Structural Load Estimates from Geographically Sparse Data

Abstract

Structural engineers often must estimate wind or snow loads at a building site using data from weather stations some distance from the site. This paper describes how design loads at a site can be estimated using moving area-averaging rules that take into account inherent randomness in the data and the sparseness of the reporting stations. These rules provide load estimates or contour maps which are specified exactly by the given data.