Become familiar with a basic configuration of the CEM model +, Gain hands-on experience with visualizing output in Python +, Make small changes to key input parameters in CEM +, …
Become familiar with a basic configuration of the HydroTrend model +, Gain hands-on experience with visualizing output in Python +, Make small changes to key input parameters in HydroTrend +, …
Become familiar with a basic configuration of the HydroTrend model` +, Gain hands-on experience with visualizing output in Python +, Make small changes to key input parameters in HydroTrend +, …
Create functions to generate crater topography +, Interact with and change input parameters that describe impact cratering +, Use LandLab model grids +, …
Familiarize with a basic configuration of the Air Frost Number Model +, Hands-on experience with visualizing output in Python +, Make small changes to key input parameters +, …
Import external gridded topography and create NetworkModelGrid (NMG) +, Learn to create arrays using different random number generators +, Learn to execute NST forward in time and make plots to understand simulation outputs +, …
Learn how to use "permamodel" Python module to run Ku model +, Learn how to use Ku model output and Landlab component to run depth-dependent diffusion model +, Learn to load, rescale, and visualize DEM data in Python. +
Learn how to use Landlab to construct a simple two-dimensional numerical model on a regular (raster) grid. +, Learn to use deAlmeida Overland Flow Landlab component to create a flood sequence. +
Learn to get the SoilGrids map service information. +, Learn to use Basic Model Interface to access SoilGrids data and metadata. +, Learn to use an application programming interface (API) to access SoilGrids data. +
Learn to use Basic Model Interface to access dbSEABED data and metadata. +, Learn to use an application programming interface (API) to access dbSEABED data. +
Use a Basic Model Interface (BMI) +, Use a command-line interface (CLI) for a Python library +, Use an application programming interface (API) for a Python library +
Use the Air Frost Number Model on Pan-Arctic maps +, Use the output of global coupled atmosphere-ocean models (CMIP5) to drive a permafrost model +, hands-on experience with visualizing NetCDF output with Panoply. +
data to model comparisons and how to think about uncertainty in data and model output. +, familiarize with a basic configuration of the Air Frost number Model for a gridded region. +, hands-on experience with visualizing NetCDF time series with Panoply. +
data to model comparisons and how to think about uncertainty in data and model output. +, familiarize with a basic configuration of the Kudryavstev Model for 1D (a single location). +, hands-on experience with visualizing NetCDF time series with Panoply. +
implement basic calculations of river hydraulics and morphological relationships on command line +, learn how to save a plot in python, and make a movie from a model simulation +