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

Authors :
Yawen Wang
Jörg Trentmann
Wenping Yuan
Martin Wild
Source :
Remote Sensing, Vol 10, Iss 12, p 1977 (2018)
Publication Year :
2018
Publisher :
MDPI AG, 2018.

Abstract

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.

Details

Language :
English
ISSN :
20724292
Volume :
10
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.973bfafeb704b4ca6c5dfeb3703ad59
Document Type :
article
Full Text :
https://doi.org/10.3390/rs10121977