{"id":10281,"date":"2025-06-30T17:24:12","date_gmt":"2025-06-30T15:24:12","guid":{"rendered":"https:\/\/www.crs4.it\/people\/marino-marrocu\/"},"modified":"2026-04-09T14:12:14","modified_gmt":"2026-04-09T12:12:14","slug":"marino-marrocu","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/marino-marrocu\/","title":{"rendered":"Marino Marrocu"},"content":{"rendered":"<p>Senior researcher at CRS4, he is head of           the Environmental Sciences branch of the Energy &#038;           Environment program. His research interests are related to           meteorological mesoscale ensemble prediction, climatic           modelling and environmental data analysis. Currently, between           the others, he is involved in the EU-H2020 Netfficient project for the           development of a energy production, from renewable sources,           forecasting system. Recently involved in the EU-FP7 CLIMB           project in which CRS4 evaluated and compared the skill of           various regional climate models as boundary conditions for           hydrological modelling scenario studies in the Mediterranean basin area. Within           the projects GRIDA3 and CYBERSAR, funded by the Italian           Research Ministry (MIUR), he was involved in setting up a           multi-model multianalysis limited area ensemble to be run on a           GRID infrastructure and\/or remote computing portals. He has           been involved in many other European and Italian research           programs: FP7, Interreg IIC, FP6, for European Southern           Observatory, for the Italian Space Agency, MIUR, National           Council of Research (CNR), Italian Electric Power Company           (ENEL).<\/p>\n","protected":false},"featured_media":12762,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10281","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Marino","surname":"Marrocu","email":"marino@crs4.it","phone":"+390709250271","user_uuid":"e3be0ba2-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"https:\/\/scholar.google.com\/citations?user=pI0Z_zoAAAAJ","position":"Researcher","microsoft_academic_id":"","project_coordinator":[{"ID":12690,"post_author":"4","post_date":"2025-07-03 18:18:27","post_date_gmt":"2025-07-03 16:18:27","post_content":"Climate resilient \u2013 regions through solutions and innovations - Building a low \u2013 carbon, climate resilient future: Research and innovation in support of the European Green Deal.\nSystems Innovation Approach (SIA) addresses the growing complexity, interdependencies and interconnectedness of modern societies and economies, focusing on the functions of the cross-sectoral system as a whole and on the variety of actors.\u00a0The Climate Innovation Window (CIW) is the EU reference innovations marketplace for climate adaptation technologies.\nARSINOE shapes the pathways to resilience by bringing together SIA and CIW, to build an ecosystem for climate change adaptation solutions. Within the ARSINOE ecosystem, pathways to solutions are co-created and co-designed by stakeholders, who can then select either existing CIW technologies, or technologies by new providers (or a combination) to form an innovation package.\nThis package may be designed for implementation to a specific region, but its building blocks are transferable and re-usable; they can be re-adapted and updated. In this way, the user (region) gets an innovation package consisting of validated technologies (expanding the market for CIW); new technologies implemented in the specific local innovation package get the opportunity to be validated and become CIW members, while the society (citizens, stakeholders ) benefits as a whole.\nARSINOE applies a three-tier, approach:\n<ul>\n<li>(a) using SIA it integrates multi-faceted technological, digital, business, governance and environmental aspects with social innovation for the development of adaptation pathways to climate change for specific regions;<\/li>\n<li>(b) it links with CIW to form innovation packages by matching innovators with end-users\/regions;<\/li>\n<li>(c) it fosters the ecosystem sustainability and growth with cross-fertilization and replication across regions and scales, at European level and beyond, using specific business models, exploitation and outreach actions.<\/li>\n<\/ul>\nThe ARSINOE approach is show-cased in nine widely varied demonstrators, as a proof-of-concept with regards to its applicability, replicability, potential and efficacy.