Improving ocean and climate understanding and resilience

We target grand challenges with the aim of improving ocean and climate understanding and resilience. Solutions to the challenges humanity, and the world, face are inherently interdisciplinary, and so is our lab. Blending cutting-edge computational and Earth science tools and knowledge, we combine theory, observations, and numerics to pioneer methods and create insight.

The group focuses on several research areas:

Computational: Injecting knowledge to guide innovation

  1. Data mining: Pioneer methods fit for purpose to uncover fundamental insight
  2. Sparse data inference: Leverage complicated and messy data
  3. AI for science: UQ and XAI for utilizing machine learning as a universal function approximator

Earth Science: Objective advancement of our understanding of the Earth

  1. Fundamental insight: Elucidate ocean and climate dynamics
  2. Forecasting: Improve predictions on long range weather and climate
  3. Resilience: Study impacts on physical and biogeochemical ocean and climate

Learn more


  • 23/09 - New article featuring Prof. Sonnewald on the UC Davis CS department by talented Jessica Heath.
  • 23/08 - Documentation for NEMI is now available.
  • 23/08 - Will Yik was featured in the NOAA Oceanic and Atmospheric Research (OAR) newsletter! Read it here.
  • 23/08 - Yvonne Jenniges gave a well-recieved talk at the Institute for Disease Modeling (Bill and Melinda Gates Foundation) titled “Towards objective data mining: An example on 3D North Atlantic physical and biogeochemical data”! See project details here.
  • 23/08 - Prof. Sonnewald is elected a Faculty Scholar of the Center for the Advancement of Multicultural Perspectives on Science (CAMPOS).
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