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{{PageTitle|Labs}}
{{PageTitle|Labs}}
Contribute a lab: {{#formlink:form=Labs||link type=button||button text=Add a lab}}


 
<div class="row"><div class="col-sm-12"><br><center>{{#formlink:form=Labs|link type=button|link text=Add a lab to the wiki}}</center><br><br>[[Get_Lab_on_CSDMS_NB_server|Learn how to get your lab on the CSDMS JupyterHub]]<br><br></div></div>
{|{{Educational_portal_layout}}
{{#ask: [[Category:Labs]]
! colspan="2"| <b>Labs</b>
| ?Labtitle
|-
| ?LabCOModule |+order=n-asc
|valign=top|[[File:‎Shell.jpg | 200px | left | link=https://csdms.github.io/csdms-carpentry/lessons/shell/index.html]]
| ?LabCOSeriesName
|valign=top| '''Get Started with the Unix Shell'''
| ?LabDescriptionShort
These lessons will show you how to navigate and manipulate files and the file system through the Unix Shell and the basics of cluster computing. These skills are fundamental for using the CSDMS HPCC. [https://csdms.github.io/csdms-carpentry/lessons/shell/index.html Shell Tutorial]
| ?LabModelDocumentation
|-
| ?LabPicture
|-
| ?LabCODuration
|valign=top|[[File:‎Python.jpg | 200px | left | link=https://csdms.github.io/csdms-carpentry/lessons/python/index.html]]
| ?LabAssociatedLesson
|valign=top| '''Get Started with Python'''
| sort= LabCOModule
These lessons cover the basics of using Python 2.7 for numerical modeling. Some previous experience in scientific programming is helpful but not necessary. [https://csdms.github.io/csdms-carpentry/lessons/python/index.html Python Tutorial]
| limit=5000
|-
| template=Labs_table
|-
| format=template
|valign=top|[[File:‎Git.jpg | 200px | left | link=https://csdms.github.io/csdms-carpentry/lessons/git/index.html]]
}}</table>
|valign=top| '''Get Started with Version Control'''
These lessons teach you the basics of Version Control using git and Github. [https://csdms.github.io/csdms-carpentry/lessons/git/index.html Version Control Tutorial]
|-
|-
|valign=top|[[File:‎Lab3sedsupply.png | 200px | left | link=Labs_WMT_River_Sediment_Supply]]
|valign=top| '''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.
[[media:RiverFluxtoOceanSpreadsheetLab.zip| Spreadsheet Lab]] or the
[[Labs_WMT_River_Sediment_Supply|HydroTrend Modeling]]
|-
|valign=top|[[File:‎GangesMap.png | 200px | left | link=Labs_WMT_Ganges_Sediment_Supply]]
|valign=top| '''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.
[[Labs_WMT_Ganges_Sediment_Supply|Ganges Modeling]]
|-
|valign=top|[[File:‎BeaverCreekDEM.png | 200px | left | link=Labs_WMT_Hydrology_Meteo]]
|valign=top| '''Hydrology and Energy Balance'''
Introduction to hydrological process modeling. Learn about incoming solar radiation and the effects of watershed latitude, and local slopes and aspects on the energy balance. 
[[Labs_WMT_Hydrology_Meteo| Hydrology Modeling with WMT]]
|-
 
|valign=top|[[File:CodingD8.jpg | 200px | left ]]
|valign=top| '''Hydrology and Flow Routing'''
Learn about flow routing over a landscape and basic algorithms for numerical modeling of combined hillslope and river sediment transport processes.
[[Labs_ERODE|WMT Modeling Exercise on flow routing]]
 