\nARSINOE Partners:\u00a0<a>https:\/\/arsinoe-project.eu\/meet-the-partners\/<\/a>\n\u00a0\nAs part of the Sardinian test case (CS9), CRS4 is mainly contributing to the development of tools for the integrated processing of Sentinel-2 multispectral data, ERA5 meteorological reanalyses, probabilistic weather forecast data, and in situ measurements aimed at monitoring the growth potential of durum wheat and assessing the sustainability of different levels of deficit irrigation within the Water-Energy-Food (WEF) nexus. Data collection procedures and a web service for integration with the AquaCrop crop model will be implemented, while the next phase will involve calibrating the crop model for\u00a0 for the test site and developing interactive tools for analyzing different climate scenarios.","post_title":"ARSINOE","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"arsinoe","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:45","post_modified_gmt":"2026-04-02 10:32:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/arsinoe\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19681,"post_author":"4","post_date":"2025-07-03 18:23:32","post_date_gmt":"2025-07-03 16:23:32","post_content":"The strategy of CLIMB is aiming to employ and integrate advanced field monitoring techniques, remote sensing analyses and retrievals, climate models auditing and integrated hydrologic modeling and socioeconomic factor assessment in a new conceptual framework to significantly reduce existing uncertainties in climate change impact analysis. It will create an integrated risk assessment tool for adaptive water resources management and best agricultural practice under climate change conditions. \u00a0The risk and vulnerability analysis tool will also enable the assessment of risks for conflict-inducing actions. The improved models, new assessment tools, and their results will be evaluated against current methodologies. \u00a0Improvements will be communicated to stakeholders and decision makers in a transparent, easy-to-understand form, enabling them to utilize the new findings in regional water resource and agricultural management initiatives as well as in the design of mechanisms to reduce potential for conflict CLIMB is embedded in a cluster of independent EU- projects with WASSERMed and CLICO, focused on climate induced changes in water resources as a threat to security. The role of CRS4 in the project deals with climate models auditing and downscaling and integrated hydrological modeling.","post_title":"CLIMB","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"climb","to_ping":"","pinged":"","post_modified":"2026-04-02 12:37:17","post_modified_gmt":"2026-04-02 10:37:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/climb\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19723,"post_author":"4","post_date":"2025-07-03 18:24:54","post_date_gmt":"2025-07-03 16:24:54","post_content":"The workpackage 6 of the GRIDA3 project deals with the implementation of a grid-enabled Web demonstrative application centered on meteorological modeling. More specifically the aim of the project is the implementation of an eight member ensemble made up of at least three mesoscale models (Bolam, MM5, RAMS and\/or WRF), one of them used twice with different setups, fed with two sets of boundary and initial conditions (ECMWF and NCEP). The final objective is that to issue a probabilistic forecast and be able in this way to characterize the uncertainty of the single deterministic forcast.","post_title":"GRIDA3 PREMIAGRID (obiettivo realizzativo 6)","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"grida3-premiagrid-obiettivo-realizzativo-6","to_ping":"","pinged":"","post_modified":"2026-04-02 12:38:15","post_modified_gmt":"2026-04-02 10:38:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/grida3-premiagrid-obiettivo-realizzativo-6\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19753,"post_author":"4","post_date":"2025-07-03 18:26:02","post_date_gmt":"2025-07-03 16:26:02","post_content":"Project scopes: a) development and implementation of data assimilation techniques in limited area models aimed to improve the short time precipitation forecast; b) implementation of techniques for the automatic tracking of cloud bodies with satellite data; c) parallelization of a non hydrostatic meteorological model.","post_title":"PON-COS(OT)","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"pon-cosot","to_ping":"","pinged":"","post_modified":"2026-04-02 12:38:57","post_modified_gmt":"2026-04-02 10:38:57","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/pon-cosot\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19770,"post_author":"4","post_date":"2025-07-03 18:26:43","post_date_gmt":"2025-07-03 16:26:43","post_content":"The protection of Europe's precious freshwater resources and the implementation of measures that promote their sustainable use are complex tasks that demand improvements in our scientific understanding of the fundamental hydrological processes that act at the catchments scale. At such large scales there is not yet a modelling approach that unifies, in a rigorous physically based sense, the stream channel, land surface, soil, and groundwater components of the hydrologic cycle. Developing, implementing, and testing such a unifying and integrative framework is the focus of the research being proposed. The framework builds upon previous Directives related to Community water policy, that require integrated management of surface water and groundwater in terms of quality and quantity through Management Plans covering the whole of a river basin. On the technological level, the DAUFIN project addresses two of the most important challenges in hydrology and