Seminar for computer science master students (IN2107).

Data assimilation is the process of fitting dynamical systems (physical models) to observational data. As such, these algorithms are a key component in numerical weather prediction systems, which are used, for example, at the ECMWF. We will understand the problem statement and evaluate several solution strategies. Every student will be assigned one particular data assimilation algorithm to implement on a toy model and present to the group.

After an initial meeting, the seminar will be held as a one week block seminar in the middle of the semester. We will choose time slots that don't conflict with other classes.

Seminar material and the schedule can be accessed here.

• Organizer: Thomas Frerix
• Email: DA-seminar@vision.in.tum.de

• Date: Friday, February 5, 2021
• Time: 1pm
• Location: Online, Zoom-Link and password are provided in the TUM Online description of this seminar; you need to be logged in to see this

• Date: Wednesday, April 14
• Time: 1pm - Zoom link was provided via email
• In this meeting, we will distribute topics.

• Registration is done via the TUM matching platform
• Attendance in the seminar sessions is mandatory
• Preference is given to students with a pertinent background in relevant fields of applied mathematics (Linear Algebra, Analysis, Numerical Optimization, Probability/Stats) and experience with scientific programming in Python (numpy, scipy).
• Important: When registering at the TUM matching platform, please also send an email to DA-seminar@vision.in.tum.de in which you write your full name, matriculation number and where you state and prove prior exposure to these topics, e.g., with a transcript of records, prior course projects etc..

• Dates: Wednesday/Thursday, May 19/20
• Time: 12.30 - 2pm

Final reports should be written in LaTeX. A template will be provided.