New EU project TerraDT: A digital twin of the Earth
On January 1, 2025, the EU-funded project TerraDT started, which aims to develop a high-resolution digital twin (DT) for components of the Earth system that are missing in the previous DT models: the cryosphere (frozen regions), the vegetation of the land surface and atmospheric aerosols are now also to be incorporated. The project is coordinated by the Finnish IT Center for Science (CSC) and brings together 18 leading European institutions and organizations, among them DKRZ.
News from the User Group Committee and the WLA
Both, the DKRZ User Group and the Scientific Steering Committee (WLA) elected new spokespersons and leaders during their meetings in November 2024.
SC`24: The HPC world gathers in Atlanta!
At the Supercomputing Conference 2024 (SC‘24), the world's most important HPC event, approximately 10,000 attendees gathered in Atlanta, USA, from November 17 to 22.
Nature publication: AI supports research about global ocean temperatures
A new study in the journal Nature shows that the oceans in the early 20th century (1900-1930) were less cold than previously thought. The findings of this study are confirmed by an AI method developed at the DKRZ.
ESiWACE3 celebrates its General Assembly in Hamburg
On November, 12 and 13, 2024, the DKRZ hosted the ESiWACE3 general assembly. The meeting with over 40 participants - 34 of them on site - marked the halfway point of the third funding period of this European center of excellence.
AI in Climate Research: Detecting Climate Extremes
Climate extremes such as heat waves, heavy rainfall or droughts have far-reaching impacts on ecosystems, agriculture, water resources and also on human health. In order to understand recent climate extremes and to be able to assess the resulting climate risks, they must be examined in a historical context. How do these recent extremes compare to past events throughout the 20th Century, and what are the regional variations of the long term trends? To answer this question, data analysts of DKRZ have developed a method that can effectively reconstruct incomplete observation data on climate extremes by using methods of artificial intelligence (AI). The results of the study were published in the internationally renowned journal “Nature Communications” at the end of October 2024.
