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NASDAC TERMINATED

iNnovative Approaches for Scalable Data Assimilation in oCeanography

Total Cost €

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EC-Contrib. €

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Partnership

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Project "NASDAC" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II 

Organization address
address: CORSO UMBERTO I, 40
city: NAPOLI
postcode: 80138
website: www.unina.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website http://nasdac.eu/
 Total cost 1˙174˙500 €
 EC max contribution 558˙000 € (48%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2015
 Funding Scheme MSCA-RISE
 Starting year 2016
 Duration (year-month-day) from 2016-03-01   to  2020-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II IT (NAPOLI) coordinator 247˙500.00
2    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) participant 207˙000.00
3    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 103˙500.00
4    THE REGENTS OF THE UNIVERSITY OF CALIFORNIA US (OAKLAND CA) partner 0.00
5    UCHICAGO ARGONNE LLC US (CHICAGO IL) partner 0.00

Map

 Project objective

This Project is placed in the scientific context of Uncertainty Quantification (UQ) in Ocean Circulation Models (OCMs). The principal objective of the Project is to establish a long-lasting collaboration, to provide a possibility for transfer of knowledge, to enable exchanges of research personnel, and to create an intercontinental network in the area of oceanographic Data Assimilation (DA). The focus is on the improvement of the numerical algorithms of computational science environments able to exploit the high performance that will be available at the exascale. The main expected scientific result of the Project will be the design and development of scalable approaches to DA based on domain decomposition methods, communication avoiding algorithms, and hybrid parallel implementations on multiprocess/multi-thread paradigms, for 4-dimensional Variational (4DVar) DA models designed for efficient use in OCMs in real time. The new algorithms will be implemented and tested in the Regional Ocean Modeling System (ROMS), which is a most popular framework in which a 4DVar model has been developed, and validated using data collected in the enclosed and semi enclosed seas, such as West Africa/Angola, Mediterranean, North Sea and Caspian sea. The expertise of the consortium partners is mutually complementary, and encompasses the development of numerical models and scalable algorithms for DA (UNINA, ANL), the study of various observed and predicted data in real applications (ICL) that are coupled with the development and the implementation of these methods in ROMS 4DVar (UCSC, UNINA) to be tested on emerging supercomputers (BSC-CNS). Realization of the Project will strengthen the scientific potential of DA models integrated in OCMs and will contribute to the sustainable development in participating Partner Countries. Ethical issues of the research will be duly addressed.

 Publications

year authors and title journal last update
List of publications.
2017 Rossella Arcucci, Luisa D’Amore, Luisa Carracciuolo, Giuseppe Scotti, Giuliano Laccetti
A Decomposition of the Tikhonov Regularization Functional Oriented to Exploit Hybrid Multilevel Parallelism
published pages: 1214-1235, ISSN: 0885-7458, DOI: 10.1007/s10766-016-0460-3
International Journal of Parallel Programming 45/5 2019-06-17

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