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Research projects

Filtering by: Earth System Modelling and Data Assimilation Division

ALIENA: ALIgning Efforts to control Non-indigenous species in the Adriatic sea

Non-indigenous species (NIS) pose a significant threat to biodiversity and ecosystems globally, ranking as the second most common cause of species extinctions. Particularly in the Adriatic Sea, a hub for fishing, tourism and maritime traffic, the introduction of NIS has the potential to exacerbate ecological and economic impacts. ALIENA aims at creating a shared knowledge base and collaborative monitoring system to protect biodiversity from NIS in the Adriatic Sea. Through joint monitoring and modeling efforts focused on these species, the project seeks to develop early warning solutions essential for effective marine management, biodiversity conservation, and public health protection. Additionally, it aims to improve shared protocols for NIS detection, monitoring, and management, while also increasing stakeholders’ awareness of NIS issues.


C3S2_413 – Enhanced Operational Windstorm Service

This contract presents a continuation, a temporal extension, and an enhancement of the current C3S Windstorm Service. Leveraging the current Service structure, contractorss will temporally extend the detection and tracking of Pan-European potentially harmful windstorms associated with extratropical cyclones along the whole available period provided by the ECMWF ERA5 reanalysis dataset (1940-present).


CERISE: CopERnIcus climate change Service Evolution

The Copernicus Climate Change Service Evolution (CERISE) project aims to enhance the quality of the C3S reanalysis and seasonal forecast portfolio, with a focus on land-atmosphere coupling. It will support the evolution of C3S by improving the C3S climate reanalysis and seasonal prediction systems and products towards enhanced integrity and coherence of the C3S Earth system Essential Climate Variables. 


CRIceS – Climate relevant interactions and feedbacks: the key role of sea ice and snow in the polar and global climate system

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.


EDITO-Model Lab, Underlying models for the European DIgital Twin Ocean – EDITO-Model Lab

EDITO-Model Lab will prepare the next generation of ocean models, complementary to Copernicus Marine Service to be integrated into the EU public infrastructure of the European Digital Twin Ocean that will ensure access to required input and validation data (from EMODnet, EuroGOOS, ECMWF, Copernicus Services and Sentinels satellite observations) and to high performance and distributed computing facilities (from EuroHPC for High Performance Computing and other cloud computing resources) and that will be consolidated under developments of Destination Earth (DestinE). 


ESA CMUG: Climate Modelling Users Group

ESA has established the Climate Modelling User Group (CMUG) to place a climate system perspective at the centre of its Climate Change Initiative (CCI) programme, and to provide a dedicated forum through which the Earth observation data community and the climate modelling and reanalysis community can work closely together. CMUG will work with the Essential Climate Variable CCI projects to achieve this goal.


ESiWACE3 – Center of excellence for weather and climate phase 3

Extreme weather events and climate change are two of the main threats for society of the 21st century. Extreme weather events caused over 500 thousand casualties and over 2 trillion USD economic damages in the past 20 years. A failure of climate change mitigation and adaptation targets is ranked among the leading threats to global society. At the 2015 Paris Climate Conference, leaders from 194 countries of the world unanimously acknowledged the serious threat posed by anthropogenic emissions of greenhouse gases. Society must now become resilient to changes in climate over coming decades, which requires making quantitative estimates for future changes of weather patterns and climate extremes. This includes exceptional weather events such as violent windstorms and flash floods, but also persistent anomalies in planetary-scale circulation patterns, which lead to pervasive flooding in some regions and seasons, and long-lived drought and extremes of heat in others. Numerical models of the Earth system represent the most important tool to anticipate and assess these kinds of threats. One of the main factors that is limiting the skill of these models is limited resolution, and resolution, in turn, is limited by computational power that can be leveraged by these models. The first two phases of the ESiWACE Centre of Excellence (COE) have pushed the resolution of global Earth system models to unprecedented levels. This includes the first global atmosphere models that were able to run at ~1 km resolution in the first phase of ESiWACE and coupled atmosphere/ocean models that were able to


GLORAN – COPERNICUS MARINE – PRODUCTION PROVISION AND ANALYSIS OF REANALYSIS PRODUCTS FOR THE GLOBAL OCEAN

This is a supply of oceanic reanalysis products that will be integrated into the Copernicus marine service. The service will provide at different times and on a monthly basis,  physical (ocean and sea ice) and biological (micronekton) model products for the global ocean. The quality of these reanalyses will be analyzed and the relative performances compared in the context of the developing indicators of ocean variability.  


