Gridded runoff and evapotranspiration dataset for seven major river basins of the Tibetan Plateau during 1998-2017
Creators
- 1. Institute of Tibetan Plateau Research, Chinese Academy of Sciences
Description
This data set describes the spatiotemporal distribution of runoff and evapotranspiration for the headwater of seven river basins (the Yellow, Yangtze, Mekong, Salween, Brahmaputra, Ganges, and Indus) in the Tibetan Plateau. This was achieved using an observation-constrained distributed cryosphere-hydrology model, known as the WEB-DHM. The time range is 1998-2017 at a monthly scale, the spatial resolution is 5km×5km, and the unit is mm/month.
For the convenience of users, this data is stored in TIF format, with each combination of different watersheds forming a separate file. Each file contains two variable: either runoff or evapotranspiration. These files can be opened with ArcGIS, Python, R, and other tools.
Files
Files
(87.5 MB)
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Additional details
References
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- Qi, J., Wang, L., Zhou, J., Song, L., Li, X., Zeng, T., 2019. Coupled Snow and Frozen Ground Physics Improves Cold Region Hydrological Simulations: An Evaluation at the upper Yangtze River Basin (Tibetan Plateau). J. Geophys. Res. Atmos. 124, 12985–13004. https://doi.org/10.1029/2019JD031622
- Chai, C., Wang, L., Chen, D., Zhou, J., Liu, H., Zhang, J., Wang, Y., Chen, T., & Liu, R. (2022). Future snow changes and their impact on the upstream runoff in Salween. Hydrol. Earth Syst. Sci. 26(18), 4657–4683. https://doi.org/10.5194/hess-26-4657-2022
- Song, L., Wang, L., Li, X., Zhou, J., Luo, D., Jin, H., Qi, J., Zeng, T., Yin, Y., 2020. Improving Permafrost Physics in a Distributed Cryosphere-Hydrology Model and Its Evaluations at the Upper Yellow River Basin. J. Geophys. Res. Atmos. 125, 1–22. https://doi.org/10.1029/2020JD032916
- Wang, Y., Wang, L., Zhou, J., Yao, T., Yang, W., Zhong, X., Liu, R., Hu, Z., Luo, L., Ye, Q., Chen, N., Ding, H., 2021. Vanishing Glaciers at Southeast Tibetan Plateau Have Not Offset the Declining Runoff at Yarlung Zangbo. Geophys. Res. Lett. 48, 1–12. https://doi.org/10.1029/2021GL094651
- Liu, H., Wang, L., Zhou, J., Shrestha, M., Chai, C., Li, X., Ahmad, B., 2023. Energy-balance modeling of heterogeneous glacio-hydrological regimes at upper Indus. J. Hydrol. Reg. Stud. 49, 101515. https://doi.org/10.1016/j.ejrh.2023.101515