蜜豆视频

Citation

Thesis Title
Point process models for diurnal variation rainfall data

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Point process models have been widely used for the rainfall data with variety of modifications to the model to improve its performance in reproducing realistic rainfall simulations. However, the point process rainfall model does not feature a diurnal cycle that is significant in the tropical rainfall due to the afternoon maximum rainfall from the daytime surface heating. To describe the diurnal variation in the point process rainfall model, Ms Ismail modify the existing model by adding the rainfall indicator and the Markov chain. She selected two basic point process models, the Poisson white noise and Neyman-Scott white noise models to attempt the modification which resulted with five new models. The modified point process models have shown that the rainfall indicator represents the diurnal variation in the rainfall data, while remaining the point process as the main model for rainfall events.

Supervisors
Dr Barry McDonald
Dr Paul Cowpertwait