 
|-
|valign=top|[[File:‎TreynorConstantRain.png| 200px | left | link=Labs_WMT_Hydrology_StreamResponsetoRain]]
|valign=top| '''Stream Response to Rain'''
Introduction to hydrological process modeling. Learn about stream responses to different rainfall events. Explore hydrographs. 
[[Labs_WMT_Hydrology_StreamResponsetoRain| Modeling Stream Response to Rainfall]]
|-
|valign=top|[[File:‎InfiltrationatRifle.jpg | 200px | left ]]
|valign=top| '''Spreadsheets on Hydrological Processes'''
These spreadsheet exercises for undergraduate students explore the main components of the water balance: precipitation, evaporation and infiltration.
[[media:Evaporation.zip‎ |  Exercise on Evaporation]]<br>
[[media:Infiltration.zip‎ |  Exercise on Infiltration]]
 
|-
|valign=top|[[File:Barrierislandevolution.png| 200px | left]]
|valign=top| '''Barrier Island and Salt Marsh Dynamics'''
Look at model simulations to explore the effects of sea level rise, river water and sediment influx and storm activity on coastal dynamics. With [https://rebeccalauzon.wordpress.com/lesson-plans/exploring-marshes-and-barrier-islands-with-a-scientific-model/ lesson plan] and activities for high school students and first year undergraduate students.
[https://rebeccalauzon.wordpress.com/geombest-a-barrier-island-marsh-model/activity/ Start the activity]<br>
 
|-
|valign=top|[[File:Salt_in_ocean_rst.png | 200px | left | link=Labs_WMT_ROMSLIte_RiverPlume ]]
|valign=top| '''ROMS-Lite Modeling: learning about grids'''
A basic configuration of the Regional Ocean Modeling System is designed for inexperienced modelers to look at a river plume affecting the coastal ocean and sediment transport.
[[Labs_WMT_ROMSLIte_RiverPlume| Learn about ROMS in WMT]]
 
|-
|valign=top|[[File:Mud001 slowsettling.png | 200px | left | link=Labs_WMT_ROMSLIte_SettlingRates ]]
|valign=top| '''ROMS-Lite Modeling: settling rates and shear stress'''
A basic configuration of the Regional Ocean Modeling System is designed for inexperienced modelers to look at sediment settle rates and shear stress in the coastal ocean.
[[Labs_WMT_ROMSLIte_SettlingRates| Learn about ROMS in WMT]]
 
|-
|valign=top|[[File:Bvstr_in_ocean_riverplume2.png | 200px | left | link=Labs_WMT_ROMSLIte_WaveForcing ]]
|valign=top| '''ROMS-Lite Modeling: wave forcing'''
A basic configuration of the Regional Ocean Modeling System with special focus on the effect of waves on bed stresses  and sediment transport in the coastal ocean.
[[Labs_WMT_ROMSLIte_WaveForcing| Learn about waves with ROMS]]
 
|-
|valign=top|[[File:Xsection_riverflood.png | 200px | left | link=Labs_WMT_ROMSLIte_RiverForcing ]]
|valign=top| '''ROMS-Lite Modeling: river forcing'''
A basic configuration of the Regional Ocean Modeling System with special focus on the effect of varying river inflow in the coastal ocean.
[[Labs_WMT_ROMSLIte_RiverForcing| Learn about flood discharge and ocean conditions with ROMS]]
 
|-
|valign=top|
[[File:Patternedground.png|200px | left | link=Labs_WMT_Permafrost_FrostNumber ]]
|valign=top| '''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.
[[Labs_WMT_Permafrost_FrostNumber| Model permafrost occurence in a Jupyter Notebook]]
|-
|valign=top|[[File:Permafrostlab icon.png| 200px | left | link=Labs_WMT_Permafrost_KudryavtsevModel1D ]]
|valign=top| '''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.
[[Labs_WMT_Permafrost_KudryavtsevModel1D| Model active layer thickness and its controls]]
|-
|valign=top|[[File:Permfrostriver.jpg| 200px | left | link=Labs_Labs_WMT_Permafrost_FrostNumberGEO ]]
|valign=top| '''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.
[[Labs_WMT_Permafrost_FrostNumberGEO| Create maps of permafrost using climate reanalysis grids in WMT]]
|-
|valign=top|[[File:LakeAKpermafrost.jpg| 200px | left | link=Labs_WMT_FuturePermafrost ]]
|valign=top| '''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.
[[Labs_WMT_FuturePermafrost| What would permafrost look like at the end of the 21st century?]]
|-
|valign=top|[[File:plume_example2.png | 200px | left | link=Labs_WMT_PLUME ]]
|valign=top| '''Modeling River Plumes'''
Riverwater and its suspended sediments will form a hypopycnal sediment plume. We will use a component called PLUME to investigate the behavior of these sediment plumes. 
[[Labs_WMT_PLUME|Plume Modeling with WMT]]
 
