high performance computing


Thursday, May 30th, 2024 | 15:15 p.m.

KlimaCampus Colloquium: The technology deleting photobombs can do climate research? The chat bot writing poems can do climate analysis?

Bundesstrasse 53, room 022/23 ground floor

Climate change research today relies on climate information from the past. Historical climate records of temperature observations form global gridded datasets that are examined, for example, in IPCC reports. However, the datasets combining measurement records are sparse in the past. Even today, they contain missing values. We found that recently successful image inpainting technologies, such as those found on smartphones to get rid of unwanted objects or people in photos, are useful here. The derived AI networks are able to reconstruct artificially cropped versions in the grid space for any given month using the missing values observation mask. So herewith we have found with AI a technique that gives us data from the past that we never measured with instruments.  Other important datasets used in the Assessment Report 6 of the IPCC to study climate change, as well as advanced applications such as downscaling in atmosphere and ocean, a hybrid (AI&ESM) data assimilation approach within ICON, or precipitation in broken radar fields are shown in this presentation.

Climate research, including the study mentioned in the previous paragraph, often requires substantial technical expertise. This involves managing data standards, various file formats, software engineering, and high-performance computing. Translating scientific questions into code that can answer them demands significant effort. The question is, why? Data analysis platforms like Freva (Kadow et al. 2021, e.g., gems.dkrz.de) aim to enhance user convenience, yet programming expertise is still required. In this context, we introduce a large language model setup and chat bot interface based on GPT-4/ChatGPT, which enables climate analysis without technical obstacles, including language barriers. This approach is tailored to the needs of the broader climate community, which deals with massive data sets from kilometer-scale modeling and requires a processing environment utilizing modern technologies, but addressing society after all - such as those in the Earth Virtualization Engines (EVE eve4climate.org).

Kadow, C., Hall, D.M. & Ulbrich, U. Artificial intelligence reconstructs missing climate information. Nat. Geosci. 13, 408-413 (2020)


  • The Center for Earth System Research and Sustainability (CEN)
  • The Cluster of Excellence CLICCS



Philipp Neumann

Head of the container-based HPC center at HSU

Reinhard Budich

Strategic IT Partnerships

Sebastian Götschel

Oberingenieur/Senior Scientist, Chair Computational Mathematics
Coordinator, MLE@TUHH



Data Science in Hamburg | Helmholtz Graduate School for the Structure of Matter, DESY & UHH & TUHH & HSU & HAW & Hereon & HZI & MPSD & EuXFEL

Helmholtz graduate school educating the next generation of international and interdisciplinary data scientists


Max Planck Institute for the Structure and Dynamics of Matter

Scientific Support Unit researching the use of computation to accelerate and support research. 


Max-Planck-Insitut für Meteorologie

We are interested in the processes that establish Earth’s climate and that cause it to change.


The Helmut Schmidt University (HSU)

The Helmut Schmidt University/University of the Federal Armed Forces Hamburg is a place of science.

Universität Hamburg
Adeline Scharfenberg
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Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.