Journal
JOURNAL OF CLIMATE
Volume 26, Issue 16, Pages 5897-5914Publisher
AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-12-00419.1
Keywords
Climate sensitivity; Feedback; Paleoclimate; General circulation models
Categories
Funding
- Paleo Perspectives on Climate Change program of the National Science Foundation [ATM0902735]
- Directorate For Geosciences
- Div Atmospheric & Geospace Sciences [0902735, 0902926] Funding Source: National Science Foundation
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Radiative feedbacks influence Earth's climate response to orbital forcing, amplifying some aspects of the response while damping others. To better understand this relationship, the GFDL Climate Model, version 2.1 (CM2.1), is used to perform idealized simulations in which only orbital parameters are altered while ice sheets, atmospheric composition, and other climate forcings are prescribed at preindustrial levels. These idealized simulations isolate the climate response and radiative feedbacks to changes in obliquity and longitude of the perihelion alone. Analysis shows that, despite being forced only by a redistribution of insolation with no global annual-mean component, feedbacks induce significant global-mean climate change, resulting in mean temperature changes of -0.5 K in a lowered obliquity experiment and +0.6 K in a NH winter solstice perihelion minus NH summer solstice perihelion experiment. In the obliquity experiment, some global-mean temperature response may be attributable to vertical variations in the transport of moist static energy anomalies, which can affect radiative feedbacks in remote regions by altering atmospheric stability. In the precession experiment, cloud feedbacks alter the Arctic radiation balance with possible implications for glaciation. At times when the orbital configuration favors glaciation, reductions in cloud water content and low-cloud fraction partially counteract changes in summer insolation, posing an additional challenge to understanding glacial inception. Additionally, several systems, such as the Hadley circulation and monsoons, influence climate feedbacks in ways that would not be anticipated from analysis of feedbacks in the more familiar case of anthropogenic forcing, emphasizing the complexity of feedback responses.
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