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Results from the Ice-Sheet Model Intercomparison Project–Heinrich Event INtercOmparison (ISMIP HEINO)
Calov, R.; Greve, R.; Abe-Ouchi, A.; Bueler, E.; Huybrechts, P.; Johnson, J.V.; Pattyn, F.; Pollard, D.; Ritz, C.; Saito, F.; Tarasov, L. (2010). Results from the Ice-Sheet Model Intercomparison Project–Heinrich Event INtercOmparison (ISMIP HEINO). J. Glaciol. 56(197): 371-383. https://dx.doi.org/10.3189/002214310792447789
In: Journal of Glaciology. International Glaciological Society: Cambridge. ISSN 0022-1430; e-ISSN 1727-5652
Peer reviewed article  
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  • Calov, R.
  • Greve, R.
  • Abe-Ouchi, A.
  • Bueler, E.
  • Huybrechts, P.
  • Johnson, J.V.
  • Pattyn, F.
  • Pollard, D.
  • Ritz, C.
  • Saito, F.
  • Tarasov, L.
Abstract
    Results from the Heinrich Event INtercOmparison (HEINO) topic of the Ice-Sheet Model Intercomparison Project (ISMIP) are presented. ISMIP HEINO was designed to explore internal largescale ice-sheet instabilities in different contemporary ice-sheet models. These instabilities are of interest because they are a possible cause of Heinrich events. A simplified geometry experiment reproduces the main characteristics of the Laurentide ice sheet, including the sedimented region over Hudson Bay and Hudson Strait. The model experiments include a standard run plus seven variations. Nine dynamic/thermodynamic ice-sheet models were investigated; one of these models contains a combination of the shallow-shelf (SSA) and shallow-ice approximation (SIA), while the remaining eight models are of SIA type only. Seven models, including the SIA–SSA model, exhibit oscillatory surges with a period of ~1000 years for a broad range of parameters, while two models remain in a permanent state of streaming for most parameter settings. In a number of models, the oscillations disappear for high surface temperatures, strong snowfall and small sediment sliding parameters. In turn, low surface temperatures and low snowfall are favourable for the ice-surge cycles. We conclude that further improvement of ice-sheet models is crucial for adequate, robust simulations of cyclic large-scale instabilities.
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