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3rd ENES Workshop on Workflows funded by ESiWACE

When Sep 13, 2018 08:00 AM to
Sep 14, 2018 01:30 PM
Where Brussels
Contact Name
Contact Phone +494041173369
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The ESiWACE "Centre of Excellence in Simulation of Weather and Climate in Europe" project is organising the: 3rd ENES Workshop on Workflows.

The main focus of the workshop is on workflow requirements, challenges, tools and solutions for scientific research in the climate and weather domains. The workshop sessions will address specifically (i) Workflow software, (ii) Recent community experiences exploiting workflow tools  and (iii) data centre  requirements for workflows.

Moreover, during the second day, a parallel session on Master classes on Workflow tools will provide technical and practical hints through hands-on sessions on two workflow tools: Cylc and Ophidia.


The most recent version of the agenda can be found here. The workshop will start on September 13 at 8.00 and end on September 14 at 13.30, or possibly up to 16:30 depending on the final agenda.

If you would like to present at the workshop and have not been contacted by the organising committee, please contact a member of the organising committee before the (extended dead line) end of April May July with a title and brief description of the presentation.


It will take place at the EU Liaison Office of the German Research Organisations (KoWi), Rue du Trône 98, B- 1050 Bruxelles.  Office Brussels for a map, a list of hotels is here.


To register for the workshop please follow this link. The registration to attend this workshop is compulsory.
The deadline is July 31 2018.
The number of participants will be limited to 40 participants, so please make sure to register well in advance!

Considering the limited number of places, your registration will be subject to the final approval by the program committee.

Program Committee

Reinhard Budich, Mick Carter, Giovanni Aloisio, Sandro Fiore, Kim Serradell

The workshop will be free of charge.


This event is funded by ESiWACE: the ESiWACE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 675191



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