Python Examples#

DWD#

Observation#

Get available parameters for daily historical data of DWD:

In [1]: from wetterdienst import Resolution, Period

In [2]: from wetterdienst.provider.dwd.observation import DwdObservationRequest

In [3]: observations_meta = DwdObservationRequest.discover(
   ...:     resolution=Resolution.DAILY,
   ...: )
   ...: 

# Available parameter sets
In [4]: print(observations_meta)
{'daily': {'wind_gust_max': {'origin': 'm / s', 'si': 'm / s'}, 'wind_speed': {'origin': 'm / s', 'si': 'm / s'}, 'precipitation_height': {'origin': 'mm', 'si': 'kg / m ** 2'}, 'precipitation_form': {'origin': '-', 'si': '-'}, 'sunshine_duration': {'origin': 'h', 'si': 's'}, 'snow_depth': {'origin': 'cm', 'si': 'm'}, 'cloud_cover_total': {'origin': '1/8', 'si': 'pct'}, 'pressure_vapor': {'origin': 'hPa', 'si': 'Pa'}, 'pressure_air_site': {'origin': 'hPa', 'si': 'Pa'}, 'temperature_air_mean_200': {'origin': '°C', 'si': 'K'}, 'humidity': {'origin': 'pct', 'si': 'pct'}, 'temperature_air_max_200': {'origin': '°C', 'si': 'K'}, 'temperature_air_min_200': {'origin': '°C', 'si': 'K'}, 'temperature_air_min_005': {'origin': '°C', 'si': 'K'}, 'snow_depth_new': {'origin': 'cm', 'si': 'm'}, 'temperature_soil_mean_002': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_005': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_010': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_020': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_050': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_100': {'origin': '°C', 'si': 'K'}, 'radiation_sky_long_wave': {'origin': 'J / cm ** 2', 'si': 'J / m ** 2'}, 'radiation_sky_short_wave_diffuse': {'origin': 'J / cm ** 2', 'si': 'J / m ** 2'}, 'radiation_global': {'origin': 'J / cm ** 2', 'si': 'J / m ** 2'}, 'snow_depth_excelled': {'origin': 'cm', 'si': 'm'}, 'water_equivalent_snow_depth': {'origin': 'mm', 'si': 'kg / m ** 2'}, 'water_equivalent_snow_depth_excelled': {'origin': 'mm', 'si': 'kg / m ** 2'}, 'count_weather_type_fog': {'origin': '-', 'si': '-'}, 'count_weather_type_thunder': {'origin': '-', 'si': '-'}, 'count_weather_type_storm_strong_wind': {'origin': '-', 'si': '-'}, 'count_weather_type_storm_stormier_wind': {'origin': '-', 'si': '-'}, 'count_weather_type_dew': {'origin': '-', 'si': '-'}, 'count_weather_type_glaze': {'origin': '-', 'si': '-'}, 'count_weather_type_ripe': {'origin': '-', 'si': '-'}, 'count_weather_type_sleet': {'origin': '-', 'si': '-'}, 'count_weather_type_hail': {'origin': '-', 'si': '-'}}}

# Available individual parameters
In [5]: observations_meta = DwdObservationRequest.discover(
   ...:     resolution=Resolution.DAILY, flatten=False
   ...: )
   ...: 

In [6]: print(observations_meta)
{'daily': {'climate_summary': {'quality_wind': {'origin': '-', 'si': '-'}, 'wind_gust_max': {'origin': 'm / s', 'si': 'm / s'}, 'wind_speed': {'origin': 'm / s', 'si': 'm / s'}, 'quality_general': {'origin': '-', 'si': '-'}, 'precipitation_height': {'origin': 'mm', 'si': 'kg / m ** 2'}, 'precipitation_form': {'origin': '-', 'si': '-'}, 'sunshine_duration': {'origin': 'h', 'si': 's'}, 'snow_depth': {'origin': 'cm', 'si': 'm'}, 'cloud_cover_total': {'origin': '1/8', 'si': 'pct'}, 'pressure_vapor': {'origin': 'hPa', 'si': 'Pa'}, 'pressure_air_site': {'origin': 'hPa', 'si': 'Pa'}, 'temperature_air_mean_200': {'origin': '°C', 'si': 'K'}, 'humidity': {'origin': 'pct', 'si': 'pct'}, 'temperature_air_max_200': {'origin': '°C', 'si': 'K'}, 'temperature_air_min_200': {'origin': '°C', 'si': 'K'}, 'temperature_air_min_005': {'origin': '°C', 'si': 'K'}}, 'precipitation_more': {'quality': {'origin': '-', 'si': '-'}, 'precipitation_height': {'origin': 'mm', 'si': 'kg / m ** 2'}, 'precipitation_form': {'origin': '-', 'si': '-'}, 'snow_depth': {'origin': 'cm', 'si': 'm'}, 'snow_depth_new': {'origin': 'cm', 'si': 'm'}}, 'solar': {'quality': {'origin': '-', 'si': '-'}, 'radiation_sky_long_wave': {'origin': 'J / cm ** 2', 'si': 'J / m ** 2'}, 'radiation_sky_short_wave_diffuse': {'origin': 'J / cm ** 2', 'si': 'J / m ** 2'}, 'radiation_global': {'origin': 'J / cm ** 2', 'si': 'J / m ** 2'}, 'sunshine_duration': {'origin': 'h', 'si': 's'}}, 'temperature_soil': {'quality': {'origin': '°C', 'si': '-'}, 'temperature_soil_mean_002': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_005': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_010': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_020': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_050': {'origin': '°C', 'si': 'K'}, 'temperature_soil_mean_100': {'origin': '°C', 'si': 'K'}}, 'water_equivalent': {'qn_6': {'origin': '-', 'si': '-'}, 'snow_depth_excelled': {'origin': 'cm', 'si': 'm'}, 'snow_depth': {'origin': 'cm', 'si': 'm'}, 'water_equivalent_snow_depth': {'origin': 'mm', 'si': 'kg / m ** 2'}, 'water_equivalent_snow_depth_excelled': {'origin': 'mm', 'si': 'kg / m ** 2'}}, 'weather_phenomena': {'quality': {'origin': '-', 'si': '-'}, 'count_weather_type_fog': {'origin': '-', 'si': '-'}, 'count_weather_type_thunder': {'origin': '-', 'si': '-'}, 'count_weather_type_storm_strong_wind': {'origin': '-', 'si': '-'}, 'count_weather_type_storm_stormier_wind': {'origin': '-', 'si': '-'}, 'count_weather_type_dew': {'origin': '-', 'si': '-'}, 'count_weather_type_glaze': {'origin': '-', 'si': '-'}, 'count_weather_type_ripe': {'origin': '-', 'si': '-'}, 'count_weather_type_sleet': {'origin': '-', 'si': '-'}, 'count_weather_type_hail': {'origin': '-', 'si': '-'}}, 'weather_phenomena_more': {'quality': {'origin': '-', 'si': '-'}, 'count_weather_type_sleet': {'origin': '-', 'si': '-'}, 'count_weather_type_hail': {'origin': '-', 'si': '-'}, 'count_weather_type_fog': {'origin': '-', 'si': '-'}, 'count_weather_type_thunder': {'origin': '-', 'si': '-'}}}}

