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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2018-251
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2018-251
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 06 Nov 2018

Model description paper | 06 Nov 2018

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Development of a dynamic dust-source map for NMME-DREAM v1.0 model based on MODIS NDVI over the Arabian Peninsula

Stavros Solomos1,2, Abdelgadir Abuelgasim2, Christos Spyrou3, Ioannis Binietoglou4, and Slobodan Nickovic5 Stavros Solomos et al.
  • 1Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing (IAASARS), National Observatory of Athens, Athens, Greece
  • 2Department of Geography and Urban Planning, National Space Science and Technology Center, United Arab Emirates University
  • 3Department of Geography, Harokopio University of Athens (HUA), El. Venizelou Str. 70, 17671 Athens, Greece
  • 4National Institute of R & D for Optoelectronics, Magurele, Ilfov, Romania
  • 5Republic Hydrometeorological Service of Serbia, Belgrade, Serbia

Abstract. We developed a time dependent dust source map for NMME-DREAM v1.0 model based on the satellite MODIS Normalized Digital Vegetation Index (NDVI). Areas with NDVI<0.1 are classified as active dust sources. The new modeling system is tested for the analysis of dust particles dispersion over SW Asia using a mesoscale model grid increment of 0.1°×0.1°km for a period of 1 year (2016). Our results indicate significant deviations in simulated Aerosol Optical Depths compared to the static dust-source approach and general increase in dustloads over the selected domain. Comparison with MODIS Aerosol Optical Depth (AOD) indicates a more realistic spatial distribution of dust in the dynamic source simulations compared to the static dust sources approach. The modeled AOD bias is improved from −0.140 to 0.083 for the case of dust events (i.e. for AOD>0.25) and from −0.933 to −0.424 for dust episodes with AOD>1. This new development can be easily applied to other time periods, models and different areas worldwide for a local fine tuning of the parameterization and assessment of its performance.

Stavros Solomos et al.
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Short summary
In this research we developed a time dependent dust source map for NMME-DREAM v1.0 model based on MODIS Normalized Digital Vegetation Index (NDVI). Areas with NDVI < 0.1 are classified as active dust sources. The new modeling system is tested for the analysis of dust particles dispersion over SW Asia using a mesoscale model grid increment of 0.1° × 0.1° km for a period of 1 year. The results show deviations in simulated AOD compared to static dust-source approach and increase in dustloads.
In this research we developed a time dependent dust source map for NMME-DREAM v1.0 model based...
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