https://github.com/SWOT-community/SWOT-OpenToolkit

Community codes for processing SWOT data. This is a community code repo, does not include the algorithms that belong to the project.
https://github.com/SWOT-community/SWOT-OpenToolkit

community-driven

Last synced: about 1 month ago
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Community codes for processing SWOT data. This is a community code repo, does not include the algorithms that belong to the project.

• Host: GitHub
• URL: https://github.com/SWOT-community/SWOT-OpenToolkit
• Owner: SWOT-community
• License: apache-2.0
• Created: 2023-08-22T03:32:37.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-31T22:32:12.000Z (4 months ago)
• Last Synced: 2024-08-08T02:43:40.421Z (about 1 month ago)
• Topics: community-driven
• Language: Python
• Homepage:
• Size: 12.4 MB
• Stars: 38
• Watchers: 7
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• open-sustainable-technology - SWOT-OpenToolkit - Community codes for processing SWOT data, to provide valuable data and information about the world's oceans and its terrestrial surface water such as lakes, rivers, and wetlands. (Hydrosphere / Freshwater and Hydrology)

README

        
# SWOT-OpenToolkit

⚠️ An open repository of community-contributed codes for processing SWOT data. Official project algorithms are not included.

The current code focuses on dealing with the KaRIn during the fast-repeat phase. The following image is used to quick search the pass numbers that are relavent to regional interests. 

![Passes over the calval period](media/calval_passes_locations.png)

## Get started 

 - [A Handbook on level-2 SSH products](docs/chap0_get_started.md)

 - [How to contribute](contrib/CONTRIBUTING.md)

---

## Quick Examples 

1. [Remove cross-swath bias in 2km-resolution ssha_Karin_2](examples/remove_crossswath_bias.ipynb). The following is an example output. 

    

1. [Sea ice and iceberg in sig0 at 250m resolution](examples/unsmoothed_sea_ice_250m.ipynb).

   

   

1. [Identify the pass number and timing of the science orbit over a region](src/find_swot_passes_science.py).

     Run the program as follows:

   ```

      python find_swot_passes_science.py -sw_corner -130.0 35.0 -ne_corner -125.0 40.0 -output_filename /tmp/test.png

   ```

      You will get something like the following figure. It contains the pass number, the satellite passing time (UTC) and the associated visualization. 

   

1. [Plot the unsmoothed SSH (250m posting) near coast](https://github.com/SWOT-community/SWOT-OpenToolkit/blob/main/examples/unsmoothed_coastal.ipynb) 

   

## Additional Resources:

- **Consider visiting the NASA [PO.DAAC Cookbook: SWOT Chapter](https://podaac.github.io/tutorials/quarto_text/SWOT.html) for more data resources and tutorials related to both the hydrology and oceanography SWOT communities.**

- **Product description documents for every SWOT collection in the table [here](https://podaac.jpl.nasa.gov/SWOT?tab=datasets-information).**