water resources management, namely (i) how to use and incorporate various types of data, including in-site measurements and remote sensing, into models in order to improve our understanding of the hydrological cycle at various scales and to make water resources management more efficient; (ii) the need for a general purpose physically based modelling framework applicable to catchments across various scales and capable of treating in a unified way channel, surface, and subsurface (saturated and unsaturated zone) processes. The project represents a first large scale attempt on truly European river basins to integrate commonly available data sources, using predominantly existing data sets, within an rigorous systems approach for the study of hydrological processes.","post_title":"DAUFIN","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"daufin","to_ping":"","pinged":"","post_modified":"2026-04-02 12:39:20","post_modified_gmt":"2026-04-02 10:39:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/daufin\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19771,"post_author":"4","post_date":"2025-07-03 18:26:44","post_date_gmt":"2025-07-03 16:26:44","post_content":"Project activities were aimed to the development and application of models for water resource management at regional scale and basin scale. The activities were focused on the a) Preliminary study of the state of the art models and data. b) The organization of the data available. c) The development of hydrological models at catchment scale and of methods for estimating the water balance at regional scale","post_title":"MURST\/CIPE-IDRO","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"murst-cipe-idro","to_ping":"","pinged":"","post_modified":"2026-04-02 12:39:22","post_modified_gmt":"2026-04-02 10:39:22","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/murst-cipe-idro\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":12698,"post_author":"4","post_date":"2025-07-03 18:18:37","post_date_gmt":"2025-07-03 16:18:37","post_content":"The ICSC National Research Centre for High Performance Computing, Big Data and Quantum Computing promotes national and international-level innovation, building on a state-of-the-art infrastructure for computation and big data management.\u00a0 The Center focuses, on the one hand, on the maintenance and enhancement of the Italian HPC and Big Data infrastructure and, on the other hand, on the development of advanced numerical methods and applications, software tools and workflows, to integrate the computation, simulation, collection and analysis of data of interest to the research system and the productive and social system, including through cloud and distributed approaches. It engages and promotes the best interdisciplinary expertise in science and engineering, enabling radical and sustainable innovations in fields ranging from basic research to computational and experimental sciences of climate, environment, space, matter and life, epidemiology, materials technologies, and future systems and devices for IT and the production system at large. The Center supports higher education and promotes policy development for responsible data management from an open data and open science perspective, combining regulatory, standardization and compliance profiles.\n\u00a0\nCRS4 participates in the project in Spoke 9 (Digital Cities) through [a] the research and development of AI solutions to infer, from visual data or other measurements, of 3D structured models of buildings; [b] solutions to improve the quality and reliability of digital twins by fostering composability, interoperability, reusability and reproducibility of datasets, computational tools and their results; [c] the study and development of probabilistic methods for forecasting electricity consumption and renewable generation for individuals and smart and artificial intelligence methods for electricity consumption analysis and non-intrusive disaggregation of household electric loads.\n\u00a0\nProject Partners:\u00a0<a>https:\/\/www.supercomputing-icsc.it\/en\/partnership\/<\/a>","post_title":"HPCCN","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"hpccn","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:12","post_modified_gmt":"2026-04-02 10:32:12","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/hpccn\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12704,"post_author":"4","post_date":"2025-07-03 18:18:42","post_date_gmt":"2025-07-03 16:18:42","post_content":"The City of Cagliari has long been engaged in a journey to redefine its digital, integrated and coordinated strategy to address territorial challenges on smart, inclusive and sustainable growth in urban areas. As part of the adoption of the Smart City paradigm, the city has a strong interest in the themes of <strong>sustainable mobility, environmental sensing, smart energy management and tourism<\/strong>, themes in which the city has long invested in synergy with companies operating in the area.