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Discussion papers | Copyright
https://doi.org/10.5194/acp-2018-114
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Feb 2018

Research article | 12 Feb 2018

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This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

Comparison of regional meteorology-chemistry models with satellite cloud products over Europe

Rocío Baró1,a, Pedro Jiménez-Guerrero1, Martin Stengel2, Dominik Brunner3, Gabriele Curci4,5, Renate Forkel6, Lucy Neal7, Laura Palacios-Peña1, Nicholas Savage7, Martijn Schaap8, Paolo Tuccella4,5, Hugo Denier van der Gon8, and Stefano Galmarini9 Rocío Baró et al.
  • 1Department of Physics, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
  • 2Deutscher Wetterdienst (DWD) Frankfurter Str. 135 Offenbach, Germany
  • 3Laboratory for Air Pollution and Environmental Technology, Empa, Dübendorf, Switzerland
  • 4Department of Physical and Chemical Sciences, University L’Aquila, L’Aquila, Italy
  • 5Center of Excellence in Telesening of Environment and Model Prediction of Severe Events (CETEMPS), University of L’Aquila, L’Aquila (AQ), Italy
  • 6Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung, Atmosphärische Umweltforschung (IMK-IFU), Germany
  • 7Met Office, FitzRoy Road, Exeter EX1 3PB, UK
  • 8Netherlands Organization for Applied Scientific Research (TNO), Utrecht, the Netherlands
  • 9European Commission, Joint Research Centre (JRC), Directorate for Energy, Transport and Climate, Air and Climate Unit, Ispra (VA), Italy
  • anow at: Section Chemical Weather Forecasts, Division Data/Methods/Modelling, ZAMG – Zentralanstalt für Meteorologie und Geodynamik, Vienna, Austria

Abstract. On-line coupled meteorology-chemistry models permit the description of the aerosol-radiation (ARI) and aerosol-cloud interactions (ACI). The effect of atmospheric aerosols remains uncertain in climate modeling. One of the reasons is their variability in time and space, which could modify cloud microphysics and impact cloud radiative properties and climate. The aim of this work is to assess the representation of the ARI+ACI interactions in regional-scale coupled models when simulating the climate-chemistry-cloud-radiation system. The evaluated simulations are run under the umbrella of the Air Quality Model Evaluation International Initiative (AQMEII) Phase 2 and include ARI+ACI interactions. The model simulations are evaluated against observational data from the European Space Agency (ESA) Cloud_cci project. Results show an underestimation (overestimation) of cloud fraction (CFR) over land (ocean) areas. Lower bias and mean absolute error (MAE) are found in the ensemble mean. Cloud optical depth (COD) and cloud liquid ice path (CIP) are generally underestimated over the whole domain. MAE was in line with the bias. Cloud liquid water path (CWP) bias is broadly overestimated. Temporal correlation points to a general positive correlation between models and satellite observations. Finally, regarding the spatial variability CFR has the best capacity to represent it, whereas COD, CIP and CWP indicate a lower capacity. The differences found can be attributed to differences in the microphysics schemes used, for instance, the number of ice hydrometeors has seen to be relevant as well as the prognostic/diagnostic treatment of the CWP.

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Particles in the atmosphere, such as pollution, desert dust and volcanic ash have an impact on the meteorology. They interact with the incoming radiation resulting in a cooling effect of the atmosphere. Nowadays, the use of meteorology and chemistry models help us to understand these processes, but there are a lot of uncertainties. The goal of this work is to evaluate how these interactions are represented in the models by comparing them to Satellite data to see how close they are to reality.
Particles in the atmosphere, such as pollution, desert dust and volcanic ash have an impact on...
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