Recent predictors of Indian summer monsoon based on Indian and Pacific Ocean SST

• Published in: Meteorology and atmospheric physics Vol. 131; no. 3; pp. 525 - 539
• Main Authors: Shahi, Namendra Kumar, Rai, Shailendra, Mishra, Nishant
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.06.2019; Springer Nature B.V
• Subjects: Aquatic Pollution; Atmospheric Sciences; Coefficients; Correlation analysis; Correlation coefficient; Correlation coefficients; Earth and Environmental Science; Earth Sciences; Math. Appl. in Environmental Science; Meteorology; Monsoon rainfall; Monsoons; Oceans; Original Paper; Rain; Rainfall; Regression analysis; Sea surface; Sea surface temperature; Stability; Statistical analysis; Statistical methods; Statistics; Summer; Summer monsoon; Surface temperature; Teleconnections (meteorology); Terrestrial Pollution; Time domain analysis; Tropical climate; Waste Water Technology; Water Management; Water Pollution Control; Pacific Ocean
• ISSN: 0177-7971; 1436-5065
• DOI: 10.1007/s00703-018-0585-6

This study investigates the relationship between sea surface temperature (SST) of various geographical locations of Indian and Pacific Ocean with the Indian summer monsoon rainfall (ISMR) to identify possible predictors of ISMR. We identified eight SST predictors based on spatial patterns of correlation coefficients between ISMR and SST of the regions mentioned above during the time domain 1982–2013. The five multiple linear regression (MLR) models have been developed by these predictors in various combinations. The stability and performance of these MLR models are verified using cross-validation method and other statistical methods. The skill of forecast to predict observed ISMR from these MLR models is found to be substantially better based on various statistical verification measures. It is observed that the MLR models constructed using the combination of SST indices in tropical and extra tropical Indian and Pacific is able to predict ISMR accurately for almost all the years during the time domain of our study. We tried to propose the physical mechanism of the teleconnection through regression analysis with wind over Indian subcontinent and the eight predictors and the results are in the conformity with correlation coefficient analysis. The robustness of these models is seen by predicting the ISMR during recent independent years of 2014–2017 and found the model 5 is able to predict ISMR accurately in these years also.