Abstract
Dust storms are natural hazards and affect many countries of the world especially the Middle East. So in order to prevent dustdamages, to a certain extent, dust prediction and simulation should be deemed vital. For this purpose, regional-scale simulations are compared in this study, by means of WRF-Chem using five emission schemes. Based on the model outputs, satellite imagery, and backtrajectory analysis, it is shown that the dust particles transfer from Iran into Iraq. Furthermore, over Ilam province (south-west of Iran), the comparison of the surface concentration from different model outputs shows the results depend on the considered dust emission scheme. In general, it can be stated that choosing different dust emission schemes has a significant effect on the output of the model. Shao schemes have high sensitivity to the land surface data and the low resolution of this data in the Middle East causes some errors in dust flux simulation in the region. AFWA and GOCART schemes show more accurate results in the dust transport in the whole area compared to Shao schemes in the presented case study.
Highlights
Scientists have been trying to predict dust storms because of their effects and consequences on the lives of many people in different parts of the world
For example the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) [3] use United State Geological Survey (USGS) data from recent global coverage data with 0.5 km resolution based on Terra and Aqua satellite data over a 10-year period (2001 to 2010) to calculate the dust flux [3]
The outputs of the different dust emission schemes in WRF-Chem model show that all the schemes simulate the trend of changes in the dust concentration
Summary
Scientists have been trying to predict dust storms because of their effects and consequences on the lives of many people in different parts of the world. In dust storm investigations, factors including emission, transport, and dust deposition are considered. Various data such as soil types, vegetation covers and meteorological data that have an important effect on the surface flux calculations are used for the simulation of a dust storm. For example the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) [3] use United State Geological Survey (USGS) data from recent global coverage data with 0.5 km resolution based on Terra and Aqua satellite data over a 10-year period (2001 to 2010) to calculate the dust flux [3]. In this study 5 different dust emission schemes were used for simulation of an intense dust storm from that covered a large part of the west, southwest, and south of Iran from October 28 to 31, 2017
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