Get stations for daily historical precipitation:

In [7]: from wetterdienst import Resolution, Period

In [8]: from wetterdienst.provider.dwd.observation import DwdObservationRequest, DwdObservationDataset

In [9]: stations = DwdObservationRequest(
   ...:     parameter=DwdObservationDataset.PRECIPITATION_MORE,
   ...:     resolution=Resolution.DAILY,
   ...:     period=Period.HISTORICAL
   ...: )
   ...: 

In [10]: print(stations.all().df.head())
shape: (5, 8)
┌────────────┬─────────────┬─────────────┬──────────┬───────────┬────────┬────────────┬────────────┐
│ station_id ┆ start_date  ┆ end_date    ┆ latitude ┆ longitude ┆ height ┆ name       ┆ state      │
│ ---        ┆ ---         ┆ ---         ┆ ---      ┆ ---       ┆ ---    ┆ ---        ┆ ---        │
│ str        ┆ datetime[μs ┆ datetime[μs ┆ f64      ┆ f64       ┆ f64    ┆ str        ┆ str        │
│            ┆ , UTC]      ┆ , UTC]      ┆          ┆           ┆        ┆            ┆            │
╞════════════╪═════════════╪═════════════╪══════════╪═══════════╪════════╪════════════╪════════════╡
│ 00001      ┆ 1912-01-01  ┆ 1986-06-30  ┆ 47.8413  ┆ 8.8493    ┆ 478.0  ┆ Aach       ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00002      ┆ 1951-01-01  ┆ 2006-12-31  ┆ 50.8066  ┆ 6.0996    ┆ 138.0  ┆ Aachen (Kl ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ äranlage)  ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00003      ┆ 1891-01-01  ┆ 2011-03-31  ┆ 50.7827  ┆ 6.0941    ┆ 202.0  ┆ Aachen     ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00004      ┆ 1951-01-01  ┆ 1979-10-31  ┆ 50.7683  ┆ 6.1207    ┆ 243.0  ┆ Aachen-Bra ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ nd         ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00006      ┆ 1982-11-01  ┆ 2024-02-28  ┆ 48.8361  ┆ 10.0598   ┆ 455.0  ┆ Aalen-Unte ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ rrombach   ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
└────────────┴─────────────┴─────────────┴──────────┴───────────┴────────┴────────────┴────────────┘

Get data for a dataset:

In [11]: from wetterdienst import Resolution, Period

In [12]: from wetterdienst.provider.dwd.observation import DwdObservationRequest, DwdObservationDataset

In [13]: stations = DwdObservationRequest(
   ....:     parameter=DwdObservationDataset.PRECIPITATION_MORE,
   ....:     resolution=Resolution.DAILY,
   ....:     period=Period.HISTORICAL
   ....: )
   ....: 

