This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
For further information about this project, please contact:
The EXTREME-FUTURES project will develop a new seamless framework to improve forecasts of hydroclimatic extremes, such as flash floods and prolonged storms. EXTREME-FUTURES will combine advanced climate science with artificial intelligence, to map how large-scale climate drivers link to local extreme events, identify weaknesses in existing models, and build plausible worst-case scenarios to help communities adapt.
This project will primarily use python for analysing large climate and weather datasets such as ERA5, UKCP18 and CMIP.
Specific libraries which will be used include pandas, xarray, matplotlib, geopandas and scipy. Additional python-based software packages for tracking such as LATTIN https://lattin.readthedocs.io/en/latest/ and MOAAP https://github.com/AndreasPrein/MOAAP will also be used.