ArticleAtmospheric chemistry and physics2021
Improved representation of the global dust cycle using observational constraints on dust properties and abundance.
Article in Atmospheric chemistry and physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- A global decline in atmospheric dust during the 21st century.Science advances · 2026Article
- Re-Evaluating Springtime as Southern Arizona's Dust Season.GeoHealth · 2026Article
- Atmospheric dust is a global nutrient source for plants via foliar uptake.The New phytologist · 2026Article
- Polycyclic aromatic hydrocarbon exposure in battlefield and beyond: Implications for environmental- and human health.Toxicology reports · 2026Review
- Desert dust exerts twice the longwave radiative heating estimated by climate models.Nature communications · 2026Article
- Extreme Middle Eastern dust event over metropolitan Mumbai, India, associated with enhanced lightning activity.Scientific reports · 2026Article
- Supersaturation, Nucleation, and Phase Separation of Mesoscopic Systems.Journal of the American Chemical Society · 2025Article
- Desert Sand and Dust Storms and Desert Dust Episodes: Major Patterns to be Accounted for to Protect the Health of Exposed Population: A Review.ACS ES&T air · 2025Review
- Soil Fugitive Dust Pollution in Bole City Near Sayram Lake.GeoHealth · 2025Article
- Influence of Saharan Dust Intrusions on Respiratory Medication Dispensing.Medical sciences (Basel, Switzerland) · 2025Article
- Spatiotemporal analysis of atmospheric aerosols in African environments using MERRA-2 data (1980-2024): Impacts on climate extremes.iScience · 2025Article
- Middle East and Central Asian dust reaches the South China Sea in summer.National science review · 2025Article
- Widespread surface ozone reduction triggered by dust storm disturbance on ozone production and destruction chemistry.Science advances · 2025Article
- The climate change-pollution-aerobiome nexus: A 'systems thinking' mini-review.Microbial biotechnology · 2024Review
- Dust events characterization from visibility, trends and Dust Adversity Index in the Canary Islands for the period 1980-2022.Heliyon · 2024Article
- Immune-mediated disease caused by climate change-associated environmental hazards: mitigation and adaptation.Frontiers in science · 2024Article
- Dust Under the Radar: Rethinking How to Evaluate the Impacts of Dust Events on Air Quality in the United States.GeoHealth · 2023Article
- Article
- Mechanisms of climate change and related air pollution on the immune system leading to allergic disease and asthma.Seminars in immunology · 2023Review
- Exposure Assessment of Ambient PM2.5 Levels during a Sequence of Dust Episodes: A Case Study Coupling the WRF-Chem Model with GIS-Based Postprocessing.International journal of environmental research and public health · 2023Article
Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, atmospheric models struggle to accurately represent its spatial and temporal distribution. These model errors are partially caused by fundamental difficulties in simulating dust emission in coarse-resolution models and in accurately representing dust microphysical properties. Here we mitigate these problems by developing a new methodology that yields an improved representation of the global dust cycle. We present an analytical framework that uses inverse modeling to integrate an ensemble of global model simulations with observational constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth. We then compare the inverse model results against independent measurements of dust surface concentration and deposition flux and find that errors are reduced by approximately a factor of two relative to current model simulations of the Northern Hemisphere dust cycle. The inverse model results show smaller improvements in the less dusty Southern Hemisphere, most likely because both the model simulations and the observational constraints used in the inverse model are less accurate. On a global basis, we find that the emission flux of dust with geometric diameter up to 20 μm (PM
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Registered trials
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