Robustness of the Rainpak Algorithm for Storm Direction and Speed

Abstract

The objective of this chapter is to present an investigation of the robustness of an algorithm for storm direction and speed. The algorithm is used in a utility called "Rainpak,. in PCSWMM. In this chapter we first present an approach for estimating the mean speed and direction ofamulti-cellularrainstorm using rateof-rain gages. The code for spatial analysis of storms and their cells is described. Then we present a Monte Carlo analysis of rain storms observed in Toronto and Hamilton, Ontario, in which we demonstrate the robustness of the analysis with respect to observational uncertainty.

Calibration of BASINS HSP-F in Support of a Watershed Approach to CSO Long Term Control Planning

“…The importance of good rainfall data should not be overlooked and this point has been emphasized at this conference over the years (e.g. Kouwen and Soulis, 1994;Nguyen and Wang, 1996;Rivard, 1996;Burian and Durrans, 2002;James et al, 2002). This issue is particularly important in areas like Buffalo, which due to its location at the eastern end of Lake Erie, experiences considerable spatial variation in rainfall patterns.…”

Drivers of Model Uncertainty for Urban Runoff in a Tropical Climate: The Effect of Rainfall Variability and Subcatchment Parameterization

“…The spatial variability of rainfall is a well-known driver contributing to watershed modeling uncertainty (Schilling and Fuchs 1986;Perrelli et al 2005;Arnaud et al 2002;Schellart et al 2012;Dotto et al 2014;Nazari et al 2016;Cristiano et al 2017;Courty et al 2018) and methods to reduce this uncertainty have included increasing the density of rain gauges, weather radar applications, and modeling of storm movement (James et al 2002;Joksimovic et al 2003;Vieux and Vieux 2005;Goormans and Willems 2013;Thorndahl et al 2017;Yoon and Lee 2017). Historically, examination of the linkages between rainfall and runoff variability have focused on temperate climates, but with higher rainfall intensity and greater depths experienced in tropical climates, together with increasing urbanization (e.g., Rivard et al 2006;Costa and Monte-Mór 2015;Schneider et al 2015;Sadashivam and Tabassu 2016), there is a need to undertake more detailed evaluations in this environment.…”