Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4537-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4537-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
10 Oct 2023
Data description paper |
| 10 Oct 2023
| 10 Oct 2023
A dense station-based, long-term and high-accuracy dataset of daily surface solar radiation in China
Wenjun Tang
CORRESPONDING AUTHOR
National Tibetan Plateau Data Center (TPDC), State Key Laboratory of
Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute
of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101,
China
Junmei He
National Tibetan Plateau Data Center (TPDC), State Key Laboratory of
Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute
of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101,
China
Faculty of Geography, Yunnan Normal University, Kunming 650500, China
Jingwen Qi
National Tibetan Plateau Data Center (TPDC), State Key Laboratory of
Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute
of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101,
China
Department of Earth System Science, Ministry of Education Key Laboratory
for Earth System Modeling, Institute for Global Change Studies, Tsinghua
University, Beijing 100084, China
National Tibetan Plateau Data Center (TPDC), State Key Laboratory of
Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute
of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101,
China
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Short summary
In this study, we have developed a dense station-based, long-term dataset of daily surface solar radiation in China with high accuracy. The dataset consists of estimates of global, direct and diffuse radiation at 2473 meteorological stations from the 1950s to 2021. Validation indicates that our station-based radiation dataset clearly outperforms the satellite-based radiation products. Our dataset will contribute to climate change research and solar energy applications in the future.
In this study, we have developed a dense station-based, long-term dataset of daily surface solar...
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