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| Home > Workflow collections > Public records > Re-analysis of tropospheric sulfate aerosol and ozone for the period 1980-2005 using the aerosol-chemistry-climate model ECHAM5-HAMMOZ > print |
| 001 | 16949 | ||
| 005 | 20240712101002.0 | ||
| 024 | 7 | _ | |a 10.5194/acp-11-9563-2011 |2 DOI |
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| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 550 |
| 084 | _ | _ | |2 WoS |a Meteorology & Atmospheric Sciences |
| 100 | 1 | _ | |a Pozzoli, L. |b 0 |0 P:(DE-HGF)0 |
| 245 | _ | _ | |a Re-analysis of tropospheric sulfate aerosol and ozone for the period 1980-2005 using the aerosol-chemistry-climate model ECHAM5-HAMMOZ |
| 260 | _ | _ | |a Katlenburg-Lindau |b EGU |c 2011 |
| 300 | _ | _ | |a 9563 - 9594 |
| 336 | 7 | _ | |a Journal Article |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |
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| 440 | _ | 0 | |a Atmospheric Chemistry and Physics |x 1680-7316 |0 9601 |v 11 |
| 500 | _ | _ | |3 POF3_Assignment on 2016-02-29 |
| 500 | _ | _ | |a This work has received partial funding from the European Community's Seventh Framework Programme (FP7) in the project PEGASOS (grant agreement 265148). We greatly acknowledge Sebastian Rast at Max Planck Institute for Meteorology, Hamburg, for the scientific and technical support. We would like also to thank the Deutsches Klimarechenzentrum (DKRZ) and the Forschungszentrum Julich for the computing resources and technical support. We would like to thank the EMEP, WDCGG, and CASTNET networks for providing ozone and sulfate measurements over Europe and North America. |
| 520 | _ | _ | |a Understanding historical trends of trace gas and aerosol distributions in the troposphere is essential to evaluate the efficiency of existing strategies to reduce air pollution and to design more efficient future air quality and climate policies. We performed coupled photochemistry and aerosol microphysics simulations for the period 1980-2005 using the aerosol-chemistry-climate model ECHAM5-HAMMOZ, to assess our understanding of long-term changes and interannual variability of the chemical composition of the troposphere, and in particular of ozone and sulfate concentrations, for which long-term surface observations are available. In order to separate the impact of the anthropogenic emissions and natural variability on atmospheric chemistry, we compare two model experiments, driven by the same ECMWF re-analysis data, but with varying and constant anthropogenic emissions, respectively. Our model analysis indicates an increase of ca. 1 ppbv (0.055 +/- 0.002 ppbv yr(-1)) in global average surface O-3 concentrations due to anthropogenic emissions, but this trend is largely masked by the larger O-3 anomalies due to the variability of meteorology and natural emissions. The changes in meteorology (not including stratospheric variations) and natural emissions account for the 75% of the total variability of global average surface O-3 concentrations. Regionally, annual mean surface O-3 concentrations increased by 1.3 and 1.6 ppbv over Europe and North America, respectively, despite the large anthropogenic emission reductions between 1980 and 2005. A comparison of winter and summer O-3 trends with measurements shows a qualitative agreement, except in North America, where our model erroneously computed a positive trend. Simulated O-3 increases of more than 4 ppbv in East Asia and 5 ppbv in South Asia can not be corroborated with long-term observations. Global average sulfate surface concentrations are largely controlled by anthropogenic emissions. Globally natural emissions are an important driver determining AOD variations. Regionally, AOD decreased by 28% over Europe, while it increased by 19% and 26% in East and South Asia. The global radiative perturbation calculated in our model for the period 1980-2005 was rather small (0.05 W m(-2) for O-3 and 0.02 W m(-2) for total aerosol direct effect), but larger perturbations ranging from -0.54 to 1.26 W m(-2) are estimated in those regions where anthropogenic emissions largely varied. |
| 536 | _ | _ | |a Atmosphäre und Klima |0 G:(DE-Juel1)FUEK491 |c P23 |2 G:(DE-HGF) |x 0 |
| 536 | _ | _ | |a PEGASOS - Pan-European Gas-AeroSol-climate interaction Study (265148) |0 G:(EU-Grant)265148 |c 265148 |x 1 |f FP7-ENV-2010 |
| 588 | _ | _ | |a Dataset connected to Web of Science |
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| 700 | 1 | _ | |a Janssens-Maenhout, G. |b 1 |0 P:(DE-HGF)0 |
| 700 | 1 | _ | |a Diehl, T. |b 2 |0 P:(DE-HGF)0 |
| 700 | 1 | _ | |a Bey, I. |b 3 |0 P:(DE-HGF)0 |
| 700 | 1 | _ | |a Schultz, M.G. |b 4 |u FZJ |0 P:(DE-Juel1)6952 |
| 700 | 1 | _ | |a Feichter, J. |b 5 |0 P:(DE-HGF)0 |
| 700 | 1 | _ | |a Vignati, E. |b 6 |0 P:(DE-HGF)0 |
| 700 | 1 | _ | |a Dentener, F. |b 7 |0 P:(DE-HGF)0 |
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| 856 | 7 | _ | |u http://dx.doi.org/10.5194/acp-11-9563-2011 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/16949/files/acp-11-9563-2011.pdf |y OpenAccess |
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