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Derived climate variables built with xarray.

Project description

History

0.15.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.

0.14.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 multidimensionnal 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.

0.13.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.

0.12.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.

0.11.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.

0.10.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.

0.10-beta (2019-06-06)

  • 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.

0.9-beta (2019-05-13)

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.

0.8-beta (2019-02-11)

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

0.7-beta (2019-02-05)

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.

0.6-alpha (2018-10-03)

  • File attributes checks.
  • Added daily downsampler function.
  • Better documentation on ICCLIM indices.

0.5-alpha (2018-09-26)

  • Added total precipitation indicator.

0.4-alpha (2018-09-14)

  • Fully PEP8 compliant and available under MIT License.

0.3-alpha (2018-09-4)

  • Added icclim module.
  • Reworked documentation, docs theme.

0.2-alpha (2018-08-27)

  • Added first indices.

0.1.0-dev (2018-08-23)

  • First release on PyPI.

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