{ "153925-21916754": { "datetime_modified":"20261021T142053", "datetime_start":"20261112T110000", "datetime_end":"20261112T120000", "has_end_time":1, "date_start":"2026-11-12", "date_end":"2026-11-12", "time_start":"11:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Great Lakes Seminar Series: Dr. Tiantian Yang", "occurrence_title":"", "combined_title":"Great Lakes Seminar Series: Dr. Tiantian Yang: Streamflow Forecasting using Physical-Aware AI\/DL Models and Improving the Precipitation Forecasts at the Subseasonal-to-Seasonal Scale in Support of Adaptive Reservoir Operation", "event_subtitle":"Streamflow Forecasting using Physical-Aware AI\/DL Models and Improving the Precipitation Forecasts at the Subseasonal-to-Seasonal Scale in Support of Adaptive Reservoir Operation", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"About the presentation: Reservoirs and lakes are fundamental and multi-functional water infrastructures that collect, store, and deliver surface freshwater for a multitude of uses, including flood and fire control, recreation, wildlife habitat, residential, industrial, agricultural practices, irrigation, hydro-electric power generation, drought mitigation, and more. It is also a critical engineering environment that intervenes with both the hydrological cycle and human factors. Reservoir and lake release decisions, inflow forecasting, and storage management directly influence various aspects of socioeconomic functioning and our nation\u2019s water resources\u2019 security. In recent years, more frequent and severe abrupt weather extremes, natural hazards, aging infrastructure, and increased water demands due to population growth have placed another significant barrier preventing the effective, sustainable, and adaptive operation of the existing reservoir and lake systems. Therefore, new technologies and innovations are critically needed to improve the existing reservoir and lake operation and management, i.e., the \u201cstatus quo\u201d, of built water systems in our nation.\n\nIn support of adaptive reservoir operation, in this talk, 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 (AI\/DL) tools. These hybrid models aim to retain the interpretability and physical consistency of traditional models while leveraging the pattern recognition and scalability of AI\/DL. Case studies will demonstrate how these hybrid AI\/DL models perform in forecasting flood events across hundreds of watersheds over CONUS, and how the precipitation could be better predicted at the S2S scale using existing seasonal forecast models\n\nAbout the speaker: Dr. Tiantian Yang is currently a tenured associate professor in the School for Environment and Sustainability (SEAS) at the University of Michigan (UM) at Ann Arbor. Before joining UM, Dr. Yang was a tenured faculty in the School of Civil Engineering and Environmental Science (CEES) at the University of Oklahoma (OU). He was the associate director of the OU Hydrology & Water Security online master\u2019s degree program at OU. Before becoming a faculty member in OU and UM, Dr. Yang worked in the private sector for a few years in Deltares Netherlands, whose former was Delft Hydraulics and GeoDelft University. During his time in the private sector and consulting world, Dr. Yang served many U.S. federal agencies as clients, including Bonneville Power Administration, Tennessee Valley Authority, and the National Weather Service and its 13 River Forecast Centers. Dr. Yang was an AGU Hydrology Section Early Career Awardee (2025), and also an NSF Early Career Awardee (2023).\n\nDr.Yang obtained his Ph.D. degree in Civil Engineering from the Department of Civil and Environmental Engineering of the University of California, Irvine (UC Irvine) in 2015, mentored by NAE and Distinguished Professor Dr. Soroosh Sorooshian. Yang\u2019s master\u2019s degree was in Mechanical and Aerospace Engineering from the Department of Mechanical and Aerospace Engineering at UC Irvine (2010). His bachelor\u2019s degree was also in Mechanical and Aerospace Engineering from Tsinghua University, China (2009). Yang\u2019s work is mainly supported by the NSF, the U.S. Bureau of Reclamation, the US Army Corps of Engineers (USACE), DoD Engineering With Nature (EWN), the American Council for Education (ACE)\u2019s International Partnership Program, NOAA, and the DOE\u2019s Clean Energy Research Center on Water-Energy Technology (CERC-WET) Program.\n\nFollowing the seminar there will be a lunch with the speaker and Great Lakes related trivia.", "occurrence_notes":null, "guid":"153925-21916754@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/153925", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"Virtual", "has_livestream":1, "livestream_type":"other", "livetream_require_login":0, "livestream_id":"", "livestream_link":"https:\/\/register.gotowebinar.com\/register\/1571851282521547862", "cost":"", "tags":["Free","Lecture","Great Lakes","Machine Learning","Environment","Deep Learning","Ai In Science And Engineering","Science","Water","seminar","Research","Modeling"], "website":"http:\/\/ciglr.seas.umich.edu\/", "sponsors":[ { "group_name":"Cooperative Institute for Great Lakes Research (CIGLR)", "group_id":"3432", "website":"http:\/\/ciglr.seas.