2026-10-13T18:56:20Z https://www.scidb.cn/oai

10.57760/sciencedb.36169 2026-07-24T17:41:52Z

2026-07-24 TPHH: A long-term (1901--2023) high-resolution (1/30°) near-surface humidity dataset for the Tibetan Plateau generated via spatial downscaling based on hybrid-structure deep learning doi:10.57760/sciencedb.36169 en # TPHH Dataset: Long-term High-resolution Meteorological Reconstruction over the Tibetan Plateau (1901-1978)## OverviewThis dataset (TPHH v1.0) provides reconstructed monthly meteorological fields over the Tibetan Plateau at a high spatial resolution (1/30 degree x 1/30 degree, approx. 3 km x 3 km) for the extended period of 1901–2023. The reconstruction is generated using a FourCastNet-based deep learning framework, fusing the long-term historical consistency of CRU TS 4.08 with the high-resolution spatial patterns of the modern TPMFD dataset.And this dataset also provides spatial evaluation metrics outputs from two experimental settings: a baseline model (No-DEM Input) and a model with DEM input. Furthermore, based on the No-DEM model, it also provides long-term trend analyses and climate mutation tests.This dataset accompanies the paper: "TPHH: A long-term (1901–2023) high-resolution (1/30°) near-surface humidity dataset for the Tibetan Plateau generated via spatial downscaling based on hybrid-structure deep learning" ## File Description1. **TPHH_1901-1978_monthly.nc**  - Content: The main reconstructed historical dataset.  - Period: Jan 1901 - Dec 1978.  - Format: NetCDF4.  - Resolution: 1/30 degree (~3 km).2. **TPHH_validation_1979-2023_monthly.nc**  - Content: The reconstruction results for the modern period (validation set) generated via K-Fold cross-validation.  - Period: Jan 1979 - Dec 2023.  - Use case: For validation and comparison purposes.3. **TPHH_1901_2023.nc**  - Content: The complete 123-year reconstructed historical dataset (Model without DEM input).  - Period: Jan 1979 - Dec 2023.  - Use case: For reconstruction, validation and comparison purposes.4. **TPHH_1901_2023_dem.nc**  - Content: The complete 123-year reconstructed historical dataset (Model with DEM input).  - Period: Jan 1901 - Dec 2023.  - Use case: For reconstruction, validation and comparison purposes.5. **TPHH_monthly_output_and_tpmfd_maps_1979_2023.nc**  - Content: The cross-validation outputs (Model without DEM input) paired with the original TPMFD target maps for the modern period.  - Period: Jan 1979 - Dec 2023.  - Use case: For validation and comparison purposes.6. **TPHH_monthly_output_and_tpmfd_maps_1979_2023_dem.nc**  - Content: The cross-validation outputs (Model with DEM input) paired with the original TPMFD target maps for the modern period.  - Period: Jan 1979 - Dec 2023.  - Use case: For validation and comparison purposes.7. **Metrics_30yr.zip**- Content: NetCDF files containing gridded spatial evaluation metrics (RMSE, MAE, R², IOA) calculated over different 30-year climatological windows (e.g., 1979-2008, 1994-2023). Includes comparisons between No-DEM and DEM outputs.8. **Monthly_Panel_Trends_30yr.zip**- Content: NetCDF files containing gridded spatial linear trend patterns computed over 30-year periods, revealing regional warming or wetting/drying tendencies.9. **Pettitt_Mutation_30yr.zip**- Content: NetCDF files containing the results of the Pettitt test, designed to detect abrupt climate shifts (mutations) at the grid scale over 30-year windows.10. **Auxiliary_Data.zip**  - Contains the static DEM file, study area boundary shapefiles (TPBoundary_HF), and sample data used for the model inference code.## VariablesThe NetCDF files contain the following variables:| Variable Name | Description | Unit || :--- | :--- | :--- || **temp** | 2 m Air Temperature | K || **shum** | 2 m Specific Humidity | Kg/kg || **pres** | Surface Pressure | hPa || **time** | Time coordinate | Months since 1901-01-01 || **lat/lon** | WGS84 coordinates | Degrees |## Coordinate System- Projection: WGS 84 (EPSG:4326)- Spatial Extent: Tibetan Plateau (Lat: 25.75°-41.2°N, Lon: 72°-105.65°E).- Resolution: 1/30 degree x 1/30 degree (~3 km x 3 km)## Usage Notes- The data is provided in monthly means.## LicenseCreative Commons Attribution 4.0 International (CC-BY 4.0). Tibetan Plateau; Meteorology; Climate Reconstruction; Deep Learning; FourCastNet; TPHH Zezhou Chen PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.5194/essd-2026-180 Science Data Bank