Agnes Lohs, Autor bei HClimRep

HClimRep researchers contribute to MLESM 2026 in Bonn

Agnes Lohs — Thu, 08 Oct 2026 13:49:33 +0000

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 research.

The event was hosted by the Institute of Computer Science at the University of Bonn and supported by the Center for Earth System Observation and Computational Analysis (CESOC) and the HClimRep project.

The event consisted of two parts: a hackathon from 19 to 21 August, followed by a workshop from 24 to 26 August. Held for the second consecutive year, the hackathon brought participants together for three days of coding, experimentation, and collaborative work on concrete challenges at the intersection of machine learning, Earth system science, and high-performance computing. Members of HClimRep played an active role in organising the event and contributed as lecturers and tutors during the hackathon.

A challenge for the hackathon: Integrating SST into weather and climate models

One of the five hackathon challenges was organised and tutored by researchers from the HClimRep project and members of the ESDE team from Forschungszentrum Jülich. The challenge, “Integrating SST into weather and climate models,” explored how sea surface temperature (SST) can be incorporated into a modern, data-driven weather model to better capture long-term warming trends.

Working with the WeatherGenerator model, the teams compared two different integration strategies and developed their own evaluation routines to assess their performance. The challenge was supervised by Savvas Melidonis, Jifeng Wang, Jehangir Awan, and Ankit Patnala. The model’s response to the integrated information was measured and successfully analysed.

Input from the experts

The hackathon was accompanied by a series of lectures, including a contribution from Martin Schultz, lead PI of HClimRep, on the fundamentals of conventional and machine-learning-based weather modelling. This and other sessions provided participants with additional background and context for their three days of hands-on coding and data analysis.

Connecting research through weather and climate

Following the hackathon, the fourth MLESM workshop provided a platform for scientists to present their latest research, exchange ideas, and discuss the challenges and opportunities of machine learning for Earth system modelling. Topics covered a broad range of areas, including machine-learning-based numerical weather prediction, high-resolution forecasting, climate models, Earth system components, observations, foundation models, and the evaluation of AI-based models.

Savvas Melidonis, Head of the HClimRep project, presented a poster entitled HClimRep, a foundation model for capturing atmosphere, ocean, and sea-ice interactions. The poster highlighted the project’s work on developing the first foundation model for climate science that simultaneously integrates atmospheric, oceanic, and sea-ice data and observations.

The HClimRep consortium also contributed an oral presentation on HClimRep-Ocean (OceanRep), delivered by Kacper Nowak, a PhD student at AWI.

Each time, the MLESM event reflects the growing interest in machine learning as a tool for weather and climate research, while also highlighting the importance of interdisciplinary collaboration between the Earth system science, mathematics, and computational science communities. For researchers from HClimRep, this year’s event provided another opportunity to contribute to these discussions, share their work, and exchange perspectives on the development of AI-based approaches for climate modelling.

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HClimRep at the 9th ENES HPC Workshop

Agnes Lohs — Mon, 15 Jun 2026 12:07:57 +0000

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 importance of future weather and climate data, the challenges of high-performance computing in a rapidly changing technological landscape, and the emerging role of artificial intelligence in Earth system modelling.

Organised by ESiWACE3, the ENES HPC Workshop is a key forum within the European climate and weather modelling community. This year’s programme focused on collaboration across modelling centres and HPC facilities, advances in performance and accelerator technologies, AI and machine learning applications, and the management and use of increasingly large climate datasets. As Earth system models continue to move towards higher resolutions and exascale computing, these discussions are becoming increasingly important for the future of climate research and operational forecasting.

HClimRep’s participation provided an opportunity to engage with experts at the forefront of climate and weather computing, exchange knowledge on emerging technologies, and strengthen connections with the wider European modelling community. Such engagement is essential for ensuring that HClimRep remains aligned with the latest developments in high-performance computing and data-intensive climate science, supporting the project’s mission to improve the accessibility, usability, and long-term value of high-resolution climate information.

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HClimRep annual in-person meeting 2026, Hamburg

Agnes Lohs — Wed, 25 Mar 2026 08:15:06 +0000

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 to assess current developments and define concrete decisions needed to guide the project through its next phase.

The first day focused on scientific and technical progress across core components of HClimRep. Updates covered advances in the stratospheric component led by KIT, progress in sub-seasonal and seasonal predictability by the FZJ group, the status of long-term rollout development presented by Hereon, and developments in the ocean component addressed by AWI members. Discussions also evaluated emerging competitors and clarified where the HClimRep AI–climate modelling approach provides distinctive advantages.

The second day shifted toward downstream applications, ongoing publications, and project infrastructure. These sessions aimed to ensure that technical developments translate efficiently into reproducible workflows and impactful scientific results. The meeting concluded with an open discussion on key challenges, future directions, and long-term ambitions.

The Hamburg meeting marked an important milestone in aligning scientific priorities, publications, and reinforcing collaboration as HClimRep moves toward its 2026-2027 goals.

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Internal Hackathon – AWI Bremerhaven

Agnes Lohs — Wed, 25 Mar 2026 08:03:20 +0000

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 was successful. In addition to the technical work, the team discussed the scientific agenda and publication strategy for the coming months, outlining the next steps in model development and planned outputs for the project.

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

Agnes Lohs — Mon, 16 Mar 2026 14:50:09 +0000

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 modeling and long-term Earth system understanding. The event focused on key challenges in AI climate science, including limited observational data, complex feedback processes, and the need for new machine-learning architectures capable of representing coupled climate dynamics.

During the workshop, Dr. Savvas Melidonis (Jülich Supercomputing Centre, Forschungszentrum Jülich) presented “HClimRep: A Foundation Model for Capturing the Atmosphere, Ocean, and Sea Ice Interactions.” He explained how the project aims to develop an AI foundation model that learns the long-term interactions between atmosphere, ocean, stratosphere, and sea ice, addressing limitations of conventional physics-based climate models such as computational cost, structural biases, and coarse resolution. Furthermore, he stated that, by combining deep learning with high-performance computing (HPC), HClimRep seeks to bridge the gap between AI-based weather prediction and AI-driven climate projection.

The workshop, organized within the Algorithmic Earth System Science and CESOC frameworks, emphasized interdisciplinary collaboration across machine learning, algorithm design, and Earth system science. HClimRep’s contribution highlighted the growing role of AI foundation models in climate research and their potential to provide new insights into the Earth system while supporting evidence-based climate adaptation and policy decisions.

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