Analysis of Climate and Weather Data
- Introduce techniques of statistical data analysis used in modern climate sciences,
- Empower students to conduct own analyses and to professionally interpret results in scientific literature,
- Excerzise the application and interpretation with real data in computer workshops.
8 two-hour lectures & 5 supervised computer workshops.
Course notes (slides) are provided as pdfs in the table below.
|22.09.16||1) Introduction, Basics & Exploratory Methods|
|29.09.16||Workshop: Introduction to R (Documents below)|
|06.10.16||2) Hypothesis Testing|
|13.10.16||3) Trend Analysis|
|10.10.16||Workshop: Basics & Trend Analysis (Documents below)|
|27.10.16||4) Extreme Value Analysis|
|03.11.16||Workshop: Extreme Value Analysis (Documents below)|
|17.11.16||5) Forecast Evaluation and Skill Scores (Part 1)|
|24.11.16||5) Forecast Evaluation and Skill Scores (Part 2)|
|01.12.16||Workshop: Forecast Evaluation and Skill Scores (Documents below)|
|08.12.16||6) Principal Component Analysis|
|15.12.16||6) Maximum Covariance Analysis|
|22.12.16||Workshop: PCA & MCA (Documents below)
|01.10.2015||Workshop 0: Introduction to R||demoR.R / R-Intro|
|15.10.2015||Workshop 1: Basics & Trend Analysis||ex1.R|
|29.10.2015||Workshop 2 : Extreme Value Analysis||ex2.R|
|26.11.2015||Workshop 3: Forecast Evaluation and Skill Scores||ex3.R|
|17.12.2015||Workshop 4 : PCA & MCA||ex4.R|
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 (01.10.2015). 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 software and datasets are needed for the workshops. They are provided as add-on packages (adding functionality to the R standard installation). To make your R installation ready for the workshops follow these steps:
- Install the packages fitdistrplus, maps, mapproj, mapdata from the R-website via the "Package Installer" command in R. These are contributed packages generally available from the R-website.
- Download the packages listed below, depending on the operating system you are using. These packages are available specifically for this course. Make sure you download the files without unzipping. Store them on your disk. Finally install the packages into R using the "Package Installer - Local Source Package" command in your R. The order of installation should be the same as they are listed below. Once the installation is complete you can delete the downloaded files on your disk.
Packages for Linux and Mac
Packages for Windows
- Wilks D.S., 2011: Statistical Methods in the Atmospheric Sciences. 3rd edition, Academic Press Inc., 704 pp. (Comprehensive text book from basic concepts to advanced techniques.)
- Coles, S., 2001: An introduction to statistical modeling of extreme values. Springer, London. 208 pp. (Specialized text book on principles and application of extreme value analysis.)
- References to publications cited in the lecture notes.
Oral examination after the end of the semester (session examination, 30 minutes). 3 ECTS credits.