\u00a0 This investment has materialized over time with the provision of test scenarios within the municipal territory for the implementation of various research and development projects: Joint Innovation Center - JIC; National\u00a0Center\u00a0MOST; Metropolitan Digital Fabric - TDM; Cagliari2020; Cagliari Port 2020; Netergit; Smart Beach; Smart Parking; Smart Traffic; Cagliari Smart City.\n\u00a0\nThere is no doubt that an investment on new digital technologies requires continuous efforts to keep up with the fast pace of technological evolution associated with innovative solutions for cellular communications (5G\/6G) and enabling technologies, including AI, blockchain, quantum computing and IoT. Such investments can hardly be supported by SMEs alone, and this project represents an important effort in favor of the entrepreneurial fabric of the city of Cagliari.\nIn line with this goal, the project intends to provide a physical space and the necessary resources to develop business ideas, experiment with new technologies and transfer the knowledge gained toward SMEs, startups and innovative companies that can particularly benefit from digital transformations. Cagliari \"House of Technology,\" henceforth called <strong>Cagliari Digital Lab (CDL)<\/strong>, will therefore be able to fully graft itself into the ongoing activities for the development of new Smart City services envisaged in the METRO National Operational Program by expanding its scope, areas of intervention and sources of funding for experimentation in 5G and for the development and testing of innovative urban services in various sectors.\n\u00a0\nThe Cagliari Digital Lab will be based in Body B of the Bastion of San Remy, in Piazza Costituzione in the historic center of Cagliari, recently restored and used exclusively for the activities envisaged in the project.\u00a0\u00a0The physical space will be set up with workstations, prototyping area, areas for workshops and seminars as well as for carrying out communication, dissemination and animation activities.\nThe lab will be set up with:\n<ul>\n<li>a quantum computing platform for testing solutions for smart cities;\u00a0<\/li>\n<li>an indoor 5G infrastructure enabling the realization of applications of growing interest in different areas, such as: logistics, tourism and industrial automation;\u00a0<\/li>\n<li>an outdoor 5G infrastructure to illuminate two city areas based on an \"ALL IP\" network architecture with separation introduced between access, core and services\/applications network and supported by a mobile edge computing solution;\u00a0<\/li>\n<li>a cloud platform with nodes suitable for the development of Artificial Intelligence and Deep Learning applications;\u00a0<\/li>\n<li>a technology infrastructure capable of ensuring the connection of sensors, devices, vehicles, applications with edge computing and to the public\/private cloud, making available enormous data potential;\u00a0<\/li>\n<li>a platform of open APIs for service integration.\u00a0<\/li>\n<\/ul>\nIn addition, the CDL will include entrepreneurial contamination paths aimed at startups that intend to develop organizational, technological and business model innovations related to 5G\/6G solutions and enabling technologies.\n\u00a0\nAs part of the project, CRS4 is responsible for the following activities:\n<ul>\n<li>setup of a Quantum Computing laboratory, in which emerging technologies, such as quantum communication, quantum computing and hybrid computing, will be made available to catalyze their adoption in vertical applications; and development of a modular platform that deals with data management up to the presentation of the processed information;\u00a0<\/li>\n<li>development of software modules, prototypes and functional data for applied and experimental research in the field of mobility;\u00a0<\/li>\n<li>applied and experimental research in the field of efficient management of energy resources, with particular reference to methods for forecasting energy demand and production from renewable sources and scalable methods of data acquisition, aggregation, processing and presentation.<\/li>\n<\/ul>","post_title":"CDL","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"cdl","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:31","post_modified_gmt":"2026-04-02 10:32:31","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/cdl\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13303,"post_author":"4","post_date":"2025-07-03 18:18:59","post_date_gmt":"2025-07-03 16:18:59","post_content":"SENDER will develop the next generation of energy service applications for demand-response (DR), home-automation,-convenience and -security. It puts consumers at the heart of the energy market by engaging them in a co-creation process with other actors from the energy domain during the specification of pro-active DR mechanisms to cater for the consumers\u2019 long-term incentivization.\nGrid operators are the 2nd group of SENDER core beneficiaries. The project results will increase the efficiency\/hosting capacity of distribution networks by improving the quality of load forecasts and providing access to load flexibility, which will allow to improve frequency stability, congestion management and increased (Renewable Energy Systems) RES integration. In addition, monetarization on the flexibility potential will be provided by the participation in balancing and regulatory power markets.