Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4537-2023
https://doi.org/10.5194/essd-15-4537-2023
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-199', Anonymous Referee #1, 26 Jul 2023
  • RC2: 'Comment on essd-2023-199', Anonymous Referee #2, 27 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Wenjun Tang on behalf of the Authors (24 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Aug 2023) by Jing Wei
RR by Anonymous Referee #2 (28 Aug 2023)
RR by Anonymous Referee #1 (05 Sep 2023)
ED: Publish as is (05 Sep 2023) by Jing Wei
AR by Wenjun Tang on behalf of the Authors (07 Sep 2023)  Manuscript 
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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.
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