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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 3
Geosci. Model Dev., 11, 989-1008, 2018
https://doi.org/10.5194/gmd-11-989-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: The Modular Earth Submodel System (MESSy) (ACP/GMD inter-journal...

Geosci. Model Dev., 11, 989-1008, 2018
https://doi.org/10.5194/gmd-11-989-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 16 Mar 2018

Development and technical paper | 16 Mar 2018

Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch)

Klaus Klingmüller1, Swen Metzger2,4, Mohamed Abdelkader1,3, Vlassis A. Karydis1, Georgiy L. Stenchikov3, Andrea Pozzer1, and Jos Lelieveld1,2 Klaus Klingmüller et al.
  • 1Max Planck Institute for Chemistry, P.O. Box 3060, Mainz, Germany
  • 2The Cyprus Institute, P.O. Box 27456, Nicosia, Cyprus
  • 3King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
  • 4ResearchConcepts io GmbH, Freiburg im Breisgau, Germany

Abstract. To improve the aeolian dust budget calculations with the global ECHAM/MESSy atmospheric chemistry–climate model (EMAC), which combines the Modular Earth Submodel System (MESSy) with the ECMWF/Hamburg (ECHAM) climate model developed at the Max Planck Institute for Meteorology in Hamburg based on a weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF), we have implemented new input data and updates of the emission scheme.

The data set comprises land cover classification, vegetation, clay fraction and topography. It is based on up-to-date observations, which are crucial to account for the rapid changes of deserts and semi-arid regions in recent decades. The new Moderate Resolution Imaging Spectroradiometer (MODIS)-based land cover and vegetation data are time dependent, and the effect of long-term trends and variability of the relevant parameters is therefore considered by the emission scheme. All input data have a spatial resolution of at least 0.1° compared to 1° in the previous version, equipping the model for high-resolution simulations.

We validate the updates by comparing the aerosol optical depth (AOD) at 550nm wavelength from a 1-year simulation at T106 (about 1.1°) resolution with Aerosol Robotic Network (AERONET) and MODIS observations, the 10µm dust AOD (DAOD) with Infrared Atmospheric Sounding Interferometer (IASI) retrievals, and dust concentration and deposition results with observations from the Aerosol Comparisons between Observations and Models (AeroCom) dust benchmark data set. The update significantly improves agreement with the observations and is therefore recommended to be used in future simulations.

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More than 1 billion tons of mineral dust particles are raised into the atmosphere every year, which has a significant impact on climate, society and ecosystems. The location, time and amount of dust emissions depend on surface and wind conditions. In the atmospheric chemistry–climate model EMAC, we have updated the relevant surface data and equations. Our validation shows that the updates substantially improve the agreement of model results and observations.
More than 1 billion tons of mineral dust particles are raised into the atmosphere every year,...
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