Authors : Wayan Suparta and Kemal Maulana Alhasa
Abstract: This study reports the progress of development of a real-time monitoring system for Precipitable Water Vapor (PWV) at Universiti Kebangsaan Malaysia (UKM). The first stage of PWV system was developed under the LabVIEW platform and as of now, it is updated by adding the monitoring of Zenith Total Delay (ZTD) with a storage management. The ZTD parameter was estimated by using the Adaptive Neuro Fuzzy Inference System (ANFIS) Model that was generated by MatlabTM. To estimate the ZTD value, the model input was taken from real-time data measured by the meteorological sensors (pressure, temperature and relative humidity) that was included in the system. The storage management system has been updated using a database management which capable to store the results of the monitoring data. A database was constructed using a MySQL that is open source database and integrated with the powerful of LabVIEW system. This system has been successfully implemented in our laboratory and proved easier to operate and provide a faster response under a windows platform. Furthermore, the real-time monitoring system data will be published in a website and their development was carried out. The data generated from this system will make easier to users around the world and provide benefits to forecasters and modelers to improve the accuracy of weather forecasts and predictions.
Wayan Suparta and Kemal Maulana Alhasa, 2014. The Progress Development of a Real-Time Monitoring System for Precipitable Water Vapor Measurements. Journal of Engineering and Applied Sciences, 9: 434-440.