Journal article
Representing low-frequency variability in continuous rainfall simulations: A hierarchical random Bartlett Lewis continuous rainfall generation model
C Wasko, A Pui, A Sharma, R Mehrotra, E Jeremiah
Water Resources Research | AMER GEOPHYSICAL UNION | Published : 2015
DOI: 10.1002/2015WR017469
Abstract
Low-frequency variability, in the form of the El Niño-Southern Oscillation, plays a key role in shaping local weather systems. However, current continuous stochastic rainfall models do not account for this variability in their simulations. Here a modified Random Pulse Bartlett Lewis stochastic generation model is presented for continuous rainfall simulation exhibiting low-frequency variability. Termed the Hierarchical Random Bartlett Lewis Model (HRBLM), the model features a hierarchical structure to represent a range of rainfall characteristics associated with the El Niño-Southern Oscillation with parameters conditioned to vary as functions of relevant climatic states. Long observational re..
View full abstractGrants
Funding Acknowledgements
This study was financially supported by the Australian Research Council with additional support from Willis Research Network. The rainfall data used were made available by the Australian Bureau of Meteorology and are available from http://www.bom.gov.au/climate/data/stations/. The authors would like to thank Chris Onof and the anonymous reviewers whose comments improved the manuscript.