$$aGeosciences, Multidisciplinary
000012508 1001_ $$0P:(DE-HGF)0$$aElguindi, N.$$b0
000012508 245__ $$aCurrent status of the ability of the GEMS/MACC models to reproduce the tropospheric CO vertical distribution as measured by MOZAIC
000012508 260__ $$aKatlenburg-Lindau$$bCopernicus$$c2010
000012508 300__ $$a501 - 518
000012508 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000012508 440_0 $$021722$$aGeoscientific Model Development$$v3$$x1991-959X$$y2
000012508 500__ $$aThis research was carried out as part of the GEMS project, which was funded by the European Commission under the EU Sixth Research Framework Programme, contract number SIP4-CT-2004-516099 and the MACC project, which is funded by the European Comission under the EU 7th framework programme (Grant agreement 218793). The authors acknowledge the strong support of the European Commission, Airbus, and the Airlines (Lufthansa, Austrian, Air France) who carry free of charge the MOZAIC equipment and perform the maintenance since 1994. MOZAIC is presently funded by INSU-CNRS (France), Meteo-France, and Forschungszentrum (FZJ, Julich, Germany). The MOZAIC data based is supported by ETHER (CNES and INSU-CNRS).
000012508 520__ $$aVertical profiles of CO taken from the MOZAIC aircraft database are used to globally evaluate the performance of the GEMS/MACC models, including the ECMWF-Integrated Forecasting System (IFS) model coupled to the CTM MOZART-3 with 4DVAR data assimilation for the year 2004. This study provides a unique opportunity to compare the performance of three offline CTMs (MOZART-3, MOCAGE and TM5) driven by the same meteorology as well as one coupled atmosphere/CTM model run with data assimilation, enabling us to assess the potential gain brought by the combination of online transport and the 4DVAR chemical satellite data assimilation.First we present a global analysis of observed CO seasonal averages and interannual variability for the years 2002 2007. Results show that despite the intense boreal forest fires that occurred during the summer in Alaska and Canada, the year 2004 had comparably lower tropospheric CO concentrations. Next we present a validation of CO estimates produced by the MACC models for 2004, including an assessment of their ability to transport pollutants originating from the Alaskan/Canadian wildfires. In general, all the models tend to underestimate CO. The coupled model and the CTMs perform best in Europe and the US where biases range from 0 to -25% in the free troposphere and from 0 to -50% in the surface and boundary layers (BL). Using the 4DVAR technique to assimilate MOPITT V4 CO significantly reduces biases by up to 50% in most regions. However none of the models, even the IFS-MOZART-3 coupled model with assimilation, are able to reproduce well the CO plumes originating from the Alaskan/Canadian wildfires at downwind locations in the eastern US and Europe. Sensitivity tests reveal that deficiencies in the fire emissions inventory and injection height play a role.
000012508 536__ $$0G:(DE-Juel1)FUEK491$$2G:(DE-HGF)$$aAtmosphäre und Klima$$cP23$$x0
000012508 536__ $$0G:(EU-Grant)218793$$aMACC - Monitoring Atmospheric Composition and Climate (218793)$$c218793$$fFP7-SPACE-2007-1$$x1
000012508 588__ $$aDataset connected to Web of Science
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000012508 7001_ $$0P:(DE-HGF)0$$aClark, H.$$b1
000012508 7001_ $$0P:(DE-HGF)0$$aOrdonez, C.$$b2
000012508 7001_ $$0P:(DE-HGF)0$$aThouret, V.$$b3
000012508 7001_ $$0P:(DE-HGF)0$$aFlemming, J.$$b4
000012508 7001_ $$0P:(DE-Juel1)3709$$aStein, O.$$b5$$uFZJ
000012508 7001_ $$0P:(DE-HGF)0$$aHuijen, V.$$b6
000012508 7001_ $$0P:(DE-HGF)0$$aMoinat, P.$$b7
000012508 7001_ $$0P:(DE-HGF)0$$aInness, A.$$b8
000012508 7001_ $$0P:(DE-HGF)0$$aPeuch, V.-H.$$b9
000012508 7001_ $$0P:(DE-HGF)0$$aStohl, A.$$b10
000012508 7001_ $$0P:(DE-HGF)0$$aTurquety, S.$$b11
000012508 7001_ $$0P:(DE-HGF)0$$aCammas, J.-P.$$b12
000012508 7001_ $$0P:(DE-HGF)0$$aAthier, G.$$b13
000012508 7001_ $$0P:(DE-HGF)0$$aCammas, J.-P.$$b14
000012508 7001_ $$0P:(DE-Juel1)6952$$aSchultz, M.$$b15$$uFZJ
000012508 773__ $$0PERI:(DE-600)2456725-5$$a10.5194/gmd-3-501-2010$$gVol. 3, p. 501 - 518$$p501 - 518$$q3<501 - 518$$tGeoscientific model development$$v3$$x1991-959X$$y2010
000012508 8567_ $$uhttp://dx.doi.org/10.5194/gmd-3-501-2010
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000012508 9141_ $$y2010
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000012508 9131_ $$0G:(DE-Juel1)FUEK491$$aDE-HGF$$bErde und Umwelt$$kP23$$lAtmosphäre und Klima$$vAtmosphäre und Klima$$x0$$zvormals P22
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