Banusch, SandraSomogyvari, MarkSauter, MartinRenard, PhilippeEngelhardt, Irina2022-07-202022-07-202022-07-20https://depositonce.tu-berlin.de/handle/11303/17242http://dx.doi.org/10.14279/depositonce-16021This dataset contains (1) The realizations for the five hundred 3D conduit networks (.vtk output files) generated using the SKS algorithm (Borghi et al., 2012), which form the basis for the Karst Probability Map. (2) An overview and further explanations of the parameters assigned to the Fast-Marching-Algorithm in the SKS. (3) Climate data (Precipitation, Tmin & Tmax) from 1990 to 2018 over the recharge area of the Western Mountain Aquifer (Israel & Palestinian Territories). Information on each station can be found in the file "stations". It includes data for research paper: "Banusch, S., Somogyvari, M., Sauter, M., Renard, P., Engelhardt, I. (2022). Stochastic Modelling Approach to identify Uncertainties of Karst Conduit Networks in Carbonate Aquifers" published in Water Resources Researchen551 Geologie, Hydrologie, Meteorologiekarststochastic modellingStochastic Modelling Approach to identify Uncertainties of Karst Conduit Networks in Carbonate Aquifers - DataGeneric Research Data