Metadata-Version: 2.1
Name: climetlab_eumetnet_postprocessing_benchmark
Version: 0.2.3
Summary: A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
Home-page: https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark
Author: Jonathan Demaeyer
Author-email: jodemaey@meteo.be
License: BSD-3-Clause License
Description: # The Eumetnet postprocessing benchmark dataset Climetlab plugin
        
        [![PyPI version](https://badge.fury.io/py/climetlab-eumetnet-postprocessing-benchmark.svg)](https://badge.fury.io/py/climetlab-eumetnet-postprocessing-benchmark)
        [![PyPI pyversions](https://img.shields.io/pypi/pyversions/climetlab-eumetnet-postprocessing-benchmark.svg)](https://pypi.org/project/climetlab-eumetnet-postprocessing-benchmark/)
        [![build](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/actions/workflows/check-and-publish.yml/badge.svg?branch=main)](https://github.com/EUPP-benchmark/climetlab-eumetnet-postprocessing-benchmark/actions/workflows/check-and-publish.yml)
        [<img src="https://img.shields.io/badge/docs-online-green.svg">](https://eupp-benchmark.github.io/EUPPBench-doc)
        
        A plugin for [climetlab](https://github.com/ecmwf/climetlab) to retrieve the Eumetnet postprocessing benchmark datasets.
        
        Ease the download of the dataset time-aligned forecasts, reforecasts (hindcasts) and observations ([ERA5 reanalysis](https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5)).
        
        > * **Climetlab plugin version**: 0.2.3
        > * **EUPPBench dataset version**: 1.0
        > * **Base dataset version**: 1.0
        > * **Dataset status**: [Datasets status](https://eupp-benchmark.github.io/EUPPBench-doc/files/datasets_status.html#datasets-status)
        
        ## Documentation of the datasets
        
        There are currently two sub-datasets available:
        
        * [The EUPPBench dataset](https://eupp-benchmark.github.io/EUPPBench-doc/files/EUPPBench_datasets.html)
        * [The base dataset over Europe's domain](https://eupp-benchmark.github.io/EUPPBench-doc/files/base_datasets.html)
        
        They are both documented [here](https://eupp-benchmark.github.io/EUPPBench-doc/index.html).
        
        ## Using climetlab to access the data
        
        See the [demo notebooks](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks)
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Climdyn/climetlab-eumetnet-postprocessing-benchmark/main?urlpath=lab)
        
        
        - [demo_training_data_forecasts.ipynb](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks/demo_training_data_forecasts.ipynb)
          [![nbviewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.jupyter.org/github/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/notebooks/demo_training_data_forecasts.ipynb)
          [![Open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/notebooks/demo_training_data_forecasts.ipynb)
          [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Climdyn/climetlab-eumetnet-postprocessing-benchmark/main?filepath=notebooks/demo_training_data_forecasts.ipynb)
          [<img src="https://deepnote.com/buttons/launch-in-deepnote-small.svg">](https://deepnote.com/launch?name=MyProject&url=https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks/demo_training_data_forecasts.ipynb)
        
        - [demo_ensemble_forecasts.ipynb](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks/demo_ensemble_forecasts.ipynb)
          [![nbviewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.jupyter.org/github/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/notebooks/demo_ensemble_forecasts.ipynb)
          [![Open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/notebooks/demo_ensemble_forecasts.ipynb)
          [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Climdyn/climetlab-eumetnet-postprocessing-benchmark/main?filepath=notebooks/demo_ensemble_forecasts.ipynb)
          [<img src="https://deepnote.com/buttons/launch-in-deepnote-small.svg">](https://deepnote.com/launch?name=MyProject&url=https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks/demo_ensemble_forecasts.ipynb)
        
        - [demo_EUPPBench_germany_station_data.ipynb](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks/demo_EUPPBench_germany_station_data.ipynb)
          [![nbviewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.jupyter.org/github/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/notebooks/demo_EUPPBench_germany_station_data.ipynb)
          [![Open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/notebooks/demo_EUPPBench_germany_station_data.ipynb)
          [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Climdyn/climetlab-eumetnet-postprocessing-benchmark/main?filepath=notebooks/demo_EUPPBench_germany_station_data.ipynb)
          [<img src="https://deepnote.com/buttons/launch-in-deepnote-small.svg">](https://deepnote.com/launch?name=MyProject&url=https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks/demo_EUPPBench_germany_station_data.ipynb)
        
        - [demo_EUPPBench_gridded_data.ipynb](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks/demo_EUPPBench_gridded_data.ipynb)
          [![nbviewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.jupyter.org/github/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/notebooks/demo_EUPPBench_gridded_data.ipynb)
          [![Open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/notebooks/demo_EUPPBench_gridded_data.ipynb)
          [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Climdyn/climetlab-eumetnet-postprocessing-benchmark/main?filepath=notebooks/demo_EUPPBench_gridded_data.ipynb)
          [<img src="https://deepnote.com/buttons/launch-in-deepnote-small.svg">](https://deepnote.com/launch?name=MyProject&url=https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/tree/main/notebooks/demo_EUPPBench_gridded_data.ipynb)
         
        The climetlab python package allows easy access to the data with a few lines of code such as:
        ``` python
        # Uncomment the line below if climetlab and the plugin are not yet installed
        #!pip install climetlab climetlab-eumetnet-postprocessing-benchmark
        import climetlab as cml
        ds = cml.load_dataset('eumetnet-postprocessing-benchmark-training-data-gridded-forecasts-surface', "2017-12-02", "2t", "highres")
        fcs = ds.to_xarray()
        ```
        which download the deterministic (high-resolution) forecasts for the 2 metres temperature. 
        Once obtained, the corresponding observations (if available) can be retrieved in the [xarray](http://xarray.pydata.org/en/stable/index.html) format by using the `get_observations_as_xarray` method:
        ``` python
        obs = ds.get_observations_as_xarray()
        ```
        
        
        ## Support and contributing
        
        Please open a [issue on github](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/issues).
        
        ## LICENSE
        
        See the [LICENSE](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/LICENSE) file for the code, and the [DATA_LICENSE](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/DATA_LICENSE) for the data.
        
        ## Authors
        
        See the [CONTRIBUTORS.md](https://github.com/Climdyn/climetlab-eumetnet-postprocessing-benchmark/blob/main/CONTRIBUTORS.md) file.
        
Keywords: meteorology,meteorological-data,postprocessing
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
