Comparison of GOME‐2 UVA Satellite Data to Ground‐Based UVA Measurements in South Africa
Autor: | Caradee Y. Wright, Danielle A. Millar, Alfio V. Parisi, D. Jean du Preez, Hassan Bencherif |
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Přispěvatelé: | Laboratoire de l'Atmosphère et des Cyclones (LACy), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Météo France, Medical Research Council [South African], University of KwaZulu-Natal (UKZN) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere 010504 meteorology & atmospheric sciences Correlation coefficient media_common.quotation_subject 0211 other engineering and technologies Irradiance 02 engineering and technology General Medicine Ultraviolet a Albedo Atmospheric sciences 01 natural sciences Biochemistry Altitude 13. Climate action Sky Satellite data Environmental science Satellite ddc:610 Physical and Theoretical Chemistry 021101 geological & geomatics engineering 0105 earth and related environmental sciences media_common |
Zdroj: | Photochemistry and Photobiology Photochemistry and Photobiology, Wiley, 2020, ⟨10.1111/php.13308⟩ |
ISSN: | 0031-8655 |
DOI: | 10.1111/php.13308⟩ |
Popis: | International audience; Satellite estimates of surface ultraviolet A (UVA) (315–400 nm) from the Global Ozone Monitoring Experiment (GOME)‐2 were compared to ground‐based measurements at four stations in South Africa for 2015. The comparison of daily exposure and daily maximum irradiance was completed for all‐sky and clear‐sky conditions. There is a strong linear correlation between the satellite and ground‐based data with a correlation coefficient (r) between 0.86 and 0.97 for all‐sky conditions. However, at three of the stations the satellite data are underestimated compared to ground‐based data with a mean bias error (MBE) between −8.7% and −20.6%. A seasonal analysis indicated that there is a link between the bias in ground‐based and GOME‐2 UVA and cloud fraction. Factors such as aerosols, surface albedo, altitude and data resolution may contribute to the underestimations found at the three sites. These results indicate that satellite estimates of surface UVA over South Africa do not exhibit the same behavior as other stations around the world and therefore require further validation. |
Databáze: | OpenAIRE |
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