\nSENDER shifts DR from a reactive to a pro-active approach. Consumer data will be collected and processed by means of sensor data from its premises in a cyber-secure way to identify typical consumption patterns, mirror them by digital twins (DT) based on artificial intelligence technologies and aggregate the DTs supply\/demand characteristics. The clustering of the consumer DTs will be conducted based on societal science approaches at three demonstration sites.\nAllowing interoperability with legacy systems and third-party applications, SENDER envisions business models (BM) that base on the condition that the consumer receives a fair share of the DSOs profit from flexibility use. BMs will focus on the role of the DSO as a facilitator, but also on energy communities\/cooperatives as local actors that will manage their members \u0301 flexibility assets. Based on the co-creation process, consumers will also be actively involved into the BM design.\nThe SENDER wider roll-out after the project will be prepared by exploitation plans and implementation guides for the co-creation process and the SENDER soft- and hardware.","post_title":"SENDER","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"sender","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:04","post_modified_gmt":"2026-04-02 10:33:04","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/sender\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13307,"post_author":"4","post_date":"2025-07-03 18:19:02","post_date_gmt":"2025-07-03 16:19:02","post_content":"The research project TECHUS GRID aims at the realization of a platform (proof of concept) for the operational and accounting management of Dynamic Energy Communities (DECs); DECs represent an evolution of \"static\" energy communities because they integrate \"dynamic external\" factors such as environmental well-being within the property and daily habits in energy use by users to the concept of energy sharing. The platform, in fact, returns energy balancing results, not only based on the energy produced and consumed, but also on the basis of information on environmental well-being conditions within the property, acquired through environmental sensors and on the basis of user load curve profiles interpreted by an AI algorithm that performs a pattern recognition and load disaggregation analysis on the acquired profiles.  The platform, therefore, will implement an intelligent management model that can make decisions for the economic valuation of the shared energy used by the individual user based on information on consumption profiles and environmental well-being within the property. On the management model, in addition, solutions for accounting for energy exchanges among peers at the local level will be investigated by exploiting blockchain technology. For this purpose, automated credit distribution logics based on smart contracts and oracles, i.e., systems that can acquire data and information from outside and then provide those inputs to the smart contracts themselves, will be designed.","post_title":"TECHUS GRID","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"techus-grid","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:09","post_modified_gmt":"2026-04-02 10:33:09","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/techus-grid\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14752,"post_author":"4","post_date":"2025-07-03 18:19:21","post_date_gmt":"2025-07-03 16:19:21","post_content":"Water infrastructure management is now one of the key areas to evaluate the application and development of new models and technologies for energy efficiency. It is estimated that effective control of facilities can save 10% water and 12% to 30% energy. Therefore, increasing efficiency in water supply and distribution offers great potential for reducing energy consumption and CO2 emissions. This requires innovations that affect the entire process from energy rationalization, supply schemes for consumption centers powered by multiple sources to the optimization of pumping in the networks of adduction and distribution to the use of renewable energy.\n\u00a0\nENERGIDRICA will develop a decision support system for the energy efficiency of water supply and distribution networks by generating process innovations according to the principles of energy saving, energy reduction and integration with sustainable energy sources, in three complementary decision-making areas:\n- Urban center supply schemes from multiple sources. ENERGIDRICA will produce a structured and replicable methodology to energy rationalize the resource rates from each source, respecting the needs, the constraints of resource availability and the capacity of hydraulic carriers;\n- Management of pumping in adduction and distribution networks. ENERGIDRICA will develop methodologies for the analysis of energy inefficiencies and for the support of plant management that integrate advanced management-oriented hydraulic analysis tools, in which it is possible to physically based modeling of water losses in the network as indicators of energy and management efficiency;\n- Integration with sustainable energy sources. ENERGIDRICA will develop tools for the integration with sustainable energy sources in a logic of self-consumption to feed pumping systems. Different functionalities will be addressed to support the realization from scratch of sustainable energy recovery plants or to promote their use in the operational optimization of pumping.