v1.0.0-DeepSpectralRetrieval

This repository contains the codes for the deep learning based retrieval of snowfall microphysics from dual-frequency radar measurements.
This release has been made after the paper amt-2022-199 has been accepted.
The algorithm is described in detail in the paper:

Billault-Roux, A.-C., Ghiggi, G., Jaffeux, L., Martini, A., Viltard, N., and Berne, A.: Dual-frequency spectral radar retrieval of snowfall microphysics: a physically constrained deep learning approach, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2022-199, in review, 2022
If you use the library in your scientific work, please remember to cite it.

A manual detailing the content of the repository is available in the README file included in the github page.