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https://github.com/kinow/pccora

PC-CORA parser for Python
https://github.com/kinow/pccora

atmosphere pccora radiosonde sounding-file vaisala

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PC-CORA parser for Python

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PCCORA
======

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1163385.svg
:target: https://doi.org/10.5281/zenodo.1163385

.. image:: https://travis-ci.org/kinow/pccora.svg?branch=master
:target: https://travis-ci.org/kinow/pccora

.. image:: https://coveralls.io/repos/github/kinow/pccora/badge.svg?branch=master
:target: https://coveralls.io/github/kinow/pccora?branch=master

PC-CORA parser for Python. Supports the format described at ``_ (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.

History
-------

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.

I decided to write a module for PC-CORA inspired by the
`original script `_,
but using Python3, OO, and packaging as a Python package to be distributed
to the `PYPI `_.

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.

Example
-------

>>> 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())

Obtaining 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).

Requirements
------------

Python 3.6 or superior, and the `construct library
`_ are the minimum requirements.

Installation
------------

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 ``_.

License
-------

Licensed under the MIT License.