Runoff and Evapotranspiration Projections for Tibetan Plateau River Headwaters, 2018-2100

Monthly runoff and evapotranspiration data at a 0.25-degree resolution for the headwater of seven river basins in the Tibetan Plateau from 2018 to 2100. Junshui Long of the Chinese Academy of Sciences generated this data using an LSTM-grid model trained with outputs from a cryosphere-hydrology model and multiple climate model inputs under SSP245 and SSP585 scenarios. The data is stored in NetCDF format, with separate files for each variable and scenario combination.

Use Cases

• Projecting future water availability based on runoff data under different climate scenarios
• Analyzing long-term hydrological changes based on monthly evapotranspiration time series
• Modeling climate change impacts on major Asian river systems based on the seven basin headwater data
• Comparing hydrological outputs across different global climate models (GFDL-ESM4, IPSL-CM6A-LR, etc.)

Strengths

• Covers an 82-year future projection period (2018-2100)
• Includes data for seven major river basins on the Tibetan Plateau
• Provides outputs for two distinct climate scenarios (SSP245 and SSP585)
• Uses a multi-model ensemble approach, incorporating data from five different global climate models

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is model-projected and not directly observed, which may introduce uncertainties

Provenance

Source

Junshui Long, Chinese Academy of Sciences

Collection Method

Generated using an LSTM-grid model trained with inputs from a WEB-DHM cryosphere-hydrology model, ISIMIP3b meteorological data, and NSIDC glacier mass balance data.

Time Range

2018-2100

Geography

Headwater regions of seven river basins in the Tibetan Plateau