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.

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Sarrazin, F., Hartmann, A., Pianosi, F. Rosolem, R. Wagener, T. (2018), V2Karst V1.1: a parsimonious large-scale integrated vegetation–recharge model to simulate the impact of climate and land cover change in karst regions, Geosci. Model Dev., 11, 4933-4964, doi.org/10.5194/gmd-11-4933-2018. (Open Access)
Keywords: model calibration; testing and validation; CART

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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

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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

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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