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
Data mining: Pioneer methods fit for purpose to uncover fundamental insight
Sparse data inference: Leverage complicated and messy data
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
Fundamental insight: Elucidate ocean and climate dynamics
Forecasting: Improve predictions on long range weather and climate
Resilience: Study impacts on physical and biogeochemical ocean and climate
Learn more
News
24/03 - Prof. Sonnewald was interviewed by the Guardian for their front-page feature on Atmospheric Rivers. Read it “here”.
24/03 - Happy Women’s Day! Prof. Sonnewald is featured in a Women’s Day UC Davis CoE news post.
24/02 - The lab heads to the Ocean Sciences Meeting! We’re excited both Yvonne and Will have been given talks and Prof. Sonnewald is convening a session as well as giving a talk.
24/02 - Our new paper on the safe uses of NNs in climate contexts is out now! Title: The Importance of Architecture Choice in Deep Learning for Climate Applications. Read it “here”.
24/01 - The US Dynamics Days conference invited Prof. Sonnewald to give a keynote and we are excited for Simon Dräger to present his first poster with CCOG!
24/03 - Prof. Sonnewald was interviewed by the Guardian for their front-page feature on Atmospheric Rivers. Read it “here”.
24/03 - Happy Women’s Day! Prof. Sonnewald is featured in a Women’s Day UC Davis CoE news post.
24/02 - The lab heads to the Ocean Sciences Meeting! We’re excited both Yvonne and Will have been given talks and Prof. Sonnewald is convening a session as well as giving a talk.
24/02 - Our new paper on the safe uses of NNs in climate contexts is out now! Title: The Importance of Architecture Choice in Deep Learning for Climate Applications. Read it “here”.
24/01 - The US Dynamics Days conference invited Prof. Sonnewald to give a keynote and we are excited for Simon Dräger to present his first poster with CCOG!
23/12 - Our session at the American Geosciences Union is around the corner and we are looking forward to an excellent round of talks. Prof. Sonnewald and Will Yik are both presenting.
23/12 - Prof. Sonnewald was at UC Louvain as a visiting Professor working with a team on uncovering fundamental regimes in Antarctic sea-ice
23/11 - Prof. Sonnewald is honored to recieve a certificate of recognition from the California State Assembly.
23/10 - Our new paper, led by Will Yik is out now! Title: Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning. Read it “here”.
23/10 - Prof. Sonnewald is voted to join the Applied Math Graduate Group!
23/10 - Worried that AI will ruin science? Kaiser et al. is out on ArXiv describing a way to avert the ‘oracular crisis’ in AI and a roadmap to achieve machine theorization.
23/09 - New article featuring Prof. Sonnewald on the UC Davis CS department by talented Jessica Heath.
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).
23/07 - Will Yik attended and spoke at the Hollings Symposium in Washington DC, right after giving a talk at NOAA-GFDL!
23/07 - We recieved $510k from NOAA to study and improve long range forecasts of sea level! I’ll be looking for a postdoctoral scholar/research scientist to start in 2024.
23/07 - Prof. Sonnewald joins the UC Davis computer science department.
23/05 - Prof. Sonnewald speaks in the AI4Good talk series.
23/05 - Our paper on the Southern Ocean supergyre was published in Nature Communications Earth & Environment.
23/03 - Prof. Sonnewald is featured in a GFDL article on how machine learning can advance climate models.
23/01 - Our review paper is featured in the WMO’s concept note “Data Handling and the Application of Artificial Intelligence in Environmental Modelling”
