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• Lab-0003  + (This lab is the third in a series of intro … This lab is the third in a series of introduction to permafrost process modeling. In this third lesson, we further use the Air Frost number model and learn to use this model to create spatially varying predictions of permafrost in the CSDMS Python Modeling Tool (Pymt). We implemented the Air Frost number model (as formulated in Nelson and Outcalt, 1987). This pseudo-2D implementation is named the Frost-number GEO model.</br></br>This series of labs is designed for inexperienced modelers to gain some experience with running a numerical model, changing model inputs, and analyzing model output. Specifically, this lab combines the simple model with a climate reanalysis dataset, modified from the CRU-NCEP climate data over the 20th century.</br>Basic information on the CRU_AK data component is presented in these slides. File:FrostNumberGEOModel Lecture3.pptx</br></br>This lab will likely take 1.5 -2 hrs to complete in the classroom. This time assumes you now have gained some familiarity with the Pymt and have learned how to set parameters, save runs, download data and look at output. If this is not the case, either start with Lab 1 in this series, or learn how to use Pymt (https://pymt.readthedocs.io/en/latest/install.html). </br></br>If you are a faculty at an academic institution, it is possible to work with us to get temporary teaching accounts. Work directly with us by emailing: csdms@colorado.eduly with us by emailing: csdms@colorado.edu)
• Lab-0006  + (This lab replicates and improves upon simu … This lab replicates and improves upon simulations originally run by Frances Dunn and Stephen Darby, reported in Darby et al. 2015. This simulation is driven by climate predictions (daily temperature and precipitation) obtained from the Hadley Centre (HadRM3P) Regional Climate Model. The Q0 realization is utilized in this lab.<br><br></br></br><p>This lab can be run on the <em>explore</em> (for educators) and <em>jupyter</em> (for general use) instances of EarthscapeHub: just click one of the links under the <strong>Run online using</strong> heading at the top of this page, then run the notebook in the "CSDMS" kernel.</p></br></br><p>If you don't already have an EarthscapeHub account, follow the instructions to sign up at https://csdms.colorado.edu/wiki/JupyterHub. If you're an educator, you can get EarthscapeHub accounts for you and your students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.</p>you and your students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.</p>)
• Lab-0037  + (This notebook: <ul> <li>Impor … This notebook:</br></br><ul></br><li>Imports SRTM elevation data into a GRASS project using the Topography Data Component (bmi-topography).</br><li>Offers opportunities for advanced GRASS calculations using imported elevation data.</br><li>Loads a GRASS layer as a Landlab RasterModelGrid for future modeling endeavors.</br><li>Exports elevation data from GRASS GIS as a .tif file</br></ul>rs. <li>Exports elevation data from GRASS GIS as a .tif file </ul>)
• Lab-0022  + (This was used as a lab to analyze velocity data from a month long deployment in a nearby stream. It was used as part of a final group project students were doing and to further their introduction and comfort with python and pandas dataframes.)