|-
|valign=top|[[File:‎CycloneNargisFloods2.jpg | 200px | left ]]
|valign=top| '''Sinking Deltas'''
Deltas experience rapid sea level rise. These spreadsheet exercises explore thermal expansion, global sea-level rise and local relative sea-level rise and its causes in selected major deltas. For undergraduate level classes.
[[media:Sinkingdeltas.zip‎ | Notes for students and instructors and spreadsheet exercise]]
|-
 
|valign=top|[[File:‎NewCEMcolormap.png | 200px | left ]]
|valign=top| '''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.
[[media:CoastlineEvolutionLab.zip| Spreadsheet Lab]] or the
[[Labs_WMT_CEM|CEM WMT modeling]]
 
|-
|valign=top|[[File:‎Sedfluxfjord1.png | 200px | left ]]
|valign=top| '''Stratigraphic Modeling with Sedflux2D'''
SedFlux builds stratigraphy by combining fluvial processes, plume dynamics, ocean waves and many more. This lab teaches you about Sedflux 2d and gets you started building 2D profile simulations of sea level change.  [[Labs_WMT_SEDFLUX2D|Stratigraphy Modeling in 2Dwith WMT]]
 
|-
 
|-
|valign=top|[[File:‎Sea_floor_sediment_grain.png | 200px | left ]]
|valign=top| '''Stratigraphic Modeling with Sedflux3D'''
SedFlux builds stratigraphy by combining fluvial processes, plume dynamics,avulsion, compaction and many more. This lab teaches you about Sedflux 3d and gets you started with sea level change and avulsions.  [[Labs_WMT_SEDFLUX3D|Stratigraphy Modeling in 3D with WMT]]
 
|-
|valign=top|<span class="plainlinks">[[FIle:WILSIM_grandCanyon.png| 200px | left | link=https://serc.carleton.edu/landform/start.html]]</span>
|valign=top| '''Landscape Evolution Experiments '''
WILSIM is a Web-based Interactive Landform Simulation Model.  Look at the effects of landscape geometry, climate and tectonics and see how the Grand Canyon forms over time. WILSIM runs through your browser [https://serc.carleton.edu/landform/start.html here]
 
|-
|valign=top|<span class="plainlinks">[[File:ArcticBeach.png | 200px | left | link=http://www.coastal.udel.edu/faculty/rad/ ]]</span>
|valign=top| '''Coastal Engineering Experiments '''
 
Explore waves, surge, tides and sediment transport with hands-on exercises and simple model visualizations.
Find them here [http://www.coastal.udel.edu/faculty/rad/ Coastal Processes Toolbox of Tony Dalrymple]  <br>
 
|-
|valign=top|<span class="plainlinks">[[File:Onlinechannel_Vlab.jpg | 200px | left | link=http://onlinecalc.sdsu.edu/ ]]</span>
|valign=top| '''Hydraulics and Sediment Transport Calculations '''
 
Explore hydraulics, pipe flow and sediment transport with hands-on calculation and simple model visualizations.
Find them here [http://onlinecalc.sdsu.edu/ VLab of Victor Miguel Ponce]  <br>
 
|-
|valign=top|[[File:ca1.png | 200px | left | link=Labs Landscape Evolution Modeling With Child Part 1]]
|valign=top| '''Landscape Evolution Modeling with CHILD, Part 1'''
<br>
Introduction to landscape evolution modeling with CHILD in WMT. Part 1 covers continuity of mass and discretization, and gravitational hillslope transport. Matlab is required to visualize the model output.
 
