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.