Property:LabDescriptionShort
From CSDMS
This is a property of type Text.
L
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 +
A CSDMS data component used to access the USGS National Water Information System (NWIS) data. +
A CSDMS data component used to download the soil property datasets from the SoilGrids system. +
A CSDMS data component used to download the marine substrates datasets from the dbSEABED system. +
A demonstration of how to use the Data Component to download wave properties datasets to calculate the wave power. +
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. +
A demonstration of how to use the Data Components and Landlab components for overland flow simulation. +
A demonstration of how to use the Data Components to download topography and soil datasets to calculate the landslide susceptibility. +
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. +
Analyze month long deployment of velocity data from tilt current meters deployed in inlet stream in Maine +
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. +
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. +
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. +
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. +
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. +
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. +
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. +
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. +
