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.

Hydropower as the world’s largest source of renewable energy still has a high unused potential to be explored in times of a changing global energy policy. The economic and ecological evaluation of new hydropower developments rely on a number of environmental conditions, such as key hydrological parameters. For example, the major drivers of the reservoir storage capacity over time, reservoir life time, and also a major driver of the operations costs are directly related to the sediment regime and sediment trapping. HYPOS is catalyzing innovation with an operational service for appropriate environmental and economic investment planning and monitoring based on Earth Observation (EO) technologies and modelling for the Hydropower industry. The to developed online accessible Decision Support Tool will provide essential assets for hydro power managers, planners and decision makers in their work. The subscription portal brings together high-quality satellite based measurements for historic time periods, actual current monitoring, up-to-date modelled hydrological parameters, with nowcasting on various orderable levels of detail and available in-situ data for integrated baseline and environmental impact assessments. The service significantly contributes on a trans-national as well as a global scale, with the requirement of independent, standardized and consistent information over a wide range of different water bodies and spatial scales. Substantial Blue Footprint analysis are enabled based on sophisticated and state-of-the-art algorithms and methodology featuring sustainable long-term monitoring solutions.