Supplements for Inferring Long-Term Tectonic Uplift Patterns from Bayesian Inversion of Fluvially-Incised Landscapes paper

Data and File Organization: Natural Landscapes (DEM): Look for .tif files containing DEMs of natural landscapes. These files are in latitude-longitude coordinates; convert them to UTM if needed. Synthetic Landscapes (DEM): DEM files for synthetic landscapes, ready for use in inversion schemes, are labeled with a syn_ prefix. Climatic Data: Climatic data for the Himalayas is available in climate_data_him.zip. Running the Code: Loading DEMs: Use the loadDEM package to load your DEM file. Specify Z0 and A0 values, then plot the landscape and basinID for reference. Identifying Basins of Interest: Determine which basinIDs are of interest, then save them as forward objects. The functions for this process are available within the relevant packages. Loading the Forward Model: Load the forward model from the saved file using the appropriate function in the frd package. Choose the number of knots and specify if you prefer a 1D or 2D inversion. Running and Plotting Inversion Results: After running the inversion, view results in inversion.step. Plot these results using the plotting functions in the frdplotting package. Setup and Installation: Install the package scabbard with: pip install pyscabbard All other Python dependencies are standard and can be installed via pip or conda as needed.