Releases: Ouranosinc/raven
Releases · Ouranosinc/raven
v0.14.0
- Update to RavenPy 0.7.2
- Use new OWSlib WFS topological filters
- More informative install documentation
- Upgrade to PyWPS 4.4.5
v0.13.0
- Update RavenPy to 0.5.1
- Remove the
name
(watershed name) from the WPS interface for Raven processes - Add
random_numbers
WPS param to pass optionalOstRandomNumbers.txt
file to Ostrich processes - Add error handlers for regionalisation and climatology processes
v0.12.1
v0.12.0
- Update RavenPy to 0.4.2
- Migrate utilities to RavenPy
- Add notebook for advanced forecasting
- Add notebook for probabilistic flood assessment
- Option to skip slow tests
- Add climpred verification WPS service
- Pre-commit hooks
- Install from conda Raven and Ostrich libraries
- Support passing HRUs
- Use scale/offset instead of linear_transform
- Enable GitHub CI
- Fix broken notebooks
- Improve error reporting by including stack trace in error messages.
v0.11.1
v0.11.0
- Add processes to run hydrological simulations on ECCC GEPS forecasts/hindcasts
- Add process to create forecast graphic
- Add first basic data assimilation utilities
- Factor out extra project RavenPy (at version 0.2.2), using Raven 3.0.1
- Upgrade to xclim 0.23.0
- Upgrade to xarray 0.16.2
- Add configuration options:
deaccumulate
- Clean notebooks
Oxford
- Added support for ERA5 (hourly), NRCan and CANOPEX datasets
- Support linear transforms (unit changes)
- Calibration now uses :SuppressOutput by default
- Added options for rain_snow_fraction, evaporation and ow_evaporation
- Updated Raven version to 2.95
- Support passing shapes as zip files
v0.9.0
v0.8.3-beta
Re-tagging to build docker image.
v0.8.3
0.8 Series
- Added more documentation for users
- Fixed reprojection errors in GIS utilities
- Specified HydroBASINS in lieu of HydroSHEDS in processes
- Optimized memory usage in ReadTheDocs builds when using Sphinx autodoc by employing mock
- Cleaner GeoJSON outputs for many subsetting processes
- Employed ipyleaflets for notebook-based web-maps
- Run py.test on notebooks from local or remote server