Evaluation of Seasonal High Resolution Automated Weather Station (AWS) Data and its Impact on Society and Sustainability – A Case Study at Jahangirnagar University Campus

Abstract

The research is mainly focused on the location-specific monitoring and evaluation of high-resolution Automated Weather Station (AWS) data at Jahangirnagar University to interpret the climate condition and to evaluate the microdynamic impact of climate. This research also advances to analyze and interpret seasonal patterns in key weather parameters using AWS data, with an emphasis on their microclimatic implications and potential for broader climate resilience planning. The study utilizes high-resolution weather parameters, including temperature, relative humidity, precipitation, wind speed, air pressure, and solar radiation, from AWS data. AWS data has also been compared with the Bangladesh Meteorological Department (BMD) historical climate data to validate the results. The study observed clear seasonal variations: temperatures peaked at 36°C during pre-monsoon/monsoon and dropped to 13°C in winter; relative humidity was highest in monsoon and lowest in winter. In a survey report conducted from JU medical data, it is observed that during the pre-monsoon period, JU students are seriously affected by many health-related problems at very high temperatures, such as vomiting, severe headache, unconsciousness, high fever, and other diseases. Precipitation followed typical monsoon trends, while wind speeds and solar radiation varied seasonally due to the influence of pressure systems and cloud cover, respectively. These findings deepen the understanding of local climate behavior, aiding efforts in agriculture, water management, disaster preparedness, and urban planning. The results underscore the importance of granular, location-based, high-resolution weather monitoring for building climate resilience in urban or suburban areas. It is also estimated that the Automated Weather Station (AWS) high-resolution data is more reliable than the other recorded format of climate data collected from the Bangladesh Meteorological Department (BMD). Finally, it is also established that high-resolution AWS weather and climate data can give the best support in monitoring climate to attain sustainable development, community resilience, and climate-adaptive policymaking and societal development in Bangladesh.