Although climate change is a global challenge, its effects occur locally and differ by region (Leonard et al., 2014; Filho et al., 2016). Over the past few years, large positive departures of temperatures from their mean values have become commonplace in many parts of the world. Surface temperature over land regions have warmed at a faster rate than over the oceans in both hemispheres (IPCC, 2007). Each of the last three decades has been successively warmer at the Earth’s surface than any preceding decades since 1850. Warmth of the period from 1983 to 2012 is very likely higher than any 30-year period in last 1,400 years in the Northern Hemisphere, where such assessment is possible. The globally averaged combined land and ocean surface temperature data as calculated by in linear trend shows a warming of 0.85 °C during the period 1880 to 2012, when multiple independently produced datasets exist (IPCC, 2013). Indices for climate variability and extremes have been used for a long time, often by assessing days with temperature or precipitation observation above or below specific physically based thresholds (Zhang et al., 2011). Mainly due to the inter dependence and thermodynamic relations between the precipitation and temperature have been addressed in numerous studies (Liu et al., 2012). Changes in extreme weather and climate events have significant impacts and are among the most serious challenge to society in coping with a changing climate (CCSP, 2008). The warming global climate has increased concurrent climatic extremes and increased intensity of extreme weather events over different regions of earth, such as drought, heat waves, tropical cyclones, floods, and fires (Alexander et al., 2005; Leonard et al., 2014; AghaKouchak et al., 2014). Projections of extreme weather phenomena on the basis of temperature and precipitation indices in AR5 show probable increase in number and intensity of dry and hot periods in the summer time (Hao et al., 2013; Filho et al., 2016). Many practical problems require knowledge of the behavior of extreme values. In particular, the infrastructures we depend upon for food, water, energy, shelter and transportation are sensitive to high or low values of meteorological variables (WMO, 2009).