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Computational Earth Sciences Group

The Computational Earth Sciences Group (CESG) improves process understanding of the global Earth system by developing and applying models, machine learning, and computational tools at scale; integrating observational data; and quantifying Earth system predictability and uncertainty associated with interactions between water, energy, biogeochemical cycles, and aerosols. Specifically, CESG:

  • Advances predictive understanding and simulation of atmospheric, terrestrial, cryospheric, and marine coupled systems through strategic collaborations
  • Quantifies interactions and feedbacks within and between the Earth system and terrestrial, marine, and subsurface biogeochemical cycles
  • Develops methods and tools for quantitative assessment and benchmarking of coupled, multiscale Earth system models at global and regional scales
  • Provides metrics for stakeholders through projects that connect to integrated and vulnerability assessment and adaptation projects

Contact

Distinguished Computational Earth System Scientist and Group Leader, Integrated Computational Earth Sciences
Photo of Forrest M. Hoffman