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 # Changelog
 
+## v0.3.1 (2024-11-15)
+
+### New features
+
+- Add new "all" option to `model` param in `model_tides`, `pixel_tides` etc, which will model tides using all available tide models in your provided `directory`.
+
+### Bug fixes
+
+- Fix bug where GOT5.6 was not detected as a valid model because it contains files in multiple directories (e.g. both "GOT5.6" and "GOT5.5"). This also affected clipping GOT5.6 data using the `eo_tides.utils.clip_models` function.
+
+## v0.3.0 (2024-11-11)
+
+### New features
+
+- Added new `eo_tides.utils.clip_models` function for clipping tide models to a smaller spatial extent. This can have a major positive impact on performance, sometimes producing more than a 10 x speedup. This function identifies all NetCDF-format tide models in a given input directory, including "ATLAS-netcdf" (e.g. `TPXO9-atlas-nc`), "FES-netcdf" (e.g. `FES2022`, `EOT20`), and "GOT-netcdf" (e.g. `GOT5.5`) format files. Files for each model are then clipped to the extent of the provided bounding box, handling model-specific file structures. After each model is clipped, the result is exported to the output directory and verified with `pyTMD` to ensure the clipped data is suitable for tide modelling.
+
+![image](https://github.com/user-attachments/assets/7b9ffab7-2614-4d04-9799-e56500ab810c)
+
+### Major changes
+
+- The `parallel_splits` parameter that controls the number of chunks data is broken into for parallel analysis has been refactored to use a new default of "auto". This now attempts to automatically determine a sensible value based on available CPU, number of points, and number of models being run. All CPUs will be used where possible, unless this will produce splits with less than 1000 points in each (which would increase overhead). Parallel splits will be reduced if multiple models are requested, as these are run in parallel too and will compete for the same resources.
+- Changed the default interpolation `method` from "spline" to "linear". This appears to produce the same results, but works considerably faster.
+- Updates to enable correct cropping, recently resolved in PyTMD 2.1.8
+
+### Breaking changes
+
+- The `list_models` function has been relocated to `eo_tides.utils` (from `eo_tides.model`)
+
 ## v0.2.0 (2024-10-30)
 
 ### New features