Statistical and Chaotic Analysis for of Rainfall Observation in the City of Mosul

In this paper, we study the statistical and chaotically analysis for the real observations represented by the observations of rainy day falling on Mosul city , diagnose its behavior using some measurements and indicators of statistics and chaos that are applied directly on the time series data by using a new binary technical test, the 0-1 test for chaos, to identify some of the statistical and chaotic characteristics features for the real observations using the techniques and computer simulations represented by time series curve, State-Space Diagram. Periodicity is identified by the spectral analysis, check independence is based on the correlation integral and free statistics by using the statistical indicator BDS, and that supports the diagnosis of conduct for these observations. In this study, real observations for the years 1994-2000. Show, through this paper, that the time series of rainfall in the city of Mosul is not independent and its behavior is non-periodic, chaotic and irregular, this can not predict its behavior in the long time.