Co-Authorship in Journal Article

Category: Collaborated Works

In the article Py4CAtS—PYthon for Computational ATmospheric Spectroscopy we present a Python tool for line-by-line modeling of infrared atmospheric radiative transfer. It was published in the peer-reviewed open access journal Atmosphere (by MDPI), and belongs to the Special Issue Radiative Transfer Models of Atmospheric and Cloud Properties.

The software is free and the package can be downloaded via https://atmos.eoc.dlr.de/tools/Py4CAtS/ - you can redistribute it and/or modify
it under the terms of the GNU General Public License (details see license.txt).