Iot Enabled Weather Monitoring System For Local Climate Analysis

Abstract

The increasing need for accurate and efficient local climate analysis has led to the development of IoT-enabled weather monitoring systems. This paper presents a detailed study on an IoT-based weather monitoring system designed to enhance local climate analysis. The system integrates various environmental sensors such as temperature, humidity, wind speed, and atmospheric pressure to capture real-time weather data. Data is transmitted via wireless communication technologies to a centralized platform, where it is processed and analyzed for patterns and trends. The IoT framework significantly improves the accessibility, scalability, and accuracy of climate data collection compared to traditional weather stations. Additionally, the paper discusses the challenges of deploying such systems in various environments, including sensor calibration and data integrity. Results suggest that IoT-based systems offer significant advantages in continuous, real-time weather monitoring for localized climate analysis, which can be applied in areas such as agriculture, disaster management, and urban planning.