Multisite spatial-temporal rainfall analysis in the Onkaparinga catchment using a generalised linear model

Rashid, M. M. and Beecham, S. and Chowdhury, R. K. (2012) Multisite spatial-temporal rainfall analysis in the Onkaparinga catchment using a generalised linear model. In: 9th International Workshop on Precipitation in Urban Areas: Urban Challenges in Rainfall Analysis: UrbanRain12 , 6-9 Dec 2012, St. Moritz, Switzerland.


Multisite daily rainfall is an important input in rainfall-runoff modelling. Spatial-temporal rainfall analysis is difficult due to its high variability and non-normal distribution characteristics. Moreover due to these characteristics of rainfall, catchment based daily rainfall analysis using stochastic methods are often used. In this study, we have applied a Generalized Linear Model (GLM) for multisite daily rainfall analysis using occurrence and amount models. Nine rainfall stations were selected within the Onkaparinga catchment in South Australia. NCEP/NCAR reanalysis data and SOI and DMI climate index data were used in addition to observed daily rainfall. The model was fitted and simulated for the calibration period (1991-2010) and validated for the period 1981-1990. Several summary statistics were used to check the performance of the model. The 2.5th and 97.5th percentiles of simulated rainfall were plotted against the statistics of observed rainfall. The GLM was able to adequately simulate daily rainfall for use in water resources studies. Moreover, it was concluded that the GLM can be used for downscaling of General Circulation Model (GCM) rainfall projections for the Onkaparinga catchment in South Australia.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2018 ETH Zurich
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 27 Jun 2018 03:15
Last Modified: 27 Jun 2018 03:15
Uncontrolled Keywords: generalized linear model, NCEP/NCAR reanalysis data, multisite, rainfall modelling
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090509 Water Resources Engineering
Socio-Economic Objective: D Environment > 96 Environment > 9603 Climate and Climate Change > 960304 Climate Variability (excl. Social Impacts)
Identification Number or DOI: doi:10.13140/2.1.1954.6561

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