* Add xarray dependency

* MCH importer returns an xarray Dataset

* Remove plot lines

* Remove import

* Adapt readers to xarray format

* Rewrite as more general decorator

* Add missing metadata

* Adapt io tests

* Mrms bounding box (pySTEPS#222)

* Fix bounding box coordinates

* Add missing metadata

* Import xarray DataArray

Ignore quality field

* Black

* Do not hardcode metadata

* Address review comments by ruben

* Add a legacy option to the io functions

A "legacy" options is added to revert back the importers and readers behavior to version 1. This is a temporary solution to allow the examples, and other functions, to run as usual (v1.*).

Hopefully, this is will allow a easier transition into version 2 during the development process and will allow testing functions that were not updated to v2.

* Fix compatibility problems with tests

Many of the tests were updated to use the legacy data structures (v1). The tests that still contains issues, were tagged with a TODO message and they are skipped.

This will allow incremental changes to be tested in the new v2.

IMPORTANT: once the v2 branch is stable, we may remove the legacy compatibility from the code base and the tests.

* Update dependencies

* Ignore plugins test

Co-authored-by: Andres Perez Hortal <16256571+aperezhortal@users.noreply.github.com>

…s_blending

…PS2006 method

… method

…nt (in progress..)

…on of skill values to climatological values for weights determination

…e now

* Add import_bom_rf3  using xarray

* Add tests to xarray version

* Fix mrms importer tests

* Pass **kwargs to internal functions

* Add nwp_importers to read bom nwp sample data

* Add bom nwp data to source file

* Add tests for bom_nwp reader

* Fix pystepsrc

Co-authored-by: Andres Perez Hortal <16256571+aperezhortal@users.noreply.github.com>

* Implement the functions get_default_weights, save_weights, calc_clim_weights. 

These functions are used to evolve the weights in the scale- and skill-dependent blending with NWP in the STEPS blending algorithm. The current weights, based on the correlations per cascade level, are regressed towards these climatological weights in the course of the forecast.

These functions save the current and compute the climatological weights (a running mean of the weights of the past n days, where typically n=30). First daily averages are stored and these are then averaged over the running window of n days.

* Add tests for pysteps climatological weight io and calculations.

* Add path_workdir to outputs section in pystepsrc file and use it as a default path to store/retrieve blending weights.

* Minor changes to docstrings, changes to skill scores and testing scripts

* Completed documentation for blending clim module, cleanup.

Co-authored-by: RubenImhoff <r.o.imhoff@live.nl>

…ending (pySTEPS#232)

* First version of NWP decomposition

* Added saving to netCDF

* Completed functions for saving and loading decomposed NWP data

* Added example files for the decomposed NWP functions

* Added compatibility with numpy datetime

* Use default output path_workdir for tmp files in blending/utils.py.

* Update documentation of NWP decomposition functions in utils.py

Co-authored-by: Wout Dewettinck <wout.dewettinck@ugent.be>
Co-authored-by: wdewettin <87696913+wdewettin@users.noreply.github.com>

Add importer for netcdf NWP data from RMI using xarrays.

* Add test for RMI NWP data importer.

* Add entry for RMI NWP data in pystepsrc.

* Run black on everything: fix formatting.

… velocity field over time in the NWP forecast will be taken into account now.

Add forgotten @postprocess_import()
Don't call dropna on NWP data.

…l data from here on

Merge steps_blending into local branch

* Added Lesley's reprojection module to this branch

* Added compatibility for three-dimensional xarrays

* Add commentary to reprojection util

* Changes to make reprojection of KNMI data possible

* Changes after Daniele's review

* Add dependencies

* Changes to importers, see issue pySTEPS#215

* Add tests

* Fix some issues

* documentation

* Fixes for tests

* Set requirements again

* Some fixes

* Changes to nwp_importers after Carlos' response

* Remove wrong example script

* Remove rasterio dependencies from lists

* First try to prevent testing error

* Changes Daniele and fix knmi nwp importer

* Add rasterio to tox.ini

* Aesthetics

* rasterio import test

* Add rasterio to the test dependencies

* Reset try-except functionality for rasterio import

* Fix for failing test on windows python 3.6

* add importerskip rasterio

Co-authored-by: Wout Dewettinck <wout.dewettinck@ugent.be>

Merge Pysteps v2 in branch

This reverts commit 2c639f8, reversing
changes made to bccb8fc.

* Update docstrings

* More cleanup

* Cleanup imports

* Cleanup imports

* More cleanup

* Update docstrings

* Update references

Mention the work of Ravuri et al (2021, Nature) as an example of work using cGANs to generate ensembles

* Clean up page

* Reprojection functionality (pySTEPS#236)

* Added Lesley's reprojection module to this branch

* Added compatibility for three-dimensional xarrays

* Add commentary to reprojection util

* Changes to make reprojection of KNMI data possible

* Changes after Daniele's review

* Add dependencies

* Changes to importers, see issue pySTEPS#215

* Add tests

* Fix some issues

* documentation

* Fixes for tests

* Set requirements again

* Some fixes

* Changes to nwp_importers after Carlos' response

* Remove wrong example script

* Remove rasterio dependencies from lists

* First try to prevent testing error

* Changes Daniele and fix knmi nwp importer

* Add rasterio to tox.ini

* Aesthetics

* rasterio import test

* Add rasterio to the test dependencies

* Reset try-except functionality for rasterio import

* Fix for failing test on windows python 3.6

* add importerskip rasterio

Co-authored-by: Wout Dewettinck <wout.dewettinck@ugent.be>

* Revert "Merge branch 'steps_blending' into pysteps-v2" (pySTEPS#239)

This reverts commit 2c639f8, reversing
changes made to bccb8fc.

Co-authored-by: ned <daniele.nerini@meteoswiss.ch>
Co-authored-by: dnerini <daniele.nerini@gmail.com>
Co-authored-by: Wout Dewettinck <wout.dewettinck@ugent.be>

- Improve grammar.
- Make the guide more concise. Remove unused/unnecessary rules.
- Indicate more clearly which parts of the guidelines are inspired by other projects (before they were only mentioned at the end).
- Change "Travis-CI" references by "GitHub Actions".

* Implemented linear blending function
* Added example file and test
* Added compatibility for NWP ensembles

The PR is ready to go. Making the code xarray ready will be done in a separate PR. 

Co-authored-by: RubenImhoff <r.o.imhoff@live.nl>

… present

…th_workdir from pystepsrc

Refactoring of main steps blending code

…ng changes to prevent errors in blending.utils