In [14]: print(next(stations.all().values.query()))
ValuesResult(df=shape: (105_920, 6)
┌────────────┬────────────────────┬────────────────────┬─────────────────────────┬───────┬─────────┐
│ station_id ┆ dataset            ┆ parameter          ┆ date                    ┆ value ┆ quality │
│ ---        ┆ ---                ┆ ---                ┆ ---                     ┆ ---   ┆ ---     │
│ str        ┆ str                ┆ str                ┆ datetime[μs, UTC]       ┆ f64   ┆ f64     │
╞════════════╪════════════════════╪════════════════════╪═════════════════════════╪═══════╪═════════╡
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-01 00:00:00 UTC ┆ 0.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-02 00:00:00 UTC ┆ 1.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-03 00:00:00 UTC ┆ 0.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-04 00:00:00 UTC ┆ 1.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-05 00:00:00 UTC ┆ 7.0   ┆ 1.0     │
│ …          ┆ …                  ┆ …                  ┆ …                       ┆ …     ┆ …       │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-26 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-27 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-28 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-29 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-30 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
└────────────┴────────────────────┴────────────────────┴─────────────────────────┴───────┴─────────┘, stations=StationsResult(df=shape: (5_733, 8)
┌────────────┬─────────────┬─────────────┬──────────┬───────────┬────────┬────────────┬────────────┐
│ station_id ┆ start_date  ┆ end_date    ┆ latitude ┆ longitude ┆ height ┆ name       ┆ state      │
│ ---        ┆ ---         ┆ ---         ┆ ---      ┆ ---       ┆ ---    ┆ ---        ┆ ---        │
│ str        ┆ datetime[μs ┆ datetime[μs ┆ f64      ┆ f64       ┆ f64    ┆ str        ┆ str        │
│            ┆ , UTC]      ┆ , UTC]      ┆          ┆           ┆        ┆            ┆            │
╞════════════╪═════════════╪═════════════╪══════════╪═══════════╪════════╪════════════╪════════════╡
│ 00001      ┆ 1912-01-01  ┆ 1986-06-30  ┆ 47.8413  ┆ 8.8493    ┆ 478.0  ┆ Aach       ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00002      ┆ 1951-01-01  ┆ 2006-12-31  ┆ 50.8066  ┆ 6.0996    ┆ 138.0  ┆ Aachen (Kl ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ äranlage)  ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00003      ┆ 1891-01-01  ┆ 2011-03-31  ┆ 50.7827  ┆ 6.0941    ┆ 202.0  ┆ Aachen     ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00004      ┆ 1951-01-01  ┆ 1979-10-31  ┆ 50.7683  ┆ 6.1207    ┆ 243.0  ┆ Aachen-Bra ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ nd         ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00006      ┆ 1982-11-01  ┆ 2024-02-28  ┆ 48.8361  ┆ 10.0598   ┆ 455.0  ┆ Aalen-Unte ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ rrombach   ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ …          ┆ …           ┆ …           ┆ …        ┆ …         ┆ …      ┆ …          ┆ …          │
│ 19580      ┆ 1975-01-01  ┆ 2005-12-31  ┆ 48.4951  ┆ 9.4003    ┆ 471.0  ┆ Urach      ┆ null       │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19581      ┆ 1941-01-01  ┆ 2005-03-31  ┆ 48.6671  ┆ 8.47      ┆ 600.0  ┆ Enzklöster ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ le/Schwarz ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆ wald       ┆            │
│ 19582      ┆ 1931-01-01  ┆ 2000-12-31  ┆ 48.1419  ┆ 8.4255    ┆ 754.0  ┆ Königsfeld ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19602      ┆ 1978-01-01  ┆ 2004-12-31  ┆ 48.7171  ┆ 10.6176   ┆ 446.0  ┆ Bissingen  ┆ null       │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19631      ┆ 1881-06-01  ┆ 1969-12-19  ┆ 50.8083  ┆ 10.2294   ┆ 268.0  ┆ Salzungen  ┆ Thüringen  │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
└────────────┴─────────────┴─────────────┴──────────┴───────────┴────────┴────────────┴────────────┘), values=DwdObservationRequestValues([00001, 00002, 00003, 00004, 00006, 00007, 00008, 00009, 00010, 00012, 00013, 00014, 00015, 00016, 00017, 00018, 00019, 00020, 00021, 00022, 00023, 00024, 00026, 00027, 00028, 00030, 00031, 00032, 00033, 00034, 00035, 00036, 00037, 00038, 00039, 00040, 00041, 00042, 00043, 00044, 00045, 00046, 00047, 00048, 00050, 00051, 00052, 00053, 00054, 00055, 00056, 00057, 00058, 00059, 00060, 00061, 00062, 00063, 00064, 00065, 00066, 00067, 00068, 00069, 00070, 00071, 00072, 00073, 00074, 00075, 00076, 00077, 00078, 00079, 00080, 00081, 00082, 00083, 00084, 00085, 00086, 00087, 00088, 00089, 00091, 00092, 00093, 00094, 00095, 00096, 00097, 00098, 00099, 00100, 00101, 00103, 00104, 00105, 00107, 00108, 00109, 00110, 00111, 00112, 00113, 00115, 00116, 00117, 00118, 00119, 00120, 00121, 00122, 00123, 00124, 00127, 00128, 00129, 00130, 00131, 00132, 00133, 00134, 00135, 00137, 00138, 00139, 00140, 00141, 00142, 00143, 00144, 00145, 00146, 00147, 00148, 00149, 00150, 00151, 00152, 00153, 00154, 