Preprints
https://doi.org/10.5194/essd-2021-151
https://doi.org/10.5194/essd-2021-151

  26 Jul 2021

26 Jul 2021

Review status: this preprint is currently under review for the journal ESSD.

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

Linan Guo1,2, Hongxing Zheng3, Yanhong Wu1,2, Lanxin Fan1,2, Mengxuan Wen1, Junsheng Li1,2, Fangfang Zhang1, Liping Zhu4, and Bing Zhang1,2 Linan Guo et al.
  • 1Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 2University of the Chinese Academy of Sciences, Beijing 100049, China
  • 3CSIRO Land and Water, Canberra, ACT 2601, Australia
  • 4Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China

Abstract. Lake surface water temperature (LSWT) is a critical physical property of the aquatic ecosystem and an evident indicator of climate change. By combining the strengths of satellite-based observation and modelling, we have produced an integrated daily lake surface water temperature for 160 lakes across the Tibetan Plateau where in-situ observation is limited. The satellite-based lake-wide mean LSWT in the integrated dataset includes that for the daytime, night-time and for the daily mean for the period 2000–2017. The dataset is comparable with other satellite-based LSWT products (e.g., LSWT from AVHRR and ARC-Lake) and unique for its tempo-spatial span and resolution. Calibrated and validated against the satellite-based LSWT, complete and consistent daily LSWT dataset have been reconstructed and extended to the period 1978–2017 basing on the modified air2water model. According to the reconstructed LSWT dataset, it is found that annual LSWT of lakes in the Tibetan Plateau has increased significantly in the period 1978–2017 with increase rate ranging at 0.01 to 0.4 °C 10 a−1. The warming trends of the lakes are more evident in winter than in summer. The integrated dataset together with the methods introduced herein can contribute to the research community to explore water and heat balance changes and the consequent ecological effects at the Tibetan Plateau in the future researches. Data from this study are openly available via the Zenodo portal, with DOI https://doi.org/10.5281/zenodo.5111400 (Guo et al., 2021).

Linan Guo et al.

Status: open (until 13 Oct 2021)

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  • RC1: 'Comment on essd-2021-151', Anonymous Referee #1, 27 Sep 2021 reply

Linan Guo et al.

Data sets

An integrated dataset of daily lake surface water temperature over Tibetan Plateau Guo, Linan, Wu, Yanhong, Zheng, Hongxing, Zhang, Bing, & Wen, Mengxuan https://doi.org/10.5281/zenodo.5111400

Linan Guo et al.

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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 satellite and model, we produced an integrated dataset on daily LSWT of 160 large lakes across the Tibetan Plateau (TP) for the period 1978–2017. LSWT is found increased significantly with increase rate ranging at 0.01 to 0.4 °C/10 a. The dataset can contribute to explore water and heat balance changes and ecological effects in the TP.