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  1. Python implementation of the procedure and test cases proposed in: S. Kucherenko, S. Tarantola, P. Annoni. Estimation of global sensitivity indices for models with dependent variables Comput. Phys.…

    Jupyter Notebook 6 1

  2. This repository contains the code to reproduce the analysis in : Ciullo et al. Increasing countries’ financial resilience through global catastrophe risk pooling

    Jupyter Notebook 2

  3. Simulation model to assess the risk reduction of (1) dike heightening, (2) making room for the River and (3) discharge distribution strategies along the Lower Rhine River in the presence of hydrolo…

    Python 1