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Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (IT)

The Euro-Mediterranean Center on Climate Change (CMCC; is a Foundation, that aims at furthering knowledge in the field of climatic variability, including causes and consequences, through the development of high resolution simulations and impact models. CMCC gathers the know-how from its funding Institutions (Istituto Nazionale di Geofisica e Vulcanologia, Università del Salento, Centro Italiano di Ricerche Aerospaziali, Università Ca’ Foscari Venezia, Fondazione Eni Enrico Mattei, Università di Sassari, Università della Tuscia, Università degli Studi del Sannio), focusing on climate change issues and applications for environmental management. The mission of CMCC is also to encourage and foster collaboration among universities, national and international research institutions, local institutions and industrial sectors. CMCC represents, at the national and international scale, an institutional point of reference for decision makers, public institutions, as well as private and public companies seeking technical-scientific support. CMCC brings together highly qualified experts from different climate research areas in a single unique institution.

The following eight research Divisions work together in an interdisciplinary manner: ASC (Advanced Scientific Computing), CSP (Climate Simulations and Predictions), ECIP (Economic Analysis of Impact and Policy), IAFES (Impacts on Agriculture, Forests and Ecosystems Services), ODA (Ocean modeling and Data Assimilation), OPA (Ocean Predictions and Applications), RAS (Risk Assesment and Adaptation Strategies), REMHI (Regional Models and Hydrogeological Impacts).

Moreover, CMCC hosts in Lecce the Supercomputing Center (180 Tflops of computing power, 1.2 Petabyte on-line storage and 3 PetaBytes Archiving capacity).

The Advanced Scientific Computing (ASC) Division of CMCC carries out Research & Development activities on Computational Sciences applied to Climate Change. In particular, the Division works both on the scalability, the optimization and the parallelization of numerical models for climate change simulations and on the design and implementation of open source solutions addressing efficient access, analysis, and mining of large volumes of scientific data in the climate change domain. In this regard, CMCC provides a big data analytics framework (Ophidia), targeting parallel data analysis on large volumes of scientific/multidimensional data (e.g. multi-terabytes order datasets). The Ocean modeling and Data Assimilation (ODA) Division focuses on the development of numerical models, methods of data assimilation, production of reanalysis and datasets for global marine forecasts and the study of the interactions between the physical and biogeochemical processes of oceans and the cryosphere in climate variability. The Climate Simulations and Predictions (CSP) Division deals with the development of models of the Earth system, the production of climate predictions and the realization of projections of climate change on scales which range from seasonal to centuries.

CMCC is member of the NEMO Consortium contributing to its System Team, whose main goal is, among the others, the optimizations of NEMO on the computers available in the Consortium.

Moreover CMCC participates to the NEMO HPC working group.

CMCC is also member of the European Network for Earth System Modelling (ENES) and partner of the Earth System Grid Federation (ESGF), providing access to 100TB CMIP5 data through its data node deployed at the CMCC Supercomputing Center. Finally, CMCC is partner of several EU FP7-H2020 and other national and international projects, working on the development of high resolution global and regional climate models, their parallel optimization on many core clusters as well as on the development of efficient solutions for data management.

Role in the project

CMCC’s contribution to ESiWACE is dedicated WP1, WP2, WP3 and WP4.

In particular, CMCC will participate to the following activities: enhancing community capacity in HPC; performance analysis and inter-comparisons with the definition of standard efficiency metrics for parallel performance analysis, with benchmarking I/O servers and coupling technologies; efficiency enhancement of models and tools through model optimisation; ESM scheduling; implementation of new Storage Layout for Earth System Data with the investigation of suitable memory and storage back-ends able to support horizontally scalable management of multidimensional scientific data.

Names of the colleagues involved

Dr. Antonio Navarra, Prof. Giovanni Aloisio, Dr. Sandro Fiore, Dr. Silvia Mocavero, Dr. Simona Masina, Dr. Silvio Gualdi

Relevant infrastructure and services available for climate & weather

Infrastructure: The HPC infrastructure managed at the CMCC Supercomputing Centre is composed of a 960 cores IBM Power6 cluster (peak performance 18TFlops) and a 8000 cores Intel Xeon Sandy Bridge (peak performance 160TFlops). Part of this infrastructure will be used for running data management/analysis services and training activities.

Datasets: CMCC publishes about 100TB of climate simulations datasets in the CMIP5 federated data archive related CMCC models.

Software: CMCC provides the Ophidia software, a cross-domain big data analytics framework for the analysis of scientific, multi-dimensional datasets. This framework exploits a declarative, server side approach with parallel data analytics operators.


Upcoming Events
EGU 2019 Apr 07, 2019 - Apr 12, 2019 — Vienna (AT)
EXDCI-2 workshop on High Performance Data Analytics May 13, 2019 - May 17, 2019 — Poznan (PL)
ISC 2019 Jun 16, 2019 - Jun 20, 2019 — Frankfurt (DE)
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