2016
DOI: 10.5194/cp-12-2011-2016
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Warm Greenland during the last interglacial: the role of regional changes in sea ice cover

Abstract: Abstract. The last interglacial, also known as the Eemian, is characterized by warmer than present conditions at high latitudes. This is implied by various Eemian proxy records as well as by climate model simulations, though the models mostly underestimate the warming with respect to proxies. Simulations of Eemian surface air temperatures (SAT) in the Northern Hemisphere extratropics further show large variations between different climate models, and it has been hypothesized that this model spread relates to d… Show more

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Cited by 19 publications
(14 citation statements)
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“…During summer, Rennermalm et al (2009) also find local correlations between sea ice cover and GrIS melt on selected parts of the east coast. Atmospheric model studies (Merz et al, 2016;Screen, 2017) also show that GS ice loss causes warming on the eastern and southern parts of Greenland; Merz et al (2016) even illustrate how GS ice loss may cause atmospheric circulation changes that causes substantial warming over Greenland (albeit under Last Interglacial climate conditions).…”
Section: 1029/2019gl083828mentioning
confidence: 99%
“…During summer, Rennermalm et al (2009) also find local correlations between sea ice cover and GrIS melt on selected parts of the east coast. Atmospheric model studies (Merz et al, 2016;Screen, 2017) also show that GS ice loss causes warming on the eastern and southern parts of Greenland; Merz et al (2016) even illustrate how GS ice loss may cause atmospheric circulation changes that causes substantial warming over Greenland (albeit under Last Interglacial climate conditions).…”
Section: 1029/2019gl083828mentioning
confidence: 99%
“…MAR is a regional atmospheric model fully coupled to the land surface model SISVAT (Soil Ice Snow Vegetation Atmosphere Transfer) which includes a detailed snow energy balance model (Gallée and Duynkerke, 1997). The atmospheric part of MAR uses the solar radiation scheme of Morcrette et al (2008) and accounts for the atmospheric hydrological cycle (including a cloud microphysical model) based on Lin et al (1983) and Kessler (1969). The snow-ice part of MAR is derived from the snowpack model Crocus (Brun et al, 1992).…”
Section: Modèle Atmosphérique Régional (Mar)mentioning
confidence: 99%
“…Several attempts to solve this paradox have been made by suggesting possible biases in the interpretation of the relationship between isotope ratio and temperature, which may not be assumed temporally and spatially constant (e.g. Merz et al, 2014;Sjolte et al, 2014;Steen-Larsen et al, 2014;Masson-Delmotte et al, 2015) or may be affected by changes in the precipitation regime and sea ice conditions (Merz et al, 2016;Pedersen et al, 2016). From a modelling point of view, the decisive question is over what spatial extent and when during the year the temperature reconstruction (and possible future reinterpretations) for the NEEM site should be assumed.…”
Section: Global Sea-level Changementioning
confidence: 99%
“…Several studies have therefore attempted to identify possible biases in the NEEM reconstructions (e.g. van de Merz et al, 2014Merz et al, , 2016Sjolte and Hoffmann, 2014;Steen-Larsen et al, 2014;Masson-Delmotte et al, 2015;Pedersen et al, 2016). Furthermore, the minimum extent and margin position of the north-eastern part of the ice sheet is not well constrained, leaving room for alternative retreat scenarios (e.g.…”
Section: Introductionmentioning
confidence: 99%