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Data · dataset · 2026

A Dataset of Land Surface Characteristics and Water and Energy Fluxes on the Tibetan Plateau (2002 - 2024)

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The Tibetan Plateau (TP), often referred to as the “Third Pole” owing to its extreme elevation and extensive cryosphere, exerts a profound influence on regional and global climates.

Description

This dataset provides a comprehensive suite of land surface characteristics and water and energy fluxes critical for characterizing land-atmosphere interactions, including land surface albedo, the Normalized Difference Vegetation Index (NDVI), net radiation, soil heat flux, sensible heat flux, latent heat flux, and evapotranspiration (ET).

Albedo is reconstructed via a CNN-LSTM model, integrating MODIS retrievals with in-situ measurements. NDVI is derived from MODIS NDVI product by using the Savitzky-Golay filter. The surface energy flux components, including the net radiation, soil heat flux, sensible heat flux, and latent heat flux, are estimated using the SEBS (Surface Energy Balance System) framework.

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ET is derived from the MOD16-STM (MOD16 soil texture ET model) algorithm. Covering the entire TP (73.50° - 104.42° E, 26.00° - 39.99° N), the dataset features a daily temporal resolution and a spatial resolution of 1 km, with geographic referencing under the WGS1984 coordinate system. All variables are provided as monthly NetCDF files, organized into separate folders by variable.

The NetCDF files are internally compressed with zlib at level 6 to reduce storage size. Additionally, all monthly files from the same calendar year are grouped and compressed into a single ZIP archive. This dataset constitutes a robust foundation for investigating regional land–atmosphere interactions, water resource availability, surface energy balance, and associated climate impacts.

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Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.4094912 d agoJSON v1
FieldAssertionExtractorEvidence
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