New preprint: HClimRep-Ocean, a Global Ocean Emulator on an Unstructured Mesh

A new preprint by Kacper Nowak and colleagues, HClimRep-Ocean: A Global Ocean Emulator on an Unstructured Mesh, presents a machine-learning emulator developed to predict ocean dynamics directly on the native unstructured mesh of the FESOM2 ocean model. This approach avoids the need to interpolate ocean fields onto a regular grid, offering a promising direction for […]

HClimRep researchers contribute to MLESM 2026 in Bonn

Members of the HClimRep project joined researchers from around the world in Bonn for MLESM 2026, a two-part event featuring a hackathon and a workshop in August. More than 100 researchers from the Earth system science and machine learning (ML) communities came together to explore how machine learning can help address emerging challenges in Earth system […]

HClimRep at the 9th ENES HPC Workshop

HClimRep was represented by Project Coordinator Savvas Melidonis at the 9th ENES HPC Workshop on “HPC for High-Resolution Climate and Weather Modelling”, held from 19–21 May 2026 at the Swedish Meteorological and Hydrological Institute (SMHI) in Norrköping, Sweden. The workshop brought together leading researchers, software developers, HPC specialists, and industry experts to discuss the growing […]

HClimRep annual in-person meeting 2026, Hamburg

On March 19–20, 2026, the HClimRep group gathered in Hamburg for its third annual in-person meeting, hosted by the Hereon group at the International Maritime Museum. Partners from FZJ, AWI, KIT, and Hereon came together to review project progress, align future research directions, and strengthen collaboration across work packages. The meeting provided an important opportunity […]

Internal Hackathon – AWI Bremerhaven

On March 17–18, 2026, a small HClimRep Hackathon was held at the AWI partner’s offices in Bremerhaven. Five members of the HClimRep project – Ankit Patnala, Aleksei Koldunov, Jehangir Awan, Kacper Nowak, and Savvas Melidonis – gathered to work on climate‑forecasting and downscaling applications using tropospheric and oceanic data with the WeatherGenerator model. The set‑up of the experiments progressed smoothly and […]

HClimRep Presented at AlgoEarth & CESOC Workshop on Advancing AI Climate Models

Cologne, 5th March, 2026 The HClimRep project was presented at the AlgoEarth & CESOC Workshop: Advancing AI Climate Models, held on 4–5 March 2026 at the University of Cologne. The workshop brought together international experts from research institutions, academia, and industry to discuss how artificial intelligence can move beyond short-term weather forecasting toward reliable climate […]

HClimRep annual in-person meeting 2025, Cologne, Germany

In early September, the HClimRep team gathered in Cologne for their annual project meeting. Nearly 20 researchers from different Helmholtz centers came together for two days of discussions on progress, challenges, and next steps.  A major focus of the meeting was the WeatherGenerator prototype, which integrates atmosphere, ocean, and stratosphere into a single framework. While […]

HClimRep annual in-person meeting 2024, Berlin, Germany

The second HClimRep project meeting will take place at the premises of the Helmholtz Head Office in Berlin on Tuesday, November 26th. We will review the current status of the ongoing HClimRep work packages and follow-up on our intense science discussions from the kickoff meeting in Cologne. On the day after the project meeting, a […]

HClimRep hackathon on 20. to 21. November 2024 at Cologne

The HClimRep project members are organizing a 2-day hackathon event at the co-working space of “Die Wohngemeinschaft” in Cologne on November 20 to 21. The main objectives of the event are: 1.) Deepen knowledge about the Atmorep code and development for HClimRep project members who have already started to work with the code, 2.) Provide […]

Invited presentation at KAIST, Seoul, Korea

Seoul, 25. September 2024 Martin Schultz gave an invited lecture at the KAIST Institute for AI in Seoul, Korea. The lecture summarized the rapid advancements of AI for weather and climate research and discussed the state-of-the-art as it was presented at the second workshop on “Large-scale deep learning for the Earth System” in Bonn, Germany, […]