⚠️ 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.

• A Handbook on level-2 SSH products
• How to contribute

1. Remove cross-swath bias in 2km-resolution ssha_Karin_2. The following is an example output.

   

2. Sea ice and iceberg in sig0 at 250m resolution.

   

3. Identify the pass number and timing of the science orbit over a region.

   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.

   

4. Plot the unsmoothed SSH (250m posting) near coast

   

• Consider visiting the NASA PO.DAAC Cookbook: SWOT Chapter 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.