Climateurope
A project aiming at coordinating and supporting Europe’s knowledge base to enable better management of climate-related risks and opportunities, thereby creating greater social and economic value.
ClimChAlp – Climate Change, Impacts and adaptation strategies in the Alpine Space
Climate Change, Impacts and adaptation strategies in the Alpine Space
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
CLIPC – CLimate Information Platform for Copernicus
CLIPC will provide access to climate information of direct relevance to a wide variety of users, from scientists to policy makers and private sector decision makers. Information will include data from satellite and in-situ observations, climate datasets and transformed data products to assess indicators for climate change impact.
CLUVA – Climate change and Urban Vulnerability in Africa
The overall objective of this project is to develop methods and knowledge to be applied to African cities to manage climate risks, to reduce vulnerabilities and to improve their coping capacity and resilience towards climate change.
CMEMS BS MFC – Copernicus Black Sea Monitoring Forecasting Centre – Phase 2
This contract is issued within the EU Copernicus Marine Environment Monitoring Service (CMEMS) to provide regular information about the physical state of the ocean and marine ecosystems for the Black Sea.
CMEMS Med MFC – Copernicus Mediterranean Monitoring Forecasting Centre – Phase 2
This contract is issued within the EU Copernicus Marine Environment Monitoring Service (CMEMS) to provide regular information about the physical state of the ocean and marine ecosystems for the Mediterranean Sea.
COACCH – CO-designing the Assessment of Climate CHange costs
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.
COMBINE – Comprehensive Modelling of the Earth system for better climate prediction and projection.
An European Integrating Project for research and development in Earth System Models (ESMs), for the production of scenario simulations.
COMET: Climate Obsertvation and Modelling Expertise Team
The Climate Observation and Modelling Expertise Team (COMET) aims to enhance the use of satellite-derived climate data in ocean and sea ice modelling by integrating high-quality long-term Earth Observation records from ESA’s Climate Change Initiative (CCI) for key Essential Climate Variables (ECVs) such as sea surface temperature and salinity, sea ice, and sea. By applying advanced data assimilation, model calibration, and machine learning techniques, COMET addresses key scientific challenges in climate modelling, particularly in polar regions, and contributes to more accurate and reliable representations of present and future climate conditions. The project strengthens links between the Earth Observation and modelling communities under ESA’s Climate-Space initiative and responds to scientific priorities set by the IPCC, WCRP, and GCOS, focusing on better representation of ocean–ice–atmosphere interactions in climate models. It addresses scientific priorities set by the IPCC, WCRP and GCOS, focusing on better representation of ocean–ice–atmosphere interactions in climate models. By improving the physical consistency, usability, and assimilation of satellite ECVs, COMET helps deliver more reliable climate predictions, particularly for vulnerable regions such as the Arctic.
CONCEPTU MARIS – CONservation of CEtaceans and Pelagic sea TUrtles in Med: Managing Actions for their Recovery In Sustainability
The Mediterranean Sea is undergoing severe changes driven by increasing anthropogenic pressures. CEtaceans and Pelagic sea TUrtles (CEPTU hereafter) are among the most important charismatic species in the Mediterranean Sea, and crucial bioindicators of marine health conditions. However, there is a data deficiency for most taxa, which is mainly due to the fact that CEPTU species spend the majority of their life in remote offshore areas that are the most difficult to monitor because of their extent. With their offshore movements, they are exposed to multiple anthropogenic stressors, such as maritime traffic causing pollution, underwater noise, disturbance and marine litter exposing the species to a higher risk of entanglement, ingestion or toxicological effects. Entanglement in fishing-related gears also contributes to increased risks linked to the pressure of fishing in pelagic areas.
CONCERTO: Improved CarbOn cycle represeNtation through multi-sCale models and Earth obseRvation for Terrestrial ecOsystems
Terrestrial ecosystems are key to the functioning of the global carbon cycle and play a fundamental role in mitigating climate change. According to the Global Carbon Budget, about 30% of all the carbon dioxide (CO₂) emitted in the atmosphere is removed by vegetation uptake through photosynthesis and accumulation of biomass (so called CO2 sinks on land). Land use change, nutrient limitations, and extreme events (e.g. droughts, fires and heat waves) may limit this potential to sequester carbon. Identifying processes that might destabilise net land carbon uptake is of paramount importance for understanding and managing the global carbon cycle. CONCERTO aims to improve: the current understanding of the terrestrial carbon cycle by adding land processes that are not included yet or not fully developed in Land Surface Models (LSMs); the representation of land change, land use and land management maps to improve the accuracy of carbon fluxes and stocks; the description of impacts on the carbon cycle of extreme events such as droughts, heatwaves and fires, using tools such as state-of-the-art land surface models (LSMs) embedded into Earth system models (EMSs); the integration of LSM improvements in offline global simulations (driven by re-analyses) and in coupled ESMs.
Copernicus BS-MFC – Copernicus Black Sea Monitoring Forecasting Centre
This contract is issued within the EU Copernicus Marine Environment Monitoring Service implemented operationally by Mercator Océan to provide regular information about the physical state of the ocean and marine ecosystems for the Black Sea.
Copernicus Marine Service – Black Sea Monitoring and Forecasting Centre (BLK MFC)
Black Sea – Monitoring and Forecasting Centre (BLK MFC) provides regular and systematic information about the physical state of the ocean and marine ecosystems for the Black Sea. The system is based on a numerical ocean model assimilating in-situ and satellite data. BLK MFC gathers expertise in the field of ocean analysis and forecast in the Black Sea, brings together knowledge of the regional Black Sea dynamics, and enhances technical links with other CMEMS components and strong connection with the MED MFC. Moreover, BLK MFC’s objectives include the planning and efficient implementation of system upgrades, product quality, and support to the production of the Ocean State Report (OSR) and Ocean Monitoring Indicators (OMI).
Copernicus Marine Service – Mediterranean Sea Monitoring and Forecasting Centre (MED MFC)
The Mediterranean Monitoring and Forecasting Center (MED MFC) of the Copernicus Marine Service provides regular and systematic reference information on the physical and biogeochemical state for the Mediterranean Sea. MED MFC develops, implements and operationally delivers analysis, forecast as well as reanalysis reconstructions of the essential ocean variables in the Mediterranean Sea. It enables marine policy implementation, supports Blue Growth and scientific innovation. Copernicus Marine Service is an open and free of charge service, compliant with EU regulations such as INSPIRE and the Delegated Regulation on Copernicus data and information policy.
Copernicus Marine Service BS MFC -Black Sea Monitoring and Forecasting Centre of the Copernicus Marine Service
Copernicus is the European Union’s Earth observation programme which offers information services that draw from satellite Earth Observation and in-situ (non-space) data and is managed by the European Commission. The Copernicus Marine Service provides regular and systematic reference information on the physical and biogeochemical state, variability and dynamics of the ocean and marine ecosystems for the global ocean and the European regional seas. It has been implemented by Mercator Ocean International (MOI) since 2015. It enables marine policy implementation, supports Blue Growth and scientific innovation. Copernicus Marine Service is an open and free of charge service, compliant with EU regulations such as INSPIRE and the Delegated Regulation on Copernicus data and information policy.
Copernicus Marine Service MED MFC – Mediterranean Sea Monitoring and Forecasting Centre of the Copernicus Marine Service
Copernicus is the European Union’s Earth observation programme which offers information services that draw from satellite Earth Observation and in-situ (non-space) data and is managed by the European Commission. The Copernicus Marine Service provides regular and systematic reference information on the physical and biogeochemical state, variability and dynamics of the ocean and marine ecosystems for the global ocean and the European regional seas. It has been implemented by Mercator Ocean International (MOI) since 2015. It enables marine policy implementation, supports Blue Growth and scientific innovation. Copernicus Marine Service is an open and free of charge service, compliant with EU regulations such as INSPIRE and the Delegated Regulation on Copernicus data and information policy.
Copernicus Med MFC – Copernicus Mediterranean Monitoring Forecasting Centre
This contract is issued within the EU Copernicus Marine Environment Monitoring Service to provide regular information about the physical state of the ocean and marine ecosystems for the Mediterranean Sea.
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.
Copernicus User Uptake – Copernicus User Uptake Framework – Information Sessions
The project aims to promote Copernicus information and data in order to make them used by a wide variety of stakeholders and send users.
COST Action CA23108. Seasonal-to-decadal climate predictability in the Mediterranean: process understanding and services | MEDUSSE
Climate forecasting has enormous potential influence in different socio-economic sectors, such as agriculture, health, water management, and energy. Actionable climate information is particularly relevant at seasonal-to-decadal timescales, where predictability is linked to slow fluctuations of the system such as those in the ocean, sea-ice and land-surface, thus bridging weather/sub-seasonal predictions (mainly relying on atmospheric initial condition) with future projections (mainly based on atmospheric radiative forcing). Seasonal-to-decadal climate forecasting has progressed considerably in recent years, but prediction skill over the Mediterranean is still limited. Better understanding the drivers of regional climate anomalies as well as exploring untapped sources of predictability constitute a much-needed and timely effort.
CRESCENDO – Coordinated Research in Earth Systems and Climate: Experiments, kNowledge, Dissemination and Outreach
CRESCENDO will improve the science based foundation of European Earth System Models (ESM) to produce robust, credible and trustworthy climate projections for the coming century within the framework of the World Climate Research Program’s (WCRP) 6th Coupled Model Intercomparison Project (CMIP6). The use knowledge and data produced by an ensemble of ESMs will support the development of effective climate change policies and will contribute to the resilience and competitiveness of European Countries.
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.
CS-MACH1: Marine Citizen Science data Horizon
The HE project CS-MACH1 (Marine Citizen Science data Horizon), coordinated by CMCC, aims at developing a Marine Citizen Science (MSC) data network and associated online hub to support MCS initiatives in the acquisition and integration of data by users. This will be implemented by supporting continuous interaction between CS communities, technology providers, data management experts and researchers, and by providing the necessary low-cost technology, data management best practices and standards, training and support needed to produce FAIR data streams