Special Issue "Measurement, Analysis, Modeling and Prediction of Strong Winds in Atmospheric Boundary Layer"
Deadline for manuscript submissions: closed (10 February 2022) | Viewed by 7183
Interests: wind engineering; bridge engineering; structural engineering; hurricane resilience; machine learning; climate change
Special Issues, Collections and Topics in MDPI journals
Special Issue in Applied Sciences: Structural Response in Transient Winds of Hurricane and Non-synoptic Events
Special Issue in Remote Sensing: Analysis of Satellite Cloud Images via Deep Learning Techniques
Topics: Transportation Infrastructure under Hurricane Hazards
Interests: wind engineering; tropical cyclone; extra typical cyclones; machine learning
Interests: wind engineering; performance-based design; stochastic process; machine learning; computer vision
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- wind engineering
- extra-tropical cyclone
- wind forecasting
- wind tunnel
- machine learning
- field measurement
- climate change