Lecture: April 12, 2021, 14:00 Prof. Dr. Gerrit Lohmann

Tutorial: Monday, 16-17; Justus Contzen, Lars Ackermann

Time required for Sheet 1: 8 h

 
 

before April 12:

Preparation: read 9 pages in the Chapter The equations of fluid motion (Marchal and Plumb, 2008).

This might take 45 min

 
 

April 12, 14:00: Lecture 1 (online G. Lohmann, 45 min)

After the lecture: Read the script about Basics of Fluid Dynamics (Chapter 1)

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

 

 

After the lecture: Watch the video Introduction to Atmospheric Dynamics (47 min)

This is based on Chapter 1 “The Equations of Atmospheric Dynamics”" from Holton and Hakim (2013) Chapter 01, Part 01: Forces in the Atmosphere

After the video: Read the script about Introduction to Atmospheric Dynamics (Chapter 1)

Reading/learning might take 60 min.

 
 

16:00: Tutorial (online 30 min)

Exercise 1 introduced, questions to the exercise (15 min)

Short introduction into R and RStudio (15 min)

 

Homework 1: Solve Exercise 1

This might take 2 h. Deadline April 19, 12:00 MESZ

 

Homework 2: Instal R and R Studio; Applications

For programming issues, we will start to work with examples. Please download the open source software R  (http://cran.r-project.org/),
for nice features, you may also download Rstudio: http://www.rstudio.com/ 

First applications: Simple manipulations; numbers and vectors.

Reading A (very) short introduction to R. This might take 1 h.

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 Chapter 1 and 10) (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
  • R Commands as discussed in the Tutorium


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