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
Viewed
Total article views: 5,794 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Jun 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,548 | 1,135 | 111 | 5,794 | 147 | 167 |
- HTML: 4,548
- PDF: 1,135
- XML: 111
- Total: 5,794
- BibTeX: 147
- EndNote: 167
Total article views: 5,150 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Oct 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,241 | 817 | 92 | 5,150 | 121 | 141 |
- HTML: 4,241
- PDF: 817
- XML: 92
- Total: 5,150
- BibTeX: 121
- EndNote: 141
Total article views: 644 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Jun 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 307 | 318 | 19 | 644 | 26 | 26 |
- HTML: 307
- PDF: 318
- XML: 19
- Total: 644
- BibTeX: 26
- EndNote: 26
Viewed (geographical distribution)
Total article views: 5,794 (including HTML, PDF, and XML)
Thereof 5,794 with geography defined
and 0 with unknown origin.
Total article views: 5,150 (including HTML, PDF, and XML)
Thereof 5,150 with geography defined
and 0 with unknown origin.
Total article views: 644 (including HTML, PDF, and XML)
Thereof 599 with geography defined
and 45 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
11 citations as recorded by crossref.
- 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
- 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
- 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
- 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
- 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
- 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
11 citations as recorded by crossref.
- 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
- 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
- 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
- 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
- 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
- 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
Saved (final revised paper)
Latest update: 03 Jul 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...
