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Institute for Atmospheric and Climate Science
 
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Analysis of Climate and Weather Data

acwd

Lecturer:

Christoph Frei
christoph.frei[at]meteoswiss.ch

Assisstant:
Mathias Hauser
IAC ETH Zurich
mathias.hauser[at]env.ethz.ch

Autumn Semester 2014
Time: Thursdays 15:15 - 17:00
Location: CHN E 42 NEW! NEW! NEW!

Course Objectives:

Credit Points & Examination:

Oral examination after the end of the semester (30 minutes). 3 ECTS credits.

Course Program and Notes:

8 two-hour lectures & 5 computer workshops.

Course notes (slides) are provided in electronic form on this site.

Date Theme
18.09.14 1) Introduction, Basics & Exploratory Methods
25.09.14 2) Hypothesis Testing
02.10.14 3) Trend Analysis
09.10.14 Workshop: Introduction to R
16.10.14 Workshop: Exploratory Methods & Trend Analysis
23.10.14 4) Extreme Value Analysis
30.10.14 Workshop: Extreme Value Analysis
06.11.14 5) Forecast Evaluation and Skill Scores (Part 1)
13.11.14 No Lecture
20.11.14 5) Forecast Evaluation and Skill Scores (Part 2)
27.11.14 Workshop: Forecast Evaluation and Skill Scores
04.12.14 6) Principal Component Analysis
11.12.14 6) Maximum Covariance Analysis
18.12.14 Workshop: PCA & MCA

Workshop Program and Files:

Computer workshops are based on the software "R environment for statistical computing and graphics" - short "R". R is platform independent and is freely available from the R-project web-site.

An introduction to R for beginners will be given in a specific Workshop (09.10.2014). A detailed introduction is available from the R-project web-site.

For the time of the workshops a “fleet” of Macintosh Laptop Computers (Mac OS) will be available. Students are however encouraged to bring along their own portable computers (if available). We recommend you install R on your computer before the first workshop. The installation of the add-on packages needed for the ACWD workshops (see below) will also be explained during the workshop on 09.10.2014.

Additional Packages:

Additional software and datasets are needed for the workshops. They are provided as additional packages (adding functionality to the R standard installation). To make your R installation ready for the workshops follow these steps:

1) Install the following packages from the R-website via the "Package Installer" command in R. These are contributed packages generally available from the R-website.

fitdistrplus, maps, mapproj, mapdata
2) Download the following packages (without unzipping) from the present website (using your browser). Store them on your disk, and finally install them into R using the "Package Installer - Local Source Package" command in your R. (The order of installation should be as the packs are listed.)

Packages for Linux and Mac:
trend_1.5.1, gevXgpd_1.4.2, geocors_1.2.8, plotmap_2.3.7, pcaXcca_1.4.1, ACWD_2.0.0


Packages for Windows:
trend_1.5.1, gevXgpd_1.4.2, geocors_1.2.8, plotmap_2.3.7, pcaXcca_1.4.1, ACWD_2.0.0

Exercise Sheets:

 
09.10.2014
Workshop 0: Introduction to R
demoR.R / R-Intro
16.10.2014
Workshop 1: Exploratory Methods & Trend Analysis
ex1.R
30.10.2014
Workshop 2 : Extreme Value Analysis
ex2.R
27.11.2014
Workshop 3: Forecast Evaluation and Skill Scores
ex3.R
18.12.2014
Workshop 4 : PCA & MCA
ex4.R

Additional material

References to publications cited in the lecture notes. The document will be updated in the course of the semester.

 

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© 2014 ETH Zurich | Imprint | Disclaimer | 21 November 2014
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