This seminar has been postponed due to inclement weather – we look forward to welcoming Dr. Georgas to the University of Connecticut campus soon.
Title: Coastal and Operational Forecasting Research at The Davidson Laboratory. A summary of ongoing research and developments with a focus on the Stevens Flood Advisory System.
Date/Time: To be rescheduled.
Speaker: Nickitas Georgas, Asst. Research Professor, Stevens Institute of Technology (Hoboken, New Jersey)
Location: Castleman Building, Room 212
Remote Access: Please click this link to join the meeting (https://uconnvtc.webex.com/uconnvtc/j.php?MTID=m5e9392912ad885586bb8104749317301) and then call +1-415-655-0002 US Toll followed by access code 644 240 900#.
Abstract:The talk will introduce the Davidson Laboratory at Stevens Institute of Technology and summarize some ongoing research and developments, focusing on coastal resilience. Focus will be on the description and current plans for the Stevens Flood Advisory System (SFAS, http://stevens.edu/SFAS). The fully-automated, ensemble-based flood advisory system dynamically integrates real-time observations and river and coastal flood models forced by an ensemble of meteorological models at various scales to produce and serve street scale flood forecasts over urban terrain. SFAS is applied to the Greater NY/NJ Metropolitan region, and is used routinely by multiple forecast offices and departments within the US National Weather Service (NWS), regional and municipal Offices of Emergency Management, as well as the general public. Every six hours, the underlying H3E (Hydrologic–Hydraulic–Hydrodynamic Ensemble) modelling framework, prepares, runs, data-assimilates, and integrates results from 300 dynamic model simulations to produce actionable, probabilistic ensemble forecasts of upland and coastal (storm surge) flooding conditions with a 96-h forecast horizon. Meteorological forcing to the H3E models is provided by 100 weather model ensemble members as well as deterministic weather models from major weather agencies (NCEP, ECMWF, CMC) and academia. Some results of the system’s validation over the year 2016 will be presented.
Published: February 3, 2017
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