Articles | Volume 19, issue 6
https://doi.org/10.5194/amt-19-2079-2026
https://doi.org/10.5194/amt-19-2079-2026
Research article
 | 
26 Mar 2026
Research article |  | 26 Mar 2026

Long-term cloud characterization at the AGORA ACTRIS-CCRES station using a novel classification algorithm

Matheus Tolentino, Juan Antonio Bravo-Aranda, Juan Luis Guerrero-Rascado, Francisco Navas-Guzmán, Daniel Pérez-Ramírez, Lucas Alados-Arboledas, and Maria José Granados-Muñoz

Model code and software

matheustolentino/cloud-statistics: Cloud Statistics v1.0.0 – Initial public release (v1.0.0) Matheus Tolentino da Silva https://doi.org/10.5281/zenodo.19090893

Download
Short summary
Clouds strongly influence weather and climate, yet long-term observations are rare in southern Europe. We analyzed five years of measurements in Granada, Spain, to study how different cloud types vary through the seasons. We developed a new method that improves cloud classification and found clear differences in height, thickness, and water content. These results provide valuable reference data to support satellite observations and climate models.
Share