title: Air Temperature Error Correction Based on Solar Radiation in an Economical Meteorological Wireless Sensor Network.
abstract: Air temperature (AT) is an extremely vital factor in meteorology, agriculture, military, etc., being used for the prediction of weather disasters, such as drought, flood, frost, etc. Many efforts have been made to monitor the temperature of the atmosphere, like automatic weather stations (AWS). Nevertheless, due to the high cost of specialized AT sensors, they cannot be deployed within a large spatial density. A novel method named the meteorology wireless sensor network relying on a sensing node has been proposed for the purpose of reducing the cost of AT monitoring. However, the temperature sensor on the sensing node can be easily influenced by environmental factors. Previous research has confirmed that there is a close relation between AT and solar radiation (SR). Therefore, this paper presents a method to decrease the error of sensed AT, taking SR into consideration. In this work, we analyzed all of the collected data of AT and SR in May 2014 and found the numerical correspondence between AT error (ATE) and SR. This corresponding relation was used to calculate real-time ATE according to real-time SR and to correct the error of AT in other months.
authors.affiliation: Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China. sunnudt@163.com.|College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China. sunnudt@163.com.|Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, China. sunnudt@163.com.
authors.forename: Xingming
authors.initials: X
authors.lastname: Sun
authors.affiliation: Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China. hotyss@hotmail.com.|College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China. hotyss@hotmail.com.
authors.forename: Shuangshuang
authors.initials: S
authors.lastname: Yan
authors.affiliation: Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China. 002380@nuist.edu.cn.|College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China. 002380@nuist.edu.cn.|Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, China. 002380@nuist.edu.cn.
authors.forename: Baowei
authors.initials: B
authors.lastname: Wang
authors.affiliation: Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China. xialixf@163.com.
authors.forename: Li
authors.initials: L
authors.lastname: Xia
authors.affiliation: Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China. qrankl@163.com.|College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China. qrankl@163.com.|Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, China. qrankl@163.com.
authors.forename: Qi
authors.initials: Q
authors.lastname: Liu
authors.affiliation: Huaiyin Institute of Technology, Huaian 223003, China. baobaomami@sina.com.
authors.forename: Hui
authors.initials: H
authors.lastname: Zhang
keywords: air temperature; data correction; solar radiation; wireless sensor networks