Measurement, Analysis, Modeling and Prediction of Strong Winds in Atmospheric Boundary Layer
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (10 February 2022) | Viewed by 10986
Special Issue Editors
Interests: wind engineering; bridge engineering; structural engineering; hurricane resilience; machine learning; climate change
Special Issues, Collections and Topics in MDPI journals
Interests: wind engineering; tropical cyclone; extra typical cyclones; machine learning
Interests: wind engineering; performance-based design; stochastic process; machine learning; computer vision
Special Issue Information
Dear Colleagues,
Strong winds in the atmospheric boundary layer (e.g., tropical cyclones, extratropical cyclones, downbursts and tornados) can cause significant casualty, property damage, and economic loss. The strong wind-induced structure and infrastructure damage and loss will become more severe in the context of climate change, where both the frequency and intensity of strong wind events are expected to increase. A deep understanding of strong winds will greatly benefit the wind engineering field, especially for the design and retrofit of structures and infrastructures. This Special Issue calls for papers that can shed light onto the measurement, analysis, modeling and prediction of strong winds in the atmospheric boundary layer. The topics of interest for this Special Issue include, but are not limited to, the following:
- The wind measurement from conventional and novel sensors (e.g., anemometer, scanning Lidar, Radar, dropsonde, satellite and optical fiber);
- The analysis of wind data with advanced signal processing techniques and statistics;
- The characterization of strong winds with consideration of climate change;
- The modeling of strong wind events with data-driven, physics-based or hybrid approaches;
- The short-term and/or long-term forecasting of strong winds;
- The uncertainty quantification and propagation in the predictability of strong winds;
- The simulation of strong winds in conventional and novel wind tunnels.
Prof. Dr. Teng Wu
Dr. Reda Snaiki
Dr. Haifeng Wang
Guest Editors
Manuscript Submission Information
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Keywords
- wind engineering
- hurricane
- tornado
- downburst
- extra-tropical cyclone
- wind forecasting
- wind tunnel
- machine learning
- field measurement
- climate change
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