00155, 00156, 00158, 00159, 00160, 00161, 00162, 00163, 00164, 00165, 00166, 00167, 00168, 00169, 00170, 00172, 00173, 00174, 00175, 00177, 00178, 00179, 00180, 00182, 00183, 00184, 00185, 00186, 00187, 00188, 00189, 00190, 00191, 00192, 00193, 00194, 00196, 00198, 00199, 00200, 00201, 00202, 00203, 00204, 00205, 00206, 00207, 00208, 00209, 00211, 00213, 00214, 00215, 00216, 00217, 00218, 00219, 00220, 00221, 00222, 00223, 00224, 00225, 00226, 00227, 00228, 00229, 00230, 00231, 00232, 00234, 00235, 00236, 00237, 00240, 00242, 00243, 00244, 00245, 00246, 00247, 00248, 00249, 00250, 00251, 00252, 00255, 00256, 00257, 00259, 00260, 00262, 00264, 00266, 00267, 00268, 00269, 00270, 00271, 00272, 00273, 00274, 00275, 00276, 00277, 00278, 00279, 00280, 00281, 00282, 00283, 00284, 00285, 00287, 00288, 00289, 00290, 00291, 00292, 00293, 00294, 00295, 00296, 00297, 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04905, 04906, 04907, 04908, 04909, 04910, 04911, 04912, 04913, 04914, 04915, 04916, 04917, 04918, 04920, 04921, 04922, 04923, 04925, 04926, 04927, 04928, 04931, 04932, 04933, 04934, 04935, 04936, 04937, 04938, 04940, 04941, 04942, 04943, 04944, 04945, 04946, 04948, 04949, 04950, 04951, 04952, 04953, 04954, 04955, 04956, 04957, 04958, 04959, 04960, 04961, 04962, 04963, 04964, 04965, 04966, 04967, 04968, 04969, 04970, 04971, 04973, 04974, 04975, 04976, 04977, 04978, 04979, 04980, 04981, 04982, 04983, 04984, 04985, 04986, 04987, 04988, 04989, 04990, 04991, 04992, 04993, 04994, 04995, 04996, 04997, 04998, 05000, 05001, 05002, 05003, 05004, 05005, 05006, 05007, 05008, 05009, 05011, 05012, 05013, 05014, 05015, 05016, 05017, 05018, 05019, 05020, 05021, 05022, 05023, 05024, 05026, 05027, 05028, 05029, 05030, 05031, 05032, 05033, 05034, 05035, 05036, 05037, 05038, 05039, 05040, 05042, 05043, 05044, 05045, 05046, 05047, 05049, 05050, 05051, 05053, 05054, 05055, 05056, 05057, 05058, 05059, 05060, 05061, 05062, 05063, 05064, 05065, 05066, 05067, 05068, 05069, 05070, 05071, 05072, 05073, 05074, 05075, 05077, 05078, 05079, 05080, 05081, 05082, 05083, 05084, 05085, 05086, 05087, 05088, 05089, 05090, 05091, 05092, 05093, 05094, 05096, 05097, 05098, 05099, 05100, 05102, 05103, 05104, 05105, 05106, 05107, 05108, 05109, 05110, 05111, 05112, 05113, 05114, 05115, 05116, 05117, 05118, 05121, 05122, 05123, 05124, 05125, 05126, 05127, 05128, 05129, 05130, 05131, 05132, 05133, 05134, 05135, 05136, 05137, 05138, 05139, 05140, 05141, 05142, 05143, 05144, 05145, 05146, 05147, 05148, 05149, 05150, 05151, 05152, 05153, 05155, 05156, 05157, 05158, 05159, 05160, 05161, 05162, 05163, 05165, 05166, 05167, 05168, 05169, 05171, 05172, 05173, 05174, 05175, 05176, 05177, 05178, 05179, 05180, 05181, 05183, 05184, 05185, 05186, 05187, 05188, 05189, 05190, 05191, 05192, 05193, 05194, 05195, 05196, 05198, 05199, 05200, 05201, 05202, 05203, 05204, 05205, 05206, 05207, 05209, 05210, 05211, 05213, 05214, 05215, 05216, 05217, 05218, 05219, 05220, 05221, 05222, 05223, 05225, 05227, 05228, 05229, 05230, 05231, 05232, 05233, 05234, 05236, 05237, 05238, 05239, 05240, 05241, 05242, 05243, 05244, 05246, 05247, 05248, 05250, 05251, 05252, 05253, 05254, 05255, 05256, 05257, 05258, 05259, 05260, 05261, 05262, 05263, 05264, 05265, 05266, 05267, 05268, 05269, 05270, 05271, 05272, 05273, 05275, 05276, 05277, 05278, 05279, 05280, 05281, 05282, 05283, 05284, 05285, 05286, 05287, 05288, 05289, 05290, 05291, 05292, 05293, 05294, 05295, 05296, 05297, 05298, 05299, 05300, 05301, 05302, 05303, 05304, 05305, 05306, 05307, 05309, 05310, 05311, 05312, 05313, 05314, 05315, 05316, 05317, 05318, 05320, 05321, 05322, 05323, 05324, 05325, 05326, 05328, 05329, 05330, 05331, 05332, 05333, 05334, 05335, 05336, 05337, 05338, 05339, 05340, 05341, 05342, 05343, 05344, 05345, 05346, 05347, 05348, 05349, 05350, 05351, 05352, 05353, 05354, 05356, 05357, 05358, 05359, 05360, 05361, 05362, 05363, 05364, 05365, 05366, 05368, 05369, 05370, 05371, 05372, 05373, 05374, 05376, 05377, 05378, 05379, 05380, 05381, 05382, 05383, 05384, 05385, 05386, 05387, 05388, 05389, 05390, 05391, 05392, 05393, 05394, 05395, 05396, 05397, 05398, 05399, 05400, 05401, 05402, 05403, 05404, 05405, 05406, 05407, 05408, 05409, 05410, 05411, 05413, 05414, 05415, 05416, 05417, 05418, 05419, 05420, 05421, 05422, 05424, 05425, 05426, 05428, 05429, 05430, 05431, 05432, 05433, 05434, 05435, 05436, 05437, 05438, 05440, 05441, 05442, 05443, 05444, 05445, 05446, 05447, 05448, 05449, 05450, 05451, 05452, 05453, 05454, 05455, 05456, 05457, 05458, 05459, 05460, 05461, 05462, 05463, 05464, 05466, 05467, 05468, 05469, 05470, 05471, 05473, 05474, 05476, 05477, 05478, 05479, 05480, 05481, 05482, 05483, 05484, 05485, 05486, 05487, 05488, 05489, 05490, 05492, 05495, 05496, 05497, 05498, 05499, 05500, 05501, 05502, 05503, 05504, 05505, 05506, 05507, 05509, 05510, 05511, 05512, 05513, 05514, 05516, 05517, 05518, 05519, 05520, 05521, 05522, 05523, 05524, 05525, 05526, 05527, 05529, 05530, 05531, 05532, 05534, 05535, 05536, 05537, 05538, 05539, 05540, 05541, 05542, 05543, 05544, 05545, 05546, 05547, 05548, 05549, 05550, 05551, 05552, 05553, 