The MMSF Platform

Tirthankar Roy, PhD Candidate, Department of Hydrology & Atmospheric Sciences, University of Arizona

Abstract for Weekly Colloquium on Thursday, February  23, 2017 at 4 pm in Harshbarger 206 ~ Refreshments at 3:45 pm

Water management in sparsely gauged river basins is subject to several difficult challenges. This is a serious problem, particularly in the developing countries where the resources and infrastructures are oftentimes very limited or even unavailable. The SERVIR program of NASA and USAID focuses on improving water resources management in several developing regions of the world utilizing cutting-edge observations from space i.e. satellite-based remote sensing products. My PhD research under the SERVIR program focuses on improving hydrologic modeling and forecasting in some selected sparsely gauged pilot basins in Africa.

The first part of the talk will focus on the development and implementation of a new real-time streamflow monitoring and forecasting platform, Multimodel and Multiproduct Streamflow Forecasting-Real Time (MMSF-RT), which is built using multiple hydrological models and satellite-based precipitation products to produce more accurate streamflow forecasts and better characterize the forecast uncertainty. The platform also involves state-of-the-art methods for bias correction, model calibration, and forecasts merging. The second part of the talk will present how the MMSF platform can be improved using the newly available remote sensing products. Finally, the last part of the talk will address the issue of climate change impacts assessment in one of the pilot basins, using a high-resolution climate dataset and an improved bias correction scheme.