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Effective-Soil-Biogeochemial-Modeling

Supplementary Material for "Equifinality, sloppiness, and emergent structures of soil biogeochemical models" by Marschmann et al. (2018)

  • to reproduce Fig.3 run PerfectDataSpec.py in Subfolders of Universally_Sloppy. Then call plot_spectra.py

  • for Fig.2 run the following scripts in Monod_Model: monod_model.py, generate_ensemble_predictions.py, generate_geodesics.py. Then plot with plot_timeseries.py, plot_landscape.py, plot_manifold_PCA.py

  • for Fig.4 run PlotSpectrum.py in the respective subfolders Functional_Gene_Data, Bulk_Data and Input_Output_Data. In order to check every iteration in the model reduction, run modelN_fit.py and modelN_reduce.py in the corresponding folder ModelN

  • for Fig. 5 run Performance/plot_calibrations.py. For model predictions, message me for the data files or uncomment lines in Functional_Gene_Data(MCPA_Data)/Model0/model0_fit.py and Functional_Gene_Data(MCPA_Data)/Model32/model32_fit.py to run the MCMC optimization (approx. 2 days)

  • for Fig. 6, the MATLAB R2017a Toolbox SAFE R1.1 is needed for Global Sensitivity Analysis

  • the R code for identifiability analysis of the minimal soil C model and corresponding MBAM reduction is in folder Universally_Sloppy/German

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