The main objective of AdriaClim is to improve climate resilience in the cooperation area, by increasing the capacity to develop new climate adaptation plans and update existing ones and develop mitigation strategies based on high resolution, more accurate and reliable climate information (observations and integrated modeling) focussed on the coastal and marine areas (threatened by risks such as sea level rise, sea temperature and salinity anomalies, coastal erosion and salinization of freshwater) and related economic sectors and ecosystem services. AdriaClim aims at developing an Adriatic scale regional plus local scale for each Pilot integrated information systems composed by hydro-meteo-marine climatological databases (model scenarios and observation) and knowledge-based tools (e.g indicators) for advanced dynamical implementation of regional climate adaptation plans relevant and accessible for entire the Programme area and Countries.
The EU-funded AtlantECO project aims to develop and apply a novel, unifying framework that provides knowledge-based resources for a better understanding and management of the Atlantic Ocean and its ecosystem services. AtlantECO will engage with citizens and actors from the industry and policy sectors in order to stimulate responsible behaviour and Blue Growth. The project focuses on three pillars of research: microbiomes, plastic and the plastisphere, and seascape connectivity. In pursuit of this goal, AtlantECO is bringing together experts and pioneers from Europe, South America and South Africa with the relevant resources, knowledge and experience.
CASCADE will develop a set of concerted and coordinated actions including monitoring (observing and modeling) and management (Maritime Spatial Planning – MSP, Integrated Coastal Zone Management – ICZM, Land-Sea Interaction – LSI) to enhance the knowledge and to evaluate the quality and assess the vulnerability of inland, coastal and marine ecosystems in Italy and Croatia with the final objective to restore endangered species and to support integrated management. The integrated modeling and observing systems will be developed to design and implement MSP/LSI/ICZM, management and restoration actions in 11 pilot areas. Pilot actions will assess and protect coastal and marine biodiversity in degraded areas, set up restoration actions, assess the impacts of extreme events on ecosystems and understand how to avoid conflicts and boost synergies in the areas. The project will consolidate long-lasting research capabilities in the field through a concrete dialogue with stakeholders and the participation of Agencies, research centers and universities in order to enhance inland, coastal and marine knowledge. Such shared information and monitoring protocols are essential for supporting concrete actions dealing with environmental vulnerability, fragmentation and safeguarding of ecosystem services at cross-border level.
Global change from anthropogenic forcing will have significant impacts at regional and coastal scales on marine systems and dependent socioeconomic systems and ecosystem services and can strongly interact with regional/local drivers such as fishing, pollution, and eutrophication. A capacity to understand and predict these impacts on regional seas and coasts is essential for developing robust strategies for adaptation and mitigation and therefore for the EU’s fulfilment of UN SDGs 13 and 14 but also 2, 6,8, 9, 11, 12, since regional seas and coastal areas support food production, water quality, and industrial/economic activities such as fisheries and aquaculture). Projections of climate and ocean change have been delivered at global or basin scales using Global Climate or Earth System Models (ESMs). However, such models are not able to provide the necessary resolution of physical processes that determine fluxes of carbon, nutrients, heat, and light which in turn control the growth response of the marine food web and thereby ecosystem services such as food supply to fisheries/aquaculture, water quality control, and carbon sequestration. Another limitation of ESMs is that the representation of the marine food web tends to be highly simplified which in turn limits the ability to capture potential shifts in planktonic community structure and elemental stoichiometry and thereby resulting impacts/feedbacks on services. CE2COAST is the coordinated assemblage and analysis of observational and modelling data to deliver state, trends and variability of pressures on ocean services resulting from ocean and coastal climate and biogeochemical change at the European and global scale.
The Arctic and Antarctic regions are experiencing rapid and unprecedented changes due to polar and global climate change, clearly caused by anthropogenic activities. 21st century projections show substantial decrease of sea ice in both Arctic and Antarctic, which are expected to impact people in the Arctic and also society beyond polar regions. CRiceS aims to investigate how rapid sea ice decline is interlinked with physical and chemical changes in the polar oceans and atmosphere, and to fully understand the causes and consequences of this polar transition. CRiceS will quantify the controlling chemical, biogeochemical, and physical interactions within the coupled ocean-ice/snow-atmosphere system through comprehensive analysis of new and emerging in-situ and satellite observations, and will improve numerical descriptions of sea ice dynamics/energy exchange, aerosols, clouds and radiation, biogeochemical exchanges. This improved understanding allows for improved quantification of feedback mechanisms and teleconnections within the Earth system.
ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction, and provide the key components for representative benchmarks to be deployed on extreme-scale demonstrators and beyond.
ESiWACE2 will deliver configurations of leading models that can make efficient use of the largest supercomputers in Europe and run at unprecedented resolution for high-quality weather and climate predictions. It will develop HPC benchmarks, increase flexibility to use heterogeneous hardware and co-design and provide targeted education and training for one of the most challenging applications to shape the future of HPC in Europe.
Although the Ocean is a fundamental part of the global system providing a wealth of resources, there are fundamental gaps in ocean observing and forecasting system, limiting our capacity in Europe to sustainably manage the ocean and its resources. EuroSea works to improve the European ocean observing and forecasting system in a global context, delivering ocean observations and forecasts to advance scientific knowledge about ocean climate, marine ecosystems and their vulnerability to human impacts and to demonstrate the importance of the ocean to an economically viable and healthy society. The EuroSea vision is to advance research and innovation towards a user-focused, truly interdisciplinary, and responsive European ocean observing and forecasting system, that delivers the essential information needed for human wellbeing and safety, sustainable development and blue economy in a changing world. The EuroSea mission is co-designing European ocean observing and forecasting services and products that deliver information and support decision-making in the areas of climate, coastal and maritime activities, and ocean health.
IS-ENES is a key research infrastructure for climate modelling. It is actually the distributed infrastructure of the European Network for Earth System modelling (ENES) that serves the European modelling community working on understanding and predicting climate variability and change.
STREAM consortium will create or update flood cadastre for fluvial, urban and coastal flooding in the program area. Moreover, it will develop flood risk maps on the basis on flood cadastre data and collect available official data and layers already realized at national and regional level, supporting to the definition of flood risk plans. Through the International Flood platform, the STREAM project will enhance data sharing and access to advanced functionalities, allowing at the same time the current existing systems to stay in place without changing their operational workflows and also fostering the partners’ capacities to deal with required data standards at EU level and beyond. The STREAM project will develop an integrated probabilistic ensemble forecasting system for the coastal and inland areas. A multi-model system will provide sea conditions, including storm surge and waves contributions and total sea level forecast over the whole Adriatic and Ionian seas, allowing also the integration of the sea forecasts into site specific newly developed and existing coastal forecasting systems.