Articles | Volume 13, issue 10
https://doi.org/10.5194/amt-13-5595-2020
https://doi.org/10.5194/amt-13-5595-2020
Research article
 | 
22 Oct 2020
Research article |  | 22 Oct 2020

Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements

Ilona Ylivinkka, Santeri Kaupinmäki, Meri Virman, Maija Peltola, Ditte Taipale, Tuukka Petäjä, Veli-Matti Kerminen, Markku Kulmala, and Ekaterina Ezhova

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Cited articles

AERONET: AERONET Data Download Tool, available at: https://aeronet.gsfc.nasa.gov/cgi-bin/webtool_opera_v2_new?stage=3&region=Europe&state=Finland&site=Hyytiala&place_code=10, last access: 21 October 2020. a
Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, 1989. a
ARM: ARM Data search, available at: https://adc.arm.gov/discovery/#/results/site_code::tmp, last access: 21 October 2020. a
Atkinson, R. and Arey, J.: Gas-phase tropospheric chemistry of biogenic volatile organic compounds: a review, Atmos. Environ., 37, 197–219, 2003. a
Bankert, R. L. and Wade, R. H.: Optimization of an instance-based GOES cloud classification algorithm, J. Appl. Meteorol. Clim., 46, 36–49, 2007. a, b
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Short summary
In this study, we developed a new algorithm for cloud classification using solar radiation and cloud base height measurements. Our objective was to develop a simple and inexpensive but effective algorithm for the needs of studies related to ecosystem and atmosphere interactions. In the present study, we used the algorithm for obtaining cloud statistics at a measurement station in southern Finland, and we discuss the advantages and shortcomings of the algorithm.