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 ob-served 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.
Original language | English |
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Title of host publication | 9th International Workshop on Precipitation in Urban Areas |
Subtitle of host publication | Urban Challenges in Rainfall Analysis, UrbanRain 2012 |
Publisher | ETH Zurich |
Pages | 106-110 |
Number of pages | 5 |
ISBN (Electronic) | 9783906031217 |
Publication status | Published - 2017 |
Event | 9th International Workshop on Precipitation in Urban Areas: Urban Challenges in Rainfall Analysis, UrbanRain 2012 - St. Moritz, Switzerland Duration: Dec 6 2012 → Dec 9 2012 |
Other
Other | 9th International Workshop on Precipitation in Urban Areas: Urban Challenges in Rainfall Analysis, UrbanRain 2012 |
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Country/Territory | Switzerland |
City | St. Moritz |
Period | 12/6/12 → 12/9/12 |
Keywords
- Generalized Linear Model
- Multisite
- NCEP/NCAR reanalysis data
- Rainfall modelling
ASJC Scopus subject areas
- Environmental Engineering