Lecture: June 21 (Monday), 14:00 Prof. Dr. Gerrit Lohmann

Tutorial: June 14 (Monday), ca. 15:30 Justus Contzen, Lars Ackermann

Time required for Sheet 9: 7 h

 
 

June 21, 14:00: Lecture 9 (online G. Lohmann, 45 min)

9th lecture Variability, SCM

Content in the script: Stochastic Climate Model (Chapters 8 and 9)

 

 

 

 

 

June 21, ca. 15:30: Tutorial (online 45 min)

Exercise 9 introduced, questions to the exercise (15 min)


Exercise 7 explained (20 min)


 

Homework: Solve Exercise 9

This might take 3 h.

 

Read Chapter 12 in Marchal and Plumb

Reading/learning might take 20 min. (pages 259 ff.)

Read the script about Stochastic Climate Model (Chapters 8 and 9)

Reading/learning (the sections with a star are voluntary). It might take 60 min.

 


 

Literature:

  • Holton, J.R., and Hakim, G. J., 2013: Introduction to Dynamical Meteorology, Academic Press, Oxford (UK). —Fifth edition / Gregory J. Hakim. ISBN 978-0-12-384866-6 pdf
  • Marchal, J., Plumb, R. A., 2008. Atmosphere, Ocean and Climate Dynamics: An Introductory Text. Academic Press, 344 pp; videos pdf
  • Lohmann, G., 2020: Climate Dynamics: Concepts, Scaling and Multiple Equilibria. Lecture Notes 2020, Bremen, Germany. (pdf of Chapters 4 and 5) (pdf of the full script)
  • R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/. An Introduction to R derived from an original set of notes describing the S and S-PLUS environments written in 1990–2 by Bill Venables and David M. Smith when at the University of Adelaide. Online document at https://cran.r-project.org/doc/manuals/r-release/R-intro.html.
  • Paul Torfs, P., and & Claudia Brauer, C., 2014: A (very) short introduction to R


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