Articles | Volume 19, issue 17
https://doi.org/10.5194/amt-19-5785-2026
https://doi.org/10.5194/amt-19-5785-2026
Research article
 | 
14 Sep 2026
Research article |  | 14 Sep 2026

Cloud height mapping using multi simultaneous sky images from an all-sky camera network

Celia Herrero del Barrio, Roberto Román, Sara Herrero-Anta, Daniel González-Fernández, Rogelio Carracedo, Ramiro González, Javier Gatón, Bruno Longarela, Juan Carlos Antuña-Sánchez, David Mateos, Carlos Toledano, Abel Calle, Victoria Cachorro, and Ángel de Frutos

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Cited articles

Antuña-Sánchez, J. C., Román, R., Bosch, J., Toledano, C., Mateos, D., González, R., Cachorro, V. E., and de Frutos, A. M.: ORION software tool for the geometrical calibration of all-sky cameras, PLoS One, 17, https://doi.org/10.1371/journal.pone.0265959, 2022. a, b, c
Arbizu-Barrena, C., Pozo-Vázquez, D., Ruiz-Arias, J. A., and Tovar-Pescador, J.: Macroscopic cloud properties in the WRF NWP model: an assessment using sky camera and ceilometer data, J. Geophys. Res.-Atmos., 120, 10,297–10,312, https://doi.org/10.1002/2015JD023502, 2015. a
Aybar, C., Ysuhuaylas, L., Loja, J., Gonzales, K., Herrera, F., Bautista, L., Yali, R., Flores, A., Diaz, L., Cuenca, N., Espinoza, W., Prudencio, F., Llactayo, V., Montero, D., Sudmanns, M., Tiede, D., Mateo-García, G., and Gómez-Chova, L.: CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2, Scientific Data, 9, 782, https://doi.org/10.1038/s41597-022-01878-2, 2022. a
Beekmans, C., Schneider, J., Läbe, T., Lennefer, M., Stachniss, C., and Simmer, C.: Cloud photogrammetry with dense stereo for fisheye cameras, Atmos. Chem. Phys., 16, 14231–14248, https://doi.org/10.5194/acp-16-14231-2016, 2016. a
Bennouna, Y., Cachorro, V., Torres, B., Toledano, C., Berjón, A., de Frutos, A., and Alonso Fernández Coppel, I.: Atmospheric turbidity determined by the annual cycle of the aerosol optical depth over north-center Spain from ground (AERONET) and satellite (MODIS), Atmos. Environ., 67, 352–364, https://doi.org/10.1016/j.atmosenv.2012.10.065, 2013. a
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Short summary
This work presents an automated method to create cloud height maps in near real time using a network of 20 ground-based sky cameras in Valladolid, Spain. By comparing simultaneous images from different locations, the system estimates cloud base and top heights every few minutes over a large area with 50 m resolution. The results agree well with satellite and ceilometer measurements, showing that low-cost camera networks can improve continuous cloud monitoring for weather and climate studies.
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