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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Simulated lake volume Dataset on the Tibetan Plateau (2022)

Authors: Han, Xiaoran; Zhang, Guoqing;

Simulated lake volume Dataset on the Tibetan Plateau (2022)

Abstract

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.

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

Keywords

Remote Sensing, Lake volume, Lake bathymetry, Tibetan Plateau

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average