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A modular class of multisite monthly rainfall generators for water resource management and impact studies

Lookup NU author(s): Dr Francesco Serinaldi, Professor Chris Kilsby

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Abstract

This study introduces a class of stochastic multisite monthly rainfall generators devised for application in water resources management problems, such as the sensitivity analysis of droughts and extreme rainfall scenarios under external climatic and non climatic forcing mechanisms. The modelling framework relies on three elements: (1) a classical deseasonalisation scheme based on log-transformed observations, (2) the nonparametric bootstrap resampling approach and (3) parametric Generalized Additive Models for Location, Scale and Shape (GAMLSS). As the bootstrap and GAMLSS modules are alternative techniques for simulating each month, the free choice between them makes the structure of the model modular and flexible, so that it can be easily adapted to different climatic conditions, and can be customized based on the specific water resource problem. The model was set up and calibrated to simulate monthly rainfall from six locations in England and Wales to produce a suitable input for drought analysis. The results of the case study point out that the model can capture several characteristics of the rainfall series. In particular, it enables the simulation of low and high rainfall scenarios more extreme than those observed as well as the reproduction of the distribution of the annual accumulated rainfall, and of the relationship between the rainfall and circulation indices such as North Atlantic Oscillation (NAO) and Sea Surface Temperature (SST), thus making the framework well-suited for sensitivity analysis under alternative climate scenarios and additional forcing variables.


Publication metadata

Author(s): Serinaldi F, Kilsby CG

Publication type: Article

Publication status: Published

Journal: Journal of Hydrology

Year: 2012

Volume: 464-465

Pages: 528-540

Print publication date: 04/08/2012

ISSN (print): 0022-1694

Publisher: Elsevier BV

URL: http://dx.doi.org/10.1016/j.jhydrol.2012.07.043

DOI: 10.1016/j.jhydrol.2012.07.043


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