Applying the 0-1 test on the analysis of climate and weather data using chaos theory

Abstract

Hydrological and climate data are presented through time series. Chaos Theory offers excellent results in analyzing and forecasting time series. This theory analyzes chaotic parameters to study the behavior of time series, detect chaos and to make the related predictions. Due to the nature of climate data in the time series of natural systems, the analysis of their chaotic capability in different climatic conditions is important. This study tries to investigate the behavior of meteorological parameters in three climates; hot and dry, mild and wet, using the 0-1 test to present a proper assessment of the performance of this method. The evaluation of this test is based on two modes of the classified date, with c-means, and the raw data. The results show that this method is efficient in diagnosing the chaos data of the three climates in the three stations of Tehran’s Mehrabad, Rasht and Ahvaz from 1947 to 2014. In addition, the ability of the test is approved in order to determine the ecological state of chaos systems using the raw data. Keywords: chaos theory; 0-1 test; climate data; c-means; meteorological data