xclim 0.25.0 on Python PyPI

Announcements

Deprecation: Release 0.25.0 of xclim will be the last version to explicitly support Python3.6 and xarray<0.17.0.

land.winter_storm computes days with snow accumulation over threshold.
land.blowing_snow computes days with both snow accumulation over last days and high wind speeds.
land.snow_melt_we_max computes the maximum snow melt over n days, and land.melt_and_precip_max the maximum combined snow melt and precipitation.
snd_max_doy returns the day of the year where snow depth reaches its maximum value.
atmos.high_precip_low_temp returns days with freezing rain conditions (low temperature and precipitations).
land.snow_cover_duration computes the number of days snow depth exceeds some minimal threshold.
land.continuous_snow_cover_start and land.continuous_snow_cover_end identify the day of the year when snow depth crosses a threshold for a given period of time.
days_with_snow, counts days with snow between low and high thresholds, e.g. days with high amount of snow (indice and indicator available).
fire_season, creates a fire season mask from temperature and, optionally, snow depth time-series.

generic.count_domain counts values within low and high thresholds.
run_length.season returns a dataset storing the start, end and length of a season.
Fire Weather indices now support dask-backed data.
Objects from the xclim.sdba submodule can be created from their string repr or from the dataset they created.
Fire Weather Index submodule replicates the R code of cffdrs, including fire season determination and overwintering of the drought_code.
New run_bounds and keep_longest_run utilities in xclim.indices.run_length.
New bias-adjustment method: PrincipalComponent (based on Hnilica et al. 2017 https://doi.org/10.1002/joc.4890).