Browse wiki
From CSDMS
Creation date"Creation date" is a predefined property that corresponds to the date of the first revision of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
20:40:47, 31 March 2020 +
Has query"Has query" is a predefined property that represents meta information (in form of a <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Subobject">subobject</a>) about individual queries and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
These labs are developed with support from NSF Grant 1503559, ‘Towards a Tiered Permafrost Modeling Cyberinfrastructure’ +
2.0 hrs +
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 +
3 of 4 +
FrostNumberGEOModel Lecture3.pptx +
Permafrost +
March 31, 2020 +
-- +
Using the Frost number code and grids of climate input data, one can make predictions of permafrost occurrence over the last century in Alaska. This is lesson 3 in a mini-course on permafrost. +
Frost Model +
Frostnumber air in frostnumber 1971.png +
You can launch binder to directly run the … You can launch binder to directly run the Jupyter Notebook for this lab through a web browser.</br></br>>> Open a new browser window and open the Pymt read the docs page (https://pymt.readthedocs.io/en/latest/examples.html)</br></br>>> You will see that there are several example models. </br></br>>> Click on the 'Launch Binder' box and it will allow you to see this lab as a Jupyter Notebook.</br></br>>> You can execute the Jupyter notebook code cells using shift -enter.ou can execute the Jupyter notebook code cells using shift -enter. +
Image:Permfrostriver.jpg +
Nelson, F.E., Outcalt, S.I., 1987. A computational method for prediction and prediction and regionalization of permafrost. Arct. Alp. Res. 19, 279–288. +, Daly, C., et al., 2008. Physiographic sensitive mapping of climatological temperature and precipitation across the conterminous US. Int. J. Climatol. DOI: 10.1002/joc.1688 +, Harris, I., Jones, P, Osborne, T, Lister, D., 2014. Updated high-resolution grids of monthly climaticobservations – the CRU TS3.10 Dataset. J. Climatol. 34: 623–642. + and Chadburn, S.E., Burke, E.J., Cox, P.M., Friedlingstein, P., Hugelius, G., Westerman, S., 2017. An observation-based constraint on permafrost loss as a function of global warming.Nature Climate Change, 10 APRIL 2017. DOI: 10.1038/NCLIMATE3262 +
Last editor is"Last editor is" is a predefined property that contains the page name of the user who created the last revision and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
Modification date"Modification date" is a predefined property that corresponds to the date of the last modification of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
21:31:37, 20 April 2022 +
