Openamundsen

- Catch nan values in albedo refresh calculation (a5d41210baf64615df3265660bbe3f13d6bdd28e)

- Fix compatibility issues with rasterio 1.4.0

- Fix snow coverage determination in cryo layer sublimation calculation (3ab441ef3d9527ef53a98c8ea911013fd244d78b)

- Add basic filters to mask implausible meteo values (606d5722961ff9fcedaccb7896eb0bc19c88cfc8)
- Add support for interpolating wind gusts (3c8dac8932e6e76a0db2a2ef1012ab87b8fcd7a8)
- Set `snow_cover_fraction_depth_scale` to 0 by default (1cac4e2c56c35816c4198107648259c82fb2deaa)
- Improve logging (96)
- Fix bug in cryo layer liquid water refreezing (792cfab9e748fbc38fd87ab7d9887a14d276f88d)
- Fix issue with station data aggregation (42039d6ebcc08a1e6d50c306cd214aad5585eeb1)
- Several fixes for changes introduced in in recent numpy/pandas/xarray releases

- Allow compression of gridded output (95)
- Fix bug in evapotranspiration calculation for water bodies (ddd33221f0fbe872cbf5c67f10480a7d7cd07227)
- Use QtAgg matplotlib backend for the live view window instead of Qt5Agg, so that an appropriate Qt binding (PyQt6/PySide6/PyQt5/PySide2) is automatically selected

- Replace the polynomial fit in `cloud_fraction_from_cloud_factor()` by the analytical inverse of the function in `cloud_factor_from_cloud_fraction()` (0170d6a84569b38c94ea852bca778c79c426ea86)
- Fix for cloudiness method `prescribed`: the prescribed values should be the cloud area fraction (corresponding to the `cloud_fraction` model variable), not the "cloud factor" (ratio of actual to potential radiation) (50e908d09d42ce80a93793f18f25cd8a30a51fcb)
- Consequently, the meteo input variable `cloud_cover` has been renamed to `cloud_fraction` for consistency (however, values are expected to be in percent there, in contrast to the model variable `cloud_fraction` which has fractional values (0-1) (1325f5e3cb701a3a89b92a49bd964156b0d54bfa)