\n\u00a0\nAs part of the project, CRS4 will develop a forecasting system of generation from renewable sources for specific plants, based on the processing of the output of the GFS model at global scale, through machine learning systems based on historical data of energy production and weather forecasts.\u00a0\nThe forecasts, also of probabilistic type, will be made available through a web interface for the partners involved.\u00a0\n\u00a0\nThe transfer of the process innovations to the Managers will be ensured by the integration with the information systems already in use. The development of an open and flexible cloud architecture with respect to existing solutions will be integrated with interface services with sensors and actuators in an IoT logic. The standardization of processes through structured approaches, replicable and non-empirical, responds to the need to optimize the large hydraulic infrastructures that characterize the regions of the South, and beyond.","post_title":"ENERGIDRICA","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"energidrica","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:21","post_modified_gmt":"2026-04-02 10:33:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/energidrica\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14974,"post_author":"4","post_date":"2025-07-03 18:19:42","post_date_gmt":"2025-07-03 16:19:42","post_content":"Metropolitan cities are among the main places of economic and cultural activity of the 21st century. The growing urbanization and aggregation of metropolitan territorial communities, sustainable development, citizen engagement, economic and cultural attractiveness and governance are among the most important issues facing modern cities. The increasing complexity of these issues and the technological development are leading to an urgent need and the opportunity to radically rethink how we build and operate our cities.\nThis project aims at studying and developing innovative methods and technologies to offer new intelligent solutions to improve city attractiveness, resource management, and the safety and quality of the life of citizens through the close combination of use and experimentation of advanced communication infrastructure and widespread sensors, and the study and development of innovative vertical solutions.\nIn particular, the project will be focused on the following topics:\n<ul>\n<li>open technologies for ubiquitous communication and distributed sensing; <\/li>\n<li>aggregation, processing, and distribution or big data\/open data; <\/li>\n<li>citizen's safety from environmental hazards; <\/li>\n<li>energy awareness, and development of intelligent networks for energy distribution; <\/li>\n<li>scalable distribution and display of large amounts of data, with particular reference to numerical simulation and data from the cultural heritage sector.<\/li>\n<\/ul>\nThe project is also accompanied by a dissemination and training plan, in which three Summer Schools will be organized on the subject of Urban Informatics.\nThe project is part of a broader framework that aims to make Sardinia one of the most important regions in the development and application of innovative technologies for smart cities. In particular, project experiments will be carried out, at a metropolitan city scale, through an agreement with the Municipality of Cagliari and also by means of the computing and network infrastructures made available by the Joint Innovation Center - JIC, located in the scientific and technological park POLARIS (Pula, Cagliari).","post_title":"TDM","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"tdm","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:35","post_modified_gmt":"2026-04-02 10:33:35","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/tdm\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16794,"post_author":"4","post_date":"2025-07-03 18:20:09","post_date_gmt":"2025-07-03 16:20:09","post_content":"Achieving the EU's climate change and energy policy objectives for 2020 will require a major transformation of the EU and national electricity infrastructure.\u00a0\nThe need to develop energy planning systems that allow energy infrastructures to be managed in an eco-compatible and sustainable way becomes a fundamental prerogative. \u00a0\nSARDINE responds to this need for smart grid design by aiming to create a Web-based decision-support application that, through a tool, allows to increase the effectiveness of the analysis during the design of new smart grids or retrofitting of solutions to be improved.