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.
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
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