Investigation of the Usability of Mobile Sensors for Weather Forecasting

Year 2015, Volume: 2 Issue: 2, 46 - 55, 03.08.2015

Semih Dalğın A. Özgür Doğru

https://doi.org/10.30897/ijegeo.303542

Cited By: 1

Abstract

Crowd sourcing is a
popular method for providing data from people by the use of mobile sensor,
internet and communication technologies. However efficient use of the raw data
provided by the sensors with different characteristics in order to obtain
accurate results is not investigated in detail. 
This study aims to investigate the data collected by mobile sensors
integrated in the smartphones for scientific purposes such as weather
forecasting. In this context, accuracy of the data provided mobile humidity, pressure
and temperature sensors was examined in this study. Data provided by 5 smart
phones and 3 Bluetooth sensors were tested in this context. Accuracy assessment
process was performed by calculating the Root Mean Square Errors of the data
with respect to reference data collected by TST Sensor simultaneously. This
study shows that accuracy of the data collected with the mobile sensors is
affected by several external parameters such as climatic conditions, handling
habits of the user, and etc. Although it is possible to calculate correction
constant for each sensor separately, it is not possible to calculate a unique
and universal correction constant in order to increase the accuracy of the raw
data collected by the mobile sensors. Therefore further studies should be
executed for improving the accuracy of the mobile sensor data for scientific
purposes.

Keywords

Mobile sensors, weather forecast, accuracy assessment

References

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