KEYWORDS: Sensors, Environmental monitoring, Clouds, Internet of things, Design and modelling, Aerosols, Data transmission, Data processing, Data acquisition, Ultraviolet radiation
This paper focuses on the design and implementation of a micrometeorological weather station tailored for swarm applications in ground-based scenarios. The concept of a swarm application refers to the integration of numerous low-cost devices that work together to optimise efficiency. Our weather station integrates sensors such as GPS, temperature, humidity, air pressure, wind metrics, particle measurements and radiation parameters, and incorporates a camera for enhanced data insights. Built on a state of the art Sensebox MCU, Arduino Mega and Raspberry Pi, the different stations provides a low-cost solution. Field tests have verified and validated the station’s capabilities, and while some limitations have been identified, the station’s swarm applicability holds promise for large-scale weather data collection in large environments.
This paper presents a field trial aimed at evaluating the performance of a micrometeorological weather station developed by IOSB. Which aims to sample a larger area through point measurements. Goal of the trial was to sample meteorological data of a larger scale by extensive point measurements. The weather station is equipped with a variety of sensors, including GPS, temperature, humidity, air pressure, wind speed and direction, as well as particle and aerosol measurements (PM1, PM2.5, and PM10). Additionally, radiation variables such as UV and IR measurements (IR: response maximum 820nm, UV: response range 280 – 430 nm), as well as aerosol optical thickness, can be measured. The weather station is also equipped with a camera for wider optical applications such as turbulence determination, cloud tracking, and positioning.
During several intense field trials, including in Jordan, the performance and accuracy of the micrometeorological weather station in measuring weather parameters were evaluated and a variety of errors were corrected. The data collected by the weather station are compared with measurements from other meteorological instruments to evaluate the reliability and accuracy of the weather station.
The micrometeorological weather station has the potential to be a cost-effective and reliable solution for measuring weather parameters in various applications such as precision agriculture, environmental monitoring, and climate research.
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