Great Lakes Seminar Series: Dr. Tiantian Yang
November 12
Event Navigation
Recently, more frequent and severe weather extremes, natural hazards, aging infrastructure, and increased water demands have placed a significant barrier preventing the effective, sustainable, and adaptive operation of the existing water systems. Therefore, new technologies and innovations are critically needed to improve the existing reservoir/lake operation/management of said systems.
In support of adaptive reservoir operation, Dr. Tiantian Yang will present his current research on enhancing streamflow prediction at subseasonal-to-seasonal (S2S) timescales by improving precipitation forecasts and hydrologic simulations through the integration of physical hydrologic models and physically-aware artificial intelligence and deep learning tools. Visit the event website to learn more.
Event website: https://ciglr.seas.umich.edu/event/11122026-tiantian-yang/
Contact: Margaret Throckmorton, [email protected]