Summary
Sea ice in the Arctic region is retreating at fast pace with potential impacts on the weather and climate at mid and high latitudes, as well as the biosphere and society. Sea-ice loss is driven by anthropogenic global warming, atmospheric circulation changes, climate feedbacks, and ocean heat transport. To date, no clear consensus regarding the detailed impact of the latter (ocean heat transport) on Arctic sea ice exists. Conversely, the changing sea ice also affects ocean heat transport, but this effect is much less studied. Therefore, this action proposes to explore the two-way interactions between ocean heat transport and Arctic sea ice. To this end, we will use a state-of-the-art global climate model (EC-Earth) and perform different sensitivity experiments to gain insights into these important interactions. Based on the results from these experiments, we will refine model projections of Arctic sea ice. Comparison to observations will be carried out to ensure that model simulations are realistic. We will also assess the impact of model spatial resolution on the relationships between ocean heat transport and Arctic sea ice, as an extension of the work performed within the EU PRIMAVERA project (PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment). This action will allow to provide more reliable and robust information on regional Arctic sea-ice present and future changes to users and stakeholders. Finally, this project is highly interdisciplinary as it combines three key components of the climate system (i.e. the ocean, sea ice, and atmosphere), and will be done in collaboration with the NordForsk ARCPATH project (Arctic Climate Predictions: Pathways to Resilient, Sustainable Societies), which focuses on improving Arctic climate predictions and better understanding socio-economic impacts of Arctic changes.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/834493 |
| Start date: | 01-11-2019 |
| End date: | 31-10-2020 |
| Total budget - Public funding: | 101 926,08 Euro - 101 926,00 Euro |
Cordis data
Original description
Sea ice in the Arctic region is retreating at fast pace with potential impacts on the weather and climate at mid and high latitudes, as well as the biosphere and society. Sea-ice loss is driven by anthropogenic global warming, atmospheric circulation changes, climate feedbacks, and ocean heat transport. To date, no clear consensus regarding the detailed impact of the latter (ocean heat transport) on Arctic sea ice exists. Conversely, the changing sea ice also affects ocean heat transport, but this effect is much less studied. Therefore, this action proposes to explore the two-way interactions between ocean heat transport and Arctic sea ice. To this end, we will use a state-of-the-art global climate model (EC-Earth) and perform different sensitivity experiments to gain insights into these important interactions. Based on the results from these experiments, we will refine model projections of Arctic sea ice. Comparison to observations will be carried out to ensure that model simulations are realistic. We will also assess the impact of model spatial resolution on the relationships between ocean heat transport and Arctic sea ice, as an extension of the work performed within the EU PRIMAVERA project (PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment). This action will allow to provide more reliable and robust information on regional Arctic sea-ice present and future changes to users and stakeholders. Finally, this project is highly interdisciplinary as it combines three key components of the climate system (i.e. the ocean, sea ice, and atmosphere), and will be done in collaboration with the NordForsk ARCPATH project (Arctic Climate Predictions: Pathways to Resilient, Sustainable Societies), which focuses on improving Arctic climate predictions and better understanding socio-economic impacts of Arctic changes.Status
CLOSEDCall topic
MSCA-IF-2018Update Date
28-04-2024
Images
No images available.
Geographical location(s)
