Lab-0001: Difference between revisions
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|LabDescriptionShort=What is permafrost and how do you make a first-order prediction about permafrost occurrence. This is lesson 1 in a mini-course on permafrost, this lab uses the Air Frost Number and annual temperature data to predict permafrost occurrence. | |||
|LabDescription=Longer description here asdfasdf | |LabDescription=Longer description here asdfasdf | ||
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Revision as of 14:50, 21 March 2020
Introduction to Permafrost Processes - Lesson 1 Frost Number Model
This lab is part of the series '. Others in this series are:Some use of "" in your query was not closed by a matching "".
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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