Abstract

Meteorological information is important for decision making when related to natural phenomena, research in meteorology and climatology, etc. Considering that the cost of implementing monitoring stations can be high, studies have been carried out using low-cost equipment for meteorological monitoring. However, the information is unreliable because it does not follow a regulated standard and rises the uncertainty of how accurate the measurements are. This article studies the implementation of the Bosch BME280 integrated environmental unit which includes referential meteorological monitoring sensors for the estimation of temperature, relative humidity, and barometric pressure; used in mobile applications within the internet of things (IoT). The measurements produced by the Bosch unit are compared with those delivered by an automatic meteorological station (AWS) to determine the accuracy and reliability of the generated data. The outcomes show that the records present a constant phase shift, which, when determined and corrected, results in a similarity between measurements greater than 95%.