05554, 05555, 05556, 05557, 05558, 05559, 05560, 05561, 05562, 05563, 05565, 05567, 05568, 05569, 05571, 05573, 05574, 05575, 05576, 05577, 05578, 05579, 05580, 05581, 05582, 05584, 05585, 05586, 05587, 05588, 05589, 05590, 05591, 05592, 05593, 05594, 05595, 05596, 05597, 05598, 05599, 05600, 05601, 05602, 05603, 05604, 05605, 05606, 05607, 05608, 05609, 05610, 05611, 05612, 05614, 05615, 05616, 05617, 05618, 05619, 05620, 05621, 05622, 05623, 05624, 05626, 05627, 05628, 05629, 05630, 05631, 05632, 05634, 05635, 05636, 05637, 05638, 05639, 05643, 05644, 05645, 05646, 05647, 05648, 05649, 05650, 05651, 05652, 05653, 05654, 05655, 05656, 05657, 05658, 05659, 05660, 05661, 05662, 05663, 05664, 05665, 05666, 05667, 05668, 05669, 05670, 05671, 05672, 05673, 05674, 05675, 05676, 05677, 05678, 05679, 05680, 05681, 05682, 05683, 05684, 05685, 05686, 05687, 05688, 05689, 05690, 05691, 05692, 05693, 05694, 05695, 05696, 05698, 05699, 05700, 05701, 05702, 05703, 05704, 05705, 05706, 05707, 05708, 05709, 05710, 05711, 05712, 05713, 05714, 05715, 05716, 05717, 05718, 05719, 05720, 05721, 05722, 05723, 05724, 05725, 05726, 05727, 05728, 05729, 05730, 05731, 05732, 05733, 05736, 05737, 05738, 05739, 05740, 05741, 05742, 05743, 05745, 05746, 05747, 05748, 05749, 05750, 05751, 05752, 05753, 05754, 05755, 05756, 05757, 05758, 05759, 05761, 05762, 05763, 05765, 05766, 05767, 05768, 05769, 05770, 05771, 05772, 05773, 05774, 05775, 05776, 05777, 05778, 05779, 05780, 05781, 05782, 05783, 05784, 05785, 05786, 05787, 05788, 05789, 05790, 05791, 05792, 05793, 05794, 05795, 05797, 05798, 05800, 05801, 05802, 05803, 05804, 05805, 05806, 05807, 05808, 05814, 05821, 05822, 05825, 05826, 05830, 05831, 05832, 05833, 05839, 05840, 05846, 05847, 05854, 05855, 05856, 05865, 05866, 05869, 05870, 05871, 05874, 05875, 05885, 05886, 05890, 05896, 05897, 05898, 05899, 05901, 05904, 05906, 05912, 05913, 05920, 05921, 05924, 05925, 05927, 05928, 05930, 05941, 05943, 05944, 05952, 05953, 05958, 05959, 05960, 05962, 05963, 05969, 05970, 05971, 05972, 05979, 05980, 05983, 05985, 05986, 05987, 05988, 05989, 05990, 05991, 05992, 05993, 05994, 06084, 06085, 06086, 06087, 06093, 06095, 06100, 06105, 06109, 06110, 06112, 06113, 06114, 06129, 06157, 06158, 06159, 06161, 06163, 06165, 06169, 06170, 06177, 06178, 06182, 06185, 06186, 06190, 06191, 06193, 06195, 06196, 06197, 06199, 06200, 06201, 06203, 06212, 06214, 06215, 06216, 06217, 06218, 06219, 06220, 06227, 06228, 06257, 06258, 06259, 06260, 06262, 06263, 06264, 06265, 06266, 06268, 06269, 06270, 06271, 06272, 06273, 06274, 06275, 06276, 06278, 06303, 06304, 06305, 06310, 06312, 06313, 06314, 06336, 06337, 06338, 06344, 06346, 06347, 07075, 07077, 07078, 07079, 07099, 07103, 07104, 07105, 07106, 07134, 07135, 07136, 07138, 07141, 07187, 07224, 07225, 07226, 07227, 07228, 07229, 07230, 07231, 07233, 07234, 07235, 07237, 07238, 07239, 07240, 07241, 07242, 07243, 07244, 07285, 07298, 07319, 07321, 07322, 07323, 07326, 07327, 07328, 07329, 07330, 07331, 07333, 07334, 07335, 07337, 07341, 07343, 07344, 07350, 07351, 07361, 07363, 07364, 07367, 07368, 07369, 07370, 07372, 07373, 07374, 07375, 07378, 07380, 07381, 07382, 07389, 07393, 07394, 07395, 07396, 07403, 07410, 07412, 07413, 07418, 07419, 07420, 07421, 07423, 07424, 07425, 07427, 07428, 07429, 07430, 07431, 07432, 07434, 07436, 07485, 07486, 07487, 07488, 07489, 07490, 07491, 07492, 07493, 07494, 07495, 07496, 07497, 07498, 07499, 07500, 10339, 13654, 13662, 13663, 13669, 13670, 13671, 13672, 13673, 13674, 13675, 13680, 13682, 13686, 13687, 13688, 13691, 13696, 13697, 13698, 13699, 13700, 13709, 13710, 13711, 13712, 13713, 13714, 13715, 13716, 13717, 13774, 13776, 13777, 13781, 13782, 13786, 13876, 13886, 13905, 13919, 13925, 13926, 13933, 13965, 13967, 13969, 13990, 14001, 14130, 14135, 14137, 14139, 14157, 14300, 14303, 14304, 14305, 14306, 14307, 14308, 14309, 14310, 14311, 14313, 14314, 14315, 14316, 14317, 14318, 14320, 14321, 14322, 14323, 14343, 14363, 14667, 14670, 15000, 15001, 15003, 15011, 15012, 15013, 15014, 15015, 15016, 15041, 15109, 15117, 15147, 15149, 15150, 15170, 15171, 15180, 15186, 15195, 15197, 15207, 15209, 15232, 15235, 15244, 15247, 15444, 15455, 15456, 15477, 15478, 15490, 15498, 15499, 15512, 15514, 15518, 15522, 15526, 15530, 15531, 15553, 15555, 15558, 15559, 15567, 15572, 15573, 15574, 15810, 15813, 15819, 15901, 15906, 15912, 15918, 15919, 15926, 15927, 15928, 15931, 15936, 15939, 15941, 15943, 15944, 15945, 15951, 15953, 15963, 15964, 15965, 15977, 15979, 15980, 15984, 15991, 15994, 16085, 16086, 16087, 19033, 19039, 19041, 19042, 19043, 19044, 19086, 19087, 19095, 19096, 19120, 19123, 19125, 19127, 19140, 19171, 19172, 19193, 19208, 19209, 19250, 19251, 19279, 19289, 19299, 19302, 19305, 19306, 19307, 19309, 19318, 19325, 19331, 19332, 19356, 19364, 19365, 19378, 19399, 19414, 19415, 19424, 19433, 19434, 19436, 19439, 19472, 19479, 19492, 19493, 19494, 19504, 19505, 19510, 19511, 19512, 19513, 19514, 19515, 19516, 19529, 19577, 19579, 19580, 19581, 19582, 19602, 19631], [(more_precip/more_precip)], [historical], None,None))