\nSARDINE for this purpose integrates different methodologies including: the Geographic Information System (GIS), the Multicriteria Optimization (OM) and the Life Cycle Assessment (LCA).\nSpecifically, the functionalities of each methodology include:\n<ul>\n<li>The GIS system will be used to gather, collect and present data and geographical constraints through the WBDSA.<\/li>\n<li>The LCA methodology will allow the processing of social, economic and environmental data and constraints.<\/li>\n<li>Multi-criteria optimization will provide the mathematical basis for assessing and providing the smart grid designer with the best options based on the requirements expressed. Optimization models can support decisions that minimize costs and negative impacts on the environment.<\/li>\n<\/ul>\nThe WBDSA will be tested using as a case study different areas of the metropolitan city of Cagliari, this application approach will make clear the benefits of the Tool and the results will be used as an example in the market access phase.","post_title":"SARDINE","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"sardine","to_ping":"","pinged":"","post_modified":"2026-04-02 12:34:00","post_modified_gmt":"2026-04-02 10:34:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/sardine\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19617,"post_author":"4","post_date":"2025-07-03 18:21:35","post_date_gmt":"2025-07-03 16:21:35","post_content":"The project aims at the development, design and implementation of a management and optimal control system for a Micro Smart Grid, which, by exploiting the local weather forecast, the characteristics of the systems of production, accumulation and consumption, will allow the definition of production profiles with a high level of reliability.","post_title":"MSG","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"msg","to_ping":"","pinged":"","post_modified":"2026-04-02 12:35:20","post_modified_gmt":"2026-04-02 10:35:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/msg\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19636,"post_author":"4","post_date":"2025-07-03 18:22:09","post_date_gmt":"2025-07-03 16:22:09","post_content":"","post_title":"HPC FIRE","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"hpc-fire","to_ping":"","pinged":"","post_modified":"2026-04-02 12:35:56","post_modified_gmt":"2026-04-02 10:35:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/hpc-fire\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19668,"post_author":"4","post_date":"2025-07-03 18:23:06","post_date_gmt":"2025-07-03 16:23:06","post_content":"The project EXTREME, granted by the Autonomous  Region of Sardinia to IBIMET CNR and University of Sassari, is focused on the study of wildfires in the  Sardinian territory and, in particular, of the extreme events that caused severe damages in the recent years. CRS4 contribution (as external  contractor) consists in providing partners with detailed  meteorological simulation data for a set of these events, together with  detailed low scale wind data on the ground, as a result of  Computational Fluid Dynamics simulations.","post_title":"EXTREME","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"extreme","to_ping":"","pinged":"","post_modified":"2026-04-02 12:36:56","post_modified_gmt":"2026-04-02 10:36:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/extreme\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19671,"post_author":"4","post_date":"2025-07-03 18:23:10","post_date_gmt":"2025-07-03 16:23:10","post_content":"The project aims, in cooperation with NICE srl, at implementing a cloud system to allow remote usage and display of the results of scientific applications based on high-performance computing. The project is carried out by the Energy &amp; Environment and HPCN groups.","post_title":"PIA CLOUD VR","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"pia-cloud-vr","to_ping":"","pinged":"","post_modified":"2026-04-02 12:37:02","post_modified_gmt":"2026-04-02 10:37:02","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/pia-cloud-vr\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19715,"post_author":"4","post_date":"2025-07-03 18:24:38","post_date_gmt":"2025-07-03 16:24:38","post_content":"The project aims at setting up an advanced cyberinfrastructure based on dedicated optical networks to support collaborative research application. The aim of Cybersar computational infrastructure is to support innovative computational applications by using leading edge hardware and technological solutions and to provide an experimental platform for research on the enabling technologies that will power next generation cyberinfrastructures.