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M3: Open Science for Water Resources

What tools and datasets are available to quantify water quantity and availability?

The third module of our open climate-science curriculum focuses on how to begin a reproducible computational science project, using water resources as a thematic example. At the end of this module, you should be able to:

  • Describe the major fluxes and pools of the terrestrial water cycle;
  • Know where to access remotely sensed or modeled data on water storage anomalies, evapotranspiration, and soil moisture;
  • Calculate a water budget.

Contents

  1. Creating a Research Software Environment
  2. Analyzing a Global Precipitation Data Cube
  3. Tracking Changes to Research Code
  4. Creating a Basin-Scale Water Budget
  5. Documenting our Water Budget Workflow

Getting Started

See our installation guide here.

You can run the notebooks in this repository using Github Codespaces or as a VSCode Dev Container. Once your container is running, launch Jupyter Notebook by:

# Create your own password when prompted
jupyter server password

# Then, launch Jupyter Notebook; enter your password when prompted
jupyter notebook

The Python libraries required for the exercises can be installed using the pip package manager:

pip install xarray netcdf4 dask

Learning Outcomes

This course covers the following Core Competencies in Computational Data Science:

  • Chooses meaningful filenames (CC1.3)
  • Records relationships between code, results, and metadata (CC1.5)
  • Uses a package manager to install and manage software dependencies (CC1.10)
  • Understands multi-dimensional arrays (CC2.3)
  • Can scale up a computational workflow (CC2.6)
  • Chooses variable names that are clear and informative (CC3.8)
  • Understands software releases and versioning (CC4.4)
  • Uses assertions to verify assumptions as runtime (CC4.7)
  • Writes short, simple functions that have no side effects (CC4.9)

In addition, learners will see how to:

  • Merge multiple HDF files together into an xarray.Dataset
  • Subset an xarray.Dataset using an ERSI Shapefile

Climate Datasets Used

Acknowledgements

This curriculum was enabled by a grant from NASA's Transition to Open Science (TOPS) Training program (80NSSC23K0864), part of NASA's TOPS Program