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ISWS Seminar | Real-Time Streamflow Forecasting: The Challenges | Witold F. Krajewski

Event Type
Seminar/Symposium
Sponsor
Prairie Research Institute's 2024 Distinguished Lecture Series
Location
Illinois Room at the Illinois State Water Survey, 2204 Griffith Dr., Champaign, IL 61820-7463
Virtual
wifi event
Date
Apr 3, 2024   3:00 - 4:30 pm  
Speaker
Witold F. Krajewski
Views
41

The presentation will cover several aspects of the problem emphasizing the spatial scale effects. The speaker will use the paradigm of streamflow forecasting “everywhere and all the time” thus including both gauged and ungauged basins. He will discuss a class of river network-centric rainfall-runoff models and their performance evaluation against temporal and spatial persistence. He will present recent results of analyzing rainfall estimates (QPE) and forecasts (QPF), their uncertainty, and the impact on streamflow forecasts and data assimilation. The presentation is based on over ten years of experience in real-time streamflow forecasting over the State of Iowa by the Iowa Flood Center and thus includes issues of communicating the forecasts to public.

Witold F. Krajewski is the Rose & Joseph Summers Chair in Water Resources Engineering at the University of Iowa. He is also a Professor in the Department of Civil and Environmental Engineering and a Research Engineer at IIHR—Hydroscience & Engineering. In 2009, he was appointed Director of the Iowa Flood Center.

Dr. Krajewski received M.S. (1976) and Ph.D. (1980) degrees from Warsaw University of Technology, Poland, in environmental engineering and water resources systems. He was a Research Hydrologist at the Office of Hydrology of the National Weather Service until 1987 when he joined the University of Iowa.

Dr. Krajewski’s scientific interests concern measuring, modeling, and forecasting precipitation using radar and satellite remote sensing. His current research focuses on understanding the genesis and evolution of floods through field data and modeling, and the quantification of uncertainty in hydrologic prediction at a range of temporal and spatial scales. Dr. Krajewski has published over 270 papers in refereed journals on these topics.

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