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 extensiv...

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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: 2021
Subjects:
article
ScholarlyArticle
ddc:550
Published Version
Greenland
Surface
Temperature
Pacific
Ice Sheet
Online Access:https://doi.org/10.1029/2020GL088922
https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2021-00702-4
https://macau.uni-kiel.de/receive/macau_mods_00001532
https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/macau_derivate_00002593/2020GL088922(1).pdf
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 fi nd remote forcing from the Paci fi c of critical importance. Atmospheric teleconnections from the Interdecadal Paci fi c Oscillation (IPO), a multidecadal oscillation of sea surface temperature in the Paci fi c Ocean, strongly intensify under LGM conditions, driving enhanced surface wind variability over Greenland, which in turn ampli fi es 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.

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