Cloudnetpy sometime retrieves droplet effetive radius of 0.0005m in liquid layers. For exmaple, here the droplet effective radius for Jülich on 1 Mai 2023:
the dark red pixels at the base of the stratus until 4 UTC (also later).
This is likely an issue with missing cloud radar values. If the cloud radar detected the liquid layer but the identified liquid layer extends the valid cloud radar pixels (either at cloud top or at cloud base) the droplet effective radius is set to 0.0005m for those pixels where no cloud radar data is available. This only happens if there is any valid cloud radar pixel inside the liquid layer. If the liquid layer is missed by the cloud radar, not droplet effetive radius is calculated.
Cloudnetpy sometime retrieves droplet effetive radius of 0.0005m in liquid layers. For exmaple, here the droplet effective radius for Jülich on 1 Mai 2023:
the dark red pixels at the base of the stratus until 4 UTC (also later).
This is likely an issue with missing cloud radar values. If the cloud radar detected the liquid layer but the identified liquid layer extends the valid cloud radar pixels (either at cloud top or at cloud base) the droplet effective radius is set to 0.0005m for those pixels where no cloud radar data is available. This only happens if there is any valid cloud radar pixel inside the liquid layer. If the liquid layer is missed by the cloud radar, not droplet effetive radius is calculated.