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Join us for an enlightening webinar as we dive into HGS-PDAF (version 1.0), an innovative tool for improving hydrological modeling.
Abstract:
Qi Tang and her team have developed HGS-PDAF (version 1.0), an innovative tool for improving hydrological modeling. This tool integrates the surface and subsurface water model (HGS) with real-time data assimilation software (PDAF) to enhance the accuracy of water resource predictions. In this presentation, the team will demonstrate the features of HGS-PDAF and its effectiveness through a river-aquifer model, showcasing how it leverages high-performance computing to provide reliable insights for both research and practical applications in water management.
Bio:
Dr. Lars Nerger is a senior scientist at the Alfred Wegener Institute (AWI), Helmholtz Center for Polar and Marine Research in Bremerhaven, Germany. He leads the Data Assimilation group in the computing center of AWI and has over 20 years of experience in data assimilation. His research focuses on Earth system data assimilation, particularly the development of ensemble-based data assimilation methods and their application in the ocean and ocean biogeochemistry. He also leads the development of the open-source software PDAF (Parallel Data Assimilation Framework), one of the most widely used software systems for data assimilation worldwide.
Dr. Qi Tang is a postdoctoral researcher at the University of Basel and the coordinator of the Swiss Water-Earth-Systems PhD school based at the University of Neuchâtel in Switzerland. With a bachelor's degree in applied mathematics and a master's degree in hydrology, she initiated her exploration into data assimilation and hydrological modeling during her doctoral studies. With over 10 years of experience in this field, she has expertly applied data assimilation techniques to a wide range of numerical models, spanning from catchment-scale hydro(geo)logical modeling to global-scale earth system modeling.