A dense station-based, long-term and high-accuracy dataset of daily surface solar radiation in China

Tang, Wenjun; He, Junmei; Qi, Jingwen; Yang, Kun

doi:https://doi.org/10.5194/essd-15-4537-2023

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.

https://doi.org/10.5194/essd-15-4537-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 10

Data description paper

|

10 Oct 2023

Data description paper |

| 10 Oct 2023

A dense station-based, long-term and high-accuracy dataset of daily surface solar radiation in China

Wenjun Tang, Junmei He, Jingwen Qi, and Kun Yang

Data sets

A dense station-based long-term and high-accuracy dataset of daily surface solar radiation in China W. Tang https://doi.org/10.11888/Atmos.tpdc.300461

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.