Articles | Volume 14, issue 7
Data description paper
27 Jul 2022
Data description paper |  | 27 Jul 2022

An integrated dataset of daily lake surface water temperature over the Tibetan Plateau

Linan Guo, Hongxing Zheng, Yanhong Wu, Lanxin Fan, Mengxuan Wen, Junsheng Li, Fangfang Zhang, Liping Zhu, and Bing Zhang


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-151', Anonymous Referee #1, 27 Sep 2021
    • AC1: 'Reply on RC1', Yanhong Wu, 20 Oct 2021
  • CC1: 'Comment on essd-2021-151', Jia Tong, 02 Nov 2021
    • AC2: 'Reply on CC1', Yanhong Wu, 03 Nov 2021
  • RC2: 'Comment on essd-2021-151', Anonymous Referee #2, 22 Dec 2021
    • AC3: 'Reply on RC2', Yanhong Wu, 19 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yanhong Wu on behalf of the Authors (19 Jan 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Feb 2022) by Bas Altena
RR by Anonymous Referee #1 (14 Feb 2022)
ED: Publish subject to minor revisions (review by editor) (06 Jun 2022) by Kirsten Elger
AR by Yanhong Wu on behalf of the Authors (13 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (17 Jun 2022) by Kirsten Elger
AR by Yanhong Wu on behalf of the Authors (24 Jun 2022)  Manuscript 
Short summary
Lake surface water temperature (LSWT) is a critical physical property of the aquatic ecosystem and an indicator of climate change. By combining the strengths of satellites and models, we produced an integrated dataset on daily LSWT of 160 large lakes across the Tibetan Plateau (TP) for the period 1978–2017. LSWT increased significantly at a rate of 0.01–0.47° per 10 years. The dataset can contribute to research on water and heat balance changes and their ecological effects in the TP.
Final-revised paper