Lecture: May 31 (Monday), 14:00 Prof. Dr. Gerrit Lohmann

Tutorial: May 31 (Monday), ca. 15:30 Justus Contzen, Lars Ackermann

Time required for Sheet 6: 8 h

 
 

before May 31

Scenario of climate change as shown in the cinema movie The Day After Tomorrow: trailer 1, trailer 2, trailer 3, full movie .

Read Chapters 11 in Marchal and Plumb

Reading/learning might take 70 min.

 

 
 

May 31, 14:00: Lecture 6 (online G. Lohmann, 45 min)

Scenarios: classroom

 

Download Boxmodel (Online Version Jupyter Notebook)

link

 

 

Download Boxmodel (old version using shiny)

link

password: DynamicsII2020

  1. cd into the folder where the boxmodel is located (more precisely, the location where the file ui.R is located) in my case:

setwd(‘/Users/glohmann/Vorlesungen/Dynamics/DynII_2021/RBox’)

  1. install.packages(“shiny”)

  2. library(shiny)

  3. runApp()

  4. a browser window should open that displays the boxmodel controls

  5. first click on the button Spin-Up to create a new spin up

  6. a new window opens

  7. click on Run SpinUp

  8. afterwards click on Apply, then Cancel

  9. define parameters for the model simulation

  10. now run the simulation by clicking on Start Simulation

 

 

May 31, ca. 15:30: Tutorial (online 45 min)

 

Exercise 4 explained (25 min)

 

Exercise 6 introduced, questions to the exercise (10 min)


 

After the lecture: Read the script about Ocean circulation (Chapter 6)

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

 

Read Chapter 11 in Marchal and Plumb

Reading/learning might take 40 min.

 

 

 

 

Homework 1: Solve Exercise 6

This might take 3 h.

 

Homework 2: Prepare for the next lecture

 


 

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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