Recent progress on evaluating and analysing surface radiation and energy budget datasets

Bo Jianga The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing, People’s Republic of China;b China and Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, People’s Republic of ChinaCorrespondence[email protected]

Xiaotong Zhanga The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing, People’s Republic of China;b China and Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, People’s Republic of China

Dongdong Wangc Department of Geography, University of Maryland, College Park, MD, USA

Shunlin Liangd Department of Geography, University of Hong Kong, Hong Kong, People’s Republic of China

Recent progress on evaluating and analysing surface radiation and energy budget datasets

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Recent progress on evaluating and analysing surface radiation and energy budget datasets

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