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Permafrost Modeling: where does permafrost occur?
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. Model permafrost occurence in a Jupyter Notebook |
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Permafrost Modeling: the Active Layer
Explore what is active layer depth and the effects of snow and soil water content on permafrost. This is lesson 2 in a mini-course on permafrost. It employs a 1D configuration of the Kudryavtsev model. Model active layer thickness and its controls |
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Permafrost Modeling: making maps from gridded climate data
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. Create maps of permafrost using climate reanalysis grids in WMT |
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Permafrost Modeling: looking at future permafrost with climate models
Using the Frost number code and grids of climate model input data (CMIP5), allows you to map predictions of permafrost occurrence. This is lesson 4 in a mini-course on permafrost. What would permafrost look like at the end of the 21st century? |
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Sediment Supply to the Global Ocean
Investigate river sediment supply to the ocean by exploring the effects of climate changes on river fluxes. We also look at the effect of humans on rivers: the building of a reservoir. Spreadsheet Lab or the HydroTrend Modeling |
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Future Sediment Flux of the Ganges River
Investigate river sediment supply of the monsoon-driven Ganges River. Exploring the effects of future climate changes. We validate model against observations and discuss uncertainty. Ganges Modeling |
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River-Delta Interactions
Explore coastal processes by 1) a spreadsheet lab or 2) an advanced modeling lab using the CEM model. We look at the effects of waves and river avulson on the coastline. Spreadsheet Lab or the CEM WMT modeling |
