Abstract
Meteorological data is important and affects all facets of life from business to engineering to society to agriculture. The Meteorological data include rainfall, temperature, humidity and others which form weather variables. The confidence placed in quantitative estimates of these meteorological data is strongly related to the quality of their measuring instruments such as a sensor. In this study we tested the accuracy of newly light-built sensor which measures temperature and humidity simultaneously. By using ERA5 dataset as observed, validation was done on the sensor by comparing the observed data set against the data from the sensor using some statistical techniques such as Root Mean Square Error, Mean Absolute Error and Mean Bias Error. These findings demonstrate that the light-built humidity/temperature sensor is more accurate with respect to measuring temperature than that of humidity as the statistical analysis showed the errors in the measurement were lower for temperature than humidity. This study’s findings gives a step towards a sense of reliability in the light built sensor.
Details
Presentation Type
Theme
Technical, Political, and Social Responses
KEYWORDS
Temperature, Sensor,Weather,Data, Error, Humidity
