First white paper on community guidelines on the use, value and applicability of emerging technologies in climate and weather applications

On June 30, 2020, the Workshop on Emerging Technologies for Weather and Climate Modelling was held as a virtual event within the framework of ESiWACE2, the Centre of Excellence in Simulation of Weather and Climate in Europe. The workshop organized by Giovanni Aloisio (CMCC), Graham Riley (UNIMAN), Carlos Osuna (METEOSWISS) and Sandro Fiore (CMCC), was hosted by DKRZ with the local support by Dela Spickermann and Florian Ziemen under the supervision of the ESiWACE2 Coordinator Joachim Biercamp. The workshop was funded by the Horizon 2020 project ESiWACE2. Due to the situation with COVID-19, the event was held as a virtual conference with approximately 143 participants mainly from Europe and the US, but also from Brazil, India and Israel. The workshop brought together scientists from the fields of earth system modeling, machine learning, exascale hardware/computing, and programming models, informing them about the latest developments in these fields and fostering a mutual exchange, also involving HPC experts. The agenda of the workshop was organized in three sessions, for a total of 17 talks, focusing on: Exascale hardware (Session 1), Programming models and hardware interplay (Session 2) and Machine Learning (Session 3). Two sessions were organised in the morning (for EU speakers), while the third one was scheduled in the afternoon to allow US speakers to give talks during their local daylight hours. All talks were held as a videoconference, whereby the presentation slides as well as the speaker were usually broadcasted live to all participants via screen sharing. Questions for the speakers were collected in online documents during the talk and directed to the speakers by the chairpersons afterwards. As main outcome of this workshop, a set of community guidelines on the use, value and applicability of emerging technologies in climate and weather applications was produced. The guidelines are related to the areas of Exascale hardware, Programming models & hardware interplay and Machine Learning. A second white paper is planned during the ESiWACE2 project to harden, update and extend the main findings collected in these three areas from this first workshop