Suitability of a Transitional Probability Matrix model for catchment scale rainfall projections
Paper
Paper/Presentation Title | Suitability of a Transitional Probability Matrix model for catchment scale rainfall projections |
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Presentation Type | Paper |
Authors | Chowdhury, R. K. (Author) and Beecham, S. (Author) |
Journal or Proceedings Title | 9th International Workshop on Precipitation in Urban Areas: Urban Challenges in Rainfall Analysis: UrbanRain12 |
Number of Pages | 7 |
Year | 2012 |
Place of Publication | Switzerland |
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 | Projecting rainfall and water availability in a changing climate is a well researched area. Stochastic and dynamic downscaling techniques are both currently being used to develop rainfall projections from GCM model outputs. While most of these techniques are adequate for reproducing historical rainfall characteristics, a wide range of variability are generally observed in the generated rainfall projections. These lead to a wide range of variability and uncertainty in hydrological and water availability projections. In this paper, we describe how ensembles of daily rainfall data have been generated from 2035 to 2065 using a Transitional Probability Matrix (TPM) model (CRCCH, 2006) for two catchments located in the South Australian Mount Lofty region. These are the Aldgate Creek catchment (7.9 km2) and the Inverbrakie Creek catchment (8.4 km2). It was found that generated daily rainfalls reproduced well the historical rainfall characteristics for these two catchments. The generated replicates of rainfall from 2035 to 2065 were compared with the CSIRO Mk3 (A2 scenario) generated downscaled rainfall replicates. It was found that while the 50th percentile rainfall projections from both models were well matched, the variability of CSIRO Mk3 generated rainfalls was significantly high in comparision to the TPM model generated rainfalls. |
Keywords | Rainfall, transitional probability matrix, climate projection, uncertainty |
ANZSRC Field of Research 2020 | 400513. Water resources engineering |
Public Notes | © 2018 ETH Zurich |
Byline Affiliations | United Arab Emirates University, United Arab Emirates |
University of South Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4v9w/suitability-of-a-transitional-probability-matrix-model-for-catchment-scale-rainfall-projections
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