LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

A linear height-resolving wind field model for tropical cyclone boundary layer

Photo from wikipedia

Abstract The wind field model is one of the most important components for the tropical cyclone hazard assessment, thus the appropriate design of this element is extremely important. While solving… Click to show full abstract

Abstract The wind field model is one of the most important components for the tropical cyclone hazard assessment, thus the appropriate design of this element is extremely important. While solving the fully non-linear governing equations of the wind field was demonstrated to be quite challenging, the linear models showed great promise delivering a simple solution with good approximation to the wind field, and can be readily adopted for engineering applications. For instance it can be implemented in the Monte Carlo technique for rapid tropical-cyclone risk assessment. This study aims to develop a height-resolving, linear analytical model of the boundary layer winds in a moving tropical cyclone. The wind velocity is expressed as the summation of two components, namely gradient wind in the free atmosphere and frictional component near the ground surface. The gradient wind was derived straightforwardly, while the frictional component was obtained based on the scale analysis of the fully non-linear Navier-Stokes equations. The variation of wind field with respect to the angular coordinate was highlighted since its contribution to the surface wind speed and associated spatial distribution cannot be ignored in the first-order approximation. The results generated by the present model are consistent with tropical cyclone observations.

Keywords: model; wind field; tropical cyclone

Journal Title: Journal of Wind Engineering and Industrial Aerodynamics
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.