Get data for a parameter:

In [15]: from wetterdienst import Resolution, Period

In [16]: from wetterdienst.provider.dwd.observation import DwdObservationRequest, DwdObservationParameter

In [17]: observation_data = DwdObservationRequest(
   ....:     parameter=DwdObservationParameter.DAILY.PRECIPITATION_HEIGHT,
   ....:     resolution=Resolution.DAILY,
   ....:     period=Period.HISTORICAL
   ....: )
   ....: 

In [18]: print(next(stations.all().values.query()))
ValuesResult(df=shape: (105_920, 6)
┌────────────┬────────────────────┬────────────────────┬─────────────────────────┬───────┬─────────┐
│ station_id ┆ dataset            ┆ parameter          ┆ date                    ┆ value ┆ quality │
│ ---        ┆ ---                ┆ ---                ┆ ---                     ┆ ---   ┆ ---     │
│ str        ┆ str                ┆ str                ┆ datetime[μs, UTC]       ┆ f64   ┆ f64     │
╞════════════╪════════════════════╪════════════════════╪═════════════════════════╪═══════╪═════════╡
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-01 00:00:00 UTC ┆ 0.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-02 00:00:00 UTC ┆ 1.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-03 00:00:00 UTC ┆ 0.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-04 00:00:00 UTC ┆ 1.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-05 00:00:00 UTC ┆ 7.0   ┆ 1.0     │
│ …          ┆ …                  ┆ …                  ┆ …                       ┆ …     ┆ …       │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-26 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-27 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-28 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-29 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-30 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
└────────────┴────────────────────┴────────────────────┴─────────────────────────┴───────┴─────────┘, stations=StationsResult(df=shape: (5_733, 8)
┌────────────┬─────────────┬─────────────┬──────────┬───────────┬────────┬────────────┬────────────┐
│ station_id ┆ start_date  ┆ end_date    ┆ latitude ┆ longitude ┆ height ┆ name       ┆ state      │
│ ---        ┆ ---         ┆ ---         ┆ ---      ┆ ---       ┆ ---    ┆ ---        ┆ ---        │
│ str        ┆ datetime[μs ┆ datetime[μs ┆ f64      ┆ f64       ┆ f64    ┆ str        ┆ str        │
│            ┆ , UTC]      ┆ , UTC]      ┆          ┆           ┆        ┆            ┆            │
╞════════════╪═════════════╪═════════════╪══════════╪═══════════╪════════╪════════════╪════════════╡
│ 00001      ┆ 1912-01-01  ┆ 1986-06-30  ┆ 47.8413  ┆ 8.8493    ┆ 478.0  ┆ Aach       ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00002      ┆ 1951-01-01  ┆ 2006-12-31  ┆ 50.8066  ┆ 6.0996    ┆ 138.0  ┆ Aachen (Kl ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ äranlage)  ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00003      ┆ 1891-01-01  ┆ 2011-03-31  ┆ 50.7827  ┆ 6.0941    ┆ 202.0  ┆ Aachen     ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00004      ┆ 1951-01-01  ┆ 1979-10-31  ┆ 50.7683  ┆ 6.1207    ┆ 243.0  ┆ Aachen-Bra ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ nd         ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00006      ┆ 1982-11-01  ┆ 2024-02-28  ┆ 48.8361  ┆ 10.0598   ┆ 455.0  ┆ Aalen-Unte ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ rrombach   ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ …          ┆ …           ┆ …           ┆ …        ┆ …         ┆ …      ┆ …          ┆ …          │
│ 19580      ┆ 1975-01-01  ┆ 2005-12-31  ┆ 48.4951  ┆ 9.4003    ┆ 471.0  ┆ Urach      ┆ null       │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19581      ┆ 1941-01-01  ┆ 2005-03-31  ┆ 48.6671  ┆ 8.47      ┆ 600.0  ┆ Enzklöster ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ le/Schwarz ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆ wald       ┆            │
│ 19582      ┆ 1931-01-01  ┆ 2000-12-31  ┆ 48.1419  ┆ 8.4255    ┆ 754.0  ┆ Königsfeld ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19602      ┆ 1978-01-01  ┆ 2004-12-31  ┆ 48.7171  ┆ 10.6176   ┆ 446.0  ┆ Bissingen  ┆ null       │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19631      ┆ 1881-06-01  ┆ 1969-12-19  ┆ 50.8083  ┆ 10.2294   ┆ 268.0  ┆ Salzungen  ┆ Thüringen  │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
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19364, 19365, 19378, 19399, 19414, 19415, 19424, 19433, 19434, 19436, 19439, 19472, 19479, 19492, 19493, 19494, 19504, 19505, 19510, 19511, 19512, 19513, 19514, 19515, 19516, 19529, 19577, 19579, 19580, 19581, 19582, 19602, 19631], [(more_precip/more_precip)], [historical], None,None))

Get data for a parameter from another dataset:

In [19]: from wetterdienst import Resolution, Period

In [20]: from wetterdienst.provider.dwd.observation import DwdObservationRequest

In [21]: observation_data = DwdObservationRequest(
   ....:     parameter=[("precipitation_height", "precipitation_more")],
   ....:     resolution=Resolution.DAILY,
   ....:     period=Period.HISTORICAL
   ....: )
   ....: 

