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

Lennox, Sarah and Dunn, Peter K. and Power, Brendan and De Voil, Peter (2004) A statistical distribution for modelling rainfall with promising application in crop science. In: New Directions for a Diverse Planet: 4th International Crop Science Congress, 26 Sep-1 Oct 2004, Brisbane, Australia.

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Abstract

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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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: Yes
Item Status: Live Archive
Additional Information: Note that M. Robertson is an co-Editor of this work. Copyright The Authors © 2004. Individual authors retain copyright in the papers for the 4th International Crop Science Congress. Reproduction and the making available of this material for personal or non-commercial purposes is authorised, on condition that:attribution is given to the copyright owner; no official connection is claimed; the material is made available without charge or at cost; and the material is not subject to inaccurate, misleading or derogatory treatment.
Depositing User: Dr Peter Dunn
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 11 Oct 2007 01:03
Last Modified: 02 Jul 2013 22:43
Uncontrolled Keywords: Tweedie distribution, Generalized Linear Model (GLM), precipitation, crop model simulation
Fields of Research (FOR2008): 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070302 Agronomy
URI: http://eprints.usq.edu.au/id/eprint/2344

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