This outline will evolve as the course proceeds.

Day 1: Introduction to programming

• Lecture: Short course introduction
  • Geohazards and geoprocesses
  • Course plan and today's plan
  • Demonstration of the Landlab model toolkit
  • How to install Landlab on your computer
• Python introduction
  • A tour of Spyder, an integrated development environment (IDE)
  • Hands-on in the console: Declaring variables, data structures, troubleshooting
  • Hands-on in the editor: Writing loops, importing modules, comments, code style

Day 2: Numerical Python and numerical modeling

• How to install Spyder on your computer
• Hands-on introduction to numpy and matplotlib
• Lecture: Introduction to numerical modeling
• Program a 1-dimensional hillslope diffusion model
• Optional preparation for tomorrow (Day 3): We will learn how to load a digital elevation model (DEM) using Landlab. Bring a DEM of your area of interest. We can load it if we have time tomorrow afternoon. Bring it as a txt or asc formatted file. Please restrict the file to less than 10 MB.

Day 3: Landlab modeling toolkit

• Lecture: Introduction to the Landlab
  • The Landlab library
  • Model grid
  • Model components
  • How to install Landlab on your computer
• Hands-on Landlab demonstration.
  • Building a model driver, which is the Python script that executes a model.
  • Importing and exporting digital elevation models.
  • GIS-like functionality
• Suggested reading for Day 4: Adams et al., 2017, The Landlab v1.0 OverlandFlow component

Day 4: OverlandFlow model component

• Theory and exploration of modeling flood inundation using a Landlab component that simulates overland flow.
• Lecture: Community Surface Dynamics Modeling System (CSDMS)
• Use Jupyter Notebook to:
  • use Landlab tutorials
  • teach earth surface processes using models
• Suggested reading for Day 5: Strauch et al., 2018, A hydro-climatological approach to predicting regional landslide probability using Landlab

Day 5: Landslide model component

Theory and exploration of landslide probability of failure simulations using the Landlab landslide component.

Spare time topics

• Bash
• Python functions and classes
• git
• Fire component