Modeling Large Dust Aerosols in the Community Earth System Model Version 2 (CESM2)

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Authors: Longlei Li, N. M. Mahowald, Xiaohong Liu, Marı́a Gonçalves Ageitos, Ziming Ke, Danny M. Leung, Carlos Pérez Garcia-Pando, R. G. Miller, Vincenzo Obiso, Paul A. Ginoux, Jasper F. Kok, Paola Formenti
+9 more Claudia Di Biagio, Philip G. Brodrick, David Thompson, R. S. Clark, Gregory Stewart Okin, Robert Green, Zhou Bo, Samuel Albani, Adeyemi A. Adebiyi
Cited by: 1
References: 178

Abstract

Abstract Dust aerosols have a wide size distribution from less than 0.1 to over 100 μm and dominate Earth's atmospheric aerosol mass. However, most Earth system models (ESMs) inadequately represent dust aerosols larger than 10 μm in diameter, limiting the accuracy of the simulated dust cycle and climate impacts. Here, we introduce a new modeling framework that captures the full observed size distribution of dust aerosols, incorporating recent advances into a mineral‐resolved version of the Community ESM, while addressing known issues in previous versions. Comprehensive evaluation against diverse observations of bulk dust and component minerals demonstrates that the model reproduces the observed dust cycle across particle sizes. Incorporating the previously unrepresented large‐dust fractions substantially alters dust budget estimates, highlighting potential changes in simulated climate impacts and underscoring the importance of comprehensive size‐resolved dust modeling. Despite these advancements, uncertainties persist. Our results indicate that a size‐dependent reduction in settling velocity is required to reproduce the observed dust size distribution downwind of source regions. Specifically, in the new model, the gravitational settling velocity of dust particles larger than 10 μm in diameter must be reduced by as much as 85% to achieve agreement with observations. This empirical reduction serves as a constraint on physics‐based models of dust settling. Future developments should address misrepresented physical processes that hinder accurate modeling of the large dust aerosol transport. Expanding observational data sets covering the full‐size distribution is also essential to better constrain the dust cycle and improve the representation of dust optical properties and climate effects.

Fields of Study & Subjects

Aeolian processes and effects Atmospheric chemistry and aerosols

Publication details

Journal / source
Journal of Advances in Modeling Earth Systems
Publisher
American Geophysical Union (AGU)
Volume
18
Issue
4
Publication date
1 April 2026
Language
EN