Introduction to Data Assimilation

Speaker：

Quanling Deng 邓权灵 (YMSC)

Time：

Thursdays and Fridays, 10:40-12:15 from Oct. 16, 2025 to Jan. 9, 2026, except for Dec. 11 and Dec. 12, 2025

Venue：

C548, Shuangqing Complex Building A

Zoom Meeting ID: 4552601552 Passcode: YMSC

Description:Data assimilation is a powerful framework for combining observational data with mathematical models to improve predictions and understanding of complex systems. Widely used in geosciences and many areas of applied science, it provides essential tools for weather forecasting, sea ice, ocean, and climate modeling, as well as a growing range of industrial applications. This course offers an introduction to the fundamental ideas and practical techniques of data assimilation. We will cover key concepts such as state estimation and filtering techniques (Kalman filters, EAKF, ETKF, etc), and explain how these methods integrate theory, computation, and data. We will explore case studies drawn from atmospheric and oceanic sciences. If time permits, we will also discuss advanced topics, such as the Lagrangian–Eulerian Multiscale Data Assimilation (LEMDA) method and nonlinear filtering strategies such as the Yau–Yau filter.