Yu et al. (2025) Research on quantitative monitoring of new meteorological-agricultural compound drought characteristics

Identification

• Journal: Theoretical and Applied Climatology
• Year: 2025
• Date: 2025-09-17
• Authors: Yang Yu, Lei Zhou, Wenliang Wang, Rong Tian, Jingxin Zhang, Senmiao Hu, Qingzhu Zhang, Yalan Li
• DOI: 10.1007/s00704-025-05752-0

Research Groups

• School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China
• Faculty of Geographical Science, Beijing Normal University, Beijing, China

Short Summary

This study developed the Meteorological-Agricultural Compound Drought Index (AMDI) using Copula methodology to integrate meteorological and agricultural drought variables for China's Huang-Huai-Hai region. The AMDI effectively monitors emerging compound drought patterns, demonstrating higher sensitivity and accuracy than traditional indices for early warning and precise characterization.

Objective

• To develop a novel Meteorological-Agricultural Compound Drought Index (AMDI) that effectively integrates meteorological and agricultural drought variables using Copula methodology to quantitatively monitor new meteorological-agricultural compound drought characteristics in China's Huang-Huai-Hai region.
• To assess the severity, duration, and frequency of historical compound drought events using the developed AMDI.

Study Configuration

• Spatial Scale: Huang-Huai-Hai region of China.
• Temporal Scale: Historical period (specific duration not detailed in abstract) for analyzing drought severity, duration, and frequency.

Methodology and Data

• Models used: Copula methodology for integrating variables; Meteorological-Agricultural Compound Drought Index (AMDI) developed.
• Data sources: Meteorological drought variables (precipitation, evapotranspiration), agricultural drought variables (soil moisture).

Main Results

• The developed AMDI effectively captures the joint characteristics of meteorological and agricultural droughts.
• AMDI demonstrates higher sensitivity and accuracy across multiple temporal scales compared to traditional drought indices such as SPEI and SSMI.
• AMDI particularly excels in early warning systems and the precise characterization of compound drought evolution.

Contributions

• Development of a novel, integrated Meteorological-Agricultural Compound Drought Index (AMDI) specifically designed for monitoring complex compound drought events.
• Introduction of a Copula-based methodology for combining meteorological (precipitation, evapotranspiration) and agricultural (soil moisture) drought variables, addressing limitations of existing drought indices.
• Demonstrated improvement in sensitivity and accuracy for drought monitoring and early warning systems compared to traditional indices.

Funding

• National Natural Science Foundation of China (42077439)

Citation

@article{Yu2025Research,
  author = {Yu, Yang and Zhou, Lei and Wang, Wenliang and Tian, Rong and Zhang, Jingxin and Hu, Senmiao and Zhang, Qingzhu and Li, Yalan},
  title = {Research on quantitative monitoring of new meteorological-agricultural compound drought characteristics},
  journal = {Theoretical and Applied Climatology},
  year = {2025},
  doi = {10.1007/s00704-025-05752-0},
  url = {https://doi.org/10.1007/s00704-025-05752-0}
}