The full list of papers referencing/using SAFE can be found on Scopus.

Here is a list of our recent applications with additional material, including (when possible) a Matlab workflow script and additional functions to reproduce the paper results with SAFE.

Almeida, S., Holcombe, E. A., Pianosi, F., and Wagener, T. (2017), Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change, Nat. Hazards Earth Syst. Sci., 17, 225-241, doi:10.5194/nhess-17-225-2017. (Open Access)
Keywords: parameter vs climate uncertainty; scenario-discovery; CART


Pianosi, F., Wagener, T. (2016), Understanding the time-varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysis. Hydrol. Process., doi: 10.1002/hyp.10968. (Open Access)
Keywords: parameter vs data uncertainty; time-varying GSA; sensitivity & identifiability; PAWN method
Additional material: workflow script (and data) to implement the analysis presented in the paper


Savage, J.T.S., Pianosi, F., Bates, P., Freer, J., Wagener, T. (2016), Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model, Water Resources Research, 52(11), 9146-9163, doi:10.1002/2015WR018198.
(Open Access)
Keywords: parameter vs data uncertainty; discrete modelling choices