The directories in the compressed archives contain the raw data used in the Water Resources Research publication: Comparing seven variants of the Ensemble Kalman Filter: How many synthetic experiments are needed? The article can be found under https://doi.org/10.1029/2018WR023374 Extracting the data At first, extract the directory of the figure: tar -xzvf figure_1.tar.gz Move the compressed archives to a directory of the form: 1) Tracer: $HOME/shematOutputDir/wavereal_output/ 2) Well: $HOME/shematOutputDir/wavewell_output/ Then run a command of the following form tar -xzvf 2010_01_30.tar.gz or, to suppress output and return to the command line immediately tar -xzf 2010_01_30.tar.gz & Now the output files of 2010_01_30.tar.gz are readable for the Python Scripts. Python Scripts The Python Scripts for generation of the figures in the manuscripts can be found in the Github repository: pyshemkf under https://doi.org/10.5281/zenodo.1344336 or for the up-to-date version of pyshemkf: https://github.com/jjokella/pyshemkf Documentation of and links to the scripts can be found under: https://github.com/jjokella/pyshemkf#manuscript-scripts

Deutsche Forschungsgemeinschaft (DFG): Johannes Keller CL 121/26-1; Deutsche Forschungsgemeinschaft (DFG): HE 6239/3-1 The part of the funding with reference number CL 121/26-1 was received by Prof. Christoph Clauser at RWTH Aachen.