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| 024 | 7 | _ | |a 10.5194/acpd-15-6277-2015 |2 doi |
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| 037 | _ | _ | |a FZJ-2015-01918 |
| 082 | _ | _ | |a 550 |
| 100 | 1 | _ | |a Wagner, A. |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Evaluation of the MACC operational forecast system – potential and challenges of global near-real-time modelling with respect to reactive gases in the troposphere |
| 260 | _ | _ | |a Katlenburg-Lindau |c 2015 |b EGU |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1444212207_7772 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
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| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
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| 520 | _ | _ | |a Monitoring Atmospheric Composition and Climate (MACC/MACCII) currently represents the European Union's Copernicus Atmosphere Monitoring Service (CAMS) (http://www.copernicus.eu), which will become fully operational in the course of 2015. The global near-real-time MACC model production run for aerosol and reactive gases provides daily analyses and 5 day forecasts of atmospheric composition fields. It is the only assimilation system world-wide that is operational to produce global analyses and forecasts of reactive gases and aerosol fields. We have investigated the ability of the MACC analysis system to simulate tropospheric concentrations of reactive gases (CO, O3, and NO2) covering the period between 2009 and 2012. A validation was performed based on CO and O3 surface observations from the Global Atmosphere Watch (GAW) network, O3 surface observations from the European Monitoring and Evaluation Programme (EMEP) and furthermore, NO2 tropospheric columns derived from the satellite sensors SCIAMACHY and GOME-2, and CO total columns derived from the satellite sensor MOPITT. The MACC system proved capable of reproducing reactive gas concentrations in consistent quality, however, with a seasonally dependent bias compared to surface and satellite observations: for northern hemispheric surface O3 mixing ratios, positive biases appear during the warm seasons and negative biases during the cold parts of the years, with monthly Modified Normalised Mean Biases (MNMBs) ranging between −30 and 30% at the surface. Model biases are likely to result from difficulties in the simulation of vertical mixing at night and deficiencies in the model's dry deposition parameterization. Observed tropospheric columns of NO2 and CO could be reproduced correctly during the warm seasons, but are mostly underestimated by the model during the cold seasons, when anthropogenic emissions are at a highest, especially over the US, Europe and Asia. Monthly MNMBs of the satellite data evaluation range between −110 and 40% for NO2 and at most −20% for CO, over the investigated regions. The underestimation is likely to result from a combination of errors concerning the dry deposition parameterization and certain limitations in the current emission inventories, together with an insufficiently established seasonality in the emissions. |
| 536 | _ | _ | |a 243 - Tropospheric trace substances and their transformation processes (POF3-243) |0 G:(DE-HGF)POF3-243 |c POF3-243 |f POF III |x 0 |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 1 |
| 536 | _ | _ | |a MACC II - Monitoring Atmospheric Composition and Climate Interim Implementation (283576) |0 G:(EU-Grant)283576 |c 283576 |f FP7-SPACE-2011-1 |x 2 |
| 588 | _ | _ | |a Dataset connected to CrossRef, juser.fz-juelich.de |
| 700 | 1 | _ | |a Blechschmidt, A.-M. |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Bouarar, I. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Brunke, E.-G. |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Clerbaux, C. |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Cupeiro, M. |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Cristofanelli, P. |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Eskes, H. |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Flemming, J. |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Flentje, H. |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a George, M. |0 P:(DE-HGF)0 |b 10 |
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| 700 | 1 | _ | |a Ries, L. |0 P:(DE-HGF)0 |b 16 |
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| 773 | _ | _ | |a 10.5194/acpd-15-6277-2015 |g Vol. 15, no. 5, p. 6277 - 6335 |0 PERI:(DE-600)2069857-4 |n 5 |p 6277 - 6335 |t Atmospheric chemistry and physics / Discussions |v 15 |y 2015 |x 1680-7375 |
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