Digitalization will fundamentally change all sectors of the European economy in the next decades. At the same time, the EU is committed to reaching net-zero carbon emissions by 2050. These two transformation will undoubtedly affect each other, but the extent to which they will be mutually supporting is currently unknown. Most importantly, there is a danger that the digital transformation will delay the progress towards a net-zero carbon economy. The EU-funded 2D4D project aims at ensuring that the digital transformation is not a barrier to decarbonisation, rather an enabler. The project will identify and measure the decarbonisation consequences of three disruptive digitalisation technologies in hard-to-decarbonise sectors: additive manufacturing in industry, mobility-as-a-service in transportation, and AI in buildings. The project will produce a distinctive data collection to examine the technical and socioeconomic potential of these technologies, enhance decarbonisation narratives and ensure that digital technology supports energy transition.
Agriculture is by far the most water demanding sector in the Mediterranean and a sustainable use of water, combined with economic growth, cannot be achieved without improving irrigation efficiency and water productivity. The current heavy depletion of water sources is leading to water scarcity and degradation, deterioration of ecosystem services, conflicts with domestic and industrial uses and, in general, it poses limitations to economic growth. These trends will be exacerbated by CC. The ACQUAOUNT project aims to improve IWRM and sustainable irrigation through the deployment of innovative tools, smart water services and solutions, for public and private use, while contributing to climate resilience.
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.
CASCADES project strives to understand the conditions under which climate risks propagate beyond their geographical and temporal location in ways that may affect European stability and cohesion. It does so via a broad 360° risk assessment and deeper thematic analyses of trade, value chain, financial and political connections between Europe and the rest of the world.
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.
Weather and climate extremes pose challenges for adaptation and mitigation policies as well as disaster risk management, emphasizing the value of Climate Services in supporting strategic decision-making. Today Climate Services can benefit from an unprecedented availability of data, in particular from the Copernicus Climate Change Service, and from recent advances in Artificial Intelligence (AI) to exploit the full potential of these data. The main objective of CLINT is the development of an AI framework composed of Machine Learning (ML) techniques and algorithms to process big climate datasets for improving Climate Science in the detection, causation and attribution of Extreme Events (EE), including tropical cyclones, heatwaves and warm nights, and extreme droughts, along with compound events and concurrent extremes. Specifically, the framework will support (1) the detection of spatial and temporal patterns, and evolutions of climatological fields associated with Extreme Events, (2) the validation of the physically based nature of causality discovered by ML algorithms, and (3) the attribution of past and future Extreme Events to emissions of greenhouse gases and other anthropogenic forcing. The framework will also cover the quantification of the Extreme Events impacts on a variety of socio-economic sectors under historical, forecasted and projected climate conditions by developing innovative and sectorial AI-enhanced Climate Services. These will be demonstrated across different spatial scales, from the pan European scale to support EU policies addressing the Water-Energy-Food Nexus to the local scale in three types of Climate Change Hotspots. Finally, these services will be operationalized into Web Processing Services, according to
COACCH (CO-designing the Assessment of Climate CHange costs) is a project funded by the European Union’s Horizon 2020 research and innovation programme and carried out by a consortium of 14 European organisations. COACCH will develop an innovative science-practice and integrated approach to co-design and co-deliver an improved downscaled assessment of the risks and costs of climate change in Europe, working with end users from research, business, investment, and policy making communities throughout the project.
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.
