Data underlying the publication: Incorporating Forecast Uncertainty into Anticipatory Flood Management using a Bayesian Decision Support Framework

This research proposes to demonstrate how a Bayesian decision model can be used to identify the optimal anticipatory actions that minimise the expected losses associated with different flood vulnerability characterisations for selected neighbourhoods (Shyahkas) across Alexandria. The dataset includes output files of the Weather Research Forecasting model. The model is initialised with Global Ensemble Forecast System (GEFS) data over the Alexandria area, Egypt.The original NetCDF files have been converted to .npy files to manage the size. The ensemble rainfall data provided in this dataset is used to develop the probability distribution functions used in the Bayesian decision model, as detailed in the publication and thesis. The scripts for the Bayesian Decision model are also included.