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Great Lakes Seminar Series: Dr. Tiantian Yang

November 12

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] 

Details

Venue

  • Online

Organizers

  • University of Michigan
  • Cooperative Institute for Great Lakes Research (CIGLR)