GoNEXUS – Innovative tools and solutions for governing the water-energy-food-ecosystems NEXUS under global change

GoNEXUS aims to develop a framework for designing and assessing innovative solutions for an efficient and sustainable coordinated governance of the water-energy-food-ecosystems (WEFE) nexus. Solutions will combine policy changes and soft path options with technical and infrastructure measures for a more resilient future. To achieve this objective, the project will build a powerful model toolbox and creative participatory Nexus Dialogues. The model toolbox will include forefront global/continental and river basin models, innovatively establishing a functional link between them. At global and continental scales, the toolbox will include the individual WEFE element models CAPRI (food, agri-environment), LISFLOOD-EPIC and PCR-GLOBWB (water), PRIMES and PROMETHEUS (energy), GLOBIO (environment), and GEM-E3 (macroeconomics), some of them used in EU policies. River basin models will include nested strategic WEFE management models (including behavioral modelling) and hydrological simulation models to expand the analysis of resilience at basin scale, including impacts on ecosystems. Nexus Dialogues will co- design scenarios, models, and solutions for a joint governance of the WEFE nexus. The solutions will be evaluated using the model toolbox through a set of novel nexus indicators and criteria (based on relevant SDGs metrics) to assess trade-offs between water status, and food and energy security. GoNEXUS will be applied at global and EU levels and to six river basins representing different features and WEFE challenges in Europe (Danube, Como, Jucar, Tagus-Segura) and Africa (Zambezi, Senegal). The innovative combination of models and Nexus Dialogues will provide more accurate evaluations of future scenarios, enabling knowledge sharing and brokerage, and improving WEFE


interTwin – An interdisciplinary Digital Twin Engine for Science

interTwin co-designs and implements the prototype of an interdisciplinary Digital Twin Engine (DTE), an open-source platform that provides generic and tailored software components for modelling and simulation to integrate application-specific Digital Twins (DTs). Its specifications and implementation are based on a co-designed conceptual model – the DTE blueprint architecture – guided by the principles of open standards and interoperability. The ambition is to develop a common approach to the implementation of DTs that is applicable across the whole spectrum of scientific disciplines and beyond to facilitate developments and collaboration.  Co-design involves DT use cases for High energy physics, Radio astronomy, Astroparticle physics, Climate research, and Environmental monitoring, whose complex requirements are expected to significantly advance the state of the art of modelling and simulation using heterogeneous distributed digital infrastructures, advanced workflow composition, real-time data management and processing, quality and uncertainty tracing of models, data fusion and analytics. As a result, a consolidation of software technologies supporting research will emerge.  The validation of the technology with multiple infrastructure facilities will boost the accessibility of users to technological capacity and the support of AI uptake in research. interTwin builds on the capacities of experts from pan-European research infrastructures and the long tail of science, an Open-Source Community of technology providers that will deliver TRL 6/7 capabilities to implement the interdisciplinary DTE, experts of the European Centre of Excellence in Exascale Computing, and infrastructure providers from the EGI Federation, PRACE and EuroHPC supporting data and compute intensive science. interTwin key exploitable results will


NECCTON- New Copernicus capability for trophic ocean networks


The ocean’s biodiversity supports the livelihoods of over three billion people, providing vital services, including food and nutrient cycling. However marine policy and resource management do not yet consider the latest scientific advances, even when the state-of- the-art operational models of the European Copernicus Marine Service (CMEMS) are used. The project’s objective is to enable CMEMS to deliver novel products that inform marine biodiversity conservation and food resources management, by fusing new data into innovative ecosystem models that integrate biological and abiotic components, habitats, and stressors of marine ecosystems. NECCTON will inter-link new models in the CMEMS systems, thus building novel capacities to simulate higher-trophic-levels, benthic habitats, pollutants, and deliver projections of climate change impacts. We will develop and exploit new data-processing chains, supporting CMEMS’ use of novel ecosystem observations, including new hyperspectral data from satellites, as well as available acoustic, pollution and omics data. We will fuse these new data and models by using innovative machine-learning algorithms to improve models and data assimilation methods. These developments will be applied in thirteen case studies, co-designed with fisheries and conservation managers as part of our pathway-to-impact, resulting in the demonstration of Technological Readiness Level 6 of NECCTON products. The project objectives will be achieved by a team of twenty-three world-class organizations with track records for all the key project components. It includes the CMEMS Entrusted Entity and core developers, who will promote the final uptake of NECCTON by CMEMS. On project completion, NECCTON will provide CMEMS with the scientific and technical


