Lecturer in front of class looking at large screen

Lectures

Dive into a captivating collection of lectures tailed for ocean enthusiasts, researchers, and learners alike! Learn essential statistical methods for oceanographic research and gain a better understanding of uncertainty in ocean modeling. Whether you are a seasoned professional or just getting started, these lectures are designed to enrich your understanding of ocean uncertainty quantification.

Concepts and Philosophy of Uncertainty

Uncertainty: Concepts and Philosophy

Lecture on the Concepts and Philosophy of Uncertainty by Wendy Parker (Virginia Tech) during the OceanUQ Summer School on July 15, 2024.

Amy Braverman title slide

A Short Primer on UQ

Lecture on a Short Primer on UQ by Amy Braverman (NASA Jet Propulsion Laboratory) during the OceanUQ Summer School on July 15, 2024.

Statistics for UQ and Time Series Lecture

Statistics for UQ and Time Series

Lecture on Statistics for UQ and Time Series by Adam Sykulski (Imperial College London) during the OceanUQ Summer School on July 16, 2024.

Deriving Uncertainties for the Global Drifter Program Lecture

Deriving Uncertainties for the Global Drifter Program Hourly Product — Case Studies

Lecture on Deriving Uncertainties for the Global Drifter Program: Case Studies by Shane Elipot (University of Miami) during the OceanUQ Summer School on July 16, 2024.

Gaussian Processes for Spatio-Temporal Mapping of Oceanographic Observations

GP for Spatio-Temporal Mapping of Oceanographic Observations

Lecture on Spatio-Temporal Statistics for Mapping Oceanographic Observations by Mikael Kuusela (Carnegie Mellon University) during the OceanUQ Summer School on July 17, 2024.

MapEval4OceanHeat picture

MapEval4OceanHeat: An Objective Assessment of Mapping Methods Used to Estimate Ocean Heat Content Change

Lecture on MapEval4OceanHeat project by Donata Giglio (University of Colorado) during the OceanUQ Summer School on July 17, 2024.

Sarah Williamson Lecture

A Brief Introduction to Data Assimilation

Lecture on data assimilation by Sarah Williamson (The University of Texas at Austin) during the OceanUQ Summer School on July 18, 2024.

ML for DA and Model Error Representation

ML for DA and Model Error Representation

Lecture on machine learning for data assimilation and model error representation by Aneesh Subramanian (University of Colorado) during the OceanUQ Summer School on July 18, 2024.