Tropical interbasin interaction as effective predictors of late-spring precipitation variability in the Southern Great Plains

The southern Great Plains experience fluctuating precipitation extremes that significantly impact agriculture and water management. Despite ongoing efforts to enhance forecast accuracy, the underlying causes of these climatic phenomena remain inadequately understood. This study elucidates the relative influence of the tropical Pacific and Atlantic basins on April–May–June precipitation variability in this region. Our partial ocean assimilation experiments using the Community Earth System Model unveil the prominent role of interbasin interaction, with the Pacific and Atlantic contributing approximately 70% and 30%, respectively, to these interbasin contrasts. Our statistical analyses suggest that these tropical interbasin contrasts could serve as a more reliable indicator for late-spring precipitation anomalies than El Niño–Southern Oscillation. The conclusions are reinforced by analyses of seven climate forecasting systems within the North American Multi-Model Ensemble, offering an optimistic outlook for enhancing real-time forecasting of late-spring precipitation in the southern plains. However, the current predictive skills of the interbasin contrasts across the prediction systems are hindered by the lower predictability of the tropical Atlantic Ocean, pointing to the need for future research to refine climate prediction models further.

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Author Chikamoto, Y.
Wang, S. S.
Chang, H.
Castro, Christopher L.
Publisher UCAR/NCAR - Library
Publication Date 2024-11-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2025-07-10T19:57:16.747670
Metadata Record Identifier edu.ucar.opensky::articles:42444
Metadata Language eng; USA
Suggested Citation Chikamoto, Y., Wang, S. S., Chang, H., Castro, Christopher L.. (2024). Tropical interbasin interaction as effective predictors of late-spring precipitation variability in the Southern Great Plains. UCAR/NCAR - Library. https://n2t.net/ark:/85065/d70v8j3r. Accessed 06 August 2025.

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