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See our projects

  • All
  • (AC)3 (TR 172)
  • CRC1211
  • DETECT
  • EDDY
  • EXO-OCEANS
  • EXPATS
  • EXTREME
  • KI:STE
  • PROM
  • RealPEP
  • SOCLES
(AC)3: CRC/TR 172 – Arctic Amplification: Climate relevant atmospheric and surface processes and feedback mechanisms

(AC)3: CRC/TR 172 – Arctic Amplification: Climate relevant atmospheric and surface processes and feedback mechanisms

CRC1211: Earth – Evolution at the Dry Limit

CRC1211: Earth – Evolution at the Dry Limit

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

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

EXO-OCEANS: Searching and Characterizing Extraterrestrial Subsurface Oceans

EXO-OCEANS: Searching and Characterizing Extraterrestrial Subsurface Oceans

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

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

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

Ki:STE: AI Strategy for Earth System Data Project

Ki:STE: AI Strategy for Earth System Data Project

PROM: Polarimetric Radar Observations meet Atmospheric Modelling

PROM: Polarimetric Radar Observations meet Atmospheric Modelling

RealPEP: Near-Realtime Quantitative Precipitation Estimation and Prediction

RealPEP: Near-Realtime Quantitative Precipitation Estimation and Prediction

SOCLES: Stereo Observations of Clouds for LES Validation and Sub-scale Cloud Parameterizations

SOCLES: Stereo Observations of Clouds for LES Validation and Sub-scale Cloud Parameterizations

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