Print View

The Lorenz 1963 model derivationThu Jun 11, 2020 02:15 PM -  | 04:00 PM

Video lecture about the Lorenz model derivation and how it is an abstract climate model

Meeting recording (Vbrick). Box link: https://box.fu-berlin.de/s/48zNCTKcobFtwAR

Lecture notes (Derivation of the Lorenz 1963 model, Nikki Vercauteren)

Lecture notes by Jeroen Wouters (model derivation and chaotic dynamics)

Echo State Networks for prediction of chaotic systemsThu Jun 25, 2020 02:15 PM -  | 04:00 PM

Name of students: Mathis Hocke (group with Oscar, Pascal, Tarek)

Presentation: pdf

Press release: Improving atmospheric forecasts with machine learning

Corresponding reference: Arcomano, T., Szunyogh, I., Pathak, J., Wikner, A., Hunt, B. R., & Ott, E. (2020). A Machine Learning‐Based Global Atmospheric Forecast Model. Geophysical Research Letters, 47(9), 17–9. http://doi.org/10.1029/2020GL087776

Chaos 2017 Pathak.pdf
The_echo_state_approach_to_analysing_and_training_.pdf

Subgrid parameterisations.Thu Jul 09, 2020 02:15 PM -  | 04:00 PM

Name of students: Gregor Pittke (group with Thereza Kizler)

Presentation: pdf

Reference:

J. Adv. Model. Earth Syst. 2019 Bolton.pdf

Convection parameterisationThu Jul 16, 2020 02:15 PM -  | 04:00 PM

Name of students: Thereza Kizler (team with Gregor Pittke)

presentation: pdf

Reference: 

Geophys. Res. Lett. 2018 Gentine.pdf