Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-907-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-11-907-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements
Panagiotis G. Kosmopoulos
CORRESPONDING AUTHOR
Institute for Environmental Research and Sustainable Development,
National Observatory of Athens, Athens, Greece
Laboratory of Atmospheric Physics, Aristotle University of
Thessaloniki, Thessaloniki, Greece
Stelios Kazadzis
Physicalisch-Meteorologisches Observatorium Davos, World Radiation
Center, Davos, Switzerland
Institute for Environmental Research and Sustainable Development,
National Observatory of Athens, Athens, Greece
Michael Taylor
Department of Meteorology, University of Reading, Reading, UK
Panagiotis I. Raptis
Institute for Environmental Research and Sustainable Development,
National Observatory of Athens, Athens, Greece
Physicalisch-Meteorologisches Observatorium Davos, World Radiation
Center, Davos, Switzerland
Iphigenia Keramitsoglou
Institute for Astronomy, Astrophysics, Space Applications and Remote
Sensing, National Observatory of Athens, Athens, Greece
Chris Kiranoudis
Institute for Astronomy, Astrophysics, Space Applications and Remote
Sensing, National Observatory of Athens, Athens, Greece
School of Chemical Engineering, National Technical University of
Athens, Athens, Greece
Alkiviadis F. Bais
Laboratory of Atmospheric Physics, Aristotle University of
Thessaloniki, Thessaloniki, Greece
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- Forecasting dust impact on solar energy using remote sensing and modeling techniques A. Masoom et al. 10.1016/j.solener.2021.09.033
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- Rooftop Photovoltaic Energy Production Estimations in India Using Remotely Sensed Data and Methods A. Kumar et al. 10.3390/rs15123051
- Evaluation and Comparison of Spatial Clustering for Solar Irradiance Time Series L. Garcia-Gutierrez et al. 10.3390/app12178529
- Natural Aerosols, Gaseous Precursors and Their Impacts in Greece: A Review from the Remote Sensing Perspective V. Amiridis et al. 10.3390/atmos15070753
- EARLINET observations of Saharan dust intrusions over the northern Mediterranean region (2014–2017): properties and impact on radiative forcing O. Soupiona et al. 10.5194/acp-20-15147-2020
- The Performance of Downward Shortwave Radiation Products from Satellite and Reanalysis over the Transect of Zhongshan Station to Dome A, East Antarctica J. Jia et al. 10.1007/s00376-023-3136-0
- Modelling global solar irradiance for any location on earth through regression analysis using high-resolution data D. Arumugham & P. Rajendran 10.1016/j.renene.2021.09.030
- Solar Energy Estimations in India Using Remote Sensing Technologies and Validation with Sun Photometers in Urban Areas A. Masoom et al. 10.3390/rs12020254
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- Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus I. Fountoulakis et al. 10.3390/rs13122319
- Impact of Aerosol and Cloud on the Solar Energy Potential over the Central Gangetic Himalayan Region U. Dumka et al. 10.3390/rs13163248
- Multi-sectoral impact assessment of an extreme African dust episode in the Eastern Mediterranean in March 2018 A. Monteiro et al. 10.1016/j.scitotenv.2022.156861
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Latest update: 20 Nov 2024
Short summary
Continuous monitoring of solar energy from space is critical for its efficient exploitation and distribution. For this reason we developed neural-network- and function-based real-time models, which are capable of producing massive radiation outputs in high spectral, spatial and temporal resolution. The models' performance against ground-based measurements revealed a dependence on input quality and resolution, and an overall accuracy under cloudless and high solar energy potential conditions.
Continuous monitoring of solar energy from space is critical for its efficient exploitation and...