Late Pliocene to Pleistocene sensitivity of the Greenland Ice Sheet in response to external forcing and internal feedbacks

Koenig, S. J.; DeConto, Robert M.; Pollard, David

doi:10.1007/s00382-011-1050-0

Cited by 42 publications

(55 citation statements)

References 99 publications

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“…Comparisons with a preindustrial control run show that differences in MTWM at Lake E during MIS 1 and 5e (+2.1 and +4.2 • C) are similar to the changes seen in MIS11NG and MIS 31(+2.2 and +3.5 • C) ( Table 2). Similar warming has been seen in other modeling studies, showing that a high obliquity and high eccentricity with precession aligning perihelion with boreal summer will yield the warmest boreal summer temperatures (Koenig et al, 2011;Otto-Bliesner et al, 2006;Yin and Berger, 2011). Strong insolation forcing at these latitudes causes July maximum temperatures to exceed preindustrial temperatures by > 2 • C. The 2-4 • C simulated MIS-5e warming in Siberia and Lake E has also been seen in proxy data compilations (CAPE, 2006;Lozhkin and Anderson, 1995;Lozhkin et al, 2006) and in simulations using a GCM without vegetation feedbacks (Otto-Bliesner et al, 2006).…”

Section: Discussionsupporting

confidence: 87%

A GCM comparison of Pleistocene super-interglacial periods in relation to Lake El'gygytgyn, NE Arctic Russia

et al. 2015

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Abstract. Until now, the lack of time-continuous, terrestrial paleoenvironmental data from the Pleistocene Arctic has made model simulations of past interglacials difficult to assess. Here, we compare climate simulations of four warm interglacials at Marine Isotope Stages (MISs) 1 (9 ka), 5e (127 ka), 11c (409 ka) and 31 (1072 ka) with new proxy climate data recovered from Lake El'gygytgyn, NE Russia. Climate reconstructions of the mean temperature of the warmest month (MTWM) indicate conditions up to 0.4, 2.1, 0.5 and 3.1 • C warmer than today during MIS 1, 5e, 11c and 31, respectively. While the climate model captures much of the observed warming during each interglacial, largely in response to boreal summer (JJA) orbital forcing, the extraordinary warmth of MIS 11c compared to the other interglacials in the Lake El'gygytgyn temperature proxy reconstructions remains difficult to explain. To deconvolve the contribution of multiple influences on interglacial warming at Lake El'gygytgyn, we isolated the influence of vegetation, sea ice and circum-Arctic land ice feedbacks on the modeled climate of the Beringian interior. Simulations accounting for climate-vegetation-land-surface feedbacks during all four interglacials show expanding boreal forest cover with increasing summer insolation intensity. A deglaciated Greenland is shown to have a minimal effect on northeast Asian temperature during the warmth of stages 11c and 31 (Melles et al., 2012). A prescribed enhancement of oceanic heat transport into the Arctic Ocean does have some effect on Lake El'gygytgyn's regional climate, but the exceptional warmth of MIS l1c remains enigmatic compared to the modest orbital and greenhouse gas forcing during that interglacial.

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Section: Discussionsupporting

confidence: 87%

A GCM comparison of Pleistocene super-interglacial periods in relation to Lake El'gygytgyn, NE Arctic Russia

et al. 2015

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“…Previous studies have suggested that dynamical vegetation changes can amplify the (continental) precipitation response to precession by altering surface albedo and soil moisture (Tuenter 2004;Claussen et al 2006;Timm et al 2010;Koenig et al 2011). We do indeed find that surface albedo changes in JJA amplify the TOA insolation forcing.…”

Section: •-supporting

confidence: 75%

Mechanisms rectifying the annual mean response of tropical Atlantic rainfall to precessional forcing

Tigchelaar

Timmermann

2015

Clim Dyn

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“…The climate model provides monthly air temperature and precipitation to the interpolation and PDD schemes in steps 1 and 3 above (e.g., DeConto and Pollard, 2003;Koenig et al, 2011;DeConto et al, 2011), or provides its own annual surface mass budgets calculated with full climate-model physics directly to the ice model.…”

Section: Input Datasets and Climate Forcingmentioning

confidence: 99%

“…Early model versions without floating ice (SIA only) were applied to paleo Antarctica (DeConto and Pollard 2003a, b;DeConto, 2003, 2005;DeConto et al, 2007) and to other ice sheets and times (Herrmann et al, 2003(Herrmann et al, , 2004Pollard and Kasting, 2004;Horton et al, 2007Horton et al, , 2010DeConto et al, 2008;Koenig et al, 2011). Other recent applications using the floating shelf component include PD07, PD09, PD12, Alley et al (2007), Ackert et al (2011), Fyke et al (2011), Mackintosh et al (2011), DeConto et al (2012), Gomez et al (2012) and Mukhopadhay et al (2012).…”

Section: Introductionmentioning

confidence: 99%

Description of a hybrid ice sheet-shelf model, and application to Antarctica

2012

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Abstract. The formulation of a 3-D ice sheet-shelf model is described. The model is designed for long-term continentalscale applications, and has been used mostly in paleoclimatic studies. It uses a hybrid combination of the scaled shallow ice and shallow shelf approximations for ice flow. Floating ice shelves and grounding-line migration are included, with parameterized ice fluxes at grounding lines that allows relatively coarse resolutions to be used. All significant components and parameterizations of the model are described in some detail. Basic results for modern Antarctica are compared with observations, and simulations over the last 5 million years are compared with previously published results. The sensitivity of ice volumes during the last deglaciation to basal sliding coefficients is discussed.

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Late Pliocene to Pleistocene sensitivity of the Greenland Ice Sheet in response to external forcing and internal feedbacks

Cited by 42 publications

References 99 publications

A GCM comparison of Pleistocene super-interglacial periods in relation to Lake El'gygytgyn, NE Arctic Russia

A GCM comparison of Pleistocene super-interglacial periods in relation to Lake El'gygytgyn, NE Arctic Russia

Mechanisms rectifying the annual mean response of tropical Atlantic rainfall to precessional forcing

Description of a hybrid ice sheet-shelf model, and application to Antarctica

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