Authors: David Casson – University of Saskatchewan; Ruben Imhoff – Deltares
Title: Mountainous Snow and Rain Forecasting Testbed (MSRFT)
Abstract: Mountainous catchments provide key sources of freshwater that pose great benefit and risk. Scientific methods in real-time streamflow forecasting can be challenging to translate to operational practice, in part to adapting to an operational setting and issues of data latency. This project aims to lessen that gap by application in an operational and live forecasting test-bed developed in the Delft-FEWS forecasting software (underlying framework of CHPS). We’d like to make methods open and available to use by stakeholders, while encouraging contribution from the research community modelling and methods into the system, which should allow for operational testing and benchmarking of their research outcomes. With this operational test-bed, we aim to implement radar nowcasting and remote sensing snow data assimilation from open-source tools, such as the SUMMA modelling framework and pysteps to generate the hydrological forecasts.