Advanced Analytical Methods for Climate Research: Links page
Ris an excellent general-purpose statistical programming environment, which includes Generalized Linear Modelling capabilities as well as many other statistical functions and impressive graphics capabilities.
Rwas 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
Rscript 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:
FORTRANsoftware, 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).
The annual NW Pacific tropical storm numbers were provided by Jenni Collins of the Mullard Space Science Laboratory, University College London.
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.