Model Training Notebooks¶
MSD projects use cloud-computing capabilities in MSD-LIVE to create interactive Jupyter notebooks that train users to configure, run, and analyze MSD models.
These interactive model training notebooks provide hands-on learning experiences, allowing users to explore model configurations, run simulations, and analyze results in a cloud-based environment.
Available Model Training Resources¶
demeter¶
demeter is an open-source land use and land cover change disaggregation model.
gcam¶
A demonstration on how to conduct scenario adjustments and user modifications in GCAM, including scenario design and methods for creating and editing scenarios.
gcamwrapper¶
gcamwrapper contains C++, R, and Python source code that wraps GCAM so simulations can be run interactively.
hector¶
hector is a simple climate model that can be embedded with GCAM.
matilda¶
matilda is a probabilistic framework for the hector simple climate model.
rgcam¶
rgcam is an open-source package used to interact with GCAM outputs (rgram, rchart, and rmap).
statemodify¶
statemodify is an open-source Python package for modifying StateMod input and output files to enable exploratory modeling.
stitches¶
stitches is a computationally efficient emulator that preserves temporal and spatial resolution and joint coherence of multiple climate model output variables.
tethys¶
tethys facilitates coupling between large-scale and fine-resolution models by downscaling region-scale water demand onto a grid.
xanthos¶
xanthos is an open-source hydrologic model written in Python that simulates historical and future global water availability on a monthly time step.