2014
DOI: 10.5194/cp-10-2115-2014
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Evidence for a three-phase sequence during Heinrich Stadial 4 using a multiproxy approach based on Greenland ice core records

Abstract: Abstract. Glacial climate was characterised by two types of abrupt events. Greenland ice cores record Dansgaard–Oeschger events, marked by abrupt warming in-between cold, stadial phases. Six of these stadials appear related to major Heinrich events (HEs), identified from ice-rafted debris (IRD) and large excursions in carbon- and oxygen-stable isotopic ratios in North Atlantic deep sea sediments, documenting major ice sheet collapse events. This finding has led to the paradigm that glacial cold events are indu… Show more

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Cited by 55 publications
(61 citation statements)
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References 130 publications
(196 reference statements)
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“…The 17 O-excess decreases in the evaporating water and increases in the vapor phase when RH decreases at evaporative sites (e.g., sea surface, lake surface, soil surface or leaf surface). Over the last 10 years, a few studies have used the 17 O-excess of water to interpret ice core archives in climatic terms (Guillevic et al, 2014, Schoeneman et al, 2014Winkler et al, 2012;Landais et al, 2008Landais et al, , 2012. They supported that 17 O-excess is a marker of RH, sea-ice extent at the moisture source, and air mass mixing (Risi et al, 2010) except at the very high latitudes of East Antarctica where temperature can have a significant influence.…”
Section: Introductionmentioning
confidence: 95%
See 1 more Smart Citation
“…The 17 O-excess decreases in the evaporating water and increases in the vapor phase when RH decreases at evaporative sites (e.g., sea surface, lake surface, soil surface or leaf surface). Over the last 10 years, a few studies have used the 17 O-excess of water to interpret ice core archives in climatic terms (Guillevic et al, 2014, Schoeneman et al, 2014Winkler et al, 2012;Landais et al, 2008Landais et al, , 2012. They supported that 17 O-excess is a marker of RH, sea-ice extent at the moisture source, and air mass mixing (Risi et al, 2010) except at the very high latitudes of East Antarctica where temperature can have a significant influence.…”
Section: Introductionmentioning
confidence: 95%
“…They supported that 17 O-excess is a marker of RH, sea-ice extent at the moisture source, and air mass mixing (Risi et al, 2010) except at the very high latitudes of East Antarctica where temperature can have a significant influence. The observed variations of 17 O-excess in Greenland ice cores of ∼ 20 per meg maximum were thus interpreted as variations of RH or sea-ice extent in the source region and coincide with variations in the low-to mid-latitude water cycle as recorded by other proxies (such as CH 4 or δD of CH 4 ) (Guillevic et al, 2014). An even smaller number of studies measured or attempted to model the 17 O-excess of rainwater at low and temperate latitudes (Affolter et al, 2015;Landais et al, 2010b;Li et al, 2015;Luz and Barkan, 2010;Risi et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Modeling results show that the European climate was particularly impacted by switches between weakened or enhanced modes of the Atlantic Meridional Overturning Circulation through the transportation of North Atlantic air masses by Westerlies (6). Still, there are growing evidences that Greenland high-resolution climate records do not exhibit the full lowerlatitude climate variability, especially during cold periods (i.e., no distinction of Heinrich events) (7,8). There is thus an urgent need for well-dated high-resolution records of millennial-timescale climatic variability at midlatitudes.…”
mentioning
confidence: 99%
“…A linear interpolation is then performed between match points to calculate the Siple Dome gas age. Green line: NEEM atmospheric δ 18 O, ‰ (±0.03 ‰; Guillevic et al, 2014). Colored areas: GSs.…”
Section: Oxygen Isotopes Mass Balance Modelmentioning
confidence: 99%
“…For this period of millennial-scale variability, highresolution measurements of δ 18 O atm have been obtained in Greenland and Antarctic ice cores (e.g., Guillevic et al, 2014;Landais et al, 2007aLandais et al, , 2010Severinghaus et al, 2009). In Fig.…”
Section: Introductionmentioning
confidence: 99%