cryoswath

cryoswath is a python package containing processing pipelines, a tool library, and some pre-assembled data to retrieve and study CryoSat-2 data.

Adaptability lies at its core. The user can access many options simply by passing arguments to functions; everything else can be customized changing the concerned function or adding a new one.

🌱 state

Currently, it is in the beta phase. main contains those parts that I believe to work if used as intended and that are tested to some extent. Other branches are for development.

✨ features

• find all CryoSat-2 tracks passing over your region of interest
• download L1b data from ESA
• retrieve swath elevation estimates
• aggregate point data to gridded data
• fill data gaps using tested methods
• calculate change rates

🚀 getting started

To use cryoswath, pull this repo and download ArcticDEM and the RGI glacier and complex shape files into the data/auxiliary/DEM and -RGI directories. Then, either use the provided docker container or set up an environment and install the software dependencies.

with Docker 🐳

1. docker run --detach --interactive --volume <base dir>:/altimetry_project cryoswath/cryoswath:nightly
2. connect with your favorite IDE or docker exec --interactive <container hash> sh

with conda 🐍

1. conda create --name env_name --file <base dir>/docker/conda_requirements.txt
2. conda activate env_name

📖 documentation

j-haacker.github.io/cryoswath

dependencies

• requirements.txt
• reference elevation model
• glacier outlines

cryoswath will point you to the required resources.

🐛 known issues

• projected RGI basins sometimes "invalid" -> add .make_valid() if it is missing somewhere

• it has mostly been tested for the Arctic

  Further: see open issues.

citation and attribution

You can cite this package using bibtex:

@misc{cryoswath,
  author = {J. Haacker},
  title = {cryoswath: CryoSat-2 swath processing package},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/j-haacker/cryoswath}}
}

Please mind that you likely used other resources on the way.

• ESA provides the L1b data under these Terms and Conditions
• RGI data is distributed under CC-BY-4.0 license
• if you (likely) used DEMs of the PGC, see their Acknowledgement Policy
• the many python packages and libraries this package depends on; some of which are indispensable.

📜 license

MIT. See LICENSE.txt.