Presenters-0469: Difference between revisions
From CSDMS
m Add youtube views template if missing |
m Text replacement - "\|CSDMS meeting youtube views=\{\{(Youtube_[^}]+)\}\}" to "|CSDMS meeting youtube views={{#explode:{{$1}}| |0}} |CSDMS meeting youtube AverageViews={{#explode:{{$1}}| |1}}" |
||
| Line 30: | Line 30: | ||
|CSDMS meeting abstract presentation=Landlab is a Python-based toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics. This clinic will first provide a short hands-on introduction to Landlab's features and capabilities. We will highlight examples from several existing models built within the Landlab framework, including: coupling of local ecohydrologic processes, spatial plant interactions, and disturbances (fires and grazing); landscape evolution impacted by plants; overland flow impacted by changing soil properties; and effects of topographic structure on species distribution and evolution. Models will be run with various scenarios for climate change and anthropogenic disturbances, and evolution of state variables and fluxes across the landscape will be explored. We will also show the use of gridded climate data products to drive Landlab simulations. 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). | |CSDMS meeting abstract presentation=Landlab is a Python-based toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics. This clinic will first provide a short hands-on introduction to Landlab's features and capabilities. We will highlight examples from several existing models built within the Landlab framework, including: coupling of local ecohydrologic processes, spatial plant interactions, and disturbances (fires and grazing); landscape evolution impacted by plants; overland flow impacted by changing soil properties; and effects of topographic structure on species distribution and evolution. Models will be run with various scenarios for climate change and anthropogenic disturbances, and evolution of state variables and fluxes across the landscape will be explored. We will also show the use of gridded climate data products to drive Landlab simulations. 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). | ||
|CSDMS meeting youtube code=0 | |CSDMS meeting youtube code=0 | ||
|CSDMS meeting youtube views={{Youtube_0}} | |CSDMS meeting youtube views={{#explode:{{Youtube_0}}| |0}} | ||
|CSDMS meeting youtube AverageViews={{#explode:{{Youtube_0}}| |1}} | |||
|CSDMS meeting participants=0 | |CSDMS meeting participants=0 | ||
}} | }} | ||
Latest revision as of 16:34, 11 June 2025
CSDMS 2020: Linking Ecosphere and Geosphere
Modeling the Ecosphere using Landlab
Abstract
Landlab is a Python-based toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics. This clinic will first provide a short hands-on introduction to Landlab's features and capabilities. We will highlight examples from several existing models built within the Landlab framework, including: coupling of local ecohydrologic processes, spatial plant interactions, and disturbances (fires and grazing); landscape evolution impacted by plants; overland flow impacted by changing soil properties; and effects of topographic structure on species distribution and evolution. Models will be run with various scenarios for climate change and anthropogenic disturbances, and evolution of state variables and fluxes across the landscape will be explored. We will also show the use of gridded climate data products to drive Landlab simulations. 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).
Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know (CSDMSweb@colorado.edu) and we will respond as soon as possible.
Of interest for:
