Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution datadoi:10.18419/darus-1776DaRUS2021-06-181Banerjee, Ishani, 2021, "Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data", https://doi.org/10.18419/darus-1776, DaRUS, V1Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution datamodeling data and Post-processing codes for the manuscriptdoi:10.18419/darus-1776Banerjee, IshaniGuthke, AnneliNowak, WolfgangResearch Training Group GRK1829DaRUSBanerjee, IshaniBanerjee, IshaniBanerjee, Ishani2021-03-23Earth and Environmental SciencesEngineeringJaccard CoefficientInvasion Percolation ModelsModel-Data-FitMultiphase FlowPorous MediumThis dataset contains modeling data used to obtain the results and figures in the manuscript: "Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data." In particular, the model realization data and post-processing codes for the manuscript can be found here.Simulation dataBanerjee, I., Guthke, A., Van de Ven, C. J. C., Mumford, K. G. & Nowak, W. (2021). Overcoming the Model-Data-Fit Problem in Porous Media: A Quantitative Method to Compare Invasion-Percolation Models to High-Resolution Data. Water Resources Research, 57, e2021WR029986.10.1029/2021WR029986Banerjee, I., Guthke, A., Van de Ven, C. J. C., Mumford, K. G. & Nowak, W. (2021). Overcoming the Model-Data-Fit Problem in Porous Media: A Quantitative Method to Compare Invasion-Percolation Models to High-Resolution Data. Water Resources Research, 57, e2021WR029986.CompMethod_readme.txttext file with details of the codes and data provided in this datasettext/plainGaussSmooth_test.mcode: Diffused Jaccard coefficient for a single image and its translation; helpful to understand the computation of Diffused Jaccard coefficient; calls "mygaussfilt.m"text/plainGasmat.rar3d matrices containing the gas path development in time along 3rd-dimensionapplication/x-rar-compressedModelcounter_block.rar2d arrays, containing col1: loop counter number and col2: number of blocks invaded.application/x-rar-compressedTimematch_all_IP.matcell array consisting the entire time-match sequence for each realization.application/matlab-matTimematch_final_IP.mateach row contains the loop counter for the final image time-match of that realizationapplication/matlab-matMoments.mcode: Spatial moments (zeroth, first and second) computation of images in 2D space text/plainmygaussfilt.mcode: Gaussian blurring kerneltext/plainMyPostProcessing.mcode: main post-processing code (methods of comparison); calls "mygaussfilt.m" and "Moments.m"text/plainTime_match.mvolume based time-matching codetext/plain