Let-it-Rain: A Web Application for Stochastic Point Rainfall Generation Based on the Regionalized Poisson Cluster Rainfall Model

Abstract

This study introduces a web application named Let-It-Rain designed to generate 1-hour synthetic rainfall time series using the Modified Bartlett-Lewis Rectangular Pulse (MBLRP) model for ungaged locations in the United States and Republic of Korea. The application can be accessed from all around the world through the web address http://www.LetItRain.info. Let-It-Rain has been validated in its ability to reproduce observed rainfall statistics and the watershed response variables based on observed rainfall. The result of the analysis indicates that the rainfall mean, variance, auto-correlation, and probability of zero rainfall are accurately reproduced by Let-It-Rain. Let-It-Rain also showed a reasonably good performance in reproducing watershed runoff depth and peak flow. We expect the international cooperation to extend the applicability of Let-It-Rain across the world to stimulate the uncertainty analysis in the field of water resources engineering.