pyrtlib.apiwebservices.IGRAUpperAir.request_data#

classmethod IGRAUpperAir.request_data(time: datetime, site_id: str, beg2021: Optional[bool] = False, derived: Optional[bool] = False) → Tuple[DataFrame, DataFrame]#

Retreive IGRA version 2 data files contain the full period of record.

Parameters:

  • time (datetime) – The date and time of the desired observation. If list of two times is given, dataframes for all dates within the two dates will be returned.

  • site_id (str) – 11-character IGRA2 station identifier.

  • beg2021 (Optional[bool], optional) – If True retrieve files of derived sounding parameters. Defaults to False.

  • derived (Optional[bool], optional) – If True retrieve files only contain soundings from the current (or current and previous) year. Defaults to False.

Returns:

A dataframe containing the data and header information.

Return type:

Tuple[pandas.DataFrame, pandas.DataFrame]

Note

Variables name and units information are reported within the attribute units of the returned dataframe (see example below).

Example

>>> from pyrtlib.apiwebservices import IGRAUpperAir
>>> from datetime import datetime
>>> date = datetime(2022, 6, 22, 12)
>>> station = 'SPM00060018'
>>> df, header = IGRAUpperAir.request_data(date, station)
>>> df.attrs['units']
{'etime': 'second',
 'pressure': 'hPa',
 'height': 'meter',
 'temperature': 'degC',
 'dewpoint': 'degC',
 'direction': 'degrees',
 'speed': 'meter / second',
 'u_wind': 'meter / second',
 'v_wind': 'meter / second'}

Examples using pyrtlib.apiwebservices.IGRAUpperAir.request_data#

Performing Upwelling Brightness Temperature calculation using IGRA2 Upper Air Observations (with Extrapolation).

Performing Upwelling Brightness Temperature calculation using IGRA2 Upper Air Observations (with Extrapolation).
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