Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3411-2022
© Author(s) 2022. 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-14-3411-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
27 Jul 2022
Data description paper |
| 27 Jul 2022
| 27 Jul 2022
An integrated dataset of daily lake surface water temperature over the Tibetan Plateau
Linan Guo
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Hongxing Zheng
CSIRO Land and Water, Canberra, ACT 2601, Australia
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Lanxin Fan
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of the Chinese Academy of Sciences, Beijing 100049, China
Mengxuan Wen
Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Junsheng Li
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of the Chinese Academy of Sciences, Beijing 100049, China
Fangfang Zhang
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Liping Zhu
Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Bing Zhang
CORRESPONDING AUTHOR
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of the Chinese Academy of Sciences, Beijing 100049, China
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Cited
18 citations as recorded by crossref.
- Modelling Heat Balance of a Large Lake in Central Tibetan Plateau Incorporating Satellite Observations L. Guo et al. 10.3390/rs15163982
- Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach M. Kayastha et al. 10.3390/rs15174253
- Historical and projected response of Southeast Asian lakes surface water temperature to warming climate S. Virdis et al. 10.1016/j.envres.2024.118412
- Ice phenology dataset reconstructed from remote sensing and modelling for lakes over the Tibetan Plateau Y. Wu et al. 10.1038/s41597-022-01863-9
- A stacked machine learning model for multi-step ahead prediction of lake surface water temperature F. Di Nunno et al. 10.1016/j.scitotenv.2023.164323
- Westerly-triggered lake-effect snowfall enhanced with climate warming over the Tibetan Plateau Y. Dai et al. 10.1016/j.scib.2024.01.042
- Predominance of positive priming effects induced by algal and terrestrial organic matter input in saline lake sediments J. Yang et al. 10.1016/j.gca.2023.04.005
- A simple approach to estimate lake surface water temperatures in Polish lowland lakes S. Zhu et al. 10.1016/j.ejrh.2023.101468
- First Pediastrum–temperature transfer function and its application to mid-to-late Holocene reconstruction in Central Asia L. Xiang et al. 10.1016/j.quascirev.2024.108516
- How Useful Are Moderate Resolution Imaging Spectroradiometer Observations for Inland Water Temperature Monitoring and Warming Trend Assessment in Temperate Lakes in Poland? M. Sojka et al. 10.3390/rs16152727
- Causes and Impacts of Decreasing Chlorophyll-a in Tibet Plateau Lakes during 1986–2021 Based on Landsat Image Inversion S. Pang et al. 10.3390/rs15061503
- Long-term spatiotemporal mapping in lacustrine environment by remote sensing:Review with case study, challenges, and future directions L. Lai et al. 10.1016/j.watres.2024.122457
- Climate change drives rapid warming and increasing heatwaves of lakes X. Wang et al. 10.1016/j.scib.2023.06.028
- A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave S. Zhu et al. 10.1016/j.scitotenv.2023.167121
- The decrease of salinity in lakes on the Tibetan Plateau between 2000 and 2019 based on remote sensing model inversions C. Liu et al. 10.1080/17538947.2023.2233469
- A Google Earth Engine Application to Retrieve Long-Term Surface Temperature for Small Lakes. Case: San Pedro Lagoons, Chile M. Pedreros-Guarda et al. 10.3390/rs13224544
- Lake Expansion under the Groundwater Contribution in Qaidam Basin, China X. Zhang et al. 10.3390/rs14071756
- Application of a Three‐Dimensional Coupled Hydrodynamic‐Ice Model to Assess Spatiotemporal Variations in Ice Cover and Underlying Mechanisms in Lake Nam Co, Tibetan Plateau, 2007–2017 Y. Wu et al. 10.1029/2023JD038844
15 citations as recorded by crossref.
- Modelling Heat Balance of a Large Lake in Central Tibetan Plateau Incorporating Satellite Observations L. Guo et al. 10.3390/rs15163982
- Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach M. Kayastha et al. 10.3390/rs15174253
- Historical and projected response of Southeast Asian lakes surface water temperature to warming climate S. Virdis et al. 10.1016/j.envres.2024.118412
- Ice phenology dataset reconstructed from remote sensing and modelling for lakes over the Tibetan Plateau Y. Wu et al. 10.1038/s41597-022-01863-9
- A stacked machine learning model for multi-step ahead prediction of lake surface water temperature F. Di Nunno et al. 10.1016/j.scitotenv.2023.164323
- Westerly-triggered lake-effect snowfall enhanced with climate warming over the Tibetan Plateau Y. Dai et al. 10.1016/j.scib.2024.01.042
- Predominance of positive priming effects induced by algal and terrestrial organic matter input in saline lake sediments J. Yang et al. 10.1016/j.gca.2023.04.005
- A simple approach to estimate lake surface water temperatures in Polish lowland lakes S. Zhu et al. 10.1016/j.ejrh.2023.101468
- First Pediastrum–temperature transfer function and its application to mid-to-late Holocene reconstruction in Central Asia L. Xiang et al. 10.1016/j.quascirev.2024.108516
- How Useful Are Moderate Resolution Imaging Spectroradiometer Observations for Inland Water Temperature Monitoring and Warming Trend Assessment in Temperate Lakes in Poland? M. Sojka et al. 10.3390/rs16152727
- Causes and Impacts of Decreasing Chlorophyll-a in Tibet Plateau Lakes during 1986–2021 Based on Landsat Image Inversion S. Pang et al. 10.3390/rs15061503
- Long-term spatiotemporal mapping in lacustrine environment by remote sensing:Review with case study, challenges, and future directions L. Lai et al. 10.1016/j.watres.2024.122457
- Climate change drives rapid warming and increasing heatwaves of lakes X. Wang et al. 10.1016/j.scib.2023.06.028
- A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave S. Zhu et al. 10.1016/j.scitotenv.2023.167121
- The decrease of salinity in lakes on the Tibetan Plateau between 2000 and 2019 based on remote sensing model inversions C. Liu et al. 10.1080/17538947.2023.2233469
3 citations as recorded by crossref.
- A Google Earth Engine Application to Retrieve Long-Term Surface Temperature for Small Lakes. Case: San Pedro Lagoons, Chile M. Pedreros-Guarda et al. 10.3390/rs13224544
- Lake Expansion under the Groundwater Contribution in Qaidam Basin, China X. Zhang et al. 10.3390/rs14071756
- Application of a Three‐Dimensional Coupled Hydrodynamic‐Ice Model to Assess Spatiotemporal Variations in Ice Cover and Underlying Mechanisms in Lake Nam Co, Tibetan Plateau, 2007–2017 Y. Wu et al. 10.1029/2023JD038844
Latest update: 18 Nov 2024
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.
Lake surface water temperature (LSWT) is a critical physical property of the aquatic ecosystem...
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