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CRC PUBLICATIONS |
Stochastic Generation of Monthly Rainfall Data
Sri Srikanthan, Tom McMahon and Ashish Sharma
Publication Type:
Technical Report
This is a publication of the current CRC for Catchment Hydrology
CRC Program:
Climate Variability
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Publication Keywords:
Precipitation (Atmospheric)
Rain
Modelling (Hydrological)
Modelling (Stochastic)
Nonparametric Model
Method of Fragments
Calibration
Stream Flow
Water Data
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Abstract / Summary:
One of the goals of the Climate Variability Program in the CRC for Catchment Hydrology is to provide water managers and researchers with computer programs to generate stochastic climate data. The stochastic data are needed at time scales from less than one hour to a year and for point sites to large catchments like the Murrumbidgee and Fitzroy.
The first report in this series, 'Stochastic Generation of Climate Data: A Review' (CRC Technical Report 00/16), reviewed methods of stochastic generation of climate data and recommended the testing of a number of techniques. The second report, Stochastic Generation of Annual Rainfall Data' (CRC Technical Report 02/6), compared the first order autoregressive and hidden state Markov models for the generation of annual rainfall data. This third report, 'Stochastic Generation of Monthly rainfall Data', tests the method of fragments and a nonparametric model for the generation of monthly rainfall data at ten sites across Australia.
Dr Francis Chiew
Program Leader
Climate Variability Program
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Centre Office:
CRC for Catchment Hydrology
Dept of Civil Engineering
Building 60
Monash University Vic 3800
Tel: +61 3 9905 2704
Fax: +61 3 9905 5033
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