- Paul Barnard (Python software developer at JBA Consulting)
- Albert Chen (Senior research fellow at University of Exeter on hydraulic modelling and risk assessment)
- Sam Griffiths (Python Developer for JBA Consulting)
- Laura Ludwinski (Software developer for JBA Consulting)
- Li-Pen Wang (Postdoc researcher at KU Leuven)
- Peter Watson (Postdoc at Oxford University)
- To summarise GloFAS forecast information into a 'Time to respond' map that helps decision making before/during flood emergency. This is present in a user friendly way with key statistics which could help decision making.
What it does:
- Obtains all 51 ensembles for a forecast over the next 30 days
- Processes these against the static return period discharge thresholds
- Allows the plotting of flood probability for each day
- This allows us to do further processing to highlight how long LLFAs, charities or any flood response teams have to respond to a potential flood.
How its built:
- Python code
- Data manipulation
- Data was finally downloaded and we produced the start of our final product
What was learned:
- What a hack-a-thon involves
What's next for LIVE (Logistic and Infrastructure Visual Evaluation):
- More map processing!!
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