SEAMLESS-WAVE is a developing “SoftwarE infrAstructure for Multi-purpose fLood modElling at variouS scaleS” based on "WAVElets" and their versatile properties. The vision behind SEAMLESS-WAVE is to produce an intelligent and holistic modelling framework, which can drastically reduce iterations in building and testing for an optimal model setting, and in controlling the propagation of model-error due to scaling effects and of uncertainty due statistical inputs.
View the Project on GitHub ci1xgk/Fellowship_Webpage
Team and partners
The team involves researchers working at the interface between mathematics, hydraulic modelling and software engineering, which includes:
- Georges Kesserwani, Research Fellow, University of Sheffield
- James Shaw, Research Associate, University of Sheffield
- Mohammad K. Sharifian, Research Associate, University of Sheffield
- Mahya Hajihassanpour, Research Associate, University of Sheffield
- Alovya Chowdhury, PhD student, University of Sheffield
with contribution from:
- Janice L. Ayog, PhD student, University of Sheffield
- Mohammad Shirvani, PhD student, University of Sheffield
- Xitong Sun, PhD student, University of Sheffield
- Per Pettersson, Research Collaborator, University of Bergen
- Ilhan Ozgen, Research Collaborator, Berkeley Lab
- Paul Richmond and the RSE group at the University of Sheffield
We are greatful to the following scientists, who serve on our steering committee meetings to provide scientific guidance:
We are also greatful to many external partners serving on our steering committee meetings to provide practical guidance, inluding:
- UK Environment Agency (incident management and modelling)
- BMT Group (providers of ‘TUFLOW’ software suite)
- JACOBS (suppliers of ‘Flood Modeller Suite’)
- Innovyze (providers of ‘InfoWorks ICM’ product)
- DHI Group (suppliers of ‘MIKE FLOOD’ software)
- Sheffield City Council (flood and water management team)
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