Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 9
Articles | Volume 18, issue 9
https://doi.org/10.5194/essd-18-6763-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-6763-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 9
Data description article
 | 
14 Sep 2026
Data description article |  | 14 Sep 2026

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

Zheng Jin, Zezhou Chen, Qinglong You, Zhaoxiang Liu, Jintao Zhang, Huan Hu, Ping Chen, Xiang Liu, Zipeng Wang, Kai Wang, Shiguo Lian, and Shichang Kang

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Short summary
This study presents the TPHH (Tibetan Plateau Historical High) dataset, a high-resolution (1/30°) monthly climate dataset for the Tibetan Plateau spanning 1901–2023, featuring 2 m temperature, specific humidity, and surface pressure. By employing a hybrid deep learning framework (FourCastNet), we downscaled coarse historical data through the synergistic mapping of total-field signals and terrain constraints. Validated against independent observations, this physically-consistent dataset bridges the pre-satellite data gap.
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