Are you interested in the latest ESiWACE community developments?

  • Check out our latest publications and results on Zenodo
  • Follow us on Twitter Twitter
  • or access the news items here below


14. Sep 2022

HPDA & Visualisation training 2022 successfully completed

In this third and final ESiWACE2 online training on High Performance Data Analytics (HPDA) and Visualisation, more than 50 registered participants from 17 countries learned the ropes of HPDA and visualisation using Ophidia, PyOphidia and ParaView.

20. Jul 2022

View the DYAMOND analysis at UMAP 2022

From 25-29 July 2022, the DYAMOND data analysis will be presented at the 3rd Pan-GASS Meeting, Understanding and Modeling Atmospheric Processes (UMAP 2022) at Monterey, CA, USA.

1. Jun 2022

ISC'22 in Hamburg (DE): ESiWACE poster and DKRZ exhibition booth

At this year's ISC High Performance conference, DKRZ is present with an exhibition booth, which is still open until Wednesday, 1 June at 4:00 pm. For ESiWACE, Erwan Raffin (Atos) has presented a poster on the ESiWACE2 HPC user-service "Model Refactoring and Porting".

23. May 2022

ESiWACE contributions to EGU22

EGU22 is under way, with ESiWACE staff co-convening sessions on ML for earth system modelling and high-resolution weather and climate simulation on Monday, Tuesday and Friday.

29. Mar 2022

DYAMOND data analysis contest at UMAP 2022

ESiWACE suports a DYAMOND data analysis contest for early career researchers at the 3rd Pan-GASS Meeting, Understanding and Modeling Atmospheric Processes (UMAP 2022).

7. Mar 2022

nextGEMS: Let’s hack in Vienna

The Hackathon of our partner project nextGEMS goes into the 2nd Cycle! Registration and stipend application is now open.

22. Dec 2021

Wanted: Scientific Programmer for in-situ data processing (all genders)

Come work with us! DKRZ is looking for a scientific programmer for in-situ data processing (all genders) to improve the analysis and visualisation workflow with the ICON weather- and climate model and ParaView. Your first year will be within project ESiWACE2. Apply before January 22, 2022!

23. Nov 2021

SC’21 Best Visualization Award for DKRZ, MPI-M, Stockholm University and Intel Corporation

A team of the German Climate Computing Center (DKRZ), the Max Planck Institute for Meteorology (MPI-M), Stockholm University, and the Intel Corporation has received the SC'21 Best Scientific Visualization & Data Analytics Showcase Award for their visualisation “Putting the Ocean into the Center: A coupled ICON Atmosphere/Ocean Simulation in Spilhaus Projection”, which was supported by ESiWACE2.

12. Nov 2021

ESiWACE2 will be contributing to SC21

This year's Supercomputing Conference (SC21) will be held as a hybrid event from 14 to 19 November 2021. Find out about our ESiWACE2-related activities there!

4. Nov 2021

HPDA & Visualisation training 2021 successfully completed

At this year's ESiWACE2 online training on High Performance Data Analytics (HPDA) and Visualisation, more than 60 registered participants from 20 countries gained hands-on experience using ParaView, Ophidia and PyOphidia.

29. Oct 2021

Submit your abstracts for EGU22!

At EGU22, ESiWACE2 colleagues will be co-convening sessions on high-resolution weather and climate simulations and on machine learning for earth system modelling. Submit your abstracts before 12 January 2022, 13:00 CET!

30. Sep 2021

ESiWACE2 Service call for 2022 now open!

We are looking forward to a new phase of supporting weather and climate modeling groups in preparing their codes for new hardware platforms and the upcoming generation of (pre-)Exascale supercomputers. Apply now for our services!

2. Aug 2021

XIOS User Support 2021 successfully allocated

With 4 proposals submitted to the 2021 call for Dedicated User Support for XIOS within ESiWACE2 User Service 2, the selection committee chose to support both the UK Met Office and Mercator-Ocean/LOCEAN-IPSL with 1 person-month each.

21. May 2021

ESiWACE2 contributions to vEGU21

At this year's virtual EGU General Assembly, ESiWACE2 project partners will be co-convening sessions on high resolution modelling of weather and climate and on machine learning for Earth System modelling, as well as contributing to a course on data visualisation.