NISCAIR Online Periodicals Repository

NISCAIR ONLINE PERIODICALS REPOSITORY (NOPR)  >
NISCAIR PUBLICATIONS >
Research Journals >
Indian Journal of Geo-Marine Sciences (IJMS) >
IJMS Vol.37 [2008] >
IJMS Vol.37(1) [March 2008] >


Title: Southern Indian Ocean SST indices as early predictors of Indian summer monsoon
Authors: Tripathi, K. C.
Rai, Shailendra
Pandey, A. C.
Das, I. M. L.
Keywords: Artificial neural networks
Error back propagation
Monsoon
Southern Indian Ocean
Sea surface temperature indices
Indian summer monsoon
Predictors
Issue Date: Mar-2008
Publisher: CSIR
Abstract: Four indices of quarterly mean sea surface temperature (SST) values extracted for Southern Indian Ocean (SIO) region for which the maximum correlation with All India Rainfall Index (AIRI) was found with a lag up to 7 seasons w.r.t. the onset of monsoon. The Artificial Neural Network (ANN) technique has been used to study the predictability of the Indian summer monsoon with four indices individually as well as in various combinations. It has been found that two combinations of SST indices of SIO region, SIOI + ACCI and CSIOI + NWAI + SIOI + ACCI, show best predictive skill when used collectively. It has been found that the performance of the ANN model is better than the corresponding regression model in the prediction of ISMR indicating that the relationship between ISMR and SST indices are non-linear in nature.
Page(s): 70-76
ISSN: 0379-5136
Source:IJMS Vol.37(1) [March 2008]

Files in This Item:

File Description SizeFormat
IJMS 37(1) (2008) 70-76.pdf255.51 kBAdobe PDFView/Open
 Current Page Visits: 531 
Recommend this item

 

National Knowledge Resources Consortium |  NISCAIR Website |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2012 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 557689 since 06-Feb-2009  Last updated on 15-Jul-2014Webmaster: nopr@niscair.res.in