Advanced Analytical Methods for Climate Research: Links page

There is some freely available software which can be used to fit GLMs. This page contains links to sites providing this software, as well as links to data sources for Case Studies 1 and 4 (see the Case Studies page for details of these).

Contents of this page

Links to software sites.
Data sources.

Up to main workshop page.

Links to software sites

The package R is an excellent general-purpose statistical programming environment, which includes Generalized Linear Modelling capabilities as well as many other statistical functions and impressive graphics capabilities. R was used to perform the analysis for the first of the four case studies (the graphics on this page were all generated using R - in addition, the R script for the analysis of the case study is provided here).
R can be downloaded from a number of sites. The main R project page is located at Vienna, in Austria. Mirror sites closer to China are:
- ftp://ftp.u-aizu.ac.jp/pub/lang/R/CRAN.
- http://mirror.aarnet.edu.au/CRAN.
Dr Chandler's own FORTRAN software, which has been specially written for fitting GLMs to daily climate observations, is available from here. This software was originally written for the work to be discussed in Case Study 2. As a consequence, the only GLMs currently available within this software are those involving logistic regression and Gamma distributions. However, the software is continuously being updated, and it is hoped to add more features in the future. This package has been used to perform the windspeed analysis discussed in Case study 4 (the dataset and definition files for this case study are provided here, to introduce users to the features of the package).

To contents of this page.

Data sources

Case study 1

The Niño 3 values for this study were obtained from the IRI/LDEO Climate Data Library.

The annual NW Pacific tropical storm numbers were provided by Jenni Collins of the Mullard Space Science Laboratory, University College London.

Case study 4

The windspeed data used in this study were obtained from the Royal Netherlands Meteorological Institute (KNMI). The data are made available as part of the KNMI HYDRA project. This project webpage contains details of the quality control on the data, as well as additional data and general documentation on windspeed measurement in The Netherlands.

Please note: KNMI have made these data freely available. However, they must be acknowledged in any work that uses these data. See http://www.knmi.nl/samenw/hydra/register/index.html for details.

Many thanks are due to Job Verkaik and Ilja Smits of KNMI, for all their hard work in preparing this dataset and sharing it with the climate research community.

Up to main page (in English).

To Workshop announcement page (in Chinese).

Page last updated: 25th April 2001.