Measurements of clouds’ physical and optical characteristics are essential to understanding their role in atmospheric radiative transfer and climate studies. Nowadays, datasets from ground and satellite measurements need integration to have a common ground on how different approaches complement each other. This session invites papers that provide results from radar, lidar, satellite, cameras, scientific campaigns, etc., and networking efforts dealing with cloud measurements. This session convenes researchers to discuss innovative algorithms and methodologies currently applied to cloud measurements, results, and implications, to initiate possible collaborations among scientists. Topics include
1. Long-term measurements and monitoring of clouds from satellite and ground instruments;
2. Cloud classifications (results, algorithms, etc.);
3. Cloud detection algorithms;
4. Multi-sensor cloud measurements;
5. Spectroscopic measurements of clouds;
6. Machine learning algorithms for cloud detection and classification;