Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/41502
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Type: Conference paper
Title: Development of non-homogeneous and hierarchical hidden markov models for modelling monthly rainfall and streamflow time series
Author: Whiting, J.
Lambert, M.
Metcalfe, A.
Kuczera, G.
Citation: Critical transitions in water and environmental resources management [electronic resource] : proceedings of the World Water and Environmental Resources Congress : June 27-July 1, 2004, Salt Lake City, UT / sponsored by Environmental and Water Resources Institute (EWRI) of the American Society of Civil Engineers ; Gerald Sehlke, Donald F. Hayes, and David K. Stevens (eds.): pp. 1-10
Publisher: American Society of Civil Engineers
Issue Date: 2004
ISBN: 0784407371
Conference Name: World Water and Environmental Resources Congress (2004 : Salt Lake City, Utah)
Statement of
Responsibility: 
Julian Whiting, Martin Lambert, Andrew Metcalfe, and George Kuczera
Abstract: Hidden Markov models (HMMs) offer a plausible representation of long-term hydroclimatic persistence in rainfall and streamflow observations. Persistent climate processes influence hydrological observations at various time scales. This paper develops the stochastic framework of two-state HMMs to better represent climate-rainfall interactions at both monthly and annual levels. Two new models, a hierarchical HMM and a non-homogeneous HMM are introduced, and fitted to monthly rainfall and streamflow observations from Australia. The value of these models to identify two-state persistence is compared to that of existing two-state HMMs.
DOI: 10.1061/40737(2004)212
Published version: http://dx.doi.org/10.1061/40737(2004)212
Appears in Collections:Aurora harvest
Civil and Environmental Engineering publications
Environment Institute publications

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