Unbekannt
PANGAEA
In:
Supplement to: Lapointe, François; Francus, Pierre; Lamoureux, Scott F; Vuille, Mathias; Jenny, Jean-Philippe; Bradley, Raymond S; Massa, Charly (2017): Influence of North Pacific decadal variability on the western Canadian Arctic over the past 700 years. Climate of the Past, 13(4), 411-420, https://doi.org/10.5194/cp-13-411-2017
Publikationsdatum:
2023-06-27
Beschreibung:
Understanding how internal climate variability influences arctic regions is required to better forecast future global climate variations. This paper investigates an annually-laminated (varved) record from the western Canadian Arctic and finds that the varves are negatively corre- lated with both the instrumental Pacific Decadal Oscillation (PDO) during the past century and also with reconstructed PDO over the past 700 years, suggesting drier Arctic con- ditions during high-PDO phases, and vice versa. These results are in agreement with known regional teleconnections, whereby the PDO is negatively and positively correlated with summer precipitation and mean sea level pressure respec- tively. This pattern is also evident during the positive phase of the North Pacific Index (NPI) in autumn. Reduced sea-ice cover during summer-autumn is observed in the region during PDO (NPI+) and is associated with low-level southerly winds that originate from the northernmost Pacific across the Bering Strait and can reach as far as the western Cana- dian Arctic. These climate anomalies are associated with the PDO (NPI+) phase and are key factors in enhancing evaporation and subsequent precipitation in this region of the Arctic. Collectively, the sedimentary evidence suggests that North Pacific climate variability has been a persistent regulator of the regional climate in the western Canadian Arctic. Since projected sea-ice loss will contribute to enhanced future warming in the Arctic, future negative phases of the PDO (or NPI+) will likely act to amplify this positive feedback.
Schlagwort(e):
Cape Bounty East Lake, Canada; CBEL; CDRILL; Core drilling
Materialart:
Dataset
Format:
application/zip, 5 datasets
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