Improving Sandstorm Simulations by Parameterizing Form Drag From Subgrid Sand Dunes Using 30‐m‐Resolution Terrain Data

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Authors: Huoqing Li, Haile Xue, Minzhong Wang, Chenghai Wang, Yisilamu Wulayin, Zonghui Liu, Wen Huo
Cited by: 3
References: 37

Abstract

Abstract Surface and near‐surface wind speeds, critical factors for dust emission, are often overestimated in desert regions by models, leading to exaggerated predictions of sandstorm extent and dust concentration. This study implements a new turbulent orographic form drag (TOFD) parameterization scheme using 30‐m‐resolution terrain data in the WRF‐Chem model. Over a 1‐month simulation, this scheme reduced the overestimated surface wind speed by 45%. Compared with observations from 41 meteorological stations and one radio‐sounding station in the Taklimakan Desert, it also decreased the root mean square errors for surface and near‐surface winds by about 20% and 5%, respectively. Furthermore, the 30‐day simulation showed a 31% reduction in PM 10 RMSE and a better‐matched aerosol optical depth distribution. The results demonstrate that the novel TOFD scheme, which utilizes high‐resolution terrain data, effectively resolves dunes and accurately accounts for the drag of small dunes on the near‐surface atmosphere in deserts.

Fields of Study & Subjects

Aeolian processes and effects Biocrusts and Microbial Ecology Atmospheric aerosols and clouds

Publication details

Journal / source
Geophysical Research Letters
Publisher
American Geophysical Union (AGU)
Volume
53
Issue
2
Publication date
16 January 2026
Language
EN