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GMD | Articles | Volume 12, issue 3
Geosci. Model Dev., 12, 979–988, 2019
https://doi.org/10.5194/gmd-12-979-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 979–988, 2019
https://doi.org/10.5194/gmd-12-979-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 15 Mar 2019

Model description paper | 15 Mar 2019

Development of a dynamic dust source map for NMME-DREAM v1.0 model based on MODIS Normalized Difference Vegetation Index (NDVI) over the Arabian Peninsula

Stavros Solomos et al.
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Almazrouia, M., NazrulIslama, M., Jonesa, P. D., Athara, H., and AshfaqurRahmana, M.: Recent climate change in the Arabian Peninsula: Seasonal rainfall and temperature climatology of Saudi Arabia for 1979–2009, Atmos. Res., 111, 29–45, 2012. 
Anderson, J., Hardy, E., Roach, J., and Witmer, R.: A land use and land cover classification system for use with remote sensing data, U.S. Geological Survey, United States Government Printing Office, Washington, USGS Professional Paper 964, 1976. 
Anisimov, A., Tao, W., Stenchikov, G., Kalenderski, S., Prakash, P. J., Yang, Z.-L., and Shi, M.: Quantifying local-scale dust emission from the Arabian Red Sea coastal plain, Atmos. Chem. Phys., 17, 993–1015, https://doi.org/10.5194/acp-17-993-2017, 2017. 
Boylan, J. W. and Russell, A. G.: PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models, Atmos. Environ., 40, 4946–4959, https://doi.org/10.1016/j.atmosenv.2005.09.087, 2006. 
Brown, M. E., Pinzon, J. E., Didan, K., Morisette, J. T., and Tucker, C. J.: Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-Vegetation, SeaWIFS, MODIS and Land-SAT ETM+, IEEE T. Geosci. Remote, 44, 1787–1793, 2006. 
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In this research we developed a time-dependent dust source map for NMME-DREAM v1.0 model based on the 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 particle dispersion over SW Asia using a mesoscale model grid increment of 0.1° × 0.1° km for a period of 1 year. Simulated AOD increased compared to the static dust source approach and there was an increase in dust loads.
In this research we developed a time-dependent dust source map for NMME-DREAM v1.0 model based...
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