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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/acp-2017-877
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
22 Sep 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).
An assessment of aerosol optical properties from remote sensing observations and regional chemistry-climate coupled models over Europe
Laura Palacios-Peña1, Rocío Baró1,2, Alexander Baklanov3, Alessandra Balzarini4, Dominik Brunner5, Renate Forkel6, Marcus Hirtl2, Luka Honzak7, José María López-Romero1, Juan Luis Pérez8, Guido Pirovano4, Roberto San José8, Wolfram Schröder9, Johannes Werhahn6, Ralf Wolke9, Rahela Zabkar10, and Pedro Jiménez-Guerrero1 1Department of Physics, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
2Section Chemical Weather Forecasts, Division Data/Methods/Modeling, ZAMG - Zentralanstalt für Meteorologie und Geodynamik, Austria
3World Meteorological Organization, Geneve, Switzerland
4Ricerca sul Sistema Energetico (RSE), Italy
5Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Switzerland
6Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung, Atmosphärische Umweltforschung (IMK-IFU), Germany
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. Atmospheric aerosols modify the radiative budget of the Earth due to their optical, microphysical and chemical properties, and are considered one of the most uncertain forcing agents. In order to characterise the uncertainties associated with satellite and modelling approaches to represent aerosol optical properties, their representation by different remote sensing sensors and regional online coupled chemistry-climate models over Europe is evaluated. This work also characterises whether the inclusion of aerosol-radiation (ARI) or aerosol-cloud interactions (ACI) helps improve the skills of modelling outputs.

Two case studies were selected within the EuMetChem COST Action ES1004 framework, when important aerosol episodes in 2010 all over Europe took place: a Russian wildfire episode and a Saharan desert dust outbreak that covered most of Mediterranean Sea. The model data came from different regional air quality-climate simulations performed by working group 2 of EuMetChem, which differed according to whether ARI or ACI was included or not. The remote sensing data came from three different sensors: MODIS, OMI and SeaWIFS. The evaluation used classical statistical metrics to first compare satellite data versus the ground-based instrument network (AERONET) and to then model versus the observational data (both satellite and ground-based). The evaluated variables were aerosol optical depth (AOD) and the Angström exponent (AE) at different wavelengths.

Regarding the uncertainty in the satellite representation of AOD, MODIS presented the best agreement with the AERONET observations compared to other satellite AOD observations. The differences found between remote sensing sensors highlighted the uncertainty in the observations, which have to be taken into account when evaluating models. When modelling results were considered, a common trend for underestimating high AOD levels was observed. For the AE, models tended to underestimate its variability, except when considering a sectional approach in the aerosol representation in the models. The modelling results showed better skills when ARI+ACI interactions were included; hence this improvement in the representation of AOD (above 30 % in the model error) and AE (between 20 and 75 %) is important to provide a better description of aerosol-radiation-cloud interactions in regional climate models.


Citation: Palacios-Peña, L., Baró, R., Baklanov, A., Balzarini, A., Brunner, D., Forkel, R., Hirtl, M., Honzak, L., López-Romero, J. M., Pérez, J. L., Pirovano, G., San José, R., Schröder, W., Werhahn, J., Wolke, R., Zabkar, R., and Jiménez-Guerrero, P.: An assessment of aerosol optical properties from remote sensing observations and regional chemistry-climate coupled models over Europe, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-877, in review, 2017.
Laura Palacios-Peña et al.
Laura Palacios-Peña et al.
Laura Palacios-Peña et al.

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Short summary
Atmospheric aerosols modify the radiative budget of the Earth, and it is therefore mandatory to have an accurate representation of their optical properties for understanding their climatic role. This work therefore evaluates the skill in the representation of optical properties by different remote sensing sensors and regional online coupled chemistry-climate models over Europe.
Atmospheric aerosols modify the radiative budget of the Earth, and it is therefore mandatory to...
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