Riverscapes/riverscapes-tools

AI Summary: Investigate why the Confinement tool in the Riverscapes project is taking an excessively long time to process certain HUC10s (Hydrologic Unit Codes) in the 2025 CONUS model runs. The task involves analyzing provided log files and a list of affected HUC10s to identify the root cause of the performance issue. This likely requires familiarity with the Riverscapes tools, Python, and potentially GIS concepts. Debugging may involve examining the codebase, particularly the `./packages/brat` (assuming Confinement is part of BRAT) package, and potentially testing with smaller datasets.

AI Summary: The task involves simplifying a large polygon dataset (national HUC10 boundaries) using geopandas' `simplify_coverage()` function to reduce its size while preserving topological integrity. This requires setting up the correct Python environment (including specific versions of geopandas and shapely), downloading the input data from an S3 bucket, running the provided Python script, and saving the simplified output. The optimal simplification tolerance needs to be determined (between 5000 and 10000 meters).