ARTEMis: AleRT and impact-forecast standards for Emergency Management
ARTEMis will pave the way towards a new era of harmonised, standardised protocols, tools and procedures for emergency management and risk awareness in a pan-European level.
ASPECT – Adaptation-oriented Seamless Predictions of European ClimaTe
ASPECT aims for the setup and demonstration of a seamless climate information (SCI) system with a time horizon up to 30 years, accompanied by underpinning research and utilisation of climate information for sectoral applications.
AtlantECO – Atlantic ECOsystems assessment, forecasting & sustainability
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.
BlueAdapt: Reducing climate based health risks in blue environments: Adapting to the climate change impacts on coastal pathogens
BlueAdapt brings together an interdisciplinary team of biologists, climate scientists, economists, epidemiologists and public health experts to investigate and quantify the future health risks associated with selected coastal pathogens.
C3S2_370: Operational seasonal predictions
The project provides a complete technical solution for the production of monthly seasonal forecasts in real time according to a pre-established operational programme. The project also involves additional development activities to be carried out with the aim of improving the quality and range of the CMCC seasonal forecasting operational system. These complementary activities include : a new ensemble of extended (16 months) hindcasts and real-time forecasts. A portfolio of workflows, structured as Jupyter Notebooks will be produced, aiming at analyzing the capability of dynamical seasonal forecast ensembles to detect and predict Extreme Events, focusing on heatwaves and tropical cyclones. New land initial conditions will be implemented in the operational chain. The Copernicus Climate Change Service (C3S) supports society by providing authoritative information about the past, present and future climate in Europe and the rest of the World.
C3S2_375_CMCC: Development of C3S Decadal Prediction Service
The project responds to the C3S Invitation to Tender (ITT) Ref. C3S2_375: Development of C3S Decadal Prediction Service, which has been conceived as a continuation of the C3S service C3S_34c: Prototype system for decadal climate predictions (2019–2021). Even though C3S_34c amounted to significant progress in these direction, it did not cover all required steps towards operational implementation of multi-system decadal predictions and derived forecast products, e.g., leaving gaps in suitable data-encoding standards, the continuous provision of new forecasts and in rendering such forecasts directly usable through the application of state-of-the-art post-processing methods and the production of general and tailored products made available to the community on the CDS. The present contract C3S2_375_CMCC, aims at consolidating further progress towards these objectives. The Copernicus Climate Change Service (C3S) supports society by providing authoritative information about the past, present and future climate in Europe and the rest of the World.
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).
C3S2_520: Quality Assurance for Datasets in the Climate Data Store
This contract is the second phase of Quality Assurance for Datasets in the Climate Data Store and cover the last 2 years of the work plan. The activities cover the operational phase of the Evaluation and Quality Control (EQC) framework using the new Content Integration Manager (CIM) as a tool for the creation, management and publication of EQC content. The Copernicus Climate Change Service (C3S) supports society by providing authoritative information about the past, present and future climate in Europe and the rest of the World.
CLINT – CLImate INTelligence: Extreme events detection, attribution and adaptation design using machine learning
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
COPERNICUS SERVICES – C3S2_520: Quality Assurance for Datasets in the Climate Data Store
The Copernicus Climate Change Service (C3S) implemented by ECMWF on behalf of the European Union develops and delivers authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide. Quality assurance is a central component of C3S to establish the service as a trusted source of climate information, delivering quality-assured and authoritative service outputs such as datasets and applications that are traceable and reproducible. The EQC function ensures transparency of the service outputs including their quality attributes and builds the basis for a true operationalisation of climate services and the inclusion of climate data into policies and standards. Quality is a key element to build trust between users and providers.
CYCLOPS – Improving Mediterranean CYCLOnes Predictions in Seasonal forecasts with artificial intelligence
Intense cyclones form frequently in the Mediterranean region, with the potential to cause damage to life and property when they hit highly populated coastal areas. Cyclone impacts are caused by the associated strong winds, flash flooding and storm surge. The social and economic impacts are not limited to the Mediterranean area, as cyclones forming in the region can affect Central Europe. While the skill of weather models to forecast such events has dramatically improved over the last decade, the seasonal predictability of Mediterranean cyclones lags behind due to the limitations on horizontal resolution in probabilistic forecasts requiring a large ensemble of simulationss. Improving the climate prediction at a seasonal scale of those extreme events would be of great benefit for society, enabling better disaster risk management and reducing the economic losses they cause. A better prediction of climate extremes would also directly benefit a number of economic sectors such as the insurance and re-insurance industry. The ambition of the CYCLOPS project is to use Artificial Intelligence techniques to enhance the prediction skills of Mediterranean cyclones in a state-of-the-art Seasonal Prediction System.
DE_373_UU: A Concept for Destination Earth Quality Control Framework
The main goal of the project is to design the Quality Control (QC) concept and implement a roadmap for DestinE, focusing on the high priority Digital Twins (Climate and Extreme Twins) and impact sector models. To reach this goal, the service team will review an existing QC framework established in Copernicus and operational weather and climate services and analyse the suitability and applicability of this existing QC framework in DestinE, and design the quality control concept framework between DestinE and Copernicus and beyond that, to co-develop and co-design the QC framework.
