Extreme weather condition spose serious impacts on the reliability of the transportation networks greatly, as it causes significant disruptions to traffic flow. Hence, it important to look at the effect of extreme weather conditions on traffic flow characteristics to prepare the system for future circumstances. In this regard, the present study carried out a detailed spatio temporal analysis on traffic data during storm days to understand the impact of weather on traffic. In order to conduct this study, the present study identified two extreme weather in the year 2019 and 2020 based on the warnings issued by National Meteorological organization of Ireland and analyzed the reliability indices of travel time/speed. The present study sourced from eight traffic counter locations across different provinces of the Republic of Ireland with main focus along the coast and extracted traffic data during the warning dates. The present study utilized the collected traffic data to carry out temporal analysis of the speed/travel time reliability indices such as Planning Time Index (PTI), Buffer Index (BI) to understand the changes in the traffic flow behavior and reliability. The results indicated the travel time reliability is impacted greatly during storm days and the impacts of post storm period was found to be significant across different locations. A dashboard has been developed using Jupyter Dash package to monitor the evolution of traffic system during these warning dates.