International Journal of Scientific and Research Publications

IJSRP, Volume 7, Issue 5, May 2017 Edition [ISSN 2250-3153]


Time series prediction of sea surface temperature in Indian ocean by superensembling of artificial neural network output
      Shruthy Govindan, Akanksha Singh
Abstract: ANN have been used to access the predictability of the sea surface temperature in Indian ocean. Sea surface parameter is used to understand the exchange of momentum, heat,gases and moisture across air sea interface. Its knowledge is necessary to explain and predict important climate and weather processes including the summer monsoon. The objective of the study is to have time series prediction of the sea surface temperature in Indian ocean by superensembling ANN outputs . Forecasting of severe weather conditions are proposed to be carried out.

Reference this Research Paper (copy & paste below code):

Shruthy Govindan, Akanksha Singh (2017); Time series prediction of sea surface temperature in Indian ocean by superensembling of artificial neural network output; Int J Sci Res Publ 7(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0517.php?rp=P656379
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