Reading BUFR files¶

Information about BUFR at ECMWF inside ECCODES

install via

pip install --user pdbufr

or install the newest version

pip install --user git+https://github.com/ecmwf/pdbufr.git

it has eccodes as dependency

In [1]:

import pdbufr

import pdbufr

In [2]:

pdbufr.__version__

pdbufr.__version__

Out[2]:

'0.11.0'

In [3]:

SYNOP_BUFR_FILE = '/data/boden/BUFR/2022/01/31/ISMD12_LOWM.311200'

SYNOP_BUFR_FILE = '/data/boden/BUFR/2022/01/31/ISMD12_LOWM.311200'

In [4]:

keys = ['blockNumber', 
         'stationNumber', 
         'latitude', 
         'longitude', 
         'airTemperature', 
         'heightOfStationGroundAboveMeanSeaLevel',
         'dewpointTemperature', 
         'windSpeed', 
         'windDirection', 
         'WMO_station_id',
         'cloudType',
        ]
df_all = pdbufr.read_bufr(SYNOP_BUFR_FILE, columns=keys)

keys = ['blockNumber', 'stationNumber', 'latitude', 'longitude', 'airTemperature', 'heightOfStationGroundAboveMeanSeaLevel', 'dewpointTemperature', 'windSpeed', 'windDirection', 'WMO_station_id', 'cloudType', ] df_all = pdbufr.read_bufr(SYNOP_BUFR_FILE, columns=keys)

In [5]:

display(df_all)

display(df_all)

	blockNumber	stationNumber	latitude	longitude	heightOfStationGroundAboveMeanSeaLevel	airTemperature	dewpointTemperature	cloudType	windDirection	windSpeed	WMO_station_id
0	11	8	48.56972	13.99417	597.0	273.35	272.95	NaN	260	5.0	11008
1	11	20	48.61778	15.20361	502.0	276.25	271.55	NaN	240	4.0	11020
2	11	21	48.95472	15.03833	558.0	274.45	272.05	NaN	270	1.0	11021
3	11	32	48.66917	16.63750	198.0	277.35	271.75	NaN	230	4.0	11032
4	11	72	47.94917	16.82889	117.0	276.25	270.45	NaN	190	2.0	11072
5	11	78	48.02806	15.58750	696.0	273.45	272.75	NaN	210	6.0	11078
6	11	119	47.32472	11.17556	1182.0	272.85	271.95	NaN	100	1.0	11119
7	11	129	47.00722	11.51083	1412.0	273.15	268.25	NaN	280	2.0	11129
8	11	138	47.13500	12.62583	2317.0	264.65	262.25	NaN	170	1.0	11138
9	11	140	47.58445	12.69528	622.0	273.55	272.65	NaN	330	1.0	11140
10	11	141	47.40667	13.22111	550.0	272.35	270.55	NaN	320	2.0	11141
11	11	161	47.52167	14.95417	1215.0	270.95	268.15	NaN	340	3.0	11161
12	11	170	47.85444	15.06750	612.0	274.15	272.65	NaN	30	1.0	11170
13	11	182	47.83222	16.23139	275.0	277.15	270.55	3.0	0	2.0	11182
14	11	192	47.20750	16.33556	265.0	274.45	270.15	NaN	230	1.0	11192
15	11	201	46.74639	12.42361	1081.0	276.05	261.85	NaN	130	1.0	11201
16	11	213	46.61806	13.87389	493.0	274.95	266.45	NaN	100	1.0	11213
17	11	214	46.93806	14.91500	1034.0	274.55	265.05	NaN	270	3.0	11214
18	11	225	46.84917	14.19083	704.0	275.05	264.85	NaN	130	1.0	11225
19	11	241	47.19861	15.46639	1443.0	270.85	263.55	NaN	320	5.0	11241
20	11	274	47.37833	15.08667	544.0	277.35	268.35	NaN	170	1.0	11274

Reading Radiosonde information¶

In [33]:

df = pdbufr.read_bufr('/data/raso/BUFR/2022/01/31/IUSD04_LOWM.310300',
                          columns=('stationNumber', 'data_datetime', 'pressure', 'airTemperature', 'dewpointTemperature','windDirection', 'windSpeed', 
                                   'nonCoordinateGeopotentialHeight', 'timePeriod', 'longitude', 'latitude', 'height'),
                         )

df = pdbufr.read_bufr('/data/raso/BUFR/2022/01/31/IUSD04_LOWM.310300', columns=('stationNumber', 'data_datetime', 'pressure', 'airTemperature', 'dewpointTemperature','windDirection', 'windSpeed', 'nonCoordinateGeopotentialHeight', 'timePeriod', 'longitude', 'latitude', 'height'), )

In [34]:

display(df)

display(df)

	stationNumber	latitude	longitude	height	timePeriod	pressure	nonCoordinateGeopotentialHeight	airTemperature	dewpointTemperature	windDirection	windSpeed	data_datetime
0	240	46.99396	15.44706	338	NaN	100000.0	140	NaN	NaN	NaN	NaN	2022-01-31 03:15:11
1	240	46.99396	15.44706	338	0.0	97590.0	338	268.45	265.37	140.0	1.5	2022-01-31 03:15:11
2	240	46.99396	15.44706	338	1.0	97460.0	349	271.66	266.31	231.0	0.5	2022-01-31 03:15:11
3	240	46.99396	15.44706	338	2.0	97410.0	353	272.38	266.65	273.0	0.9	2022-01-31 03:15:11
4	240	46.99396	15.44706	338	3.0	97350.0	358	272.69	266.59	278.0	1.1	2022-01-31 03:15:11
...	...	...	...	...	...	...	...	...	...	...	...	...
3864	240	46.99396	15.44706	338	4442.0	3530.0	22376	210.84	183.63	258.0	18.0	2022-01-31 03:15:11
3865	240	46.99396	15.44706	338	4445.0	3520.0	22393	210.72	183.51	258.0	17.9	2022-01-31 03:15:11
3866	240	46.99396	15.44706	338	4448.0	3510.0	22411	210.58	183.39	258.0	17.8	2022-01-31 03:15:11
3867	240	46.99396	15.44706	338	4451.0	3500.0	22427	210.50	183.34	258.0	17.7	2022-01-31 03:15:11
3868	240	46.99396	15.44706	338	4624.0	3000.0	23386	NaN	NaN	NaN	NaN	2022-01-31 03:15:11

3869 rows × 12 columns

In [ ]:

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Last update: February 29, 2024
Created: February 29, 2024