In [22]: print(next(stations.all().values.query()))
ValuesResult(df=shape: (105_920, 6)
┌────────────┬────────────────────┬────────────────────┬─────────────────────────┬───────┬─────────┐
│ station_id ┆ dataset            ┆ parameter          ┆ date                    ┆ value ┆ quality │
│ ---        ┆ ---                ┆ ---                ┆ ---                     ┆ ---   ┆ ---     │
│ str        ┆ str                ┆ str                ┆ datetime[μs, UTC]       ┆ f64   ┆ f64     │
╞════════════╪════════════════════╪════════════════════╪═════════════════════════╪═══════╪═════════╡
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-01 00:00:00 UTC ┆ 0.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-02 00:00:00 UTC ┆ 1.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-03 00:00:00 UTC ┆ 0.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-04 00:00:00 UTC ┆ 1.0   ┆ 1.0     │
│ 00001      ┆ precipitation_more ┆ precipitation_form ┆ 1912-01-05 00:00:00 UTC ┆ 7.0   ┆ 1.0     │
│ …          ┆ …                  ┆ …                  ┆ …                       ┆ …     ┆ …       │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-26 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-27 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-28 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-29 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
│ 00001      ┆ precipitation_more ┆ snow_depth_new     ┆ 1986-06-30 00:00:00 UTC ┆ 0.0   ┆ 10.0    │
└────────────┴────────────────────┴────────────────────┴─────────────────────────┴───────┴─────────┘, stations=StationsResult(df=shape: (5_733, 8)
┌────────────┬─────────────┬─────────────┬──────────┬───────────┬────────┬────────────┬────────────┐
│ station_id ┆ start_date  ┆ end_date    ┆ latitude ┆ longitude ┆ height ┆ name       ┆ state      │
│ ---        ┆ ---         ┆ ---         ┆ ---      ┆ ---       ┆ ---    ┆ ---        ┆ ---        │
│ str        ┆ datetime[μs ┆ datetime[μs ┆ f64      ┆ f64       ┆ f64    ┆ str        ┆ str        │
│            ┆ , UTC]      ┆ , UTC]      ┆          ┆           ┆        ┆            ┆            │
╞════════════╪═════════════╪═════════════╪══════════╪═══════════╪════════╪════════════╪════════════╡
│ 00001      ┆ 1912-01-01  ┆ 1986-06-30  ┆ 47.8413  ┆ 8.8493    ┆ 478.0  ┆ Aach       ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00002      ┆ 1951-01-01  ┆ 2006-12-31  ┆ 50.8066  ┆ 6.0996    ┆ 138.0  ┆ Aachen (Kl ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ äranlage)  ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00003      ┆ 1891-01-01  ┆ 2011-03-31  ┆ 50.7827  ┆ 6.0941    ┆ 202.0  ┆ Aachen     ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00004      ┆ 1951-01-01  ┆ 1979-10-31  ┆ 50.7683  ┆ 6.1207    ┆ 243.0  ┆ Aachen-Bra ┆ Nordrhein- │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ nd         ┆ Westfalen  │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 00006      ┆ 1982-11-01  ┆ 2024-02-28  ┆ 48.8361  ┆ 10.0598   ┆ 455.0  ┆ Aalen-Unte ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ rrombach   ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ …          ┆ …           ┆ …           ┆ …        ┆ …         ┆ …      ┆ …          ┆ …          │
│ 19580      ┆ 1975-01-01  ┆ 2005-12-31  ┆ 48.4951  ┆ 9.4003    ┆ 471.0  ┆ Urach      ┆ null       │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19581      ┆ 1941-01-01  ┆ 2005-03-31  ┆ 48.6671  ┆ 8.47      ┆ 600.0  ┆ Enzklöster ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆ le/Schwarz ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆ wald       ┆            │
│ 19582      ┆ 1931-01-01  ┆ 2000-12-31  ┆ 48.1419  ┆ 8.4255    ┆ 754.0  ┆ Königsfeld ┆ Baden-Würt │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆ temberg    │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19602      ┆ 1978-01-01  ┆ 2004-12-31  ┆ 48.7171  ┆ 10.6176   ┆ 446.0  ┆ Bissingen  ┆ null       │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
│ 19631      ┆ 1881-06-01  ┆ 1969-12-19  ┆ 50.8083  ┆ 10.2294   ┆ 268.0  ┆ Salzungen  ┆ Thüringen  │
│            ┆ 00:00:00    ┆ 00:00:00    ┆          ┆           ┆        ┆            ┆            │
│            ┆ UTC         ┆ UTC         ┆          ┆           ┆        ┆            ┆            │
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Mosmix#

Get stations for MOSMIX-SMALL:

In [23]: from wetterdienst import Resolution, Period

In [24]: from wetterdienst.provider.dwd.mosmix import DwdMosmixRequest, DwdMosmixType

In [25]: stations = DwdMosmixRequest(parameter="large", mosmix_type=DwdMosmixType.LARGE)

In [26]: print(stations.all().df.head())
shape: (5, 9)
┌────────────┬─────────┬──────────────┬─────────────┬───┬───────────┬────────┬─────────────┬───────┐
│ station_id ┆ icao_id ┆ start_date   ┆ end_date    ┆ … ┆ longitude ┆ height ┆ name        ┆ state │
│ ---        ┆ ---     ┆ ---          ┆ ---         ┆   ┆ ---       ┆ ---    ┆ ---         ┆ ---   │
│ str        ┆ str     ┆ datetime[μs, ┆ datetime[μs ┆   ┆ f64       ┆ f64    ┆ str         ┆ str   │
│            ┆         ┆ UTC]         ┆ , UTC]      ┆   ┆           ┆        ┆             ┆       │
╞════════════╪═════════╪══════════════╪═════════════╪═══╪═══════════╪════════╪═════════════╪═══════╡
│ 01001      ┆ ENJA    ┆ null         ┆ null        ┆ … ┆ -8.67     ┆ 10.0   ┆ JAN MAYEN   ┆ null  │
│ 01008      ┆ ENSB    ┆ null         ┆ null        ┆ … ┆ 15.47     ┆ 29.0   ┆ SVALBARD    ┆ null  │
│ 01025      ┆ null    ┆ null         ┆ null        ┆ … ┆ 18.92     ┆ 10.0   ┆ TROMSOE     ┆ null  │
│ 01028      ┆ ENBJ    ┆ null         ┆ null        ┆ … ┆ 19.02     ┆ 16.0   ┆ BJORNOYA    ┆ null  │
│ 01049      ┆ ENAT    ┆ null         ┆ null        ┆ … ┆ 23.37     ┆ 3.0    ┆ ALTA        ┆ null  │
│            ┆         ┆              ┆             ┆   ┆           ┆        ┆ LUFTHAVN    ┆       │
└────────────┴─────────┴──────────────┴─────────────┴───┴───────────┴────────┴─────────────┴───────┘

