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Remote Sens. 2018, 10(12), 1977;

Validation of CM SAF CLARA-A2 and SARAH-E Surface Solar Radiation Datasets over China

Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Zhuhai Key Laboratory of Dynamics Urban Climate and Ecology, School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai 519082, China
Deutscher Wetterdienst, 63067 Offenbach, Germany
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Author to whom correspondence should be addressed.
Received: 7 November 2018 / Revised: 26 November 2018 / Accepted: 4 December 2018 / Published: 7 December 2018
(This article belongs to the Section Atmosphere Remote Sensing)
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To achieve high-quality surface solar radiation (SSR) data for climate monitoring and analysis, the two satellite-derived monthly SSR datasets of CM SAF CLARA-A2 and SARAH-E have been validated against a homogenized ground-based dataset covering 59 stations across China for 1993–2015 and 1999–2015, respectively. The satellite products overestimate surface solar irradiance by 10.0 W m−2 in CLARA-A2 and 7.5 W m−2 in SARAH-E on average. A strong urbanization effect has been noted behind the large positive bias in China. The bias decreased after 2004, possibly linked to a weakened attenuating effect of aerosols on radiation in China. Both satellite datasets can reproduce the monthly anomalies of SSR, indicated by a significant correlation around 0.8. Due to the neglection of temporal aerosol variability in the satellite algorithms, the discrepancy between the satellite-estimated and ground-observed SSR trends slightly increases in 1999–2015 as compared to 1993–2015. The seasonal performance of the satellite products shows a better accuracy during warm than cold seasons. With respect to the spatial performance, the effects from anthropogenic aerosols, dust aerosols and high elevation and snow-covered surfaces should be well considered in the satellite SSR retrievals to further improve the performance in the eastern, northwestern and southwestern parts of China, respectively. View Full-Text
Keywords: surface solar radiation; solar brightening; satellite; validation; China surface solar radiation; solar brightening; satellite; validation; China

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Wang, Y.; Trentmann, J.; Yuan, W.; Wild, M. Validation of CM SAF CLARA-A2 and SARAH-E Surface Solar Radiation Datasets over China. Remote Sens. 2018, 10, 1977.

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