Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5549-2018
https://doi.org/10.5194/amt-11-5549-2018
Research article
 | 
12 Oct 2018
Research article |  | 12 Oct 2018

Cloud fraction determined by thermal infrared and visible all-sky cameras

Christine Aebi, Julian Gröbner, and Niklaus Kämpfer

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Cited articles

Ackerman, S. A., Holz, R. E., Frey, R., Eloranta, E. W., Maddux, B. C., and McGill, M.: Cloud Detection with MODIS. Part II: Validation, J. Atmos. Ocean. Tech., 25, 1073–1086, https://doi.org/10.1175/2007JTECHA1053.1, 2008. a, b
Aebi, C., Gröbner, J., Soder, R., Schlatter, P., and Dürig, F.: Development of thermal infrared cloud camera (IRCCAM), Annual Report, PMOD/WRC, 2014. a
Aebi, C., Gröbner, J., Kämpfer, N., and Vuilleumier, L.: Cloud radiative effect, cloud fraction and cloud type at two stations in Switzerland using hemispherical sky cameras, Atmos. Meas. Tech., 10, 4587–4600, https://doi.org/10.5194/amt-10-4587-2017, 2017. a, b, c, d, e
Baum, B. A. and Platnick, S.: Introduction to MODIS Cloud Products, in: Earth Science Satellite Remote Sensing, Springer, Berlin, Heidelberg, 2006. a
Berger, L., Besnard, T., Genkova, I., Gillotay, D., Long, C., Zanghi, F., Deslondes, J. P., and Perdereau, G.: Image comparison from two cloud cover sensor in infrared and visible spectral regions, in: 21st International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, available at: https://ams.confex.com/ams/Annual2005/techprogram/paper_83438.htm (last access: 22 September 2018), 2005. a
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Short summary
A newly developed hemispherical thermal infrared cloud camera (IRCCAM) is presented. The IRCCAM allows automatic cloud detection during the day and at night-time. The cloud fraction determined from the IRCCAM is compared with the cloud fraction determined from other instruments over a time period of 2 years. The IRCCAM has an agreement of +/- 2 oktas cloud fraction in 90 % of the data compared to other instruments. There are no significant differences between seasons or different times of day.