Chen, Jiaming; Liao, Jingjuan; Deng, Wanqian; Shen, Guozhuang; Zhang, Lianchong; Wang, Chao (2024): High-space-coverage lake level change data sets on the Tibetan Plateau from 2002 to 2021 using multiple altimeter data [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.973443
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Abstract:
The Qinghai Tibet region, known as the Roof of the World and the Water Tower of Asia, has the largest number of lakes in the world, and because of its high altitude and the near absence of disturbance by human activity, the Tibetan plateau has long been a significant place to study global climate change. Hydrological stations cannot be easily set up in this area, and the in-situ gauge data are not always publicly accessible. Satellite radar altimetry has become a very important alternative to in-situ observations as a data source. Estimation of lake water levels with a given radar altimeter is often limited by temporal and spatial coverage, and therefore multi-altimeter data are used to monitor lake levels. Restricted by the accuracy of waveform processing and the intervals period between different altimetry missions, the accuracy and the sampling frequency of the water level series are low. By processing and merging 8 different altimetry missions, the developed data set gives the water level changes for 361 lakes (larger than 10 km2) in Tibetan Plateau from 2002 to 2021. The period of lake level change series with high accuracy can be much longer in many lakes. This data set and associated approaches are valuable for calculating the lake storage changes, trend analyses of lake level, short-term monitoring of lake overflow, flooding disasters on the Tibetan Plateau, and the relationships between the lake ecosystem change and water resources change.
Supplement to:
Chen, Jiaming; Liao, Jingjuan; Lou, Yanhan; Ma, Shanmu; Shen, Guozhuang; Zhang, Lianchong (in review): High-resolution datasets for lake level changes in the Qinghai-Tibetan Plateau from 2002 to 2021 using multi-altimeter data. https://doi.org/10.5194/essd-2022-313
Previous version:
Chen, Jiaming; Liao, Jingjuan; Deng, Wanqian; Shen, Guozhuang; Zhang, Lianchong; Wang, Chao (2021): High-space-coverage lake level change data sets on the Tibetan Plateau from 2002 to 2021 using multiple altimeter data [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.939427
Funding:
Comment:
This is a newer version due to review process of related paper.
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
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1 | Binary Object | Binary | Chen, Jiaming | |||
2 | Binary Object (Media Type) | Binary (Type) | Chen, Jiaming | |||
3 | Binary Object (File Size) | Binary (Size) | Bytes | Chen, Jiaming | ||
4 | File content | Content | Chen, Jiaming |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
6 data points
Data
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1 Binary | 2 Binary (Type) | 3 Binary (Size) [Bytes] | 4 Content |
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dataset.zip | application/zip | 749.1 kBytes | 361 lakes-level change time series (181 lakes have the series from 2002 to 2021 and 180 lakes have the series from 2010 to 2021) are available on the data set. Water level time series for each lake are archived as 361 entities by the lake names, which has a text describing all the information about each lake in the title of each file. |
readme_dataset_info.kml | application/vnd.google-earth.kml+xml | 158 kBytes | Text describing all the information about each lake in the title of each file. Standard xml file which can be opened in google earth. |
readme_dataset_info.md | text/plain | 74.2 kBytes | Text describing all the information about each lake in the title of each file. Standard markdown file which can be read by any txt file or markdown reader. |