Multisite spatial-temporal rainfall analysis in the Onkaparinga catchment using a generalised linear model
Paper
Paper/Presentation Title | Multisite spatial-temporal rainfall analysis in the |
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Presentation Type | Paper |
Authors | Rashid, M. M. (Author), Beecham, S. (Author) and Chowdhury, R. K. (Author) |
Journal or Proceedings Title | 9th International Workshop on Precipitation in Urban Areas |
Number of Pages | 5 |
Year | 2012 |
Place of Publication | Switzerland |
Digital Object Identifier (DOI) | https://doi.org/10.13140/2.1.1954.6561 |
Web Address (URL) of Paper | http://www.urbanrain.ethz.ch/past-events.html |
Conference/Event | 9th International Workshop on Precipitation in Urban Areas: Urban Challenges in Rainfall Analysis: UrbanRain12 |
Event Details | 9th International Workshop on Precipitation in Urban Areas:
Urban Challenges in Rainfall Analysis: UrbanRain12 Event Date 06 to end of 09 Dec 2012 Event Location St. Moritz, Switzerland |
Abstract | 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. |
Keywords | generalized linear model, NCEP/NCAR reanalysis data, multisite, rainfall modelling |
ANZSRC Field of Research 2020 | 400513. Water resources engineering |
Public Notes | © 2018 ETH Zurich |
Byline Affiliations | University of South Australia |
United Arab Emirates University, United Arab Emirates | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4v98/multisite-spatial-temporal-rainfall-analysis-in-the-onkaparinga-catchment-using-a-generalised-linear-model
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