Presenters-0092

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Joint CSDMS-SEN annual meeting 2016: Capturing Climate Change


Modeling Earth-Surface Dynamics with LandLab



Greg Tucker

University of Colorado, Boulder, United States
gtucker@colorado.edu
Daniel E.J. Hobley University of Colorado, Boulder United States
Sai S. Nudurupati Univ. of Washington United States
Jordan M. Adams Tulane University United States
Eric Hutton University of Colorado, Boulder United States
Nicole M. Gasparini Tulane University United States
Erkan Istanbulluoglu Univ. of Washington United States

Abstract
Landlab is a Python-language programming library that supports efficient creation of two-dimensional (2D) models of diverse earth-surface systems. For those new to Landlab, this clinic will provide a hands-on introduction to Landlab's features and capabilities, including how to create a grid, populate it with data, and run basic numerical algorithms. For experienced Landlab users, we will review some of the new features in this first full-release version, explore how to created integrated models by combining pre-built process components, and learn the basics of writing new components. Participants are encouraged to install Landlab on their computers prior to the clinic. Installation instructions can be found at: http://landlab.github.io (select "Install" from the menu bar at the top of the page). Clinic participants who have particular questions or applications in mind are encouraged to email the conveners ahead of the CSDMS meeting so that we can plan topics and exercises accordingly.

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Of interest for:
  • Terrestrial Working Group
  • Coastal Working Group
  • Marine Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Hydrology Focus Research Group