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자료유형
학술저널
저자정보
저널정보
한국기상학회 Asia-Pacific Journal of Atmospheric Sciences Journal of the Korean Meteorological Society Vol.43 No.4
발행연도
2007.11
수록면
449 - 456 (8page)

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Aim of this study is to detect a dynamic link for the predictability of Winter Monsoon Rainfall (WMR) over south India using Sea Surface Temperatures (SSTs) over tropical equatorial Pacific and Indian Oceans of the pre-monsoon period. For this purpose mean monthly SST data sets over Nino regions, Indian Ocean and WMR are downloaded and used them for the common period (1959-2003); statistical analysis of data sets in this study highlights that though SST indices over four Nino regions show a direct relationship with WMR, the SST index over Nino 3.4 (April and May) is more significant (+0.54) than over the other regions. Secondly, the relationship between SSTs over Tropical Western Equatorial Indian Ocean (TWEIO) region during April through June is positive with WMR and the correlation coefficient between them is significant at 0.1% level. Further, the consistency of above relationships from time to time is studied by 20-year sliding window test and it confirms that the relationships are very consistent during last four decades. Next for extreme SST events against corresponding rain bearing systems/rainfall from Bay of Bengal, Mann-Whitney rank statistical test is applied and it gives a clue that extreme positive (negative) SST episodes indicate wetter (drier) condition of monsoon. Finally significant multiple correlation coefficient among above SST predictors and WMR and independent relationship between two SST predictors suggested an algorithm for long range prediction of rainfall and it is tested for succeeding five years in this hindcast study. Leave-one-out cross validation and root mean square error tests applied for tested samples and results are promising.

목차

Abstract
1. Introduction
2. Data and methodology
3. Results
4. Conclusions
Acknowledgements
REFERENCES

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