Flood modelling and forecasting challenges in industry workshop
The ‘Flood modelling & forecasting challenges in industry’ workshop is part of the EPSRC-funded project SEAMLESS-WAVE and is supported by TWENTY65 and the IAHR. It will bring together practitioners and scholars in the field, aiming to identify and discuss timely issues in operational-scale flood modelling and forecasting.
The workshop will be to gain insights into felt industrial and practical needs, that require further addressing in academic research. The focus will be on the themes:
- improving operational-scale flood mapping and forecasting, and
- flood resilience metric production including human response components
The workshop will be facilitated by a series of invited talks by experts on subjects, which include hydraulic modelling and engineering, uncertainty quantification, flood-incident emergency response and management, and resilient engineering.
A direct outcome of the workshop will be an online document summarising the talks and capturing the ideas formed during a workshop’s breakout session. This document will then be used as a starting point to develop a multi-authored contribution for publication, while seeking the feedback from the workshop’s speakers.
The themes of the workshop are expected to interest researchers focused on flood model development, testing, application and validation for real-world applications, as well as those interested in flood resilience quantification at urban-scale.
We invite you to join us at this workshop if you are interested in broadening your views into those of end-users and practitioners of flood modelling tools and forecasting methods. Participants are expected to have friendly and constructive discussions with the speakers and with each other, by sharing their expertise, thoughts, comments, and insights from their field and/or expertise.
Location: The Diamond, The University of Sheffield
Fee & registration
£50 includes workshop attendance, lunch, refreshments and evening dinner at Cubana Restaurant.
Accommodation: Here is a short list of recommended hotels. You are also advised to check TripAdvisor