Credits ======= The `snowScatt `_ package is a project of the `OPTIMICe `_ research group at the Institute of Geophysics and Meteorology of the University of Cologne, Germany `IGMK `_. OPTIMICe is funded by the German Science Foundation **DFG** through the `Emmy Noether `_ program. The OPTIMICe team is lead by `Dr Stefan Kneifel `_ who gave the initial motivation for the development of snowScatt and initiated the application of SSRGA to radar remote sensing. The lead developer of snowScatt is `Dr Davide Ori `_ with the support of `Leonie von Terzi `_ and `Markus Karrer `_ The snowScatt project wouldn't have been possible without the studies on Self-Similar Rayleigh-Gans of Dr. Robin Hogan, Dr. Chris Westbrook and co-authors [Hogan2017]_ [Hogan2014]_ We also thank Dr. Robin Hogan for making a public reference implementation of the `SSRGA algorithm `_ Cite this code ************** To cite this code please use the following reference publication [Ori2021]_ REFERENCE TO THE GMDD PUBLICATION References ********** .. [Ori2021] Ori snowScatt .. [Hogan2017] Hogan, R.J., Honeyager, R., Tyynelä, J. and Kneifel, S. (2017), Calculating the millimetre‐wave scattering phase function of snowflakes using the self‐similar Rayleigh–Gans Approximation. Q.J.R. Meteorol. Soc., 143: 834-844. `doi:10.1002/qj.2968 `_ .. [Hogan2014] Hogan, R. J., and C. D. Westbrook, 2014: Equation for the Microwave Backscatter Cross Section of Aggregate Snowflakes Using the Self-Similar Rayleigh–Gans Approximation. J. Atmos. Sci., 71, 3292–3301, ``_.