Articles | Volume 18, issue 21
https://doi.org/10.5194/amt-18-6361-2025
https://doi.org/10.5194/amt-18-6361-2025
Research article
 | 
10 Nov 2025
Research article |  | 10 Nov 2025

An autonomous cloud detection algorithm using single ground-based infrared radiometer for the Tibetan Plateau

Linjun Pan, Yinan Wang, and Yongheng Bi

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Cited articles

Ahn, M.-H., Han, D., Won, H. Y., and Morris, V.: A cloud detection algorithm using the downwelling infrared radiance measured by an infrared pyrometer of the ground-based microwave radiometer, Atmos. Meas. Tech., 8, 553–566, https://doi.org/10.5194/amt-8-553-2015, 2015. 
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Bo, Y., Wang, Y., Li, J., and Wang, C.: Temporal and spatial variation features of cloud water and its relation to precipitation over the Tibetan Plateau, J. Glaciol. Geocryol., 38, 1679–1690, https://doi.org/10.7522/j.issn.1000-0240.2016.0195, 2016. 
Brocard, E., Schneebeli, M., and Matzlelr, C.: Detection of cirrus clouds using infrared radiometery, IEEE T. Geosci. Remote, 49, 595–602, https://doi.org/10.1109/TGRS.2010.2063033, 2010 
Cadeddu, M. P. and Turner, D. D.: Evaluation of water permittivity models from ground-based observations of cold clouds at frequencies between 23 and 170 GHz, IEEE T. Geosci. Remote, 49, 2999–3008, https://doi.org/10.1109/TGRS.2011.2121074, 2011. 
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Short summary
Ground-based infrared radiometers provide low-cost cloud monitoring. Existing methods require supporting data from other instruments – making them unusable in remote regions like the Tibetan Plateau. Our innovation enables fully independent cloud identification using only the radiometer's data. This self-contained solution eliminates dependencies on external equipment or historical datasets, providing a practical cloud monitoring method for isolated sites where conventional approaches fail.
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