Xclim

--------------------
* Added support for operations on dimensionless variables (`units = '1'`).
* Moved `xclim.locales` to `xclim.core.locales` in a batch of internal changes aimed to removed most potential cyclic imports cases.
* Missing checks and input validation refactored with addition of custom missing class registration (`xclim.core.checks.register_missing_method`) and simple validation method decorator (`xclim.core.checks.check`).
* New `xclim.set_options` context to control the missing checks, input validation and locales.
* New `xclim.sdba` module for statistical downscaling and bias-adjustment of climate data.
* Added `convert_calendar` and `interp_calendar` to help in the conversion between calendars.
* Added `at_least_n_valid` function, identifying null calculations based on minimum threshold.
* Added support for `freq=None` in missing calculations.
* Fixed outdated code examples in the docs and docstrings.
* Doctests are now run as part of the test suite.

--------------------
* Added `vectorize` flag to `subset_shape` and `create_mask_vectorize` function based on `shapely.vectorize` as default backend for mask creation.
* Removed `start_yr` and `end_yr` flags from subsetting functions.
* Add multi gridpoints support in `subset.subset_gridpoint`.
* Better `wrapped_partial` for more meaningful inspection.
* Add indices for relative humidity, specific humidity and saturation vapor pressure with a few choices of method.
* Allow lazy units conversion.
* CRS definitions of projected DataSets are now written to file according to Climate and Forecast-convention standards.
* Add utilities to merge attributes and update history in xclim.core.formatting.
* Ensembles : Allow alignment of datasets with same frequency but different offsets.
* Bug fixes in run_length for run-with-dates methods when the date is not found in the run.
* Remove deepcopy from subset.subset_shape to improve memory usage.
* Add `missing_wmo` function, identifying null calculations based on criteria from WMO.
* Add `missing_pct` function, identifying null calculations based on percentage of missing values.

v0.15.x (2020-03-12)
--------------------
* Improvement in FWI: Vectorization of DC, DMC and FFMC with numba and small code refactoring for better maintainability.
* Added example notebook for creating a catalog of selected indices
* Added `growing_season_end`, `last_spring_frost`, `dry_days`, `hot_spell_frequency`, `hot_spell_max_length`, and `maximum_consecutive_frost_free_days` indices.
* Dropped use of `fiona.crs` class in lieu of the newer pyproj CRS handler for `subset_shape` operations.
* Complete internal reorganization of xclim.
* Internationalization of xclim : add `locales` submodule for localized metadata.
* Add feature to retrieve coordinate values instead of index in `run_length.first_run`. Add `run_length.last_run`.
* Fix bug in subset_gridpoint to work on lat/lon coords of any dimension when they are not a dimension of the data.

v0.14.x (2020-02-21)
--------------------
* Refactoring of the documentation.
* Added support for pint 0.10
* Add `atmos.heat_wave_total_length` (fixing a namespace issue)
* Fixes in `utils.percentile_doy` and `indices.winter_rain_ratio` for multidimensional datasets.
* Rewrote the `subset.subset_shape` function to allow for dask.delayed (lazy) computation.
* Added utility functions to compute `time_bnds` when resampling data encoded with `CFTimeIndex` (non-standard calendars).
* Fix in `subset.subset_gridpoint` for dask array coordinates.
* Modified `subset_shape` to support subsetting with GeoPandas datatypes directly.
* Fix in `subset.wrap_lons_and_split_at_greenwich` to preserve multi-region dataframes.
* Improve the memory use of `indices.growing_season_length`.
* Better handling of data with atypically named `lat` and `lon` dimensions.
* Added six Fire Weather indices.

v0.13.x (2020-01-10)
--------------------
* Documentation improvements: list of indicators, RTD theme, notebook example.
* Added `sea_ice_extent` and `sea_ice_area` indicators.
* Reverted 311, removing the `_rolling` util function. Added optimal keywords to `rolling()` calls.
* Fixed `ensembles.create_ensemble` errors for builds against xarray master branch.
* Reformatted code to make better use of Python3.6 conventions (f-strings and object signatures).
* Fixed randomly failing tests of `checks.missing_any`.
* Improvement of `ensemble.ensemble_percentile` and `ensemble.create_ensemble`.

v0.12.x-beta (2019-11-18)
-------------------------
* Added a distance function computing the geodesic distance to a point.
* Added a `tolerance` argument to `subset_gridpoint` raising an error if distance to closest point is larger than tolerance.
* Created land module for standardized access to streamflow indices.
* Enhancement to utils.Indicator to have more dynamic attributes using callables.
* Added indices `heat_wave_total_length` and `tas` / `tg` to average tasmin and tasmax into tas.
* Fixed a bug with typed call signatures that caused downstream failures on library import.
* Added a `_rolling` util function to fix memory issues on large dask datasets.
* Added the `subset_shape` function to subset utilities for clipping region-masked datasets via polygons.
* Fixed a bug where certain dependencies caused ReadTheDocs builds to fail.
* Added many statically typed function signatures for better function documentation.
* Improved `DeprecationWarnings` and `UserWarnings` ensemble for xclim subsetting functions.
* Dropped support for Python3.5.

