Latest Research in Wind and Air Flow Studies
15 research papers · 2026 median publication year
Top Research Topics in Wind and Air Flow Studies
- Wind and Air Flow Studies — 2 papers
- Landslides and related hazards — 2 papers
- Seismic Waves and Analysis — 1 papers
- Fluid Dynamics — 1 papers
- Coastal and Marine Dynamics — 1 papers
- Numerical Analysis — 1 papers
- Wind Energy Research and Development — 1 papers
- Synthetic Aperture Radar (SAR) Applications and Techniques — 1 papers
- Climate change and permafrost — 1 papers
- Optical Wireless Communication Technologies — 1 papers
Highest-Cited Papers
- Turbulence characterization in near-coastal environment using triple short-range lidars and mast anemometry
- Ocean-Bottom Seismometer Deployment on the Laurentian Fan Seismic Zone: The First Long-Term Test for the Canadian National Facility for Seismological Investigations
- The Level Set Ensemble Kalman Filter: Sequential Data Assimilation for Flows With Shocks
- Air pollutant transport risk regions in U-shaped lightwells: Fast identification method on critical Richardson number
- Coastal Vulnerability Index (CVI) Assessment of a Data-Sparse Delta: Quantifying the Contribution of InSAR-Derived Land Subsidence in the Volta Delta, Ghana
- Dynamical Low-Rank Filters for Data Assimilation
- An experimental campaign to measure turbulence in the marine boundary layer
- Land subsidence hazard mapping using a federated learning architecture with satellite and local environmental data
- Multidimensional Quantification of Engineering Distresses and Secondary Periglacial Hazards Along Linear Infrastructure in the Permafrost Region of Northeast China Using UAV-LiDAR and Synchronous Visible-Light Imagery
- Three Years of Station Data for Free-Space Optical Link Design in Southern Iraq: Margin Saturation and Year-to-Year Reversal of the Dominant Outage Mechanism
- UAV based assessment of landslide morphology and slope instability in Miraswadi, Western Ghats, India
- Development and Performance Evaluation of an Artificial Neural Network Model for Estimating Wave Forces on the Pavement behind a Sloping Seawall
- Enhancing debris-flow mobility and hazard forecasting using machine-learned spatial–temporal parameters in a two-phase flow model
- Revealing buried tectonic structures in the Gulf of Mexico using SWOT-derived marine gravity
- Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen