EN
X

Projects

Home
/
What we do
/

SASIP: The Scale-Aware Sea Ice Project


An international collaborative project to better understand the impact of amplified warming in polar regions, through the development of a new sea ice modelling paradigm. Through SASIP, the Scale-Aware Sea Ice Project, we propose to develop a truly innovative, scale-aware continuum sea ice model for climate research; one that faithfully represents sea ice dynamics and thermodynamics and that is physically sound, data-adaptive, highly parallelized and computationally efficient. SASIP will exploit large datasets from both granular process models and remote sensing to constrain sea ice properties and optimize continuum model parameters, jointly using data assimilation and machine learning methods. Coupling this multi-scale modeling framework to an ocean mixed-layer model, we will open up a new regime for polar oceanography via an examination of currently unresolved or poorly understood ice–ocean interactions across physical scales. In this systematic merger of models, observations, and numerical techniques, SASIP will reform sea ice modeling, a crucial leap needed to improve regional and larger-scale predictions of polar climate. Through the further development of neXtSIM and the MEB rheological framework, SASIP will build a data-constrained model that is rigorously based on sea ice solid-like physics. This model will allow improved high resolution and large- scale predictions of Arctic and Antarctic sea ice, and the propagation of sea ice related climate feedbacks. Employing hybrid data assimilation and machine learning approaches as a native part of the model architecture will allow for objective combinations of model and data. Ultimately, SASIP will lead to reduced uncertainties related to the impact of

SCEWERO: STRENGTHENING THE RESEARCH CAPACITIES FOR EXTREME WEATHER EVENTS IN ROMANIA

The SCEWERO project will be developed by a consortium of 5 organizations from 4 countries: Babeș-Bolyai University (UBB), a research institution located in Romania as a widening country and acting as coordinator, three top-class leading partners, Fondazione Centro Euro-Mediterraneo Sui Cambiamenti Climatici (IT), Universiteit Antwerpen (BE), and Justus-Liebig-Universität Giessen (DE), and a private partner (SME), Indeco Soft (RO) aiming to improve the excellence capacity in research, to raise the scientific reputation, research profile and attractiveness through networking, and strengthening research management capacity and administrative skills of the UBB team.

SD4SP: Stratospheric Dynamics for Seasonal Prediction

Seasonal forecasting is a field with enormous potential influence in different socio-economic sectors, such as water resources, agriculture, health, and energy. Yet, surface climate conditions in Europe still represent a hurdle to formulate skillful seasonal 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,

SEBASTIEN – Smarter livEstock Breeding through Advanced Services Tailoring Innovative and multi-sourcE data to users’ Needs

Livestock production in the European Union (EU) is a large economic sector and products of animal origin make up 45% (168 billion euro annually) of the EU agricultural production value, generating jobs for almost 30 million people. Due to the high impact of the livestock sector on GHG emissions, while also suffering from accelerating changes in climate trends, variability and extreme events’ occurrence, there is an increasing need to formulate management options meeting the challenges of both climate mitigation and adaptation, e.g., by adopting and/or scheduling farming practices that can be successful under the most likely climate scenarios for the future, or under as many scenarios as possible. SEBASTIEN (Smarter livEstock Breeding through Advanced Services Tailoring Innovative and multi-sourcE data to users’ Needs) wishes to implement large-scale ICT-based (mainly Cloud but also HPC) services to support smart livestock farming and management (i.e., both environmentally and socio- economically sustainable), while reducing risks and taking opportunities posed by climate change and its variability, as well as by other concurrent environmental stressors and anthropogenic pressures.

SICAB – Sino Italian capacity building for environmental protection

The project is dedicated to high-level training services in the fields of sustainable development and environmental management in the framework of Italy-China bilateral cooperation. The training offer includes training modules divided into two years and consisting of  modules to be delivered in Italy, and 9 modules to be delivered in China. The project includes not only training activities but also communication, business matching, monitoring and evaluation activities, the use of the Learning Management System platform and the Giornate Italia.

SICAP: Sea Ice model Calibration for improved Artic Predictions

The Sea Ice model Calibration for improved Arctic Predictions (SICAP) project aims to develop and deliver an innovative calibration tool to be applied to sea ice models, to improve the quality of the Arctic sea ice predictions and regional/global reanalyses.

SIDS2 – Climate Change Assessment in Small Pacific Island States

This project aims to enhance the scientific, economic and human adaptive capacity of Pacific Island Countries to climate change and related hazards risks, through the application of participatory approaches, economic analysis of the implication of global climate change policies and measures for Pacific Island Countries.

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

SIM: Sistema Avanzato ed Integrato di Monitoraggio e Previsione

The project, part of Italy’s National Recovery and Resilience Plan (PNRR), aims to build an advanced and integrated monitoring and forecasting system to enhance predictive capabilities regarding the effects of climate change and protect the Italian territory and water resources from natural and anthropogenic risks. The SIM (Sistema Avanzato ed Integrato di Monitoraggio e Previsione) is a long-term surveillance system designed to enable the implementation of preventive measures, such as scheduled maintenance of the territory and infrastructures, marine and coastal pollution monitoring and optimized resource and emergency management. By integrating real-time data collection and predictive modeling, the system enhances the ability to detect environmental threats in advance, mitigate pollution risks in marine, coastal and land areas and support sustainable management strategies for land and water resources. The project involves six vertical applications, including Marine and Coastal Pollution Monitoring (Vertical 3), which focuses on surveillance of marine and coastal water quality to prevent and mitigate environmental pollution. Each Vertical is split in different Case Uses (CU) or applications. CMCC is involved in CU 3.2, 3.3 and 3.5 of Vertical 3.

Six oil spill scenarios in Angola: Modelling and Analysis

The report was aimed at supporting the development of an oil spill contingency plan for the Angola coastline. Numerical oil spill simulations were employed to depict the oil spill trajectory and fate for a list of spill scenarios defined by the client under average ocean and atmospheric states.

SKADAR LAKE – Skhoder integrated ecosystem management project

Taking into account the nature of the hydrologic system affecting Lake Skadar-Shkoder, the consultanti s expected to develop a predictive hydrological lake and lake basin model, with associated software, licenses, documentation, applications and training.

SOCLIMPACT – DownScaling CLImate imPACTs and decarbonisation pathways in EU islands, and enhancing socioeconomic and non-market evaluation of Climate Change for Europe, for 2050 and beyond

The SOCLIMPACT consortium involves 24 partners, many of them coming from 12 European islands and archipelagos: European Small States Islands: Cyprus and Malta; European islands: Baltic Islands, Balearic Islands, Siciliy, Sardinia, Corsica, Crete; European Outermost Regions: Azores, Madeira, Canary Islands and French West Indies. They all have different key competences, including the study of climate change impacts, climate and economic modelling, social sciences, marine biodiversity, climate policies and the islands and of the outermost European regions. From Climate Change projections to the design of adaptation options, SOCLIMPACT repasses the Impact-Vulnerability-Adaptation chains, improving the modelling tools, developing the interrelations between steps, adapting this framework to the case of islands, and improving its transfer to decision makers.

Space It Up!

SPACE IT UP is a program aiming at enhancing the space technology of Italy to be used for space exploration and exploitation for the benefit of planet Earth and the entire humankind. An extended project partnership will foster synergies between academy, industry, and research centres to have a strong impact on the Italian space sector and to pursuit the following main objectives: -Promote innovative and extend fundamental knowledge; -Fostering a sustainable future; -Ensure long-term human permanence in extraterrestrial space; -Strengthening the “Ecosystem” space in Italy.

START – SisTemi di rApid mapping e contRollo del Territorio costiero e marino

START project will develop Coastal Situational Awareness (CSA) actions for Apulia Region (Italy), improving the awareness (and the knowledge) of coastal environment, integrating the observed systems (also in real time) with the operational and forecasting modelling. The project START will produce services to (i) provide early warning and rapid mapping of extreme events in Apulia coastal areas, (ii) define coastal erosion and flooding indicators, (iii) support an integrated management of harbour areas.

STREAM – Strategic development of flood management

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.

TABASCO – Plan of Adaptation Measures to reduce Vulnerability of Lagoon System Carmen-Pajonal-Machona, Tabasco, to Impacts created by Climate Change and Human Activities

The lagoon system Carmen-Pajonal-Machona is located in the Gulf of Mexico and has an area of 190 km2. Anthropogenic change, mainly due to oil extraction, has changed the hydrodynamic, morphological and ecological characteristics of the lagoon system. Other causes of alteration are: agricultural development, deforestation and industrial development. In addition to these problems, which already make the system vulnerable, there are further problems due to the impact of climate change. The project aims at designing adaptation measures to climate change, which will be managed by local communities.

Start typing and press Enter to search

Shopping Cart