Reddy et al. (2025) Exploring the Influence of Sea Surface Temperature Extremes on Precipitation Extremes Across India's Climate Zones: A Complex Network Approach

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

Identification

• Journal: International Journal of Climatology
• Year: 2025
• Date: 2025-11-02
• Authors: V. M. Reddy, Litan Kumar Ray
• DOI: 10.1002/joc.70172

Research Groups

Not explicitly stated in the abstract.

Short Summary

This study investigates the multiscale impact of Sea Surface Temperature (SST) extremes on precipitation extremes across India's climate regions from 1981 to 2020, revealing that proximal oceanic regions drive short-term precipitation extremes while remote SST influences dominate longer-term extremes through atmospheric teleconnections.

Objective

• To investigate the impact of Sea Surface Temperature (SST) extremes on precipitation extremes in India's six homogeneous climate regions from 1981 to 2020.

Study Configuration

• Spatial Scale: India's six homogeneous climate regions at grid level; various global sea regions including Bay of Bengal (BOB), Arabian Sea (ARS), Eastern Indian Ocean (EIO), North Atlantic Oscillation (NAO), East Atlantic Oscillation (EAO), Eastern Pacific Oscillation (EPO), North Pacific Oscillation (NPO), South Pacific Oscillation (SPO), Southern Indian Ocean (SIO), South Atlantic Oscillation (SAO), and Southern Ocean Oscillation (SOO).
• Temporal Scale: 40 years (1981–2020); analysis across different temporal scales (shorter, interannual, decadal) identified through wavelet decomposition.

Methodology and Data

• Models used: No climate models were used. The study employed analytical techniques.
• Data sources: Observational/Reanalysis data for Sea Surface Temperature (SST) extremes and precipitation extremes.
• Techniques: Wavelet-based complex network analysis, Maximum Overlap Discrete Wavelet Transform (MODWT) for time series decomposition, Spearman correlation, and complex network construction.

Main Results

• Precipitation extremes at shorter time scales are primarily driven by proximal oceanic regions (Bay of Bengal, Arabian Sea, Eastern Indian Ocean) due to strong monsoon–SST coupling via moisture convergence and synoptic convection.
• As the temporal scale increases, remote SST influences from the Atlantic, Pacific, and Southern Hemisphere oceans become increasingly dominant, attributed to atmospheric teleconnections, jet stream modulation, and cross‐equatorial moisture transport.
• Interannual scales exhibit the widest and most diverse SST control over precipitation extremes.
• Decadal-scale influence is generally weak and shows region-specific patterns.
• Regional analysis revealed distinct propagation pathways: West Central India shows consistent multiscale sensitivity, Central Northeast and Northeast India transition from local to global SST control, and South Peninsular India retains strong regional dominance.

Contributions

• Provides novel multiscale and regional insights into the complex linkages between SST extremes and precipitation extremes in India using a wavelet-based complex network analysis.
• Underscores the critical necessity of integrating both regional and global SST indices into forecasting frameworks to improve prediction and climate adaptation strategies in India.

Funding

Not available in the abstract.

Citation

@article{Reddy2025Exploring,
  author = {Reddy, V. M. and Ray, Litan Kumar and Manikanta, Velpuri},
  title = {Exploring the Influence of Sea Surface Temperature Extremes on Precipitation Extremes Across India's Climate Zones: A Complex Network Approach},
  journal = {International Journal of Climatology},
  year = {2025},
  doi = {10.1002/joc.70172},
  url = {https://doi.org/10.1002/joc.70172}
}