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 Prof Sonnewald’s lab.

The group focuses on several research areas:

Computational: trustworthy innovation

  1. Knowledge-guided & interpretable ML Building physics into models so results can be explained and verified
  2. Discovery from data Unsupervised methods (e.g. NEMI) that surface meaningful structure with principled validation
  3. Trustworthy prediction Uncertainty quantification and explainable AI (XAI) to make neural networks guides to discovery

Earth Science: Understanding for resilience

  1. Ocean & climate dynamics Circulation regimes, the Southern Ocean, monsoons, and ocean–atmosphere coupling
  2. Forecasting: Improve predictions on long range weather and climate
  3. Ecosystems & impacts Marine ecological provinces, fisheries, and biogeochemistry for resilient communities

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News

  • 25/09 - We have three new graduate students joining CCOG, exciting times! In Computer Science Kieran Ringel joins from Los Alamos National Lab, and Jake Tallman from independent consulting. In Applied Math, Lumina Kinsinger-Dang joins us from UC Santa Cruz. Welcome!
  • 25/08 - Dr. Sanah Suri joins the lab as a postdoc. Welcome!
  • 25/06 - Our work on supporting sustainable fisheries was awarded the UC Davis Grant for Advancing Sustainable Development Goals. Fabulous!
  • 24/10 - We’re thrilled to receive one of the NSF CAIG grants! Joining with UC Santa Cruz we will be looking into remote monitoring of ocean fronts and upper ocean heat content.
  • 24/03 - Prof. Sonnewald was interviewed by the Guardian for their front-page feature on Atmospheric Rivers. Read it here.
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