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From CSDMS
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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. +
Learn how to access data and metadata from a GeoTIFF file through an API or a BMI with the CSDMS GeoTiff data component. +
Learn how to download and access land elevation data from OpenTopography with the CSDMS Topography data component. +
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. +
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. +
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. +
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. +
This lab introduces how to use Ku model for permafrost modeling and how Ku can be used alongside landscape geomorphology models. +
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. +
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. +
This notebook illustrates the evolution of detachment-limited channels in an actively uplifting landscape. +
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. +
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. +
Visualize and experiment with the growth of a valley glacier using a simple 1D numerical model. +
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. +
