Monsoon Subdivisional Rainfall Dimensionality and Predictability

J. R. Kulkarni

doi:10.1007/BF02919617

Impact Factor: 5.8

Volume 8 Issue 3

Jul. 1991

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1991 > 8(3): 351-356

Monsoon Subdivisional Rainfall Dimensionality and Predictability

J. R. Kulkarni

1.
Indian Institute of Tropical meteorology, Pune-411008, India

J. R. Kulkarni

doi: 10.1007/BF02919617

Abstract
References
Related papers
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Abstract:
For summer monsoon rainfall purpose India is divided into 35 subdivisions. The daily rainfall series of one such subdivision (Konkan) has been analysed using the phase space approach. Fifteen years (1959-1973) of daily rainfall data have been utilised in this study. The analysis shows that the variability is due to the existing of strange attractor of dimension about 3.8. The predictability is estimated by computing the Lyapunov characteristic exponent. The computations show that the predictability is about 8 days.
References

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Manuscript History

Manuscript received: 10 July 1991

Manuscript revised: 10 July 1991

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Monsoon Subdivisional Rainfall Dimensionality and Predictability

J. R. Kulkarni

1. Indian Institute of Tropical meteorology, Pune-411008, India

Manuscript received: 1991-07-10
Manuscript revised: 1991-07-10

Abstract: For summer monsoon rainfall purpose India is divided into 35 subdivisions. The daily rainfall series of one such subdivision (Konkan) has been analysed using the phase space approach. Fifteen years (1959-1973) of daily rainfall data have been utilised in this study. The analysis shows that the variability is due to the existing of strange attractor of dimension about 3.8. The predictability is estimated by computing the Lyapunov characteristic exponent. The computations show that the predictability is about 8 days.