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Modeled Influence of Land Ice and CO 2 on Polar Amplification and Paleoclimate Sensitivity During the Past 5 Million Years
Author(s) -
Stap L. B.,
van de Wal R. S. W.,
de Boer B.,
Köhler P.,
Hoencamp J. H.,
Lohmann G.,
Tuenter E.,
Lourens L. J.
Publication year - 2018
Publication title -
paleoceanography and paleoclimatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.927
H-Index - 127
eISSN - 2572-4525
pISSN - 2572-4517
DOI - 10.1002/2017pa003313
Subject(s) - paleoclimatology , climatology , northern hemisphere , polar , forcing (mathematics) , climate change , environmental science , atmospheric sciences , climate sensitivity , climate model , latitude , southern hemisphere , sea ice , geology , radiative forcing , insolation , oceanography , physics , geodesy , astronomy
Polar amplification and paleoclimate sensitivity ( S ) have been the subject of many paleoclimate studies. While earlier studies inferred them as single constant parameters of the climate system, there are now indications that both are conditioned by the type of forcing. Moreover, they might be affected by fast feedback mechanisms that have different strengths depending on the background climate. Here we use the intermediate complexity climate model CLIMBER‐2 to study the influence of land ice and CO 2 on polar amplification and S . We perform transient 5‐Myr simulations, forced by different combinations of insolation, land ice, and CO 2 . Our results provide evidence that land ice and CO 2 changes have different effects on temperature, both on the global mean and the meridional distribution. Land ice changes are mainly manifested in the high latitudes of the Northern Hemisphere. They lead to higher northern polar amplification, lower southern polar amplification, and lower S than more homogeneously distributed CO 2 forcing in CLIMBER‐2. Furthermore, toward colder climates northern polar amplification increases and consequently southern polar amplification decreases, due to the albedo‐temperature feedback. As an effect, a global average temperature change calculated from high‐latitude temperatures by using a constant polar amplification would lead to substantial errors in our model setup. We conclude that to constrain feedback strengths and climate sensitivity by paleoclimate data, the underlying forcing mechanisms and background climate states have to be taken into consideration.