Get data for MOSMIX-LARGE:

In [27]: from wetterdienst import Resolution, Period

In [28]: from wetterdienst.provider.dwd.mosmix import DwdMosmixRequest, DwdMosmixType

In [29]: stations = DwdMosmixRequest(parameter="large", mosmix_type=DwdMosmixType.LARGE).filter_by_station_id(
   ....:     station_id=["01001", "01008"]
   ....: )
   ....: 

In [30]: print(stations.values.all().df.head())
shape: (5, 6)
┌────────────┬─────────┬────────────────────────┬─────────────────────────┬───────┬─────────┐
│ station_id ┆ dataset ┆ parameter              ┆ date                    ┆ value ┆ quality │
│ ---        ┆ ---     ┆ ---                    ┆ ---                     ┆ ---   ┆ ---     │
│ str        ┆ str     ┆ str                    ┆ datetime[μs, UTC]       ┆ f64   ┆ f64     │
╞════════════╪═════════╪════════════════════════╪═════════════════════════╪═══════╪═════════╡
│ 01001      ┆ large   ┆ cloud_cover_above_7_km ┆ 2024-02-29 16:00:00 UTC ┆ 47.0  ┆ null    │
│ 01001      ┆ large   ┆ cloud_cover_above_7_km ┆ 2024-02-29 17:00:00 UTC ┆ 43.0  ┆ null    │
│ 01001      ┆ large   ┆ cloud_cover_above_7_km ┆ 2024-02-29 18:00:00 UTC ┆ 12.0  ┆ null    │
│ 01001      ┆ large   ┆ cloud_cover_above_7_km ┆ 2024-02-29 19:00:00 UTC ┆ null  ┆ null    │
│ 01001      ┆ large   ┆ cloud_cover_above_7_km ┆ 2024-02-29 20:00:00 UTC ┆ null  ┆ null    │
└────────────┴─────────┴────────────────────────┴─────────────────────────┴───────┴─────────┘

Radar#

Sites#

Retrieve information about all OPERA radar sites.

In [31]: from wetterdienst.provider.eumetnet.opera.sites import OperaRadarSites

# Acquire information for all OPERA sites.
In [32]: sites = OperaRadarSites().all()

In [33]: print(f"Number of OPERA radar sites: {len(sites)}")
Number of OPERA radar sites: 205

# Acquire information for a specific OPERA site.
In [34]: site_ukdea = OperaRadarSites().by_odim_code("ukdea")

In [35]: print(site_ukdea)
{'number': 1312, 'country': 'United Kingdom', 'countryid': 'EGRR61', 'oldcountryid': 'UK61', 'wmocode': 3859, 'wigosid': None, 'odimcode': 'ukdea', 'location': 'Dean Hill', 'status': True, 'latitude': 51.0307, 'longitude': -1.6534, 'heightofstation': 155.0, 'band': 'C', 'doppler': True, 'polarization': 'D', 'maxrange': 255, 'startyear': 2005, 'heightantenna': 180.0, 'diametrantenna': 3.66, 'beam': 1.0, 'gain': 43.0, 'frequency': 5.627, 'stratus': None, 'cirusnimbus': None, 'wrwp': None}

Retrieve information about the DWD radar sites.

In [36]: from wetterdienst.provider.dwd.radar.api import DwdRadarSites

# Acquire information for a specific site.
In [37]: site_asb = DwdRadarSites().by_odim_code("ASB")

In [38]: print(site_asb)
{'number': 1389, 'country': 'Germany', 'countryid': 'EDZW40', 'oldcountryid': 'DL40', 'wmocode': 10103, 'wigosid': None, 'odimcode': 'deasb', 'location': 'Isle of Borkum', 'status': True, 'latitude': 53.564, 'longitude': 6.7482, 'heightofstation': 4.0, 'band': 'C', 'doppler': True, 'polarization': 'S', 'maxrange': 180, 'startyear': 2018, 'heightantenna': 36.2, 'diametrantenna': 2.4, 'beam': 1.57, 'gain': 41.55, 'frequency': 5.64, 'stratus': None, 'cirusnimbus': None, 'wrwp': None}

Data#

To use DWDRadarRequest, you have to provide a RadarParameter, which designates the type of radar data you want to obtain. There is radar data available at different locations within the DWD data repository:

For RADOLAN_CDC-data, the time resolution parameter (either hourly or daily) must be specified.

The date_times (list of datetimes or strings) or a start_date and end_date parameters can optionally be specified to obtain data from specific points in time.

For RADOLAN_CDC-data, datetimes are rounded to HH:50min, as the data is packaged for this minute step.

This is an example on how to acquire RADOLAN_CDC data using wetterdienst and process it using wradlib.

For more examples, please have a look at examples/radar/.

from wetterdienst.provider.dwd.radar import DwdRadarValues, DwdRadarParameter, DwdRadarResolution
import wradlib as wrl

radar = DwdRadarValues(
    radar_parameter=DwdRadarParameter.RADOLAN_CDC,
    resolution=DwdRadarResolution.DAILY,
    start_date="2020-09-04T12:00:00",
    end_date="2020-09-04T12:00:00"
)

for item in radar.query():

    # Decode item.
    timestamp, buffer = item

    # Decode data using wradlib.
    data, attributes = wrl.io.read_radolan_composite(buffer)

    # Do something with the data (numpy.ndarray) here.