|-
|valign=top|[[File:ca2.png | 200px | left | link=Labs Landscape Evolution Modeling With Child Part 2]]
|valign=top| '''Landscape Evolution Modeling with CHILD, Part 2'''
<br>
<br>
Introduction to landscape evolution modeling with CHILD in WMT. Part 2 covers rainfall, runoff and drainage networks and hydraulic geometry. Matlab is required to visualize the model output.
|-
|valign=top|[[File:ca3.png | 200px | left | link=Labs Landscape Evolution Modeling With Child Part 3]]
|valign=top| '''Landscape Evolution Modeling with CHILD, Part 3'''
<br>
<br>
More landscape evolution modeling with CHILD in WMT.  Part 3 covers erosion and transport by running water, multiple grain sizes, and the Ten Commandments of Landscape Evolution Modeling. Matlab is required to visualize the model output.
|-
|valign=top|[[File:‎RioPuercoTopo2006.png| 200px | left | link=TeacherWS2015]]
|valign=top| '''River Dynamics and Vegetation labs for K6-12'''
Lectures show basics of river water and sediment transport, focused on a small river in the Arid West, the Rio Puerco. Associated hands-on labs look at the complex interactions of the biosphere and hydrosphere. [[TeacherWS2015|Materials are posted here ]].
|-
|valign=top|[[File:‎WealthDistr.png| 200px | left | link=https://www.openabm.org/models]]
|valign=top| '''Agent-Based Models for Earth Surface Processes'''
Want to learn more about human dimensions? Check out the 'Swidden Agricultural Model', the 'Commons model' and the Wealth Distribution models as examples of ABM  [https://www.openabm.org/models  COMSES models are found here].'
|-
|valign=top|[[File:‎ModelinUncertainty_ls.png| 200px | left | link=https://github.com/SCRFpublic/Modeling-uncertainty-in-the-Earth-Sciences]]
|valign=top| '''Modeling Uncertainty in Earth Sciences'''
A set of 5 labs on different aspects of model uncertainty: basic statistics,  decision making, variograms, and sensitivity testing.
This is material designed by Jef Caers and accompagnies his [[Modeling_Uncertainty_EarthSciences|textbook]].
|-
|valign=top|[[File:‎PhetGlacier.png| 200px | left | link=http://phet.colorado.edu/en/simulations/category/earth-science]]
|valign=top| '''Earth Science Models for K6-12'''
The PhET project at CU Boulder has built numerous interactive simulations to which CSDMS scientists contribute. These are for K6-12 classrooms! [http://phet.colorado.edu/en/simulations/category/earth-science PhET Earth Science simulations] are found here.




|}
More labs: [[Labs_portal1|Archived labs]]

Latest revision as of 14:08, 26 August 2020

Labs

Lab3sedsupply.png
Sediment Supply to the Global Ocean
Stand alone module

Investigate river sediment supply to the ocean by exploring the effects of climate changes on river fluxes. Also look at the effect of humans on rivers: the building of a reservoir.
     Jupyter logo.png
Duration:
2.0 hrs

Model used:
HydroTrend


GangesMap.png
Future Sediment Flux of the Ganges River
Stand alone module

Investigate river sediment supply of the monsoon-driven Ganges River. Explore the effects of future climate changes. Validate a model against observations and discuss uncertainty.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
HydroTrend


NewCEMcolormap.png
River-Delta Interactions
Stand alone module

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 avulsion on a coastline.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
CEM


Screen Shot 2020-04-03 at 3.13.23 PM.png
Exploring a shallow unconfined aquifer
Stand alone module

The notebook-based lab uses a simple numerical model to explore how hydraulic conductivity and recharge influence the depth of an unconfined aquifer and the shape of its water table.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
(self-contained)


