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

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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 recieve one of the NSF CAIG grants! Joing with UC Santa Cruz we will b looking into remote monitoring of ocean fronts and upper ocean heat content. Read more “here”!
  • 24/03 - Prof. Sonnewald was interviewed by the Guardian for their front-page feature on Atmospheric Rivers. Read it “here”.
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