Lab-0001: Difference between revisions
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|Labtitle=Introduction to Permafrost Processes - Lesson 1 Frost Number Model | |Labtitle=Introduction to Permafrost Processes - Lesson 1 Frost Number Model | ||
|LabCOModule=1 of | |LabCOModule=1 of 2 | ||
|LabCOSeriesName= | |LabCOSeriesName=Permafrost | ||
|LabDateContributedOrUpdated=2020/03/20 | |LabDateContributedOrUpdated=2020/03/20 | ||
|LabPicture=Patternedground.png | |LabPicture=Patternedground.png |
Revision as of 13:22, 22 March 2020
Introduction to Permafrost Processes - Lesson 1 Frost Number Model
This lab is part of the series Permafrost. Others in this series are:
- Permafrost Modeling - where does permafrost occur? (1 of 4)
- Permafrost Modeling - the Active Layer (2 of 4)
- Permafrost Modeling - making maps from gridded climate data (3 of 4)
- Permafrost Modeling - looking at future permafrost with climate models (4 of 4)
Contributor(s)
Irina Overeem at CSDMS , University of Colorado.
Mark Piper at CSDMS , University of Colorado.
Kang Wang at East China Normal University.
Scott Steward at CSDMS , University of Colorado.
Elchin Jafarov at Los Alamos National Labs, NM.
Learning objectives
Skills
Skills
- Familiarize with a basic configuration of the Air Frost Number Model
- Make small changes to key input parameters
- See how to write a loop for calculations over a time series
- Hands-on experience with visualizing output in Python
Key concepts
- What is the primary control on the occurrence of permafrost
- Freezing and thawing day indices and how to approximate these
- Where in Russia permafrost occurs
- Critical evaluation of what the Air Frost number approximates
Requirements
Software is required
References
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