Abstract

A case study on climate models intercomparison data analysis addressing several classes of multi-model experiments is being implemented in the context of the EU H2020 INDIGO-DataCloud project. Such experiments require the availability of large amount of data (multi-terabyte order) related to the output of several climate models simulations as well as the exploitation of scientific data management tools for large-scale data analytics. More specifically, the paper discusses in detail a use case on precipitation trend analysis in terms of requirements, architectural design solution, and infrastructural implementation. The experiment has been tested and validated on CMIP5 datasets, in the context of a large scale distributed testbed across EU and US involving three ESGF sites (LLNL, ORNL, and CMCC) and one central orchestrator site (PSNC).

Autore Pugliese

• Aloisio Giovanni

Tutti gli autori

• Fiore S. , Plociennik M. , Doutriaux, C. , Palazzo C. , Boutte J. , Zok T. , Elia D. , Owsiak M. , D'Anca A. , Shaheen Z. , Bruno R. , Fargetta M , Caballer M. , Molto G. , Blanquer I. , Barbera R. , David M. , Donvito G. , Williams D. N. , Anantharaj V. , Salomoni D. , Aloisio G.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2016

ISSN

Non Disponibile

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

2

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile