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Rainfall data are usually gathered at daily timescales due to the availability of daily rain- gauges throughout the world. However, rainfall data at fine timescale are required for certain hydrologic modellings such as crop simulation modelling, erosion modelling etc. Limited availability of such data leads to the option of daily rainfall disaggregation. This book illustrates the use of a stochastic rainfall disaggregation model on a regional basis to disaggregate daily rainfall into any desired fine timescale up to 6 minutes in the State of Queensland, Australia. The model should relieve the hydrologists from the tedious processes of fine timescale rainfall data collection and analyses. Environmental modellers especially those who focus on the rainfall induced erosions could also use this model as an add-in in their existing models.

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Parvez is currently completing his doctoral research in water quality in Queensland University of Technology. He holds a Bachelor of Civil Engineering (honours) and Master of Engineering degree in Hydrology. His research interest includes stochastic hydrology, catchment hydrology and storm water quality.

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