ECMWF DE_350: Visualisation & Immersive Technologies
The contract covers the Contractor’s contribution to the design, development, manufacturing, installation, testing, delivery, warranty, maintenance of the “Visualisation & Immersive Technologies” project
FUTURA: Future of Climate Change Scenarios of the Earth System, Impacts and Socio-Economic Outcomes for Assessment and AND Society
For the first time, all major European modelling and infrastructure efforts are coordinated within a dedicated project to develop and deploy a sustainable and unified system for delivering future emissions and land-use scenarios, and climate and impact projections. This system is referred to hereafter as the’climate pathways system’. It is designed to support climate research, international assessments, and climate policy for the coming decades. FUTURA explores how to design a new cyclical scenario generation protocol built from process-resolving models complemented by emulator and AI approaches. It shifts from causal-chain modelling workflows to a unified system that unifies multi-annual process-driven iterations complemented by the ability to run fast annual iterations. We address how to best align this system with policy timeframes, and how to effectively leverage the model and data multiverse to advance understanding while supporting researchers, practitioners, and policymakers. The FUTURA climate pathways system represents a significant step towards the sustained and responsive delivery of climate projections in support of climate assessment and policy.
IRIDE (Precursor phase)
The IRIDE program is an innovative project undertaken by the Italian government, in collaboration with the European Space Agency (ESA), to leverage resources from the National Recovery and Resilience Plan (PNRR). The objective of the project is to implement a service portfolio, ready for operations, providing Geospatial Products and to set up the digital tools and the operational scenarios for the provision of the services to IRIDE users, by also taking care of designing and developing suitable exploitation solutions and interfaces with User Operational Systems exploiting the IRIDE Services outputs. As a result, IRIDE Marketplace will host the service value chains developed within the Service Segment and guarantee a single access point for the Users.
IRIDE Lot 1
The IRIDE program is an innovative project undertaken by the Italian government in collaboration with the European Space Agency (ESA) to leverage resources from the National Recovery and Resilience Plan (PNRR). Phase 2 of IRIDE Lot 1 started in October 2024 following the successful implementation of the IRIDE Precursor Phase. The main purpose of the project is to deliver an operational portfolio of geospatial services and develop digital tools for End and Pilot users within the Thematic Services S1-Coastal and Marine Monitoring, S2- Air Quality, S5- Hydro-Meteorological-Climate, S6- WaterManagement. The operational services allow mapping, monitoring and forecasting of various characteristics of coastal areas (including geomorphological, land use, flooding, habitats etc.) as well as operational model validation, operational air quality monitoring and forecast, pollutant emissions monitoring and assessment, re-analysis of air quality at national scale, hydro-meterological mapping and monitoring atmospheric structure, greenhouse gases and others essential climate variables monitoring, lightening monitoring, flood forecasting and sediment management, etc.
LIQUIDICE: LinkIng and QUantifying the Impacts of climate change on inlanD ICE, snow cover, and permafrost on water resources and society in vulnerable regions
Recognizing the central role played by snow, ice and permafrost in the global climate system, the LIQUIDICE project joins expert cryospheric observers and modelers to: i) comprehensively re-assess the past and future century-plus of climate-induced high impact changes to the Greenland ice sheet and climate vulnerable locations across the Alps, Norway, High Mountain Asia (HMA) and Svalbard, including permafrost areas and their ecosystems; ii) develop new, expanded and harmonized data from satellite Earth Observation (EO) and ground stations; iii) use these data to improve and test a hierarchy of ice sheet and glacier models with Earth System Models (ESMs); iv) through these steps, yield new process understanding, and ultimately v) inform water resource, hydropower, and socio-economic strategies through clear and transparent communication of results and uncertainties. The project’s strengths lie in new multidisciplinary collaborations across 18 research institutions, from eight European countries (Poland, Italy, Denmark, Germany, Spain, Sweden, Norway, United Kingdom) and India, encompassing expertise in field observations, satellite EO techniques, ESM development and application, and socio-economic analysis. Key deliverables include a) FAIR-principled new multi-decade data catalogues of multi-regional snow water equivalent and a 44-year EO-derived albedo record; b) assessments of impact of model resolution and degree of coupling on results; c) refined past and future glacier, ice cap and Greenland ice sheet freshwater fluxes to oceans and global sea level rise with indirect constraint on Antarctica; d) new hydrological simulations for HMA; e) a new framework for a Water Discharge Impact Assessments; f) socio-economic integrated risk and adaptation assessments;
MEDEWSA – Mediterranean and pan-European forecast and Early Warning System against natural hazards
Natural hazards, such as extreme weather events, are exacerbated by climate change. As a result, emergency responses are becoming more protracted, expensive, frequent, and stretching limited available resources. This is especially apparent in rapidly warming regions. MedEWSa addresses these challenges by providing novel solutions to ensure timely, precise, and actionable impact and finance forecasting, and early warning systems (EWS) that support the rapid deployment of first responders to vulnerable areas.
MER IP400: EVALUATION AND INTERCOMPARISON OF GLOBAL MARINE ENVIRONMENT REANALYSES (Lot 3 – Evaluation and Intercomparison of global physical reanalyses MER-EP)
The project covers the validation and intercomparison of the next generation of global ocean reanalyses for the Copernicus Marine Service.
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).
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.