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

Data and File Organization 1. Natural Landscapes (DEMs) Files: .tif files containing Digital Elevation Models (DEMs) of real landscapes. 2. Synthetic Landscapes (DEMs) Files prefixed with syn_ contain synthetic DEMs created for inversion testing. 3. Climatic Data Directory: climate_data Contains climate data for all natural landscapes Code and Examples For example scripts and the latest codebase, visit the GitHub repository:🔗 https://github.com/baroryan/ChInversionLandscpes Setup and Installation We recommend using Python 3.11 in a clean conda environment. Quick Setup Instructions: conda create -n landscapes -c conda-forge python=3.11 xtensor-python pip conda activate landscapes pip install taichi pip install numba pip install pyscabbard pip install daggerpy