Recent activities for the dust storm studies in Central Asia

\nThis paper provides an overview of state-of-the-art technologies used to detect and predict sand and dust storms (SDS). SDS events typically occur when strong winds transport dry sand and dust particles from the ground. Several technologies have been developed to detect and predict SDS, with the goal of mitigating their impact on the natural environment and human well-being. Space-based monitoring relies on satellite remote sensing technologies. Satellite instruments have the advantage of providing rapid, largescale, and accurate data on surface and atmospheric resources and properties within a few days. An important resource for atmospheric research is reanalysis data, which provides long-term data sets that include a wide range of variables. Numerical modelling is a key tool for monitoring the sources of dust storms and studying the trajectories of dust aerosols.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-11
DOI
https://doi.org/10.1051/e3sconf/202457504006/pdf
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Recent activities for the dust storm studies in Central Asia

Springer Link (Chiba Institute of Technology)
Mycorrhizal Fungi and Plant Interactions
article

Recent activities for the dust storm studies in Central Asia

article en

Abstract

\nThis paper provides an overview of state-of-the-art technologies used to detect and predict sand and dust storms (SDS). SDS events typically occur when strong winds transport dry sand and dust particles from the ground. Several technologies have been developed to detect and predict SDS, with the goal of mitigating their impact on the natural environment and human well-being. Space-based monitoring relies on satellite remote sensing technologies. Satellite instruments have the advantage of providing rapid, largescale, and accurate data on surface and atmospheric resources and properties within a few days. An important resource for atmospheric research is reanalysis data, which provides long-term data sets that include a wide range of variables. Numerical modelling is a key tool for monitoring the sources of dust storms and studying the trajectories of dust aerosols.\n

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 66%
Mycorrhizal Fungi and Plant Interactions
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