Biogeomorphic modeling to assess resilience of tidal marsh restoration to sea level rise and sediment supply - Supporting code and data

Code and data to reproduce figures and analyses of the paper: Gourgue, O., van Belzen, J., Schwarz, C., Vandenbruwaene, W., Vanlede, J., Belliard, J.-P., Fagherazzi, S., Bouma, T.J., van de Koppel, J., and Temmerman, S.: Biogeomorphic modeling to assess resilience of tidal marsh restoration to sea level rise and sediment supply, Earth Surf. Dynam., submitted. Standard Python dependencies: GDAL Geopandas Matplotlib NumPy Rasterio SciPy Seaborn Shapely scikit-learn Third-party Python dependencies: Centerline (https://github.com/fitodic/centerline) pputils (https://github.com/pprodano/pputils) pysheds (https://github.com/mdbartos/pysheds) In-house Python dependencies: Demeter 1.0.5 (https://doi.org/10.5281/zenodo.5205258) OGTools 1.1 (https://doi.org/10.5281/zenodo.3994952) TidalGeoPro 0.1 (https://doi.org/10.5281/zenodo.5205285)This project has received funding from the Vlaams-Nederlandse Scheldecommissie (VNSC), the European Union's Horizon 2020 research and innovation program (Marie Skłodowska-Curie Actions – global postdoctoral fellowship – grant nr. 798222) and the Research Foundation – Flanders (FWO – fundamental research project – grant nr. G060018N). The resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation – Flanders (FWO) and the Flemish Government. SF was partly funded by the USA National Science Foundation awards 1637630 (PIE LTER) and 1832221 (VCR LTER)