Data Component Use Case for Overland Flow Simulation

1.5 hrs
Run online using:
  1. Jupyter
  2. Lab
     Jupyter logo.png

    Tian Gan at INSTAAR - University of Colorado Boulder.
    Greg Tucker at Geological Sciences - University of Colorado Boulder.
    Irina Overeem at Geological Sciences - University of Colorado Boulder.

Overland flow.png
Overland flow, particularly the infiltration-excess mechanism, is affected by the nature of water input through precipitation. This lab demonstrates how to use the CSDMS Data Components ( to download the topography dataset and use the Landlab components ( to delineate the watershed and simulate the overland flow for a study area in the Boulder County.

Classroom organization
In this lab, you will learn how to use Topography and ERA5 Data Components to download terrain and precipitation datasets. You will also learn how to use the Landlab components (FlowAccumulator, ChannelProfiler, OverlandFlow) and the Landlab utility (get_watershed_mask) for watershed delineation and overland flow simulation.

Learning objectives
  • Learn to use Data Components to download research datasets.
  • Learn to couple Data and Model Components for overland flow simulation.
Key concepts
  • Landlab
  • Data-Model Integration
  • CSDMS Data Component

Lab notes
This lab can be run on the lab (for educators) and jupyter (for general use) instances of the OpenEarthscape JupyterHub: just click one of the links under the Run online using heading at the top of this page, then run the notebook in the "CSDMS" kernel.

If you don't already have a JupyterHub account, follow the instructions to sign up at If you're an educator, you can get JupyterHub accounts for students--please contact us through the CSDMS Help Desk:

If run locally, please follow the instruction at

This work was supported by the National Science Foundation under collaborative grants 1831623, 2026951, 2140831, 2104102, and 2148762.

  • Barnhart, K. R., Hutton, E. W. H., Tucker, G. E., M. Gasparini, N., Istanbulluoglu, E., E. J. Hobley, D., J. Lyons, N., Mouchene, M., Siddhartha Nudurupati, S., M. Adams, J., & Bandaragoda, C. (2020). Short communication: Landlab v2.0: A software package for Earth surface dynamics. Earth Surface Dynamics, 8(2), 379–397.
  • de Almeida, G. A., Bates, P., Freer, J. E., & Souvignet, M. (2012). Improving the stability of a simple formulation of the shallow water equations for 2‐D flood modeling. Water Resources Research, 48(5).
  • Adams, J. M., Gasparini, N. M., Hobley, D. E. J., Tucker, G. E., Hutton, E. W. H., Nudurupati, S. S., and Istanbulluoglu, E. (2017). The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds, Geoscientific Model Development, 10, 1645–1663,
  • Gan, T., Tucker, G.E., Hutton, E.W.H., Piper, M.D., Overeem, I., Kettner, A.J., Campforts, B., Moriarty, J.M., Undzis, B., Pierce, E., McCready, L., 2024: CSDMS Data Components: data–model integration tools for Earth surface processes modeling. Geosci. Model Dev., 17, 2165–2185.