Analysis of precipitation pattern using various stochastic distributions in Karnataka state, India

Precipitation has been usually considered as an initial point towards the concern of climate changes and it has an important component of the hydrologic cycle. Our aim of this work is to investigate 30 years of precipitation (1973-2002) in Karnataka state using probability distributions which are normal, gamma, gamma (3P), Weibull, Weibull(3P) and Chi-squared distributions. Here Chi-squared and Kolmogorov-Smirnov (KS test) are used for the goodness of fit of the data for comparisons. From the investigation, the Weibull distribution is best performed with 39% of precipitation of all districts and next best fits are normal and gamma distributions. The results would be very beneficial for agricultural peoples, weather research forecasting department and climate change department in all districts of Karnataka, India.