讲座简介：

The Gravity Recovery and Climate Experiment (GRACE) and its successor, GRACE Follow-On (GRACE-FO), have revolutionised our ability to measure terrestrial water storage (TWS) and conduct total land water accounting from large-basin to global scales. This unprecedented capability has been widely adopted for evaluating global hydrological models, quantifying land water mass changes, and monitoring drought conditions worldwide. However, the coarse spatial resolution of GRACE/GRACE-FO (approximately 3°) and its integrated representation of all subsurface water components limit its use in basin- and sub-basin-scale applications.

In this seminar, I will present a novel approach that combines microwave surface soil moisture retrievals with GRACE/GRACE-FO TWS data to generate high-resolution (~10 km) maps of TWS and separate estimates of soil moisture and groundwater storage. I will also demonstrate the method’s unique capability in capturing floodplain dynamics and improving groundwater monitoring across Australia.

主讲人简介：

Professor Dongryeol Ryu is a hydrologist and remote sensing scientist whose work bridges environmental observation, modelling, and Earth system science. Currently serving as Professor and Deputy Head (Research) in the Department of Infrastructure Engineering at The University of Melbourne, he leads the Environmental Sensing and Modelling Laboratory. Prof. Ryu’s research focuses on advancing our understanding of the global hydrological cycle through the integration of multi-satellite observations, models, and ground measurements. His early work at the US Department of Agriculture (USDA) Hydrology and Remote Sensing Laboratory laid the foundation for his expertise in microwave remote sensing of soil moisture, data assimilation, and hydrological forecasting. Over the past two decades, he has expanded this scope to include evapotranspiration, irrigation, and terrestrial water storage, combining information from various Earth observation missions. His current research focuses on using multi-sensor satellite datasets to detect long-term changes in global water storage and drought patterns, offering new perspectives on the propagation of drought through soil, vegetation, and climate systems.