Ocean Uncertainty Quantification Summer School Agenda

Summer School Welcome and Introduction of Day 1

Introduction from Lecturers and Students

Lecture 1: Concepts and Philosophy

Lecture 2: A Short Primer on UQ

Lecture 3: Statistics for Oceanographers

Student Presentations on UQ Topics

Science Talk 1: Remote Sensing Observations

Recap from Day 1 and Introduction of Day 2

Lecture 4: Statistics for UQ and Time Series

Lecture 5: Deriving Uncertainties for the Global Drifter Program: Case Studies

Introduction to Afternoon Activity

Afternoon Activity 1: Global Drifter Program Coding Challenge

Science Talk 2: Bayesian Inference of Wind Drag Parameters using a Polynomial Chaos Surrogate and AXBT Data from Typhoon Fanapi

Recap from Day 2 and Introduction of Day 3

Lecture 6: Spatio-temporal Statistics for Mapping Oceanographic Observations

Lecture 7: MapEval4OceanHeat: An Objective Assessment of Mapping Methods Used to Estimate Ocean Heat Content Change

Introduction to Afternoon Activity

Afternoon Activity 2: Mapping Activity

Science Talk 3: Tropical Cyclone and Marine Prediction from the National Hurricane Center

Recap from Day 3 and Introduction of Day 4

Lecture 8: A Brief Introduction to Data Assimilation

Lecture 9: Machine Learning for Data Assimilation

Introduction to Afternoon Activity

Afternoon Activity 3: Building a Kalman Filter

Science Talk 4: Uncertainty Quantification in Subseasonal to Seasonal Variability and Prediction

Recap from Day 4 and Introduction of Day 5

Student Presentations

Student Presentations

Tour of SUSTAIN Facility

Students to Complete Feedback Survey