Presenters-0092: Difference between revisions
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|CSDMS meeting event year=2016 | |CSDMS meeting event year=2016 | ||
|CSDMS meeting presentation type=Clinic | |CSDMS meeting presentation type=Clinic | ||
|CSDMS meeting first name= | |CSDMS meeting first name=Greg | ||
|CSDMS meeting last name=Tucker | |CSDMS meeting last name=Tucker | ||
|CSDMS meeting institute=University of Colorado, Boulder | |CSDMS meeting institute=University of Colorado, Boulder | ||
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|CSDMS meeting abstract presentation=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. | |CSDMS meeting abstract presentation=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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|Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group | |Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group | ||
|CSDMS meeting presentation=GregTucker_CSDMS_2016_annual_meeting_Clinic.pdf | |||
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Latest revision as of 16:34, 11 June 2025
Joint CSDMS-SEN annual meeting 2016: Capturing Climate Change
Modeling Earth-Surface Dynamics with LandLab
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: