Published 2024 | Version v1
Dataset Open

Simulated lake volume Dataset on the Tibetan Plateau (2022)

  • 1. ROR icon Institute of Tibetan Plateau Research
  • 2. ROR icon University of Chinese Academy of Sciences
  • 1. ROR icon University of Illinois Urbana-Champaign
  • 2. ROR icon Kansas State University
  • 3. ROR icon National Central University
  • 4. ROR icon Institute of Tibetan Plateau Research
  • 5. ROR icon University of Chinese Academy of Sciences
  • 6. ROR icon Bangor University
  • 7. ROR icon The Ohio State University

Description

Using ICESat-2 lidar altimeter data and the empirical equation derived from self-affine theory, the lake volumes with an area greater than 0.01 km2 on the Tibetan Plateau in 2022 were estimated. The study found that the simulated and in-situ lake volumes were in good agreement, with an average absolute percentage error of 8.0% for the maximum lake depth and 19.7% for the lake volume. It is estimated that the total water storage of lakes larger than 0.01 km2 on the Tibetan Plateau in 2022 was 1043.69±341.31 km³, with approximately 70% (~734.8 km³) of the lake water storage concentrated in the Inner Plateau (Qiangtang Plateau). This data preliminarily clarifies the water storage of lakes on the Tibetan Plateau based on remote sensing methods, providing important data support for the prediction of future lake water volume changes, water balance analysis, and water resources management.

Notes (English)

This dataset is archived in ERSI shapefile format, and users can directly open using ArcGIS/QGIS and other software. File name: Lake_volume_TP2022.shp

Files

LakeVolumeTP.zip

Files (22.8 MB)

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Additional details

Related works

Is cited by
Journal article: 10.1016/j.rse.2024.114458 (DOI)