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.
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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Cited
15 citations as recorded by crossref.
- Observed and modelled cloud cover up to 6 km height at Station Nord in the high Arctic S. Gryning et al. 10.1002/joc.6894
- Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals A. Guyot et al. 10.5194/amt-15-3663-2022
- Comparison of Satellite-Based and Ångström–Prescott Estimated Global Horizontal Irradiance under Different Cloud Cover Conditions in South African Locations B. Mabasa et al. 10.3390/solar2030021
- 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
- Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks W. Schimmel et al. 10.5194/amt-15-5343-2022
- Life cycle of stratocumulus clouds over 1 year at the coast of the Atacama Desert J. Schween et al. 10.5194/acp-22-12241-2022
- The use of satellite and surface observations for initializing clouds in the HARMONIE NWP model E. Gregow et al. 10.1002/met.1965
- 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
- 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
- Long-term sub-micrometer aerosol chemical composition in the boreal forest: inter- and intra-annual variability L. Heikkinen et al. 10.5194/acp-20-3151-2020
- Evaluating atmospheric icing forecasts with ground‐based ceilometer profiles K. Hämäläinen et al. 10.1002/met.1964
- Impact of tropical convective conditions on solar irradiance forecasting based on cloud motion vectors A. Roy et al. 10.1088/1748-9326/ac94e6
- CloudnetPy: A Python package for processing cloud remote sensing data S. Tukiainen et al. 10.21105/joss.02123
15 citations as recorded by crossref.
- Observed and modelled cloud cover up to 6 km height at Station Nord in the high Arctic S. Gryning et al. 10.1002/joc.6894
- Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals A. Guyot et al. 10.5194/amt-15-3663-2022
- Comparison of Satellite-Based and Ångström–Prescott Estimated Global Horizontal Irradiance under Different Cloud Cover Conditions in South African Locations B. Mabasa et al. 10.3390/solar2030021
- 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
- Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks W. Schimmel et al. 10.5194/amt-15-5343-2022
- Life cycle of stratocumulus clouds over 1 year at the coast of the Atacama Desert J. Schween et al. 10.5194/acp-22-12241-2022
- The use of satellite and surface observations for initializing clouds in the HARMONIE NWP model E. Gregow et al. 10.1002/met.1965
- 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
- 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
- Long-term sub-micrometer aerosol chemical composition in the boreal forest: inter- and intra-annual variability L. Heikkinen et al. 10.5194/acp-20-3151-2020
- Evaluating atmospheric icing forecasts with ground‐based ceilometer profiles K. Hämäläinen et al. 10.1002/met.1964
- Impact of tropical convective conditions on solar irradiance forecasting based on cloud motion vectors A. Roy et al. 10.1088/1748-9326/ac94e6
- CloudnetPy: A Python package for processing cloud remote sensing data S. Tukiainen et al. 10.21105/joss.02123
Latest update: 28 Sep 2023
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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