Abdul Moiz

– Validation and analysis of the National Oceanic and Atmospheric Administration’s (NOAA) National Water Model (NWM) outputs to support the Arizona Department of Water Resources (ADWR) by providing insights related to water resources development and groundwater recharge in Arizona

- Supporting the development of a data assimilation scheme for the CaMa-Flood model, a global hydrodynamic model - Supporting the development of a benchmarking toolkit for CaMa-Flood model

- Development of long-range (3-month) real-time hydrometeorological forecasting system for a snowfed watershed in Japan using a distributed hydrological model (WEB-DHM) and downscaled meteorological forecasts to support hydropower reservoir operations

– Development of a hydrometeorological forecasting system (comprehensive data pipeline development from scratch) in Japan using gridded weather forecasts, radar observations, satellite observations and a distributed hydrological model using the state-of-the-art Data Integration and Analysis System (DIAS)

Dissertation title: Optimizing cascaded hydropower dam operations in a snowfed mountainous watershed Grades: 2 A grades out of 3 courses (Equivalent to a CGPA of 3.73/4.00 but not calculable at The University of Tokyo)

Dissertation title: Development of an integrated approach for robust hydropower planning Grades: 10 A grades out of 11 courses (Equivalent to a CGPA of 3.91/4.00 but not calculable at The University of Tokyo)

Learning the model physics, algorithms, and numerical schemes employed in the Water and Energy Budget-based Distributed Hydrological Model (WEB-DHM) for future contribution to model development