PC-CORA sounding data files parser for Python
PC-CORA parser for Python. Supports the format described at https://badc.nerc.ac.uk/data/ukmo-rad-hires/pc-coradata.html (accessed at 2015-12-05).
This format is used for radiosonde data.
A radiosonde (Sonde is French and German for probe) is a battery-powered telemetry instrument package carried into the atmosphere usually by a weather balloon that measures various atmospheric parameters and transmits them by radio to a ground receiver. (Wikipedia)
This format is produced by old Vaisala equipments. Newer data is probably available in the NetCDF.
I was asked by a co-worker to look at some Python code with a PC-CORA parser. This co-worker also needed further analysis and processing, involving some data being created as CSV, netCDF, or plotted.
This way we could use it in scripts, or other internal applications. And it would also be easier for others to find it and re-use.
The code in this repository was used on a Doctoral Thesis published in 2018, about radiosonde, GCOS, radio occultation, and weather prediction.
>>> from pccora import PCCORAParser >>> pccora_parser = PCCORAParser() >>> pccora_parser.parse_file('./123456789.EDT') >>> print(pccora_parser.get_header()) >>> print(pccora_parser.get_identification()) >>> print(pccora_parser.get_data())
There are datasets available at the CEDA website (Centre for Environmental Data Archival), however, access is restricted.
NOAA’s ESRL (Earth System Research Laboratory) has an FTP server with some data in the the old PC-CORA sounding data format. Just search for FTP for instructions on how to access the Physical Sciences Division FTP server. Some valid files can be found at /psd3/cruises/AERO_1999/RHB/balloon/Raw (accessed 2016-01-17).
Python 3.6 or superior, and the construct library are the minimum requirements.
pip install pccora
Or, to use the bleeding edge version, git clone this repository, and have a look at the scripts folders for an example how to use the module from within a local folder. You may have to uninstall the pip module first.
python setup.py install
The PYPI URL is https://pypi.python.org/pypi/pccora.
Licensed under the MIT License.
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