1046px-MtBlackburn-KennicottGlacier.jpg
Exploring the growth and retreat of a valley glacier
Stand alone module

Visualize and experiment with the growth of a valley glacier using a simple 1D numerical model.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
(self-contained)


RiverDischargeTimeseries.png
River Discharge Data Analysis
Stand alone module

Learn about river stage and discharge, using gage height data downloaded from the USGS for the upper Colorado River. Use standard Python libraries to read, analyze, and visualize data.
     Jupyter logo.png
Duration:
3.0 hrs

Model used:
n/a


Meanderpyexample2.png
Meandering River Dynamics
Stand alone module

Meanderpy uses a simple linear relationship between the nominal migration rate and curvature, as recent work using time-lapse satellite imagery suggests that high curvatures result in high migration rates.
     Jupyter logo.png
Duration:
2.0 hrs

Model used:
Meanderpy


PyMT-logo-below-lowercase.png
CSDMS Workbench: Python Modeling Toolkit (pymt)
Stand alone module

The Python Modeling Toolkit (pymt) provides the tools needed for coupling models that expose a Basic Model Interface (BMI). This lab illustrates how to use pymt to run and couple models.
     Jupyter logo.png
Duration:
2.0 hrs

Model used:
CEM


Ku output.png
Permafrost Modeling with Ku Model
Stand alone module

This lab introduces how to use Ku model for permafrost modeling and how Ku can be used alongside landscape geomorphology models.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
Kudryavtsev Model


Soilgrids logo.png
SoilGrids Data Component
Stand alone module

A CSDMS data component used to download the soil property datasets from the SoilGrids system.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
SoilGrids Data Component


Mockup of Flood Frequency Curve.png
Flood Frequency Analyses with Python
Stand alone module

Analyze flood frequency of different rivers in North Carolina using basic extreme analysis and python. Students will get practice using pandas dataframes for importing, analyzing, and visualzing data.
     Jupyter logo.png
Duration:
2.0 hrs

Model used:
n/a


Tcm-1 b.jpg
Tilt Current Meter Analyses
Stand alone module

Analyze month long deployment of velocity data from tilt current meters deployed in inlet stream in Maine
     Jupyter logo.png
Duration:
2.0 hrs

Model used:
n/a


Screen Shot 2020-04-07 at 5.52.32 PM.png
Soil temperature profile
Stand alone module

Explore how temperature varies within a soil over the course of a day or year, as heat gets conducted upward and downward in the profile.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
(self-contained)


Screen Shot 2020-04-21 at 4.42.13 PM.png
Quantifying river channel evolution with Landlab
Stand alone module

This notebook illustrates the evolution of detachment-limited channels in an actively uplifting landscape.
     Jupyter logo.png
Duration:
2.0 hrs

Model used:
Landlab


Landlab logo picture.jpg
CSDMS Workbench: Landlab
Stand alone module

Landlab is an open-source Python-language package for numerical modeling of Earth surface dynamics. This lab illustrates how to use different Landlab components for modeling.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
Landlab


Bmi-logo-below-lowercase.png
CSDMS Workbench: Basic Model Interface (BMI)
Stand alone module

The Basic Model Interface (BMI) is a set of standard control and query functions that, when added to a model code, make that model both easier to learn and easier to couple with other software elements. This lab illustrates how to run a model through its BMI.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
Heat


Output 29 0.png
Alternative mesh generation for Landlab
Stand alone module

This lab uses the mesh generator dmsh and the mesh generator from the Anuga model to create unstructured grids that can be passed into Landlab.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
Landlab


Representing Picture.png
Exploring the effects of rainstorm sequences on a river hydrograph
Stand alone module

This notebook illustrates how storm sequences interact with watershed properties to control infiltration and runoff. It explores the relationships between rainfall intensity, water stage height, and infiltration through the integration of multiple Landlab components.
     Jupyter logo.png
Duration:
3.0 hrs

