INVESTIGATION OF CHAOS EXISTENCE IN THE TIME SERIES OF LAHORE PRECIPITATION
Abstract
The science of chaos is a burgeoning field, and the available methods to investigate the existence of chaos in a time series are still being developed. Chaos is also characterized by a positive Lyapunov exponent, which can be thought of as a measure of the long-term unpredictability of the system; equilibrium and periodic attractors have a negative exponent, whereas a quasiperiodic attractor has an exponent of zero. During the last few decades there have emerged several attempts to use the paradigm of ‘chaos’ for a description and forecasting of climatic processes. The predictability of daily rainfall is the most difficult task due to the nonlinear complex climate’s dynamical system. This paper aims to investigate the existence of chaos in the time series of Lahore precipitation.References
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