70-76Four 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...
The main objective of this study was to develop empirical models with different seasonal lead time p...
The main objective of this study was to develop empirical models with different seasonal lead time p...
We present an artificial neural network model to predict the sea surface temperature (SST) and delin...
The prediction of Indian Summer Monsoon Rainfall (ISMR) is vital for Indian economic policy and a ch...
A relationship between summer monsoon rainfall and sea surface temperature anomalies was investigate...
210-220Artificial Neural Networks (ANN) have been used to access the predictability of sea surface t...
The prediction of Indian summer monsoon rainfall (ISMR) on a seasonal time scales has been attempted...
A relationship between summer monsoon rainfall and sea surface temperature anomalies was investigate...
The prediction of sea surface temperature (SST) on the basis of artificial neural networks (ANNs) ca...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
The main objective of this study was to develop empirical models with different seasonal lead time p...
The main objective of this study was to develop empirical models with different seasonal lead time p...
We present an artificial neural network model to predict the sea surface temperature (SST) and delin...
The prediction of Indian Summer Monsoon Rainfall (ISMR) is vital for Indian economic policy and a ch...
A relationship between summer monsoon rainfall and sea surface temperature anomalies was investigate...
210-220Artificial Neural Networks (ANN) have been used to access the predictability of sea surface t...
The prediction of Indian summer monsoon rainfall (ISMR) on a seasonal time scales has been attempted...
A relationship between summer monsoon rainfall and sea surface temperature anomalies was investigate...
The prediction of sea surface temperature (SST) on the basis of artificial neural networks (ANNs) ca...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
International audienceThe focus of this study is to document and discuss the variability and predict...
The main objective of this study was to develop empirical models with different seasonal lead time p...
The main objective of this study was to develop empirical models with different seasonal lead time p...
We present an artificial neural network model to predict the sea surface temperature (SST) and delin...