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Published on: March 31, 2023
Northern Hemisphere hydroclimate variability over the past twelve centuries
Fredrik Charpentier Ljungqvist1,2,3, Paul J Krusic4,5, Hanna S Sundqvist3,5
1Department of History, Stockholm University, SE-10691 Stockholm, Sweden.
This study reconstructs Northern Hemisphere hydroclimate over 1200 years using proxy data. Recent wet and dry periods are contextualized, revealing long-term patterns and model simulation discrepancies.
Area of Science:
- Paleoclimatology
- Climate Science
- Hydrology
Background:
- Accurate hydroclimate modeling is crucial for predicting impacts on ecosystems, agriculture, and water resources.
- Current climate models face uncertainty due to limited historical instrumental data.
- Understanding long-term hydroclimate variability is essential for assessing global warming impacts.
Observation:
- A spatial reconstruction of Northern Hemisphere hydroclimate variability over the past twelve centuries was created using 196 millennium-long proxy records.
- The reconstruction provides a long-term context for recent hydrological changes and future precipitation scenarios.
- Prominent seesaw patterns of alternating moisture regimes have persisted across regions like the Mediterranean, western USA, and China for twelve centuries.
Findings:
- Wetter conditions were more prevalent in the 9th-11th and 20th centuries, while drier conditions dominated from the 12th to 19th centuries.
- Hydroclimate and temperature show statistically significant co-variability in specific regions, though wet/dry conditions occurred in both warm and cold regimes.
- Coupled atmosphere-ocean general circulation model simulations show reasonable agreement with pre-industrial reconstructions but overestimate the intensification of 20th-century hydroclimate anomalies.
Implications:
- Palaeoclimate data are vital for placing recent and predicted hydroclimate changes into a millennium-long perspective.
- Current climate models may not accurately capture the full range of hydroclimate variability.
- Further research is needed to improve the accuracy of hydroclimate modeling and prediction.
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