Interdecadal Pacific Oscillation Drives Enhanced Greenland Surface Temperature Variability During the Last Glacial Maximum

Stable oxygen isotope records from central Greenland suggest disproportionally large long‐term surface air temperature (SAT) variability during the Last Glacial Maximum (LGM) relative to preindustrial times. Large perturbations in mean atmospheric circulation and its variability forced by extensive...

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Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Song, Zhaoyang, Latif, Mojib, Park, Wonsun, Zhang, Yuming
Format: Article in Journal/Newspaper
Language:English
Published: AGU (American Geophysical Union) 2020
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/51271/
https://oceanrep.geomar.de/id/eprint/51271/1/2020GL088922.pdf
https://oceanrep.geomar.de/id/eprint/51271/2/grl61599-sup-0001-2020gl088922-si.docx
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088922
https://doi.org/10.1029/2020GL088922
Description
Summary:Stable oxygen isotope records from central Greenland suggest disproportionally large long‐term surface air temperature (SAT) variability during the Last Glacial Maximum (LGM) relative to preindustrial times. Large perturbations in mean atmospheric circulation and its variability forced by extensive Northern Hemisphere ice sheet coverage have been suggested as cause for the enhanced Greenland SAT variability. Here, we assess the factors driving Greenland SAT variability during the LGM by means of dedicated climate model simulations and find remote forcing from the Pacific of critical importance. Atmospheric teleconnections from the Interdecadal Pacific Oscillation (IPO), a multidecadal oscillation of sea surface temperature in the Pacific Ocean, strongly intensify under LGM conditions, driving enhanced surface wind variability over Greenland, which in turn amplifies SAT variability by anomalous atmospheric heat transport. A major role of the IPO in forcing Greenland SAT variability also is supported by a number of models from the Paleoclimate Modeling Intercomparison Project Phase III