\nResearch activities are organized into 13 workpackages. CRS4 is directly involved in 7 WP:\n<ul>\n<li>Network of centers of high performance computing, integrated in a Grid infrastructure [<em>Gianluigi Zanetti<\/em>], <\/li>\n<li>Photonic metacomputers [<em>Gianluigi Zanetti<\/em>],<\/li>\n<li>Prediction of extreme weather events based on statistical ensamble techniques ensemble [<em>Ernesto Bonomi\/Marino Marrocu<\/em>], <\/li>\n<li>Inversion of seismic data for massively parallel in depth imaging [<em>Ernesto Bonomi<\/em>], <\/li>\n<li>Immersive exploration of scientific and engineering 3D datasets on very large scale displays [<em>Enrico Gobbetti<\/em>], <\/li>\n<li>Simulation modeling and design in process engineering and production [Giacomo Cao], <\/li>\n<li>Simulation modeling in spatial planning, and environmental services [<em>Giovanni Sechi\/Giuditta Lecca<\/em>].<\/li>\n<\/ul>","post_title":"CYBERSAR","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"cybersar","to_ping":"","pinged":"","post_modified":"2026-04-02 12:38:02","post_modified_gmt":"2026-04-02 10:38:02","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/cybersar\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19718,"post_author":"4","post_date":"2025-07-03 18:24:46","post_date_gmt":"2025-07-03 16:24:46","post_content":"GRIDA3: Gestore di  RIsorse conDivise per Analisi di dati e   Applicazioni Ambientali e' un sistema in rete telematica di risorse e   servizi condivisi, basati sull\u2019utilizzo delle  tecnologie GRID ed   accessibili mediante un\u2019interfaccia WEB amichevole, rivolto ad  utenti   pubblici e privati operanti nel settore della gestione e pianificazione   am bientale.\nGRIDA3 permettera' di eseguire elaborazioni di dati, supportate dagli   strumenti applicativi dei GIS (Sistemi Informativi Geografici), e   simulazioni multi-modello, basate su metodologie numeriche e tecnologie   software consolidate sviluppate dai partner del progetto e da soggetti   terzi, nei seguenti campi applicativi:\n<ul>\n<li>Idrologia e Gestione delle Risorse Idriche (<strong>OR4-AQUAGRID<\/strong>);<\/li>\n<li>Imaging geofisico (<strong>OR5-EIAGRID<\/strong>);<\/li>\n<li>Meteorologia (<strong>OR6-PREMIAGRID<\/strong>); <\/li>\n<li>Sistemi informativi geografici-GIS (<strong>OR7-AGISGRID<\/strong>); <\/li>\n<li>Tecnologie di bonifica, analisi dei costi e metodologie di analisi per il monitoraggio di siti inquinati (<strong>OR8-BONGRID<\/strong>).<\/li>\n<\/ul>","post_title":"GRIDA3","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"grida3","to_ping":"","pinged":"","post_modified":"2026-04-02 12:38:06","post_modified_gmt":"2026-04-02 10:38:06","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/grida3\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19765,"post_author":"4","post_date":"2025-07-03 18:26:33","post_date_gmt":"2025-07-03 16:26:33","post_content":"The MULINO project was developed within the European water policy context, as defined by the Water Framework Directive (2000\/60\/EC), with three main objectives: 1. To design and implement an operational decision support system for the management of water resources that is based on hydrologic modelling, multi-disciplinary indicators and a multicriteria evaluation procedure. \u00a02. To test the system in representative case studies in co-operation with local water management administrations. \u00a03. To demonstrate the potential of the tool in supporting the sustainable management of water resources in Europe. The final result is a tool, the MULINO DSS software \"mDSS\", that has been developed as a stand-alone software, and an overall methodology within which the tool can be applied for an integrated approach to decision problems related to water management. The software incorporates integrated analysis modelling (IAM), multi-criteria analysis (MCA) and the European Environment Agency's DPSIR framework, adopting state-of-the-art data formats to guarantee interoperability. The system does not require additional software, which should improve the potential for its utilisation by water management administrations. Optional links with GIS software, hydrological models and\/or meta-models are provided, and in the last version of the software a full coupling procedure links mDSS3 with the CRASH hydrologic model. The software can be coupled also with any hydrological model which respects a standard input\/output procedure. The MULINO website and CDRom containing the software and all of its support materials are available for free distribution.","post_title":"MULINO","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"mulino","to_ping":"","pinged":"","post_modified":"2026-04-02 12:39:14","post_modified_gmt":"2026-04-02 10:39:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/mulino\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Marino Marrocu - CRS4<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.crs4.it\/en\/people\/marino-marrocu\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Marino Marrocu - CRS4\" \/>\n<meta property=\"og:description\" content=\"Senior researcher at CRS4, he is head of the Environmental Sciences branch of the Energy &#038; Environment program. His research interests are related to meteorological mesoscale ensemble prediction, climatic modelling and environmental data analysis. 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