000247833 001__ 247833
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000247833 0247_ $$2CORDIS$$aG:(EU-Grant)675191$$d675191
000247833 0247_ $$2CORDIS$$aG:(EU-Call)H2020-EINFRA-2015-1$$dH2020-EINFRA-2015-1
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000247833 035__ $$aG:(EU-Grant)675191
000247833 150__ $$aExcellence in SImulation of Weather and Climate in Europe$$y2015-09-01 - 2019-08-31
000247833 371__ $$aNational University of Ireland Galway$$bNUI GALWAY$$dIreland$$ehttp://www.nuigalway.ie/$$vCORDIS
000247833 371__ $$aBARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION$$bBSC$$dSpain$$ehttp://www.bsc.es$$vCORDIS
000247833 371__ $$aMax Planck Society$$bMPG$$dGermany$$ehttp://www.mpg.de/en$$vCORDIS
000247833 371__ $$aGerman Meteorological Service$$bDWD$$dGermany$$ehttp://www.dwd.de/$$vCORDIS
000247833 371__ $$aBULL SAS$$bBULL$$dFrance$$ehttp://www.bull.com$$vCORDIS
000247833 371__ $$aSCIENCE AND TECHNOLOGY FACILITIES COUNCIL$$bSTFC$$dUnited Kingdom$$ehttp://www.scitech.ac.uk$$vCORDIS
000247833 371__ $$aSEAGATE SYSTEMS UK LIMITED$$bSEAGATE SYSTEMS$$dUnited Kingdom$$vCORDIS
000247833 371__ $$aUniversity of Reading$$bUniversity of Reading$$dUnited Kingdom$$ehttp://www.reading.ac.uk/$$vCORDIS
000247833 371__ $$aARM LIMITED$$bARM$$dUnited Kingdom$$vCORDIS
000247833 371__ $$aMet Office$$bMet Office$$dUnited Kingdom$$ehttp://www.metoffice.gov.uk/$$vCORDIS
000247833 371__ $$aEuropean Centre for Medium-Range Weather Forecasts$$bECMWF$$dUnited Kingdom$$ehttp://www.ecmwf.int/$$vCORDIS
000247833 371__ $$aDeutsches Klimarechenzentrum$$bDKRZ$$dGermany$$ehttps://www.dkrz.de/?set_language=en&cl=en$$vCORDIS
000247833 371__ $$aAllinea Software (United Kingdom)$$bAllinea Software (United Kingdom)$$dUnited Kingdom$$ehttp://www.allinea.com/$$vCORDIS
000247833 371__ $$aSwedish Meteorological and Hydrological Institute$$bSMHI$$dSweden$$ehttp://www.smhi.se/en$$vCORDIS
000247833 371__ $$aCNRS - Institut des Sciences Biologiques$$bINSB$$dFrance$$ehttp://www.cnrs.fr/insb/$$vCORDIS
000247833 371__ $$aEuro-Mediterranean Center for Climate Change$$bCMCC$$dItaly$$ehttp://www.cmcc.it/$$vCORDIS
000247833 371__ $$aCentre Europeen De Recherche Et De Formation Avancee En Calcul Scientifique$$bCERFACS$$dFrance$$ehttp://www.cerfacs.fr/$$vCORDIS
000247833 371__ $$aTechnology Strategy Board$$bUKRI$$dUnited Kingdom$$ehttps://www.ukri.org/$$vCORDIS
000247833 372__ $$aH2020-EINFRA-2015-1$$s2015-09-01$$t2019-08-31
000247833 450__ $$aESiWACE$$wd$$y2015-09-01 - 2019-08-31
000247833 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000247833 680__ $$aESiWACE will substantially improve efficiency and productivity of numerical weather and climate simulation on high-performance computing platforms by supporting the end-to-end workflow of global Earth system modelling in HPC environment. This will be obtained by improving and supporting (1) scalability of models, tools and data management on state-of-the-art supercomputer systems (2) Usability of models and tools throughout the European HPC eco-system, and (3) the Exploitability of the huge amount of resulting data.
We will develop solutions for cross-cutting HPC challenges particular to the weather and climate domain. This will range from the development of specific software products to the deployment of user facing services for both, computing and storage.
ESiWACE leverages two established European networks, namely (1) the European Network for Earth System modelling, representing the European climate modelling community and (2) the world leading European Centre for Medium-Range Weather Forecasts. The governance structure that defines the services to be provided will be driven by the European weather and climate science community.
Weather and climate computing have always been one of the key drivers for HPC development, with domain specific scientific and technical requirements that stretch the capability and capacity of existing software and hardware to the limits. By developing solutions for Europe and at European scale, ESiWACE will directly impact on the competitiveness of the European HPC industry by engendering new products, providing opportunities for exploitation beyond the project itself, and by enhancing the skills base of staff in both industry and academia.
ESiWACE will be at once thematic, as it focuses on the HPC application domain of climate and weather modeling, transversal, as it covers several aspects of computational science, and challenge-driven, as climate and weather predictability represents a major societal issue.
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