Validation of Satellite-derived Daily Sunshine Duration Estimates Against Campbell-Stokes Sensor Measurements in Côte d’Ivoire

Accurate measurement of sunshine duration (SDU) is crucial for various meteorological and solar energy applications. This study evaluates the accuracy of satellite-derived sunshine duration (SDU) data (Surface Radiation Data Set-Heliosat - Edition 3) against ground-based measurements from eight stations across Côte d’Ivoire. Key metrics include the correlation coefficient (R), root mean square deviation (RMSD), mean bias deviation (MBD), and scatter index (SI). The strongest correlations were found at San Pédro (R = 0.952) and Korhogo (R = 0.950), while the weakest was at Odienné (R = 0.839). RMSD ranged from 0.9 hours/day at Korhogo to 2.4 hours/day at Odienné, with general satellite overestimation. These results highlight variability in the satellite data’s accuracy, suggesting its reliability in some regions but calling for localized validation in others.

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Published
2024-11-27
DOI
https://doi.org/10.1109/ihtc61819.2024.10855142
Citations
2
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.57

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article

Validation of Satellite-derived Daily Sunshine Duration Estimates Against Campbell-Stokes Sensor Measurements in Côte d’Ivoire

Boko Aka, Georg Frey, Dungall Laouali, Konin Pierre Claver Kakou et al.
2 citations
Impact of Light on Environment and Health
0.57
article

Validation of Satellite-derived Daily Sunshine Duration Estimates Against Campbell-Stokes Sensor Measurements in Côte d’Ivoire

Boko Aka, Georg Frey, Dungall Laouali, Konin Pierre Claver Kakou, Janet Appiah Osei, Nicaise Franck Kassi Ette
article en
2 citations

Abstract

Accurate measurement of sunshine duration (SDU) is crucial for various meteorological and solar energy applications. This study evaluates the accuracy of satellite-derived sunshine duration (SDU) data (Surface Radiation Data Set-Heliosat - Edition 3) against ground-based measurements from eight stations across Côte d’Ivoire. Key metrics include the correlation coefficient (R), root mean square deviation (RMSD), mean bias deviation (MBD), and scatter index (SI). The strongest correlations were found at San Pédro (R = 0.952) and Korhogo (R = 0.950), while the weakest was at Odienné (R = 0.839). RMSD ranged from 0.9 hours/day at Korhogo to 2.4 hours/day at Odienné, with general satellite overestimation. These results highlight variability in the satellite data’s accuracy, suggesting its reliability in some regions but calling for localized validation in others.

Université Abdou Moumouni (NE), IFP Énergies nouvelles (FR), Société de Développement des Forêts (CI), National Institute of Meteorology (TN), Saarland University (DE)
Ministry of Education
Climate action
Openalex Percentile: Top 31%
Impact of Light on Environment and Health
0.57
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