MOMFIT: Moment-based calibration of point process models for single-site rainfall sequences

This software is designed to fit stochastic single-site rainfall models to data using a method of moments. Specifically, given a set of empirical properties of some observed rainfall time series, models can be calibrated so as to reproduce these properties as closely as possible. This calibration is often a challenging numerical optimisation problem; this software provides a reaosnably stable solution, building on the optimisation routines available within the R environment (see below). It also provides assessments of parameter uncertainty in the fitted models. For an overview of the types of models for which the software is designed, along with the methods that are usually used to calibrate them, see the following references:

The software is written to run in the R environment (version 1.7.0), which is freely available from Installations are available for most operating systems, and most R code is completely portable between systems. We have used the software on Windows and Linux platforms. The routines run substantially faster (a factor of 2 or 3) under Linux, but otherwise we have not found any differences between platforms.

The package consists of a zipped archive containing the R code, a a user guide and some relevant technical reports in PDF format, a specimen data set and some example scripts illustrating the use of the software. If using a Unix machine, I suggest you download the file to an empty directory, saved under the name, and then type

	unzip momfit
to extract the files from the archive. Windows users can unzip the file directly into an empty directory, for example by double-clinking in Windows Explorer. Once you have unzipped the archive, start with the manual (file manual.pdf, although if you needed to be told that then probably you shouldn't be attempting this ...).

To download the software, click on the screenshot:


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Page last updated 23 March, 2012