Adding mean orographic height static fields

Preparing for v0.3.4 release

Author: jodemaey

README.md

@@ -9,15 +9,24 @@ A plugin for [climetlab](https://github.com/ecmwf/climetlab) to retrieve the Eum
 
 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**: 0.3.2
-> * **Intake catalogues version**: 0.2.3
+> * **Climetlab plugin version**: 0.3.3
+> * **Intake catalogues version**: 0.2.4
 > * **Base dataset version**: 1.0
 > * **EUPPBench dataset version**: 1.0
 > * **EUPreciPBench dataset version**: 0.5
 > * **Dataset status**: [Datasets status](https://eupp-benchmark.github.io/EUPPBench-doc/files/datasets_status.html#datasets-status)
 
 An [Intake catalogue](https://github.com/EUPP-benchmark/intake-eumetnet-postprocessing-benchmark) is also available, as an alternative way to get the datasets.
 
+## Installation
+
+The catalogue can be installed using [pip](https://pypi.org/).
+Type in a terminal
+
+    pip install climetlab climetlab-eumetnet-postprocessing-benchmark
+
+and you are set!
+
 ## Documentation of the datasets
 
 There are currently three sub-datasets available:

climetlab_eumetnet_postprocessing_benchmark/EUPP/gridded/static_fields_data.py

@@ -7,7 +7,7 @@
 
 from ...config import EUPP_baseurl
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 _terms_of_use = """By downloading data from this dataset, you agree to the terms and conditions defined at
 

climetlab_eumetnet_postprocessing_benchmark/EUPP/gridded/training_data_forecasts.py

@@ -9,7 +9,7 @@
 
 from ...config import EUPP_baseurl
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 _terms_of_use = """By downloading data from this dataset, you agree to the terms and conditions defined at
 

climetlab_eumetnet_postprocessing_benchmark/EUPP/gridded/training_data_reforecasts.py

@@ -4,7 +4,7 @@
 from .training_data_forecasts import TrainingDataForecastSurface, TrainingDataForecastPressure,\
     TrainingDataForecastSurfaceProcessed
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 
 class TrainingDataReforecastSurface(TrainingDataForecastSurface):

climetlab_eumetnet_postprocessing_benchmark/EUPP/stations/training_data_forecasts.py

@@ -9,7 +9,7 @@
 
 from ...config import EUPP_baseurl
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 _terms_of_use = """By downloading data from this dataset, you agree to the terms and conditions defined at
 

climetlab_eumetnet_postprocessing_benchmark/EUPP/stations/training_data_reforecasts.py

@@ -4,7 +4,7 @@
 from .training_data_forecasts import TrainingDataForecastSurface, TrainingDataForecastPressure,\
     TrainingDataForecastSurfaceProcessed
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 
 class TrainingDataReforecastSurface(TrainingDataForecastSurface):

climetlab_eumetnet_postprocessing_benchmark/EUPreciP/precipitations.py

@@ -1,16 +1,14 @@
 #!/usr/bin/env python3
 from __future__ import annotations
 
-import warnings
-
 import climetlab as cml
 from climetlab import Dataset
 from climetlab.utils.patterns import Pattern
 from climetlab.normalize import normalize
 
 from ..config import EUPreciP_baseurl
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 _terms_of_use = """By downloading data from this dataset, you agree to the terms and conditions defined at
 
@@ -109,7 +107,7 @@ class StaticField(CosmoDataForecast):
 
     dataset = None
 
-    _static_parameters = ["landu", "mterh", "z"]
+    _static_parameters = ["landu", "mterh", "hsurf_DE", "hsurf_D2"]
 
     @normalize("parameter", _static_parameters)
     def __init__(self, parameter):
@@ -118,5 +116,7 @@ def __init__(self, parameter):
             CosmoDataForecast.__init__(self, "_land_usage")
         elif parameter == "mterh":
             CosmoDataForecast.__init__(self, "_model_terrain_height")
-        elif parameter == "z":
-            CosmoDataForecast.__init__(self, "_z")
+        elif parameter == "hsurf_DE":
+            CosmoDataForecast.__init__(self, "_COSMO_DE_mean_orographic_height.zarr")
+        elif parameter == "hsurf_D2":
+            CosmoDataForecast.__init__(self, "_COSMO_D2_mean_orographic_height.zarr")

climetlab_eumetnet_postprocessing_benchmark/gridded/static_fields_data.py

@@ -7,7 +7,7 @@
 
 from ..config import baseurl
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 _terms_of_use = """By downloading data from this dataset, you agree to the terms and conditions defined at
 

climetlab_eumetnet_postprocessing_benchmark/gridded/training_data_forecasts.py

@@ -16,7 +16,7 @@
 from ..config import baseurl
 from ..utils import convert_to_datetime
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 _terms_of_use = """By downloading data from this dataset, you agree to the terms and conditions defined at
 

climetlab_eumetnet_postprocessing_benchmark/gridded/training_data_reforecasts.py

@@ -13,7 +13,7 @@
     TrainingDataForecastSurfaceProcessed
 from ..utils import convert_to_datetime
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
 
 # TODO: Add a check for valid reforecast date and then warn the user if not valid