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/10\/event_153925_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_thumb\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_2x\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_lightbox\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb_square\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large_lightbox\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_crop\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_list\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid_2x\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_large\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png" }, "occurrence_count":2, "first_occurrence":21916753 } , "153925-21916753": { "datetime_modified":"20261021T142053", "datetime_start":"20261112T110000", "datetime_end":"20261112T120000", "has_end_time":1, "date_start":"2026-11-12", "date_end":"2026-11-12", "time_start":"11:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Great Lakes Seminar Series: Dr. Tiantian Yang", "occurrence_title":"", "combined_title":"Great Lakes Seminar Series: Dr. Tiantian Yang: Streamflow Forecasting using Physical-Aware AI\/DL Models and Improving the Precipitation Forecasts at the Subseasonal-to-Seasonal Scale in Support of Adaptive Reservoir Operation", "event_subtitle":"Streamflow Forecasting using Physical-Aware AI\/DL Models and Improving the Precipitation Forecasts at the Subseasonal-to-Seasonal Scale in Support of Adaptive Reservoir Operation", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"About the presentation: Reservoirs and lakes are fundamental and multi-functional water infrastructures that collect, store, and deliver surface freshwater for a multitude of uses, including flood and fire control, recreation, wildlife habitat, residential, industrial, agricultural practices, irrigation, hydro-electric power generation, drought mitigation, and more. It is also a critical engineering environment that intervenes with both the hydrological cycle and human factors. Reservoir and lake release decisions, inflow forecasting, and storage management directly influence various aspects of socioeconomic functioning and our nation\u2019s water resources\u2019 security. In recent years, more frequent and severe abrupt weather extremes, natural hazards, aging infrastructure, and increased water demands due to population growth have placed another significant barrier preventing the effective, sustainable, and adaptive operation of the existing reservoir and lake systems. Therefore, new technologies and innovations are critically needed to improve the existing reservoir and lake operation and management, i.e., the \u201cstatus quo\u201d, of built water systems in our nation.\n\nIn support of adaptive reservoir operation, in this talk, 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 (AI\/DL) tools. These hybrid models aim to retain the interpretability and physical consistency of traditional models while leveraging the pattern recognition and scalability of AI\/DL. Case studies will demonstrate how these hybrid AI\/DL models perform in forecasting flood events across hundreds of watersheds over CONUS, and how the precipitation could be better predicted at the S2S scale using existing seasonal forecast models\n\nAbout the speaker: Dr. Tiantian Yang is currently a tenured associate professor in the School for Environment and Sustainability (SEAS) at the University of Michigan (UM) at Ann Arbor. Before joining UM, Dr. Yang was a tenured faculty in the School of Civil Engineering and Environmental Science (CEES) at the University of Oklahoma (OU). He was the associate director of the OU Hydrology & Water Security online master\u2019s degree program at OU. Before becoming a faculty member in OU and UM, Dr. Yang worked in the private sector for a few years in Deltares Netherlands, whose former was Delft Hydraulics and GeoDelft University. During his time in the private sector and consulting world, Dr. Yang served many U.S. federal agencies as clients, including Bonneville Power Administration, Tennessee Valley Authority, and the National Weather Service and its 13 River Forecast Centers. Dr. Yang was an AGU Hydrology Section Early Career Awardee (2025), and also an NSF Early Career Awardee (2023).\n\nDr.Yang obtained his Ph.D. degree in Civil Engineering from the Department of Civil and Environmental Engineering of the University of California, Irvine (UC Irvine) in 2015, mentored by NAE and Distinguished Professor Dr. Soroosh Sorooshian. Yang\u2019s master\u2019s degree was in Mechanical and Aerospace Engineering from the Department of Mechanical and Aerospace Engineering at UC Irvine (2010). His bachelor\u2019s degree was also in Mechanical and Aerospace Engineering from Tsinghua University, China (2009). Yang\u2019s work is mainly supported by the NSF, the U.S. Bureau of Reclamation, the US Army Corps of Engineers (USACE), DoD Engineering With Nature (EWN), the American Council for Education (ACE)\u2019s International Partnership Program, NOAA, and the DOE\u2019s Clean Energy Research Center on Water-Energy Technology (CERC-WET) Program.\n\nFollowing the seminar there will be a lunch with the speaker and Great Lakes related trivia.", "occurrence_notes":"All in person attendees must register by midnight on November 1st", "guid":"153925-21916753@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/153925", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"Lake Superior Hall", "location_name":"NOAA Great Lakes Environmental Research Lab, 4840 S State Rd, Ann Arbor, MI 48108", "has_livestream":0, "cost":"", "tags":["Free","Lecture","Great Lakes","Machine Learning","Environment","Deep Learning","Ai In Science And Engineering","Science","Water","seminar","Research","Modeling"], "website":"http:\/\/ciglr.seas.umich.edu\/", "sponsors":[ { "group_name":"Cooperative Institute for Great Lakes Research (CIGLR)", "group_id":"3432", "website":"http:\/\/ciglr.seas.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/10\/event_153925_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_thumb\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_2x\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_lightbox\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb_square\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large_lightbox\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_crop\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_list\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid_2x\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_large\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/10\/crop-event_153925_original-1.png" }, "occurrence_count":2, "first_occurrence":21916753 } }