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

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Relating precipitation to climatic factors at Central Queensland, Australia : a data engineering approach
นักวิจัย : Imam, Tasadduq. , Tickle, Kevin.
คำค้น : Central Queensland University. , Precipitation (Meteorology) , Applied research. , 899899 Environmentally Sustainable Information and Communication Services not elsewhere classified. , 960303 Climate Change Models. , 970104 Expanding Knowledge in the Earth Sciences. , 080109 Pattern Recognition and Data Mining. , 040105 Climatology (excl. Climate Change Processes). , 080401 Coding and Information Theory. , Precipitation forecasting. , Climatic changes , Data Engineering -- Precipitation -- ENSO -- Regression -- Regional climate modelling
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2553
อ้างอิง : http://hdl.cqu.edu.au/10018/57561
ที่มา : Imam, T & Tickle, K 2010, 'Relating precipitation to climatic factors at Central Queensland, Australia: a data engineering approach' paper presented to the 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.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : 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. Québec, Canada. : INRS (Institut national de la recherche scientifique), 2010. p. 1-8 8 pages Refereed , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

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.

บรรณานุกรม :
Imam, Tasadduq. , Tickle, Kevin. . (2553). Relating precipitation to climatic factors at Central Queensland, Australia : a data engineering approach.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Imam, Tasadduq. , Tickle, Kevin. . 2553. "Relating precipitation to climatic factors at Central Queensland, Australia : a data engineering approach".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Imam, Tasadduq. , Tickle, Kevin. . "Relating precipitation to climatic factors at Central Queensland, Australia : a data engineering approach."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2553. Print.
Imam, Tasadduq. , Tickle, Kevin. . Relating precipitation to climatic factors at Central Queensland, Australia : a data engineering approach. กรุงเทพมหานคร : Central Queensland University, Australia; 2553.