Pan et al. (2025) Capabilities of microwave-based soil moisture products in capturing extreme hydrological conditions

Identification

• Journal: Journal of Hydrology
• Year: 2025
• Date: 2025-10-10
• Authors: Yanxia Pan, Shi Hu, Lun Gao, Jianxiu Qiu, Zhiqing Peng, Lu Hu, Tianjie Zhao, Jianzhi Dong, Chao Tan
• DOI: 10.1016/j.jhydrol.2025.134392

Research Groups

• School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
• Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
• Institute on the Environment, University of Minnesota, St. Paul, USA
• Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
• International Institute for Earth System Science, Nanjing University, Nanjing, China
• State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
• Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
• Guangdong Research Institute of Water Resources and Hydropower, Guangzhou, China

Short Summary

This study evaluates the capabilities of microwave-based soil moisture products in capturing both long-term average errors and short-term extreme hydrological events (droughts and floods). It finds that retrieval algorithms govern long-term accuracy, while L-band products are superior for detecting short-term extremes.

Objective

• To assess the capabilities of microwave remote sensing soil moisture products in characterizing extreme climatic and hydrological events (droughts and floods), alongside evaluating their long-term averaged errors, addressing the limitations of previous research focused primarily on long-term errors and land surface model insensitivity.

Study Configuration

• Spatial Scale: Global (assessment of various satellite products, with ground-based observations for validation).
• Temporal Scale: Long-term (for averaged errors) and short-term (for extreme events like droughts and floods).

Methodology and Data

• Models used: Evaluation of microwave-based soil moisture retrieval algorithms, specifically mentioning the Multi-Channel Collaborative Algorithm (MCCA). The Triple Collocation (TC) method was used for assessment.
• Data sources: Extensive ground-based in-situ soil moisture observations; microwave remote sensing soil moisture products from various satellite missions and microwave frequency bands (e.g., L-band).

Main Results

• Retrieval algorithms significantly influence long-term soil moisture accuracy, with the Multi-Channel Collaborative Algorithm (MCCA) demonstrating reduced unbiased root mean square error and bias compared to prior approaches.
• L-band microwave soil moisture products exhibit superior capability in capturing short-term extreme events (droughts and floods), highlighting the critical role of microwave frequency for hydrological disaster monitoring.

Contributions

• Provides a comprehensive assessment of microwave-based soil moisture products' ability to capture both long-term average errors and, critically, short-term extreme hydrological conditions, addressing a significant gap in existing literature.
• Identifies the importance of specific retrieval algorithms (e.g., MCCA) for improving long-term accuracy and emphasizes the crucial role of particular microwave frequency bands (e.g., L-band) for effective hydrological disaster monitoring and early warning systems.

Funding

• Not specified in the provided text.

Citation

@article{Pan2025Capabilities,
  author = {Pan, Yanxia and Hu, Shi and Gao, Lun and Qiu, Jianxiu and Peng, Zhiqing and Hu, Lu and Zhao, Tianjie and Dong, Jianzhi and Tan, Chao},
  title = {Capabilities of microwave-based soil moisture products in capturing extreme hydrological conditions},
  journal = {Journal of Hydrology},
  year = {2025},
  doi = {10.1016/j.jhydrol.2025.134392},
  url = {https://doi.org/10.1016/j.jhydrol.2025.134392}
}