Model used:
Landlab


Crater.jpg
Cratered Landscapes
Stand alone module

Learn about the nature of impact craters and how we simulate their shape and distribution on a planetary surface. Then, investigate the results of different kinds of erosion on a cratered landscape, using Landlab.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
Landlab


BurnedAreaM.jpg
Including Wildfires in a Landscape Evolution Model
Stand alone module

Explore the effect of stochastic wildfires on riverine sediment flux. We use the SPACE model to simulate fluvial processes and introduce a stochastic wildfire model. Students can experiment by changing the rate of fires and other parameters.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
SPACE


Conceptual model slope-channels.jpg
Linking Landlab Components and Creating Sediment Pulses in NetworkSedimentTransporter
Stand alone module

1) Demonstrate a potential to couple NST with existing landlab models that generate sediment sources or other sediment input condition; 2) Run the NetworkSedimentTransporter with pulses of sediment to understand the impact of landscape disturbance on sediment yield
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
River Network Bed-Material Sediment


Lab.png
Simulating Shoreline Change using Coupled Coastsat and Coastline Evolution Model (CEM)
Stand alone module

Visualize the evolution of any sandy beach in the world through time. learn how to extract complex datasets, run a geomorphic model, and explore the impact of different wave climates on a beach you care about.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
CEM


Topography.png
Topography Data Component
Stand alone module

Learn how to download and access land elevation data from OpenTopography with the CSDMS Topography data component.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
Topography Data Component


Example-rgb.png
GeoTiff Data Component
Stand alone module

Learn how to access data and metadata from a GeoTIFF file through an API or a BMI with the CSDMS GeoTiff data component.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
GeoTiff Data Component


Overland flow.png
Data Component Use Case for Overland Flow Simulation
Stand alone module

A demonstration of how to use the Data Components and Landlab components for overland flow simulation.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
Landlab


Landslide.jpg
Data Component Use Case for Landslide Susceptibility Calculation
Stand alone module

A demonstration of how to use the Data Components to download topography and soil datasets to calculate the landslide susceptibility.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
Landlab


Permafrost.png
Data Component Use Case for Permafrost Thaw and Hillslope Diffusion
Stand alone module

A demonstration of how to use the Data Components, Landlab, and Pymt Model Components to simulate the permafrost active layer thickness and the hillslope diffusion process.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
Kudryavtsev Model


Wave power.png
Data Component Use Case for Wave Power Calculation
Stand alone module

A demonstration of how to use the Data Component to download wave properties datasets to calculate the wave power.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
WAVEWATCH III ^TM


Era5.png
ERA5 Data Component
Stand alone module

A CSDMS data component used to access the ECMWF Reanalysis v5 (ERA5) climate datasets.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
ERA5 Data Component


Nwis.png
NWIS Data Component
Stand alone module

A CSDMS data component used to access the USGS National Water Information System (NWIS) data.
     Jupyter logo.png
Duration:
1.0 hrs

Model used:
NWIS Data Component


Research
Module 1 of 2 of the series One.

Python, cuda
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
ExponentialWeatherer


Patternedground.png
Permafrost Modeling - where does permafrost occur?
Module 1 of 4 of the series Permafrost.

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.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
Frost Model


Permafrostlab icon.png
Permafrost Modeling - the Active Layer
Module 2 of 4 of the series Permafrost.

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.
     Jupyter logo.png
Duration:
1.5 hrs

Model used:
Kudryavtsev Model


Permfrostriver.jpg
Permafrost Modeling - making maps from gridded climate data
Module 3 of 4 of the series Permafrost.

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.
Duration:
2.0 hrs

Model used:
Frost Model


LakeAKpermafrost.jpg
Permafrost Modeling - looking at future permafrost with climate models
Module 4 of 4 of the series Permafrost.

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.
Duration:
1.5 hrs

Model used:
Frost Model




More labs: Archived labs