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MAchinE Learning for Scalable meTeoROlogy and cliMate

Project description

Customised machine learning solutions for weather and climate models

With climate change being described as the greatest threat facing modern humans ever, it’s necessary to develop the tools needed to prepare for its potential future effects. Machine learning can help improve weather and climate modelling. With that in mind, the EU-funded MAELSTROM project aims to improve European computer architecture to help evaluate future climate impacts. Specifically, it will advance compute system designs for optimal application performance and energy efficiency, a software framework to optimise usability and training efficiency for machine learning at scale, and large-scale machine learning applications for the domain of weather and climate science. Customised compute systems will be designed that are optimised for application needs to strengthen Europe’s high-performance computing portfolio.

Call for proposal

H2020-JTI-EuroHPC-2019-1
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Coordinator

EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS
Address
Shinfield Park
RG2 9AX Reading
United Kingdom
Activity type
Research Organisations
EU contribution
€ 380 625

Participants (6)

4CAST GMBH & CO KG
Germany
EU contribution
€ 435 625
Address
David-gilly-strasse 1
14469 Potsdam
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
E4 COMPUTER ENGINEERING SPA
Italy
EU contribution
€ 301 531,25
Address
Via Martiri Della Liberta 66
42019 Scandiano
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland
EU contribution
€ 303 000
Address
Raemistrasse 101
8092 Zuerich
Activity type
Higher or Secondary Education Establishments
FORSCHUNGSZENTRUM JULICH GMBH
Germany
EU contribution
€ 395 675
Address
Wilhelm Johnen Strasse
52428 Julich
Activity type
Research Organisations
METEOROLOGISK INSTITUTT
Norway
EU contribution
€ 165 375
Address
Henrik Mohns Plass 1
0313 Oslo
Activity type
Research Organisations
UNIVERSITE DU LUXEMBOURG
Luxembourg
EU contribution
€ 174 375
Address
2 Avenue De L'universite
4365 Esch-sur-alzette
Activity type
Higher or Secondary Education Establishments