Third-Party Funded Research (Projects)

Affiliated Research Projcects

CESOC’s research is shaped by a wide range of third-party funded projects, from national initiatives to large European collaborations. These projects embody CESOC’s interdisciplinary approach, connecting Earth system science, computer science, and high-performance computing.

Highlights include:

  • Collaborative Research Centres (DFG):
    • CRC 1502 DETECT – Regional Climate Change: Disentangling the Role of Land Use and Water Management (since 2022), led from the University of Bonn with contributions from CESOC partners.
  • Profilbildung ProjectHESCOR – Human & Earth System Coupled Research (2023–2027), integrating Earth sciences, human system science, archaeology, and machine learning.
  • AlgoForGe Research Unit (DFG): advancing algorithmic data analysis for geodesy, linked closely to CESOC.
  • BMFTR & Helmholtz ProjectsWarmWorldHClimRep, and RAINA, pioneering machine learning for weather and climate forecasting, in close collaboration with ECMWF and DWD.
  • EU Horizon Project WeatherGenerator: developing AI foundation models for weather and climate applications.

CESOC also contributes to initiatives of ECMWF, DWD, and the IDEA S4S network, and is actively preparing new collaborative proposals.

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(AC)3: CRC/TR 172 – Arctic Amplification

Funded by DFG

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CRC1211 Earth – Evolution at the dry limit

Funded by DFG

Logo DETECT: CRC1502 – Regional Climate Change: Disentangling the Role of Land Use and Water Management

DETECT: CRC1502 – Regional Climate Change: Disentangling the Role of Land Use and Water Management

Funded by DFG

EDDY: Identification, tracking and classification of ocean eddies in along-track radar altimetry data using deep learning

EDDY: Identification, tracking and classification of ocean eddies in along-track radar altimetry data using deep learning

Funded by DFG

Ended
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EXO-OCEANS: Searching and Characterizing Extraterrestrial Subsurface Oceans

funded by EU, ERC

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EXPATS (EXploiting sPAtiotemporal cloud patterns to advance severe Storms process understanding and detection)

funded by DWD

Logo EXTREME: An Exascale aware and Un-crashable Space-Time-Adaptive Discontinuous Spectral Element Solver for Non-Linear Conservation Laws

EXTREME: An Exascale aware and Un-crashable Space-Time-Adaptive Discontinuous Spectral Element Solver for Non-Linear Conservation Laws

funded by EU, ERC

Ended
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Ki:STE: AI Strategy for Earth System Data Project

funded by BMU, ZUG 

Ended
Logo: PROM: Polarimetric Radar Observations meet Atmospheric Modelling

PROM: Polarimetric Radar Observations meet Atmospheric Modelling

Logo RealPEP: Near-Realtime Quantitative Precipitation Estimation and Prediction

RealPEP: Near-Realtime Quantitative Precipitation Estimation and Prediction

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HESCOR – Human & Earth System Coupled Research

Funded by Ministry for Culture & Science, NRW

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AlgoForGe: Algorithmische Datenanalyse für die Geodäsie

Funded by Ministry for Culture & Science, NRW

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WarmWorld

 Funded by: BMFTR

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HClimRep

Funded by: Helmholtz

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RAINA

funded by: BMFTR

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WeatherGenerator

Funded by: EU

More projects will be added continuously..