NEXOGENESIS – Facilitating the next generation of effective and intelligent water-related policies utilising artificial intelligence and reinforcement learning to assess the water-energy-food ecosystem (WEFE) nexus

Water, energy, food, and ecosystems (WEFE) are interconnected, comprising a coherent system (nexus) dominated by complexity and modulated by climatic and socio-economic drivers. Resource constraints, and their interconnectedness could hamper economic development, including optimal trade, market and policy solutions. NEXOGENESIS offers a coherent WEFE nexus framework for the assessment of potential impact pathways of implementing new policy objectives (WFD, RED, CAP, SDGs, Paris Agreement) in the nexus, including: (i) biophysical and socio-economic modelling; (ii) stakeholder engagement together with; (iii) validation of NEXOGENESIS outputs and; (iv) use of the latest artificial intelligence techniques.


ObsSea4Clim: Ocean observations and indicators for climate and assessments

ObsSea4Clim brings together key European actors within ocean observing science, climate assessment, Earth System modelling, data sharing and standards, with users of oceanographic products and services to deliver an improved observation framework based on Essential Ocean & Climate Variables (EOV/ECVs).


OceanICU – Ocean-ICU Improving Carbon Understanding


The Ocean plays a crucial role in the global C cycle, taking up approximately 25% of the CO2 we emit to the atmosphere, and thus slowing the rate of climate change. The future trajectory of this sink will affect the timing and intensity of the modifications to human processes that we need to undertake in order to stabilise atmospheric CO2 at 450ppm. Our ability to measure and model this sink is limited (evidenced by significant discrepancies between measured and modelled C uptake) with the current frontier area of research being a suite of biological processes related to higher trophic level behaviour within the so called biological C pump. This involvement of higher organisms suggests that human activities (fishing, energy and mineral extraction) has the capacity to affect the ocean C sink however we lack the ability to quantitatively link direct human pressures and ocean C storage. Ocean ICU will measure these key processes and evaluate their overall significance, transferring those that are important into models that inform the IPCC process and in this way contribute to resolving the observed model data mismatch of Ocean C sink estimates. We will use the fundamental knowledge we acquire around biological systems to evaluate the ability of human interventions in the ocean to alter the carbon cycle and produce management tools that allow the tension between resource extraction and C storage to be addressed. This component will involve extensive dialogue with end users and stakeholders and lead to a Decision Support Tool that will


PIISA: Piloting Innovative Insurance Solutions for Adaptation

PIISA is a project funded by HORIZON Europe RIA (Research and Innovation Action) aiming to develop and deploy a range of insurance innovations that incite households and firms to adapt proactively and sufficiently for their own sake and their neighborhood’s sake. PIISA incites public authorities to set up adaptation and create adaptation promoting conditions. PIISA co-develops climate resilient insurance portfolios and develops solutions for sharing losses and climate risk data.


PNRR-HPC – “SPOKE 4 EARTH & CLIMATE”: National Centre for HPC, Big Data and Quantum Computing

Within Spoke 4, the scientific activity of CMCC, and of the Spoke affiliated partners, will be mainly aimed at developing a shared interdisciplinary framework for advanced Earth System Models and numerical experimentations. The framework will be focused on digital infrastructures and efficient workflows to streamline the production, facilitate the training, accelerate the understanding, and improve the quality of climate simulations and predictions.


