Date of Award
Master of Science
Water Resources Engineering
Even though rainfall is a continuous process, we are only able to measure it over discrete aggregation periods. This temporal discretization introduces negative biases when extracting rainfall maxima for short durations, similar to the instrument’s resolution. Empirically-derived correction factors known as Hershfield or rainfall sampling adjustment factors (SAF) have been widely used to correct this bias. Nevertheless, there are conflicting definitions for SAFs in the literature, and no one has looked in detail at how they vary spatially, between seasons, and as function of storm type. Concurrent, 34-yr long rainfall records from 52 weather stations distributed throughout Switzerland were used to study SAF variability. It was found that SAFs display a large variation both across and within stations, the latter because of the different ways of totalizing. On average, SAFs are higher for convective storms and during the warm season. There is no clear spatial pattern across Switzerland, nor any relationship with elevation.
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Munoz Proboste, Patricio Ignacio, "Effects of Storm Type on the Variability of Rainfall Sampling Adjustment Factors" (2018). Electronic Theses and Dissertations. 1854.