Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
doi:10.5194/acp-2016-1157
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
02 Jan 2017
Review status
A revision of this discussion paper is under review for the journal Atmospheric Chemistry and Physics (ACP).
Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of on-line coupled models
Rocío Baró1, Laura Palacios-Peña1, Alexander Baklanov2, Alessandra Balzarini3, Dominik Brunner4, Renate Forkel5, Marcus Hirtl6, Luka Honzak7, Juan Luis Pérez8, Guido Pirovano3, Roberto San José8, Wolfram Schröder9, Johannes Werhahn5, Ralf Wolke9, Rahela Zabkar10, and Pedro Jiménez-Guerrero1 1Department of Physics, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
2World Meteorological Organization, Geneve, Switzerland
3Ricerca sul Sistema Energetico (RSE), Italy
4Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Switzerland
5Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung, Atmosphärische Umweltforschung (IMK-IFU), Germany
6Section Chemical Weather Forecasts, Division Data/Methods/Modeling, ZAMG - Zentralanstalt für Meteorologie und Geodynamik, Austria
7BO-MO d.o.o, Slovenia
8Environmental Software and Modelling Group, Computer Science School - Technical University of Madrid, Spain
9Leibniz Institute for Tropospheric Research, Permoserstr., Germany
10Slovenian Environment Agency, Slovenia
Abstract. The climate effect of atmospheric aerosols is associated to their influence on the radiative budget of the Earth due to direct aerosol-radiation interactions (ARI) and indirect effects, resulting from aerosol-cloud interactions (ACI). On-line coupled meteorology-chemistry models permit the description of these effects on the basis of simulated atmospheric aerosol concentrations, although there is still some uncertainty associated to the use of these models. In this sense, the objective of this work is to assess whether the inclusion of atmospheric aerosol radiative feedbacks of an ensemble of on-line coupled models improves the simulation results for maximum, mean and minimum temperature over Europe. The evaluated model outputs originate from EuMetChem COST Action ES1004 simulations for Europe, differing in the inclusion (or omission) of ARI and ACI in the various models. The case studies cover two important atmospheric aerosol episodes over Europe in the year 2010, a heat wave and forest fires episode (July–August 2010) and a more humid episode including a Saharan desert dust outbreak in October 2010. The simulation results are evaluated against observational data from E-OBS gridded database. The results indicate that, although there is only a slight improvement in the bias of the simulation results when including the radiative feedbacks, the spatio-temporal variability and correlation coefficients are improved for the cases under study when atmospheric aerosol radiative effects are included, especially for those areas closest to emissions sources of atmospheric aerosols.

Citation: Baró, R., Palacios-Peña, L., Baklanov, A., Balzarini, A., Brunner, D., Forkel, R., Hirtl, M., Honzak, L., Pérez, J. L., Pirovano, G., San José, R., Schröder, W., Werhahn, J., Wolke, R., Zabkar, R., and Jiménez-Guerrero, P.: Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of on-line coupled models, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-1157, in review, 2017.
Rocío Baró et al.
Rocío Baró et al.
Rocío Baró et al.

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Short summary
The objective of this work is to assess whether the inclusion of atmospheric aerosol-radiation-cloud interactions in an ensemble of on-line regional chemistry/climate models improves the simulation results for maximum, mean and minimum temperature over Europe. The results indicate that including these feedbacks clearly improves the spatio-temporal variability of the temperature signal simulated by current models, having broad implications for reducing the uncertainty in climate projections.
The objective of this work is to assess whether the inclusion of atmospheric...
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