ATMO545
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ATMO545 - Introduction to Data Assimilation
Course ID
036026
Course Description
Data assimilation (DA) involves combining information from observations and \"models\" of a particular physical system in order to best define and understand the evolving state of the system. It is currently applied across a wide range of Earth sciences, including weather forecasting, oceanography, atmospheric chemistry, hydrology, and climate studies. This course provides an introduction to the theory and applications of DA in atmospheric and related sciences. Topics include common DA methods like optimal interpolation, Kalman filtering and variational schemes within the context of estimation theory. The course is designed as a hands-on approach to key DA concepts that are currently used today.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed), GIDP - GC (Global Change), GIDP - REM (Remote Sensing & Spatial An.), IIA - GEOS (GEOS - Geosciences)
Course Requisites
Linear algebra, elementary statistics. Basic programming skills (C, Fortran, Matlab) is needed or consent of instructor.
Cross Listed Courses
May be convened with
Component
Lecture
Optional Component
No