Humans – through decades of land-use change
and intensified water use and management –
have caused persistent modifications in the coupled water and energy cycles of land and atmosphere.
Water logging is a serious threat to crop production. It causes oxygen deficiency in the root zone due to saturation of the soil pore system with water and consequently total yield failure depending on timing and duration of the water logging event. With changing...
On Thursday, June 26, 2025 16.15 - 17.30, Birdsall-Dreiss and LaMoreaux Lecture by Prof. Bayani Cardenas will be held at the Lecture Hall XVI, Nußallee 17, Bonn. The topic is Hydrobiogeochemistry of terrestrial-aquatic interfaces from pore to continental scales. M....
On Tuesday, May 13, 2025, CRC DETECT hosted the 1st African-European Workshop on Land Surface and Climate Change at the University of Bonn. The workshop brought together ten cooperation partners from six African countries (Benin, Burkina Faso, Cameroon, Ethiopia,...
CRC Lecture Series | DETECT Land & Climate Seminar | External Events | CRC-1502 Events
Looking for past events? You can view all events in the archive.
Fall School of the Competence Centre High-Performance Scientific Computing in Terrestrial Systems (HPSC TerrSys) Registration is open now and registration deadline is 17 August 2025.
This year's Fall School of the Competence Centre High-Performance Scientific Computing in Terrestrial Systems (HPSC TerrSys) on the topic of Terrestrial Modelling and High-Performance Scientific Computing will take place from 8 to 12 September 2025 at the Forschungszentrum Jülich. The course is aimed in particular at Master's and PhD students as well as interested postdocs.
The aim of this application-oriented course is to provide the theoretical and technical background of using the stand-alone land surface model eCLM in HPC environments, as well as the use of coupled subsurface, land surface and atmospheric models in the framework of the new Terrestrial Systems Modeling Platform v2 (TSMPv2, consisting of the atmospheric model ICON, the land surface model eCLM and the subsurface model ParFlow).
The course will also have a focus on data science aspects like management of (large) datasets and data assimilation. We will have three external invited speakers with a focus on land surface modelling as well as speakers from the Research Centre Julich which address high performance computing and data science aspects.
The course is supported by the Geoverbund ABC/J and the Collaborative Research Centre CRC1502 'DETECT'.
Registration is possible under this link until 17 August:
www.hpsc-terrsys-fallschool.org
The Center for Earth System Observation and Computational analysis (CESOC)
… is a research partnership of the Universities Bonn and Cologne as well as the Forschungszentrum Jülich and closely cooperates with the European Centre for Medium-Range Weather Forecasts (ECMWF).
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Upcoming activities and events organized by CESOC:
August 25-27, 2025: Third workshop on ‘Machine Learning for the Earth System Modelling’ (formally Large-Scale Deep Learning for the Earth System) that will take place again in Bonn, Germany, and online.
The workshop will discuss the latest developments on large-scale machine learning for Earth system modelling and will cover the following topics:
Registration and abstract submission will open in April 2025. For further details and updates, please visit: https://cesoc.net/third-workshop-on-machine-learning-for-the-earth-system/
August 27-29,2025: Hackathon on Machine Learning for the Earth System. Following the workshop on ML this hackathon is designed as a hands-on event for PhD students and early-career researchers passionate about applying ML to weather and climate research!
Why join? Gain insights from inspiring expert talks, tackle hands-on coding challenges, connect with leading researchers through mentorship and networking, and compete for exciting prizes. With two tracks—Beginner & Advanced—there’s a place for every skill level!
For more information about the Hackathon, please visit: https://cesoc.net/hackathon-on-machine-learning-for-the-earth-system/ - Apply from March 17th!