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Coastal Emergency Risks Assessment (CERA)

cera.coastalrisk.live


Welcome to the CERA Storm Analysis Tutorials

Overview

This repository is maintained by the LSU CERA-Group, a team of scientists, researchers, and developers dedicated to studying the potential impacts of storm surge and inland flooding caused by landfalling tropical cyclones. We focus on providing accurate and timely information to decision-makers and first responders to support their preparedness efforts and ultimately save lives and properties.

Objective

Our objective is to simulate and visualize storm surge using advanced computer models like ADCIRC and the cutting-edge CERA visualization technology. Through this tutorial series we are opening our knowledge to the research community for the post-processing and visualization of storm surge data.



Tutorials

All tutorials require Python 3.15.2 and the shared packages in requirements.txt (python3 -m pip install -r requirements.txt). Each tutorial folder has its own README with input data and output details.

# Tutorial Description
1 Adding Map Features with Cartopy Geospatial data visualization with Cartopy: projections, map features, and station overlays.
2 Analyzing NetCDF Files Inspect ADCIRC NetCDF files: structure, metadata, dimensions, and data values.
3 Creating Map Contours with Matplotlib Create contour maps from ADCIRC NetCDF data with Matplotlib.
4 Visualizing a Single NHC Track with Matplotlib Render a single ATCF best-track file as a publication-style map.
5 Visualizing Multiple NHC Tracks with Matplotlib Plot the Atlantic best-track catalog as regional overview maps.
6 Calculating River Flow Fit a stage-discharge curve and fetch historical RiverGages data.

License

Code and documentation are released under the MIT License. See LICENSE.

Third-party data retain their original terms. See ATTRIBUTION.md.

Authors

See AUTHORS.md.


Contact Us

If you have any questions, suggestions, or would like to get in touch with our team, please feel free to reach out to us. Together, we can make a significant impact in enhancing our preparedness and resilience to storm-related challenges.

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CENTER FOR COMPUTATION AND TECHNOLOGY, LOUISIANA STATE UNIVERSITY

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