Python implementation of the atmospheric permissivity model in X-band as described in:
Xueyang Duan, Mahta Moghaddam, Daniel Wenkert, Rolando L. Jordan, and Suzanne E. Smrekar. "X Band Model of Venus Atmosphere Permittivity." Radio Science 45, no. 2 (2010). https://doi.org/10.1029/2009RS004169.
A paper describing this code's motivation and implementation is in preparation for JOSS, see the current draft.
A user guide and API documentation is hosted on GitHub and the DLR-hosted Gitlab (DLR account required).
The documentation als includes installation instructions (GitHub, Gitlab).
See this notebook rendered in the documentation (GitHub, Gitlab).
DLR is grateful to Jessie Duan at JPL for making available the source code of her reference implementation of her paper, and assisting with any questions that came up during the development of this package.
Furthermore, we want to thank all the authors who published their (reprocessed) datasets of various aspects of Venus atmospheric research, be that in-situ, remote sensing, or laboratory based. A full list can be found in the bibliography (GitHub, Gitlab) as well as the Python modules (GitHub, Gitlab) providing access to the data.
We welcome all kinds of contributions: coding improvements, clarification questions, and feedback from the scientific community on the modeling approach as well as the data sources used. Please use the issue tracker or contact the author directly at tobias.koehne@dlr.de.