Illia Shevchenko

King Abdullah University of Science and Technology

Papers

3

Total Citations

170

H-Index

3

About

Illia Shevchenko is an atmospheric scientist specializing in aerosol air pollution, dust dynamics, and regional climate modeling, with a particular focus on the Middle East and Arabian Peninsula. His research leverages advanced data assimilation products and high-resolution numerical modeling to disentangle the complex interplay between natural and anthropogenic sources of atmospheric particulates — a critical challenge in one of the world's most dust-prone and rapidly industrializing regions. Shevchenko's most influential work, garnering over 140 citations, employs a powerful combination of NASA's MERRA-2 reanalysis, the Copernicus Atmosphere Monitoring Service (CAMS), and the WRF-Chem regional model at 10 km resolution to assess aerosol pollution across the Middle East. This multi-framework approach has provided researchers and policymakers with robust, high-fidelity characterizations of regional air quality. Complementing this, his mineralogical and gravimetric analysis of dust deposition along the Red Sea coastal plain — conducted through field sampling at King Abdullah University — has advanced understanding of how Saharan and Arabian dust contributes to marine and terrestrial ecosystem impacts. Together, his contributions represent meaningful progress in quantifying atmospheric dust burden in a region where such knowledge is both scientifically significant and environmentally urgent.

Research Focus

Key Achievements

3
H-Index
3
Papers
170
Total Citations
57
Avg Citations/Paper
🏆 Most Cited Paper
Assessment of natural and anthropogenic aerosol air pollution in the Middle East using MERRA-2, CAMS data assimilation products, and high-resolution WRF-Chem model simulations
144 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: King Abdullah University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago