Bjerknessenterets mål er å forstå klima
til nytte for samfunnet.

More than 50 mill NOK for Arctic sea ice and Greenland ice sheet research

What will happen to the Greenland Ice Sheet if the Arctic sea ice covers disappears? The European Research Council (ERC) has granted paleoclimate researchers at the University of Bergen and Uni Research more than 50 mill NOK for five years  of research.

Body

Earlier this year Kerim Nisancioglu, Trond Dokken and Eystein Jansen together with danish colleagues Jens Hesselbjerg Christensen and Bo Møllesøe Vinther submitted the proposal "Arctic Sea Ice and Greenland Ice Sheet Sensitivity (Ice2Ice)" to the ERCs Synergy Grant Call earlier this year. Sunday a positive answer came from Brussels, which means a five year funding of about 100 mill NOK, of which approximately 11-12 mill NOK per year are shared between the paleo researchers at Uni Climate and UiB, Department of Earth Science.

The ERC Synergy Grants are intended to enable a small group of Principal Investigators and their teams to bring together complementary skills, knowledge, and resources in new ways, in order to jointly address research problems of high scientific  importance.

– This is a great acknowlegdement. No project with Norwegian or Danish participants has earlier reached the final stages of the Synergy Grant competition. Only three per cent of the proposals were funded, says Eystein Jansen, the Director of the Bjerknes Centre for Climate Research.

Jansen is also a professor of marine geology, and is one of the four principal investigators in the Ice2Ice project. The three others are Kerim Nicancioglu, associate professor Department of Earth Science, UiB, Jens Hesselbjerg Christensen at the Danish Meteorological Institute, and Bo Møllesøe Vinther at Niels Bohr Institute, the University of Copenhagen.


Changes are already happening
At present, both Arctic Sea ice and the Greenland ice sheet are in strong transformation: Arctic sea ice cover has been retreating during most of the satellite era and in recent years, Arctic sea ice experienced a dramatic reduction, and the extent was in 2012 half of the 1979-2000 average.


Figur: NSDIC


The climate system is intimately coupled and changes are interconnected in both space and time. While gradual changes can often be seen as slow adjustments to changes in large scale external forcing, abrupt changes are caused by poorly understood complex interactions involving internal dynamics of the climate system. The large abrupt changes experienced during glacial times are recorded in well documented climate archives from land, ocean sediments and ice cores.

In the case of the Greenland Ice Sheet ice cores, the cause for the abrupt warmings are still not resolved, despite intensive research since their discovery in the early 1980s. It is clear that sediment cores from the Nordic Seas document similar abrupt warming events with sudden reductions in sea ice cover,and several studies have pointed to sudden demis of the sea ice cover as a cause for the abruptness of Greenland wamring, yet the mechanism behind the sea ice loss and the reasons it did not quickly reform again is not understood.


Sea ice cover might control Greenland temperature
Ice2Ice is the first concerted effort to tackle the first order question of the cause and future implications of past abrupt climate changes in Greenland, a key hypothesis being that Arctic and sub-Arctic sea ice cover excerts important controls on past and future Greenland temperature and ice sheet variations.

Ice2Ice combines understanding of interconnections of sea-ice and the Greenland ice sheet in the past with research on their interconnectivity and sensitivity under modern and future conditions. The knowledge and competence required to solve such a complex question exists, thanks to recent advances in the empirical sciences with the development of high quality, high resolution, synchronized proxy records of key system parameters, and in the physical sciences with advances in dynamical process studies and the development of global and regional climate models.