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A statistical distribution for modelling rainfall with promising application in crop science
Conference poster

A statistical distribution for modelling rainfall with promising application in crop science

S M Lennox, Peter K Dunn, B D Power and P Devoil
New directions for a diverse planet: Proceedings of the 4th International Crop Science Congress
International Crop Science Congress (4ICSC), 4th (Brisbane, Australia, 2004)
Regional Institute Ltd.
2004
url
http://www.cropscience.org.au/icsc2004/poster/2/6/1273_lennoxs.htmView
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Abstract

Crop and Pasture Production Tweedie distribution Generalized Linear Model (GLM) precipitation crop model simulation
The finding of an accurate and reliable rainfall model has been the point of much discussion in previous research and has promising input applications in areas such as crop growth, hydrological systems and simulation studies. In the past it has been necessary to model rainfall as two separate processes: rainfall occurrence (whether the period is dry/wet) and rainfall amounts (rainfall amount observed during a wet period). As the rainfall process involves both discrete (rainfall = 0 mm) and continuous parts (rainfall >0 mm), two separate models have previously been fitted and the information from the two models combined in order to provide a summary of the rainfall model. The Tweedie distribution however is able to combine both aspects to provide one complete rainfall process. This results in a more accurate, reliable and practical model that can then be incorporated into other areas such as crop growth systems.

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