ECEMF is a project funded by the European Union’s Horizon 2020 programme and carried out by a consortium of 15 European and International organizations. The aim of ECEMF is to provide the knowledge to inform the development of future energy and climate policies at national and European levels. In support of this aim, ECEMF proposes a range of activities to achieve five objectives and meet the four challenges set out in the call text. ECEMF’s programme of events and novel IT-based communications channel will enable researchers to identify and codevelop the most pressing policy-relevant research questions with a range of stakeholders to meet ambitious European energy and climate policy goals, in particular the European Green Deal and the transformation to a climate neutral society. Answers will be provided by the first inclusive and open full-scale model comparison exercise on achieving climate neutrality in Europe, including from the outset over 20 models and 15 top research groups, to produce a coherent and relevant evidence-base for energy and climate policy impact assessment. ECEMF’s evidence-base will support the development of policy-relevant insights which will be communicated to and discussed with the key decision makers via a range of novel methods, including interactive embeddable visualization blocks, policy briefs, workshops and high-profile events. This loop of knowledge co-production stands on two pillars. First, ECEMF will advance the state-of-the-art of energy and climate modelling by enabling sharing of: input data using open standards, methods for model comparison building on the vast experience of the consortium, scientific
Globally, the industrial sector substantially contributes to the high level of the world’s consumption of energy, natural resources and generation of waste. It is one of the most energy and resource intensive sectors in the world. Nigeria, one of the largest economies in Africa, does not have a clear cut policy on eco-innovation. More importantly, in light of the challenges such as resource scarcity, inadequate power supply, hazardous substances and waste generation, resource inefficiency and high intensity energy consumption facing the industrial sector, there is an urgent need to assess the policy measures that will guarantee transition to a sustainable manufacturing (UNEP 2011) which is fair and creates social and economic benefits in the country. However, before these can be achieved, it is crucial to understand how firms access, assimilate and develop the knowledge needed to reduce their environmental footprints. The overall objective of ECO-innovation and the Dynamics of External Knowledge Sourcing (ECO-DEKS) is to examine the dynamics of alliance portfolio for eco-innovation in the manufacturing and service sectors of Nigeria using both qualitative and quantitative data. ECO-DEKS focuses on the two sectors because of their significance to environmental sustainability. Together, these two sectors account for 70.84% of the GDP of the Nigerian economy in 2017. The sectors are similar in that they are characterized by considerable innovation potentials and by the highest potential environmental gains, but differ in terms of technology and the context within which the economic agents act. Therefore, the way in which firms within each sector
The Research Institute of Innovative Technology for the Earth (RITE) and Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC) collaborate on the empirical and modeling analysis of new disruptive trends of technological and social innovation for reducing energy demand. RITE and CMCC will develop the Low energy demand empirical and modeling work in a post pandemic world project
The EFFICIENT BUILDINGS project, as its predecessor MEDNICE, supports the Efficient Buildings Community established within the Interreg Mediterranean programme framework. The community brings together local and national public authorities, energy agencies, enterprises and research organizations to exchanges methodologies, experiences and tools on energy efficiency in the public buildings of the Mediterranean region.
ENGAGE is a project funded by the European Union’s Horizon 2020 programme and carried out by a consortium of 25 European and International organizations. As the world faces the risks of dangerous climate change, policy-makers, industry and civil society leaders are counting on Integrated Assessment Models (IAMs) to inform and guide strategies to deliver on the objectives of the Paris Agreement (PA). ENGAGE rises to this challenge by engaging these stakeholders in co-producing a new generation of global and national decarbonisation pathways. These new pathways will supplement natural science, engineering and economics, traditionally represented in IAMs, with cutting-edge insights from social science in order to reflect multidimensional feasibility of decarbonisation and identify opportunities to strengthen climate policies. The pathways will be designed to minimise overshoot of the temperature target and analyse the timing of net-zero emissions to meet the Paris temperature target and reduce the reliance on controversial negative emissions technologies. In addition, they will link national mitigation strategies of major emitters with the PA’s objectives, integrate potential game-changing innovations, and advance conceptually novel approaches to architectures of international climate agreements. ENGAGE will also quantify avoided impacts of climate change, co-benefits and trade-offs of climate policy, and identify the biggest sectoral opportunities for climate change mitigation. In ENGAGE, we will set new standards of transparency for global and national IAMs. The new pathways will be developed in an iterative global and national stakeholder process and a consortium of leading global and national IAMs and social scientists. This co-production process ensures
EOSC-Pillar gathers representatives of the fast-growing national initiatives for coordinating data infrastructures and services in Italy, France, Germany, Austria and Belgium to establish an agile and efficient federation model for open science services covering the full spectrum of European research communities.
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.