Wind Gusts: Observations, Processes, and Predictions
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2538
Special Issue Editors
Interests: atmospheric observations; wind engineering; structural health monitoring; computational fluid mechanics; structural engineering
Special Issues, Collections and Topics in MDPI journals
Interests: wind engineering; structural dynamics; structural health monitoring; structural control; structural engineering
Interests: computational fluid dynamics; turbulence simulation; bluff-body aerodynamics; separated flow; wind engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A wind gust is commonly defined as a sudden but short-lived increase in wind speed. Wind gusts can threaten the safety or serviceability of various man-made objects, such as aircraft, trains, fan blades, buildings, bridges, and other wind-sensitive civil structures. Mechanisms for the generation of wind gusts are complicated. Wind gusts may be attributed to the internal structures of violent storms (e.g., tropical cyclones, downbursts, tornadoes), the influence of orographic/topographic features, deep convection, or combinations of the above factors. Such complexities lead to a distinct spatial and temporal variability of a wind gust. During the past several decades, continuous efforts have been made to understand this phenomenon. Despite the outstanding achievements that have been made, much still remains to be further explored. First, most existing studies have focused on the temporal features observed at a single point or at a limited number of points, while spatial features have been relatively less investigated.
Meanwhile, advanced devices or techniques for high-quality and flexible observations of wind gusts, especially in the core regions of typical storms, are badly needed. Moreover, reliable forecasts are of critical importance for policymaking and the application of measures for the mitigation of wind-induced disasters, but most operationally used numerical weather prediction models continue to exhibit systematic errors, even at the price of huge computational resources. Therefore, more efforts are required to facilitate effective and efficient forecasts.
We look forward to your submissions, and to achieving a Special Issue representing the growing community of scientists involved in the observation, process, and prediction of gust wind.
Dr. Yun-Cheng He
Dr. Ying-Hou He
Prof. Dr. Yong Cao
Guest Editors
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Keywords
- characterization and parameterization of gust wind
- observation/measurement techniques and studies
- numerical weather prediction
- forecasting/verification techniques
- statistical forecasting
- probability forecasts/models/distribution
- machine learning
- effects of gust wind on wind-sensitive structures
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