SDGs-EYES – Sustainable Development Goals – Enhanced monitoring through the family of copErnicus Services

The UN 2030 Agenda for Sustainable Development is a data driven agenda, and the use of Earth Observation (EO) can make the SDG indicators’ monitoring and reporting technically and financially viable, and comparable across countries.  SDGs-EYES aims to boost the European capacity for monitoring the SDGs based on Copernicus, building a portfolio of decision-making tools to monitor those SDG indicators related to the environment from an inter-sectoral perspective, aligning with the EU Green Deal priorities and challenges. SDGs-EYES will establish an integrated scientific, technological and user engagement framework overcoming the knowledge and technical barriers that prevent the exploitation, combination and cross-feeding of data and tools from the Copernicus’s six core Services, its space-based and in-situ components, and other platforms and portals.  SDGs-EYES considers three interconnected SDGs, on climate (SDG13), ocean (SDG14) and land (SDG15), to demonstrate through four Pilots the Copernicus potential for monitoring six indicators making part of the EU and national assessments: GHG emissions, temperature deviation, ocean acidification, marine eutrophication, forest cover change and soil erosion. Although focusing on the biosphere, these indicators are linked to other SDGs on socio-economic and (geo)political factors (e.g., human health, resources security, poverty, conflicts, displacements). Thus, an additional cross-goals indicator and Pilot will focus on vulnerable communities under cumulative climate extreme hazards.  SDGs-EYES seeks to combine the science-informed (top-down) approach with a stakeholder-driven (bottom-up) approach to transfer scientific outcomes into easy-to-understand and easy-to-use actionable information in the context of SDG indicators’ assessment. Decision-making tools delivered by Pilots will be co-designed with users,


SILVANUS – Integrated Technological and Information Platform for wildfire Management

SILVANUS envisages to deliver an environmentally sustainable and climate resilient forest management platform through innovative capabilities to prevent and combat against the ignition and spread of forest fires. The platform will cater to the demands of efficient resource utilisation and provide protection against threats of wildfires encountered globally. The project will establish synergies between (i) environmental; (ii) technology and (iii) social science experts for enhancing the ability of regional and national authorities to monitor forest resources, evaluate biodiversity, generate more accurate fire risk indicators and promote safety regulations among citizens through awareness campaigns. The novelty of SILVANUS lies in the development and integration of advanced semantic technologies to systematically formalise the knowledge of forest administration and resource utilisation. Additionally, the platform will integrate a big-data processing framework capable of analysing heterogeneous data sources including earth observation resources, climate models and weather data, continuous on-board computation of multi-spectral video streams. Also, the project integrates a series of sensor and actuator technologies using innovative wireless communication infrastructure through the coordination of aerial vehicles and ground robots. The technological platform will be complemented with the integration of resilience models, and the results of environmental and ecological studies carried out for the assessment of fire risk indicators based on continuous surveys of forest regions. The surveys are designed to take into consideration the expertise and experience of frontline fire fighter organisations who collectively provide support for 47,504×104 sq. meters of forest area within Europe and across international communities. The project innovation will be validated


UPTAKE – Bridging current knowledge gaps to enable the UPTAKE of carbon dioxide removal methods

UPTAKE aims to facilitate the sustainable upscaling of carbon dioxide removal (CDR) methods by developing a set of robust strategies through technical, theoretical, and practical analysis accompanied by interactive dialogue within a CDR stakeholder forum. As a result, UPTAKE will develop a harmonised, comprehensive, inclusive, integrated, and transparent CDR knowledge inventory to evaluate a wide range of CDR technologies and methods, quantifying their national, European, and global costs, effectiveness, and removal potential as well as risks, constraints, and side-effects at different scales, and their prospects of technological progress. The UPTAKE approach will allow the assessment of geographical, sectoral, socioeconomic, demographic, and temporal trade-offs, co-benefits, and opportunities emerging from portfolios of different CDR methods. The enhanced socio-technical understanding of CDR methods will feed into an ensemble of state-of-the-art integrated assessment models (IAMs), which will help improve the integration of CDR methods given the EU policy objectives set for 2030, 2050, and beyond climate neutrality. UPTAKE will assess CDR governance and policy frameworks considering social acceptance, accountability, monitoring, and regulations for sustainable CDR rollout at scale. As a result, UPTAKE will generate an open and interactive CDR roadmap explorer to investigate strategies that are resilient to risks of failure and disruption, and minimise adverse impacts on society, economy, and the environment, aiming for a just, inclusive, and sustainable transition.

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