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- Title
A neurocomputing approach to predict monsoon rainfall in monthly scale using SST anomaly as a predictor.
- Authors
Acharya, Nachiketa; Chattopadhyay, Surajit; Kulkarni, Makarand; Mohanty, Uma
- Abstract
A relationship between summer monsoon rainfall and sea surface temperature anomalies was investigated with the aim of predicting the monthly scale rainfall during the summer monsoon period over a section (80°-90°E, 14°-24°N) of eastern India that depends heavily upon the rainfall during the summer monsoon months for its agricultural practices. The association between area-averaged rainfall of June over the study zone and global sea surface temperature (SST) anomalies for the period 1982-2008 was examined and the variability of rainfall in monthly scale was calculated. With a view to significant variability in the rainfall in the monthly scale, it was decided to implement the artificial neural network (ANN) for forecasting the monthly scale rainfall using the SST anomalies as a predictor. Finally, the potential of ANN in this prediction has been assessed.
- Subjects
MONSOONS; RAINFALL; OCEAN surface topography; MARINE ecology; ARTIFICIAL neural networks
- Publication
Acta Geophysica, 2012, Vol 60, Issue 1, p260
- ISSN
1895-6572
- Publication type
Article
- DOI
10.2478/s11600-011-0044-y