Global Warming Is Likely Affecting Regional Drought Across Eurasia

IF 8.3 Q1 GEOSCIENCES, MULTIDISCIPLINARY AGU Advances Pub Date : 2025-02-13 DOI:10.1029/2024AV001289
Kate Marvel, Benjamin I. Cook, Edward Cook
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Abstract

While rising global temperatures have altered global drought risk and are projected to continue to change large-scale hydroclimate, it has proved difficult to detect the influence of external factors on drought-relevant variables at regional scales. In addition to the inherent difficulty in identifying signals in noisy data, detection and attribution studies generally rely on general circulation models, which may fail to accurately capture the characteristics of naturally forced and internal hydroclimate variability. Here, we use a long tree-ring based paleoclimate record of drought to estimate pre-industrial variability in the Palmer Drought Severity Index (PDSI), a commonly used metric of drought risk. Using a Bayesian framework, we estimate the temporal and spatial characteristics of hydroclimate variability prior to 1850. We assess whether observed twenty-first century PDSI is compatible with this pre-industrial variability or is better explained by a forced response that scales with the global mean temperature. Our results suggest that global warming likely contributed to dry PDSI in Eastern Europe, the Mediterranean, and Arctic Russia and to wet PDSI in Northern Europe, East-central Asia, and Tibet.

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全球变暖可能影响欧亚大陆的区域性干旱
虽然全球气温上升改变了全球干旱风险,并预计将继续改变大尺度水文气候,但事实证明很难在区域尺度上发现外部因素对干旱相关变量的影响。除了在噪声数据中识别信号的固有困难之外,探测和归因研究通常依赖于一般环流模式,这可能无法准确捕捉自然强迫和内部水文气候变率的特征。在这里,我们使用基于树木年轮的干旱古气候记录来估计帕尔默干旱严重指数(PDSI)的工业化前变异,这是一种常用的干旱风险度量。利用贝叶斯框架估计了1850年以前水文气候变率的时空特征。我们评估21世纪观测到的PDSI是否与这种工业化前变率相容,或者是否可以用与全球平均温度成比例的强迫响应来更好地解释。我们的研究结果表明,全球变暖可能导致东欧、地中海和俄罗斯北极地区的干燥PDSI,以及北欧、中亚东部和西藏的潮湿PDSI。
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