Published March 19, 2020 | Version 1.1

Supporting data for "A convolution method to assess subgrid-scale interactions between flow and patchy vegetation in biogeomorphic models"

  • 1. University of Antwerp & Boston University
  • 2. NIOZ Royal Netherlands Institute for Sea Research & University of Antwerp
  • 3. University of Delaware
  • 4. NIOZ Royal Netherlands Institute for Sea Research
  • 5. NIOZ Royal Netherlands Institute for Sea Research & University of Groningen
  • 6. University of Antwerp

Description

Dataset necessary to reproduce the results and analyses presented in the paper:

Gourgue, O., van Belzen, J., Schwarz, C., Bouma, T.J., van de Koppel, J. & Temmerman, S. (2020) A convolution method to assess subgrid-scale interactions between flow and patchy vegetation in biogeomorphic models, Journal of Advances in Modeling Earth Systems, submitted.

The dataset contains:

  • Process-based model simulations, including their input files and the Python scripts to generate them (pre-processing), as well as the output files and Python scripts to post-process them.
  • Flume experiment data processed for the model calibration.
  • Python scripts to generate the figures and tables of the manuscript.

Notes

This project has received funding from from the VNSC (Vlaams-Nederlandse Scheldecommissie).

Files

data.zip

Files (10.6 GB)

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Additional details

Funding

European Commission
TIGER - Tidal marshes: bio-geomorphic self-organization and its implications for resilience to sea level rise and changing sediment supply 798222