CIMA
PARTNER SHORT DESCRIPTION
The Foundation, named Centro Internazionale In Monitoraggio Ambientale(International Centre On Environmental Monitoring), is a not for profit organization under the Italian Legal Regulations. The Founding Institutions were the Civil Protection Department of the Italian Prime Minister’s Cabinet Office, the University of Genova, the Government of the Region of Liguria, and the Administration of the Province of Savona. A framework agreement between CIMA and University of Genoa is active for regulating joint activities in research programs. CIMA Research Foundation controls ACROTEC Foundation. Since last five years, ACROTEC has developed, in cooperation with CIMA, a rich portfolio of Disaster Risk Reduction and Decision Support System services (e.g. DEWETRA platform) for the Italian Civil Protection Department and other international stakeholders, as well as an innovative model of design, distribution and installation on “field-ready” professional environmental monitoring systems based on recent concepts of Open Hardware and Internet of Things (IoT). ACROTEC Foundation will contribute via CIMA Research Foundation to the project activities.
Website: http://www.cimafoundation.org/
KEY PEOPLE
Antonio Parodi (male), Ph.D., Program Director at CIMA Research Foundation. Master Degree in Environmental Engineering, University of Genova, Italy (1998). Research Scholar at MIT -EAPS, (2002). Member of Radar Science Group at JPL-NASA (2009). His research interests are related to the development of simplified models of dry and moist convection and to the study of the main sources of uncertainty in the high-resolution numerical modeling of deep moist convective processes. Project director of the FP7 projects DRIHMS (www.drihms.eu, 2009-2011), DRIHM (www.drihm.eu, 2011-2015), and DRIHM2US (www.drihm2us.eu, 2012-2015), and of the ESA project STEAM (SaTellite for Earth observation Atmospheric Modelling). Project Director of the H2020 SINOPTICA (2020-2022) -Satellite-Borne and In-Situ Observations to Predict the Initiation of Convection for ATM dedicated to the assimilation of data for the improvement of mathematical models used in the prediction of extreme events, in order to support air traffic management. WP2 Application, Language, and Data Requirements leader within H2020 project dEsign enVironmEnt foR Extreme-Scale big data analytics on heterogeneous platforms (EVEREST) to explore the portability of the WRF model in FPGA environment, as well as the execution of hydro-meteorological and air quality workflows on high performance computing facility. He is author and co-author of 60 publications in international peer-reviewed journals.
Antonella Galizia (female), Ph.D.,is a researcher at the Institute of Applied Mathematics and Information Technologies of the National Council Research (IMATI-CNR) and an associated researcher at CIMA Foundation. She received her degree at the University of Naples Federico andthe PhD at the University of Genova. Antonella has been visiting researcher at CMRE-NATO and CESGA, Supercomputing Centre of Galicia, and invited researcher at LMU, University of Munich. Her interests are in the fields of parallel and distributed computing for the effective and efficient exploitation of advanced computing systems to improve the quality of software for advanced applications. In particular, she investigates hydrometeorological and bioinformatics applications. Antonella has participated in different EU-funded projects aimed to promote and use e-Infrastructures within the hydro-meteorological research community in Europe and US. Through the DRIHM2US, DRIHM and DRIHM2US projects, she gained a deep knowledge on specific applications, data processing models and methodologies for meteorological data, the development of e-Science portals, and on the exploitation of the majors European computing Infrastructure ecosystems.
MAIN activities
CIMA research deals with the study of uncertainty propagation in hydro-meteorological forecasting chains, the usage of meteorological models in cloud permitting (5-2 km grid spacing), cloud resolving (2-1 km grid spacing), and large eddy simulation mode (1-0.1 km grid spacing) for the study of severe rainfall processes over complex topography areas, as well as with the development of rainfall downscaling and hydrological models. CIMA has participated to several national and international disaster risk reduction (DRR) projects, and it coordinated/participated in a number of FP7 and H2020 projects. In this respect, CIMAwill provide the weather-analysis models for the use case of the production prediction of renewable energies, developed together with DUFERCO, and for the air-quality monitoring use case, developed with NUMTECH, with the integration of a decision-making support based on deep learning methods. CIMAwill also lead the WP2 on the development of the application, language and data requirements.