Nowadays, Global warming is one of the important concerns due to which rapid change is occurring in climate throughout the world. This climate change has remarkable effects on living beings as well as on biotic and non-biotic. The climatic parameters, create a never-ending urge for the robust investigation to counter the unwanted harsh effects of change in the climate. As per the past studies, the trend analysis method is considered one of the most common and effective methods. Innovative Polygon Trend Analysis (IPTA) is an innovative, non-parametric technique of analysis for estimating trends in recent years. It almost avoids the difficulties faced in the parametric approach. The unique feature of this method is its dependence on time-series data and correspondingly comparison of data series with each other. Therefore, in this article, the average temperature (monthly) and total rainfall data (monthly) of the district of Hardwar is fetched and analyzed for the period-interval of 40 years (1981 to 2020). The result obtained consist of Polygon graphics (arithmetic and standard deviation) along with trend slope and trend length. According to the results, it is observed that no regular polygon is seen in the graphics of minimum temperature and rainfall data while regular polygon is seen in arithmetic mean of maximum rainfall. This means that minimum temperature and rainfall data varies by years and maximum temperature data has homogenous behavior. Inferring this, reciprocated incremental and decrement trends were observed in some months when the statistical parameters standard deviation and arithmetic mean are analyzed.