A meshless method using global radial basis functions for creating 3-D wind fields from sparse meteorological data

  • Darrell W. Pepper
  • Cody Rasmussen
  • David Fyda

Abstract

An efficient, global meshless method has been developed for creating 3-D wind fields utilizing sparse meteorological tower data. Meshless methods do not require the need for a mesh in order to connect node points. In this study, node points are placed within the computational domain based on topological features. Wind speeds and directions are obtained from a set of instrumented meteorological towers. Inverse weighting is used to initially establish wind vectors at all nodal points. The Kansa technique, employing global basis functions, is then used to create a mass-consistent, 3-D wind field. The meshless method yields close approximations to results obtained with a high-order finite element technique. The method was implemented using MATLAB.

Keywords

mesh-free method, 3-D wind field, mass-consistent,
Published
Jan 25, 2017
How to Cite
PEPPER, Darrell W.; RASMUSSEN, Cody; FYDA, David. A meshless method using global radial basis functions for creating 3-D wind fields from sparse meteorological data. Computer Assisted Methods in Engineering and Science, [S.l.], v. 21, n. 3/4, p. 233-243, jan. 2017. ISSN 2299-3649. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/42>. Date accessed: 27 nov. 2020.
Section
Articles