Articles | Volume 13, issue 10
https://doi.org/10.5194/amt-13-5595-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-5595-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Oct 2020
Research article |
| 22 Oct 2020
| 22 Oct 2020
Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements
Ilona Ylivinkka
CORRESPONDING AUTHOR
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
SMEAR II station, University of Helsinki, 35500 Korkeakoski, Finland
Santeri Kaupinmäki
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
current address: Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom
Meri Virman
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Maija Peltola
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Ditte Taipale
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
SMEAR II station, University of Helsinki, 35500 Korkeakoski, Finland
Tuukka Petäjä
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Veli-Matti Kerminen
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Markku Kulmala
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Ekaterina Ezhova
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
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Cited
13 citations as recorded by crossref.
- Plant response to UV radiation in diffuse sunlight S. Neimane-Šroma et al. https://doi.org/10.1016/j.agrformet.2026.111349
- Opinion: The strength of long-term comprehensive observations to meet multiple grand challenges in different environments and in the atmosphere M. Kulmala et al. https://doi.org/10.5194/acp-23-14949-2023
- Machine learning based aerosol classification over South and East Asia using MODIS top of atmosphere reflectance and AERONET-derived clusters: A remote sensing approach M. Awais & L. Wang https://doi.org/10.1016/j.envres.2025.123315
- Thermal impacts of large-scale cool pavement: Field results and methodological insights for urban climate studies A. Sedaghat et al. https://doi.org/10.1016/j.uclim.2026.102971
- Organic aerosol enhances boreal forest photosynthesis under cumulus clouds E. Ezhova et al. https://doi.org/10.1038/s43247-025-02539-z
- Boundary-layer height and surface stability at Hyytiälä, Finland, in ERA5 and observations V. Sinclair et al. https://doi.org/10.5194/amt-15-3075-2022
- Cloud response to co-condensation of water and organic vapors over the boreal forest L. Heikkinen et al. https://doi.org/10.5194/acp-24-5117-2024
- A review and comparative study of spectral correction models for photovoltaic performance under different atmospheric regimes and PV technologies J. Liu et al. https://doi.org/10.1016/j.rser.2026.117513
- Beyond cloud cover: Low- and high-altitude clouds have distinct impacts on tree sap flow and transpiration S. Talvinen et al. https://doi.org/10.1016/j.agrformet.2026.111182
- Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey Y. Nie et al. https://doi.org/10.1016/j.rser.2023.113977
- The impact of cloudiness and cloud type on the atmospheric heating rate of black and brown carbon in the Po Valley L. Ferrero et al. https://doi.org/10.5194/acp-21-4869-2021
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. https://doi.org/10.5194/acp-22-4413-2022
- Dynamics of aerosol, humidity, and clouds in air masses travelling over Fennoscandian boreal forests M. Räty et al. https://doi.org/10.5194/acp-23-3779-2023
13 citations as recorded by crossref.
- Plant response to UV radiation in diffuse sunlight S. Neimane-Šroma et al. https://doi.org/10.1016/j.agrformet.2026.111349
- Opinion: The strength of long-term comprehensive observations to meet multiple grand challenges in different environments and in the atmosphere M. Kulmala et al. https://doi.org/10.5194/acp-23-14949-2023
- Machine learning based aerosol classification over South and East Asia using MODIS top of atmosphere reflectance and AERONET-derived clusters: A remote sensing approach M. Awais & L. Wang https://doi.org/10.1016/j.envres.2025.123315
- Thermal impacts of large-scale cool pavement: Field results and methodological insights for urban climate studies A. Sedaghat et al. https://doi.org/10.1016/j.uclim.2026.102971
- Organic aerosol enhances boreal forest photosynthesis under cumulus clouds E. Ezhova et al. https://doi.org/10.1038/s43247-025-02539-z
- Boundary-layer height and surface stability at Hyytiälä, Finland, in ERA5 and observations V. Sinclair et al. https://doi.org/10.5194/amt-15-3075-2022
- Cloud response to co-condensation of water and organic vapors over the boreal forest L. Heikkinen et al. https://doi.org/10.5194/acp-24-5117-2024
- A review and comparative study of spectral correction models for photovoltaic performance under different atmospheric regimes and PV technologies J. Liu et al. https://doi.org/10.1016/j.rser.2026.117513
- Beyond cloud cover: Low- and high-altitude clouds have distinct impacts on tree sap flow and transpiration S. Talvinen et al. https://doi.org/10.1016/j.agrformet.2026.111182
- Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey Y. Nie et al. https://doi.org/10.1016/j.rser.2023.113977
- The impact of cloudiness and cloud type on the atmospheric heating rate of black and brown carbon in the Po Valley L. Ferrero et al. https://doi.org/10.5194/acp-21-4869-2021
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. https://doi.org/10.5194/acp-22-4413-2022
- Dynamics of aerosol, humidity, and clouds in air masses travelling over Fennoscandian boreal forests M. Räty et al. https://doi.org/10.5194/acp-23-3779-2023
Saved (final revised paper)
Latest update: 11 Oct 2026
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.
In this study, we developed a new algorithm for cloud classification using solar radiation and...
