Session B1: Data Assimilation Techniques for Uncertainty Reduction

Chairs: Sophie Ricci, Goutal.

Schedule

Wednesday July 13th
Time Title Authors Room Moderator(s)
10:30-10:50 Uncertainty quantification with Polynomial chaos expansion in Ensemble based data assimilation framework Nabil El Mocayd, Sophie Ricci, Nicole Goutal, Mélanie Rochoux, Sébastien Boyaval, Cédric Goeury and Didier Lucor B122/123 Sebastien Barthelemy
10:50-11:10 A Bayesian method for data assimilation in probabilistic wave forecasting Quillon Harpham, Nigel Tozer, Paul Cleverley, David Wyncoll and Doug Cresswell B122/123
11:10-11:30 Multi-dimensional hydraulic coupling for flood forecasting Sébastien Barthélémy, Sophie Ricci, Nicole Goutal, Thierry Morel and Etienne Le Pape B122/123
11:30-11:50 Future flood extents: capturing the uncertainty associated with climate change Lila Collet, Lindsay Beevers and Faye Entwistle B122/123
14:30-14:50 Comparison of offline and online bias correction of WRF-EURAD in Porto, Portugal Ka In Hoi, Ka Veng Yuen, Kai Meng Mok, Ana Miranda and Isabel Ribeiro B122/123 M. Rochoux
14:50-15:10 Bayesian Estimation of Source Term of Atmospheric Radiation Release with Interval Prior Ondřej Tichý, Václav Šmídl and Radek Hofman B122/123
15:10-15:30 A mathematical model for GHG from SB-MBR: calibration by an innovative protocol Giorgio Mannina and Alida Cosenza B122/123
15:30-15:50 Data-driven wildfire behaviour modelling: application of FIREFLY to field-scale grassland controlled burns Melanie Rochoux, Cong Zhang, Didier Lucor, Sophie Ricci and Arnaud Trouve B122/123
15:50-16:10 Optimal land use?! – A review on optimization techniques used in multi-criteria decision analysis Andrea Kaim, Anna Cord and Martin Volk B122/123
16:10-16:30 Fire-spotting modelling and parametrisation for wild-land fires Inderpreet Kaur and Gianni Pagnini B122/123