Investigating the Coherence Between a Global and a Limited Area Model for Dust Particle Production and Distribution in N-Africa

  • Marina AstithaEmail author
  • Chris Spyrou
  • Serafim Kontos
  • George Kallos
  • Jos Lelieveld
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


The choice of the parameterization scheme, the input parameters and the spatial resolution are options that can provide significantly different modelling results for the processes of desert dust production and transport. This work will discuss the level of coherence between a regional and a global modelling system with regards to the simulation of desert dust production and transport in N-Africa. The limited-area model SKIRON/Dust and the atmospheric chemistry general circulation model EMAC (ECHAM5/MESSy2 Atmospheric Chemistry) have been applied using a common physically-based dust emission scheme. The differences between the two modelling systems and the comparison with the observations will be analysed and discussed, as well as the plans for future work in their offline coupling.


Dust Particle Saharan Dust Desert Dust Rapid Radiative Transfer Model Dust Outbreak 
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Part of the research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement n° 226144. We also thank Dr B. Marticorena for kindly providing us with the surface features for N-Africa and NE-Asia.


  1. 1.
    Astitha M, Lelieveld J, Abdel Kader M, Pozzer A, de Meij A (2012) Parameterization of dust emissions in the global atmospheric chemistry-climate model EMAC: impact of nudging and soil properties. Atmos Chem Phys 12:11057–11083. doi: 10.5194/acp-12-11057-2012 CrossRefGoogle Scholar
  2. 2.
    Jöckel P, Kerkweg A, Pozzer A, Sander R, Tost H, Riede H, Baumgaertner A, Gromov S, Kern B (2010) Development cycle 2 of the Modular Earth Submodel System (MESSy2). Geosci Model Dev 3:717–752. doi: 10.5194/gmd-3-717-2010 CrossRefGoogle Scholar
  3. 3.
    Laurent B, Tegen I, Heinold B, Schepanski K, Weinzierl B, Esselborn M (2010) A model study of Saharan dust emissions and distributions during the SAMUM‐1 campaign. J Geophys Res 115:D21210. doi: 10.1029/2009JD012995 CrossRefGoogle Scholar
  4. 4.
    Marticorena B et al (1997) Modeling the atmospheric dust cycle: 2. Simulation of Saharan dust sources. J Geophys Res 102:4387–4404CrossRefGoogle Scholar
  5. 5.
    Spyrou C, Kallos G, Mitsakou C, Athanasiadis P, Kalogeri C, Iacono MJ (2013) Modeling the radiative effects of desert dust on weather and regional climate. Atmos Chem Phys 13:5489–5504CrossRefGoogle Scholar
  6. 6.
    Spyrou C, Mitsakou C, Kallos G, Louka P, Vlastou G (2010) An improved limited area model for describing the dust cycle in the atmosphere. J Geophys Res 115:D17211. doi: 10.1029/2009JD013682 CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Marina Astitha
    • 1
    Email author
  • Chris Spyrou
    • 2
  • Serafim Kontos
    • 2
  • George Kallos
    • 2
  • Jos Lelieveld
    • 3
    • 4
  1. 1.Department of Civil and Environmental EngineeringUniversity of ConnecticutStorrsUSA
  2. 2.Atmospheric Modeling and Weather Forecasting GroupUniversity of Athens, School of PhysicsAthensGreece
  3. 3.EEWRCThe Cyprus InstituteNicosiaCyprus
  4. 4.Max Planck Institute for ChemistryMainzGermany

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