EGU26-1447, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-1447
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 05 May, 10:45–12:30 (CEST), Display time Tuesday, 05 May, 08:30–12:30
 
Hall X5, X5.306
Spatio-temporal patterns of dust storms and population exposure across land use and land cover types
Yeganeh Soleimani1,2, Hassan Dashtian3, Amir AghaKouchak4,5,6, Kaveh Madani6, and Nima Shokri1,2,6
Yeganeh Soleimani et al.
  • 1Hamburg University of Technology, Institute of Geo‐Hydroinformatics, Hamburg, Germany
  • 2United Nations University Hub on Engineering to Face Climate Change at the Hamburg University of Technology, United Nations University Institute for Water, Environment and Health (UNU-INWEH), Hamburg, Germany
  • 3Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, Texas, USA
  • 4Department of Civil and Environmental Engineering, University of California, Irvine, California, USA
  • 5Department of Earth System Science, University of California, Irvine, California, USA
  • 6United Nations University Institute for Water, Environment and Health (UNU-INWEH), Richmond Hill, Ontario, Canada

Dust storms are driven by land-atmosphere interaction that transport dust and sand particles over vast distances. Dust storms have far-reaching impacts on air quality, ecosystems and human health, that affect hundreds of millions of people worldwide each year. Recognizing the importance of mitigating dust storm events and impacts, the United Nations has declared 2025-2034 as the Decade on Combating Sand and Dust Storms. However, a comprehensive understanding of the global distribution, seasonality, and land-surface controls of dust storm events remains limited, largely due to the lack of consistent ground-based, long-term, globally measured datasets.

NASA’s Atmospheric Infrared Sounder (AIRS) satellite provides a valuable global record of dust indicators, and analyzing these data enables large-scale tracking of where dust storm events occur and how their intensity evolves over time. In this study we analyze monthly dust storm data of AIRS satellite from 2003 to 2023 to show the global spatiotemporal trends in dust storms. In addition to mapping the spatial and temporal distribution of these events, we estimate the population affected by dust storms each year and assessed the intensity and frequency of these events across different land cover types. The study enables a better understanding of the regions and populations most at risk and provides valuable insights for policymakers and planners to develop strategies for mitigating the impacts of dust storms on human health, agriculture, and infrastructure.

How to cite: Soleimani, Y., Dashtian, H., AghaKouchak, A., Madani, K., and Shokri, N.: Spatio-temporal patterns of dust storms and population exposure across land use and land cover types, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1447, https://doi.org/10.5194/egusphere-egu26-1447, 2026.