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        "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",
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        "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",
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        "building_name":"Off Campus Location",
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        "room":"Lake Superior Hall",
        "location_name":"NOAA Great Lakes Environmental Research Lab, 4840 S State Rd, Ann Arbor, MI 48108",
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        "tags":["Ai In Science And Engineering","Deep Learning","Environment","Free","Great Lakes","Lecture","Machine Learning","Modeling","Research","Science","seminar","Water"],
        "website":"http:\/\/ciglr.seas.umich.edu\/",
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        "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",
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        "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.",
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        "tags":["Ai In Science And Engineering","Deep Learning","Environment","Free","Great Lakes","Lecture","Machine Learning","Modeling","Research","Science","seminar","Water"],
        "website":"http:\/\/ciglr.seas.umich.edu\/",
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        "datetime_end":"20261112T130000",
        "has_end_time":1,
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        "date_end":"2026-11-12",
        "time_start":"11:00:00",
        "time_end":"13:00:00",
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        "event_title":"Green Zone Training",
        "occurrence_title":"",
        "combined_title":"Green Zone Training",
        "event_subtitle":"",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"The Office of Enrollment Management\/ Veteran and Military Services present an interactive lecture focusing on military service and transitioning out of the military as it relates to military-connected students. \nYou will learn about military structure, military ethics, military training and the transition servicemembers go through once separate from the military.\nMen and women who serve in the military are a unique culture, with their own norms, expectations, codes of conduct and ways of thinking.  This training is also culture awareness training for faculty, staff and students who will work with veterans and service members.  It will help you better understand the strengths and needs of the veteran\/military community.",
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        "tags":["Air Force","army","Coast Guard","Culture","Leadership","Marine","military","Military Families","navy","Veteran","Veteran And Military","Veterans","Veterans And Military","veterans day","Veterans Week","Veteras Week","War"],
        "website":"https:\/\/vets.umich.edu\/events\/veterans-week-2026",
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                "group_id":"1102",
                "website":"http:\/\/vets.umich.edu"                },             {
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        "event_title":"STAMPS Booster Orientation for New Students 2026",
        "occurrence_title":"Booster Orientation Session 1",
        "combined_title":"STAMPS Booster Orientation for New Students 2026: Booster Orientation Session 1",
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        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Booster Orientation is mandatory. From the list below, please register for ONE session of Booster Orientation (75 minutes) in a time slot that works for you. Each session will:- reinforce and clarify critical information shared during summer orientation- walk you through the UPCOMING W27 REGISTRATION process- allow you to get answers for any questions you have at this point in the semester.",
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        "time_zone":"America\/Detroit",
        "event_title":"\u201cFill the Ranks\u201d: The Civil War and the University of Michigan",
        "occurrence_title":"",
        "combined_title":"\u201cFill the Ranks\u201d: The Civil War and the University of Michigan",
        "event_subtitle":"",
        "event_type":"Exhibition",
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        "description":"\u201cFill the Ranks\u201d: The Civil War and the University of Michigan explores how campus and community debated the issues that tore the country apart, how students and alums joined the fight, and how the University\u2019s public mission began to conflict with its elite aspirations. Based on collections at the Bentley Historical Library.\n\nDeveloped by the Judy and Stanley Frankel Detroit Observatory and featuring the work of its student docents, \u201cFill the Ranks\u201d includes historic artifacts, digital animations, and interactive elements spanning two floors.\n\nOn display September 25, 2026-July 2, 2027 at the Judy and Stanley Frankel Detroit Observatory, 1398 Ann Street, Ann Arbor, 48109.\n\nView the exhibit during the Observatory\u2019s open hours: Thursdays 12-5 pm, Fridays 12-11 pm, Saturdays 12-5 pm.\n\n\u201cFill the Ranks\u201d: The Civil War and the University of Michigan is supported in part by the Inclusive History Project. To learn more, please visit inclusivehistory.umich.edu. Additional support provided by the University of Michigan\u2019s U.S. at 250 initiative.",
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        "event_title":"\u201cWho Counts? A History of Voting in America\u201d",
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