Xu et al. (2026) Dynamic Evolutions and Precursory Meteorological Anomalies of Compound Drought‐Heat Events in Northeast China Under a 3D Connected‐Component Tracking Framework

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

Identification

• Journal: International Journal of Climatology
• Year: 2026
• Date: 2026-10-19
• Authors: Wandi Xu, Xiaoxue Ma, Ying Li, Ziying Liu, Jihao Liang, Yang Liu, Jiachen Tan
• DOI: 10.1002/joc.70642

Research Groups

Not specified in the abstract.

Short Summary

This study develops an adaptive 3D spatiotemporal tracking framework to analyze compound climate extremes, applying it to compound drought-heat events (CDHEs) in Northeast China from 1960 to 2022. The framework identified 248 CDHE lifecycles, revealing bifurcated spatial evolution patterns and highlighting synergistic precursory meteorological anomalies driving event initiation.

Objective

• To develop an adaptive 3D spatiotemporal tracking framework that quantifies joint hazard stress, extracts discrete spatial patches, and traces temporal continuity of compound climate extremes, specifically applying it to understand the topological evolution and precursory meteorological anomalies of compound drought-heat events (CDHEs).

Study Configuration

• Spatial Scale: Northeast China
• Temporal Scale: 1960–2022

Methodology and Data

• Models used: Copula-based Standardized Compound Extreme Index (SCEI) for quantifying joint hazard stress; region-growing algorithm for extracting discrete spatial patches; adaptive spatial overlap criteria for tracing temporal continuity.
• Data sources: Meteorological observations/reanalysis (implied for drought and heat event analysis).

Main Results

• The framework successfully identified 248 complete CDHE lifecycles, demonstrating that large-scale persistent events are the primary drivers of regional drought-heat stress.
• Spatial evolution of CDHEs exhibits a bifurcated pattern: 66.9% are characterized by local emergence-dissipation, while 21.0% involve cross-regional migration with centroid displacements exceeding 100 kilometers, often accompanied by significant boundary deformation.
• Event initiation is driven by synergistic interactions between antecedent moisture deficits and concurrent meteorological anomalies (rapid increases in temperature and vapour pressure deficit) immediately prior to onset, rather than a linear accumulation.
• The fundamental distinction between high-intensity and low-intensity events lies in the earlier establishment of thermal dominance and the rapid amplification of meteorological anomalies before the onset of high-intensity events.

Contributions

• Introduces a novel, transferable, and adaptive 3D spatiotemporal tracking framework for monitoring diverse compound climate extremes.
• Advances the understanding of how compound hazards transition from gradual accumulation to critical states by elucidating their topological evolution and precursory anomalies.
• Provides a robust tool for real-time monitoring and analysis of compound extreme events across various regions.

Funding

Not specified in the abstract.

Citation

@article{Xu2026Dynamic,
  author = {Xu, Wandi and Ma, Xiaoxue and Li, Ying and Liu, Ziying and Liang, Jihao and Liu, Yang and Tan, Jiachen},
  title = {Dynamic Evolutions and Precursory Meteorological Anomalies of Compound Drought‐Heat Events in Northeast China Under a 3D Connected‐Component Tracking Framework},
  journal = {International Journal of Climatology},
  year = {2026},
  doi = {10.1002/joc.70642},
  url = {https://doi.org/10.1002/joc.70642}
}