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Relating precipitation to climatic factors at Central Queensland, Australia : a data engineering approach

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conference contribution
posted on 06.12.2017, 00:00 by Tasadduq ImamTasadduq Imam, Kevin TickleKevin Tickle
This paper contributes a data engineering framework to relate precipitation at Central Queensland in Australia to other climatic factors and ENSO. Advanced data engineering concepts including computational intelligence techniques are used to model precipitation characteristics for areas within the region. A seasonal stratification process based on standardized precipitation index, predictor selection based on mutual information, a multiple imputation technique and a computational intelligence based approach to examine the influence of ENSO have been demonstrated. An ensemble based regression approach has also been highlighted to characterize the relation between predictors and precipitation. Results indicate that a data engineering framework is effective in unraveling the inter-relationships between different factors and precipitation, and characteristics of the relation vary spatially. The outcomes are expected to aid design of regional forecasting model and relevant statistical downscaling.


Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)


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Number of Pages


Start Date



Québec, Canada


INRS (Institut national de la recherche scientifique)

Place of Publication

Québec, Canada

Peer Reviewed


Open Access


External Author Affiliations

Centre for Intelligent and Networked Systems (CINS); Faculty of Arts, Business, Informatics and Education; Institute for Resource Industries and Sustainability (IRIS);

Era Eligible


Name of Conference

International Symposium on Stochastic Hydraulics;International Conference on Water Resources and Environment Research

Parent Title

Water 2010 Symposium (Hydrology, Hydraulics and Water Resources in an Uncertain Environment: 10th International Symposium on Stochastic Hydraulics and 5th International Conference on Water Resources and Environment Research), Québec, Canada, 5th-7th July, 2010.