Exploring the Impact of Dynamic Dust Source on the East Asian Dust Cycle Using WRF‐Chem

Abstract Dust emission is a prerequisite to accurately describe the physical processes of dust and is closely associated with dust sources; however, the spatial and temporal variation of East Asian dust sources has not been accurately quantified. Herein, we show the effects of the dominant factors associated with the dynamic dust source on dust modeling with multiple aspects. We found that the dynamic dust source in East Asia in 2001–2020 demonstrates a pronounced monthly and annual variability, showing wider spatial distribution in March than that in July and lower probability of dust uplifting in summer than that in spring. The dust source functions of the Gobi Desert and Taklimakan Desert decrease at rates of 5.8 × 10 −3 and 4.7 × 10 −3 decade −1 , respectively. Using the Weather Research and Forecasting model coupled with Chemistry, we further assess the joint control of surface bareness and topographical depression feature on the spatial distribution and value of the dynamic dust source. The East Asian dust source function generally increases with increasing surface bareness threshold, whereas that in the western Taklimakan Desert and central Gobi Desert decreases with coarse topography calculation resolution. These study findings show the importance of the dynamic dust source on dust simulation and deeply dive into exploring the effect of surface bareness and topographical depression feature on dust cycle simulation, which provide more options for better dust simulations in the future.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-03-04
DOI
https://doi.org/10.1029/2024jd041239
Citations
3
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
3.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Impact of Dynamic Dust Source on the East Asian Dust Cycle Using WRF‐Chem

Ben Yang, Junyan Chen, Yue Zhang, Siyu Chen et al.
3 citations
Journal of Geophysical Research Atmospheres
Atmospheric chemistry and aerosols
3.90
article

Exploring the Impact of Dynamic Dust Source on the East Asian Dust Cycle Using WRF‐Chem

Ben Yang, Junyan Chen, Yue Zhang, Siyu Chen, Huiping Yan, Gaotong Lou, Chuwei Liu, Chao Zhang, Yu Chen, Jixiang Li, Lulu Lian
article en
3 citations

Abstract

Abstract Dust emission is a prerequisite to accurately describe the physical processes of dust and is closely associated with dust sources; however, the spatial and temporal variation of East Asian dust sources has not been accurately quantified. Herein, we show the effects of the dominant factors associated with the dynamic dust source on dust modeling with multiple aspects. We found that the dynamic dust source in East Asia in 2001–2020 demonstrates a pronounced monthly and annual variability, showing wider spatial distribution in March than that in July and lower probability of dust uplifting in summer than that in spring. The dust source functions of the Gobi Desert and Taklimakan Desert decrease at rates of 5.8 × 10 −3 and 4.7 × 10 −3 decade −1 , respectively. Using the Weather Research and Forecasting model coupled with Chemistry, we further assess the joint control of surface bareness and topographical depression feature on the spatial distribution and value of the dynamic dust source. The East Asian dust source function generally increases with increasing surface bareness threshold, whereas that in the western Taklimakan Desert and central Gobi Desert decreases with coarse topography calculation resolution. These study findings show the importance of the dynamic dust source on dust simulation and deeply dive into exploring the effect of surface bareness and topographical depression feature on dust cycle simulation, which provide more options for better dust simulations in the future.

Journal of Geophysical Research AtmospheresVol. 130(5)
China Meteorological Administration (CN), Chinese Academy of Sciences (CN), Nanjing University of Information Science and Technology (CN), Nanjing Audit University (CN), Northwest Institute of Eco-Environment and Resources (CN), Lanzhou University (CN), Nanjing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Atmospheric chemistry and aerosols
3.90
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.