Articles | Volume 19, issue 3
https://doi.org/10.5194/acp-19-1985-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-1985-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Feb 2019
Research article |
| 14 Feb 2019
| 14 Feb 2019
Evaluating solar radiation forecast uncertainty
Minttu Tuononen
CORRESPONDING AUTHOR
Finnish Meteorological Institute, Helsinki, Finland
Ewan J. O'Connor
Finnish Meteorological Institute, Helsinki, Finland
Department of Meteorology, University of Reading, Reading, UK
Victoria A. Sinclair
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, Helsinki, Finland
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- CloudnetPy: A Python package for processing cloud remote sensing data S. Tukiainen et al. 10.21105/joss.02123
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- Towards the profiling of the atmospheric boundary layer at European scale—introducing the COST Action PROBE D. Cimini et al. 10.1007/s42865-020-00003-8
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- Solar parking lot management: An IoT platform for smart charging EV fleets, using real-time data and production forecasts A. Varone et al. 10.1016/j.rser.2023.113845
- The use of satellite and surface observations for initializing clouds in the HARMONIE NWP model E. Gregow et al. 10.1002/met.1965
- Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory J. Roschke et al. 10.5194/amt-18-487-2025
- How Efficient Is Model-to-Model Data Assimilation at Mitigating Atmospheric Forcing Errors in a Regional Ocean Model? G. Shapiro & M. Salim 10.3390/jmse11050935
- Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. 10.3390/atmos14121769
- Control strategies for agricultural photovoltaic systems: Balancing electricity generation and agricultural yield for sustainable development B. Tian et al. 10.1016/j.solener.2025.113270
- On the Land-Sea Contrast in the Surface Solar Radiation (SSR) in the Baltic Region A. Lindfors et al. 10.3390/rs12213509
- Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations C. Brester et al. 10.1016/j.renene.2023.02.130
- Comparison of irradiance forecasts from operational NWP model and satellite‐based estimates over Fennoscandia V. Kallio‐Myers et al. 10.1002/met.2051
- Non-contact piezoelectric–electromagnetic hybrid generator for hydrological monitoring systems L. Li et al. 10.1039/D4SE01494D
- Evaluating atmospheric icing forecasts with ground‐based ceilometer profiles K. Hämäläinen et al. 10.1002/met.1964
Latest update: 03 Jul 2025
Short summary
Many applications require accurate forecasts of the amount of solar radiation reaching the surface, such as solar energy and UV radiation forecasts. This also means that cloud must be correctly forecast. We investigated the skill of these forecasts over Helsinki, Finland, using cloud and solar radiation observations. We found that there were errors in the model radiation forecast even when the clouds were correctly forecast, which we attribute to incorrect representation of the cloud properties.
Many applications require accurate forecasts of the amount of solar radiation reaching the...
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