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

Dust aerosols have a wide size distribution from less than 1.0 nm to over 100 μm and dominate the Earth’s atmospheric aerosol mass. However, most Earth system models inadequately represent dust aerosols larger than 10 µm in diameter, limiting the accuracy of dust cycle and climatic impact simulations. Here, we introduce a new modeling framework that captures the observed full-size distribution of dust aerosols, incorporating recent advances into a mineral-resolved version of the Community Earth System Model and 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 sizes. Incorporating the previously unrepresented fractions substantially alters dust budget estimates, highlighting potential changes in simulated climatic impacts and underscoring the importance of comprehensive size-resolved dust modeling. Despite these advancements, uncertainties persist. Future developments should address misrepresented physical processes that hinder accurate modeling of the transport of dust aerosols larger than 10 µm in diameter, whose gravitational settling velocity must be reduced by 60% in the new model to match observed size distribution. Expanding observational datasets covering the full-size distribution is also essential to better constrain the dust cycle and improve the representation of dust optical properties and climatic effects.

Authors

Publication Details

Published
2025-08-14
DOI
https://doi.org/10.31223/x5bb33
Citations
1
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
1.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Philip G. Brodrick, Vincenzo Obiso, Carlos García-Pando, Danny M. Leung et al.
1 citations
Aeolian processes and effects
1.67
article

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

Philip G. Brodrick, Vincenzo Obiso, Carlos García-Pando, Danny M. Leung, Samuel Albani, R. S. Clark, Jasper F. Kok, David Thompson, Claudia Di Biagio, R. G. Miller, Paola Formenti, N. M. Mahowald, Marı́a Gonçalves Ageitos, Adeyemi A. Adebiyi, Zhou Bo, Ziming Ke, Gregory S. Okin, Robert Green, Paul Ginoux, Xiaohong Liu
article en
1 citations

Abstract

Dust aerosols have a wide size distribution from less than 1.0 nm to over 100 μm and dominate the Earth’s atmospheric aerosol mass. However, most Earth system models inadequately represent dust aerosols larger than 10 µm in diameter, limiting the accuracy of dust cycle and climatic impact simulations. Here, we introduce a new modeling framework that captures the observed full-size distribution of dust aerosols, incorporating recent advances into a mineral-resolved version of the Community Earth System Model and 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 sizes. Incorporating the previously unrepresented fractions substantially alters dust budget estimates, highlighting potential changes in simulated climatic impacts and underscoring the importance of comprehensive size-resolved dust modeling. Despite these advancements, uncertainties persist. Future developments should address misrepresented physical processes that hinder accurate modeling of the transport of dust aerosols larger than 10 µm in diameter, whose gravitational settling velocity must be reduced by 60% in the new model to match observed size distribution. Expanding observational datasets covering the full-size distribution is also essential to better constrain the dust cycle and improve the representation of dust optical properties and climatic effects.

Openalex Percentile: Top 16%
Aeolian processes and effects
1.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.