Global Warming Is Likely Affecting Regional Drought Across Eurasia

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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Publication Details

Journal
AGU Advances
Published
2025-02-01
DOI
https://doi.org/10.1029/2024av001289
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21
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article

Global Warming Is Likely Affecting Regional Drought Across Eurasia

Edward R. Cook, Kate Marvel, Benjamin I. Cook
2 citations
AGU Advances
Climate variability and models
2.21
article

Global Warming Is Likely Affecting Regional Drought Across Eurasia

Edward R. Cook, Kate Marvel, Benjamin I. Cook
article en
2 citations

Abstract

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.

AGU AdvancesVol. 6(1)
Goddard Institute for Space Studies (US), Lamont-Doherty Earth Observatory (US), Columbia University (US)
Openalex Percentile: Top 15%
Climate variability and models
2.21
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Global Warming Is Likely Affecting Regional Drought Across Eurasia — Edward R. Cook, Kate Marvel, et al. · AGU Advances (2025) | TGRS Research Map | TGRS