v0.11.x-beta (2019-10-17)
-------------------------
* Added type hinting to call signatures of many functions for more explicit type-checking.
* Added Kmeans clustering ensemble reduction algorithms.
* Added utilities for converting between wind velocity (sfcWind) and wind components (uas, vas) arrays.
* Added type hinting to call signatures of many functions for more explicit type-checking.
* Now supporting explicit builds for Windows OS via Travis CI.
* Fix failing test with Python 3.7.
* Fixed bug in subset.subset_bbox that could add unwanted coordinates/dims to some variables when applied to an entire dataset.
* Reformatted packaging configuration to pure Py3 wheel that ignore tests and test data.
* Now officially supporting Python3.8!
* Enhancement to precip_accumulation() to allow estimated amounts solid (or liquid) phase precipitation.
* Bugfix for frequency analysis choking on time series with NaNs only.

v0.10.x-beta (2019-06-18)
-------------------------
* Added indices to ICCLIM module.
* Added indices `days_over_precip_thresh` and `fraction_over_precip_thresh`.
* Migrated to a `major.minor.patch-release` semantic versioning system.
* Removed attributes in netCDF output from Indicators that are not in the CF-convention.
* Added `fit` indicator to fit the parameters of a distribution to a series.
* Added utilities with ensemble, run length, and subset algorithms to the documentation.
* Source code development standards now implement Python Black formatting.
* Pre-commit is now used to launch code formatting inspections for local development.
* Documentation now includes more detailed usage and an example workflow notebook.
* Development build configurations are now available via both Anaconda and pip install methods.
* Modified create_ensembles() to allow creation of ensemble dataset without a time dimension as well as from xr.Datasets.
* Modified create ensembles() to pad input data with nans when time dimensions are unequal.
* Updated subset_gridpoint() and subset_bbox() to use .sel method if 'lon' and 'lat' dims are present.
* *Added Azure Pipelines to automatically build xclim in Microsoft Windows environments.* -- **REMOVED**
* Now employing PEP8 + Black compatible autoformatting.
* Added Windows and macOS images to Travis CI build ensemble.
* Added variable thresholds for tasmax and tasmin in daily_freezethaw_events.
* Updated subset.py to use date formatted strings ("%Y", "%Y%m" etc.) in temporal subsetting.
* Clean-up of day-of-year resampling. Precipitation percentile threshold will work without a doy index.
* Addressed deprecations for xarray 0.13.0.
* Added a decorator function that verifies validity and reformats subset calls using start_date or end_date signatures.
* Fixed a bug where 'lon' or 'lon_bounds' would return false values if either signatures were set to 0.

-----------------------
* Dropped support for Python 2.
* Added support for *period of the year* subsetting in ``checks.missing_any``.
* Now allow for passing positive longitude values when subsetting data with negative longitudes.
* Improved runlength calculations for small grid size arrays via ``ufunc_1dim`` flag.

----------------------
This is a significant jump in the release. Many modifications have been made and will be added to the documentation in the coming days. Among the many changes:

* New indices have been added with documentation and call examples.
* Run_length based operations have been optimized.
* Support for CF non-standard calendars.
* Automated/improved unit conversion and management via pint library.
* Added ensemble utilities for creation and analysis of muti-model climate ensembles.
* Added subsetting utilities for spatio-temporal subsets of xarray data objects.
* Added streamflow indicators.
* Refactoring of the code : separation of indices.py into a directory with sub-files (simple, threshold and multivariate); ensembles and subset utilities separated into distinct modules (pulled from utils.py).
* Indicators are now split into packages named by realms. import xclim.atmos to load indicators related to atmospheric variables.

----------------------
*This was a staging release and is functionally identical to 0.7-beta*.

---------------------
Major Changes:

* Support for resampling of data structured using non-standard CF-Time calendars.
* Added several ICCLIM and other indicators.
* Dropped support for Python 3.4.
* Now under Apache v2.0 license.
* Stable PyPI-based dependencies.
* Dask optimizations for better memory management.
* Introduced class-based indicator calculations with data integrity verification and CF-Compliant-like metadata writing functionality.

Class-based indicators are new methods that allow index calculation with error-checking and provide on-the-fly metadata checks for CF-Compliant (and CF-compliant-like) data that are passed to them. When written to NetCDF, outputs of these indicators will append appropriate metadata based on the indicator, threshold values, moving window length, and time period / resampling frequency examined.