Deng et al. (2026) Advancing the Use of Satellite and Reanalysis Precipitation Data in Data-Scarce High-Altitude Regions: A Comprehensive Review

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Hydrology
• Year: 2026
• Date: 2026-09-21
• Authors: Liangkun Deng, Shihan Shan, Hua Chen, Xi Zhang, Guiliang Zhong, Fuling Wen, Yan Zhang
• DOI: 10.3390/hydrology13090259

Research Groups

• Institute of Tibetan Plateau Research (ITPR), Chinese Academy of Sciences (CAS)
• National Center for Atmospheric Science (NCAS)

Short Summary

This review examines the application of satellite precipitation products and reanalysis datasets to address data scarcity in high-altitude regions, with a focus on the Tibetan Plateau. The results indicate that bias correction and product merging methods can improve accuracy.

Objective

• Investigate the potential of satellite precipitation products and reanalysis datasets for addressing data scarcity in high-altitude regions.
• Evaluate the effectiveness of bias correction and product merging methods for improving accuracy.

Study Configuration

• Spatial Scale: Global, with a focus on the Tibetan Plateau (TP)
• Temporal Scale: Long-term climate variability and extreme events

Methodology and Data

• Models used: ISBA, mHM, and other numerical simulation techniques
• Data sources: Satellite precipitation products (SPPs), reanalysis datasets (e.g., ERA5, JRA55)

Main Results

• Conditional biases in SPPs across multiple spatiotemporal scales.
• Bias correction and product merging methods can improve accuracy in both precipitation estimates and hydrological simulations.

Contributions

• Comprehensive review of the application of SPPs and reanalysis datasets to high-altitude regions.
• Evaluation of bias correction and product merging methods for improving accuracy.

Funding

• National Natural Science Foundation of China (NSFC) - Grant No. 91737206
• European Union's Horizon 2020 research and innovation program - Grant Agreement No. 776186

Citation

@article{Deng2026Advancing,
  author = {Deng, Liangkun and Shan, Shihan and Chen, Hua and Zhang, Xi and Zhong, Guiliang and Wen, Fuling and Zhang, Yan},
  title = {Advancing the Use of Satellite and Reanalysis Precipitation Data in Data-Scarce High-Altitude Regions: A Comprehensive Review},
  journal = {Hydrology},
  year = {2026},
  doi = {10.3390/hydrology13090259},
  url = {https://doi.org/10.3390/hydrology13090259}
}