Journal article

Comparison of two approaches for generation of daily rainfall data

R Srikanthan, TI Harrold, A Sharma, TA McMahon

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT | SPRINGER | Published : 2005

Abstract

There has been extensive research on the problem of stochastically generating daily rainfall sequences for use in water management applications. Srikanthan and McMahon [Australia Water Resources Council, Canberra, 1985] proposed a transition probability matrix (TPM) model that performs better for Australian rainfall than many alternative models, particularly where long records (say 100 years) are available. Boughton [Report 99/9, CRC for Catchment Hydrology, Monash University, Melbourne, 21pp, 1999] incorporated an empirical adjustment into the TPM model that allows the model to reproduce the observed variability in the annual rainfall. More recently, Harrold et al. [Water Resour Res 39(10, ..

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