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Major Large-Scale Climate Oscillations and Their Interactions with Atmospheric Rivers

  • Manish Kumar Goyal,
  • Shivam Singh

摘要

Climate oscillations and atmospheric rivers (ARs) are fundamental components of Earth's climate system, with a profound impact on global weather patterns and regional hydrology. Understanding the intricate interactions between these phenomena is crucial for enhancing climate resilience and managing extreme weather risks. We analyzed the correlations between large-scale climate oscillations (LSCOs) and precipitation extremes potentially influenced by ARs using statistical modeling techniques. We compared the relative influence of LSCOs (ENSO, NAO, AO, and PDO) to identify key drivers in spatiotemporal variability of precipitation extremes. Our analysis revealed significant associations between LSCOs and ARs, particularly in regions like North America and Europe. Notably, the Pacific Decadal Oscillation (PDO) emerged as a key factor influencing extreme precipitation patterns, with seasonal variations capturing these variations more effectively during certain time scales. These findings have important implications for climate forecasting, water resource management, and adaptation strategies. By understanding and leveraging the connections between LSCOs, ARs, and precipitation extremes, we can improve our capacity to forecast and lessen the consequences of climate fluctuations and shifts.