Development of real-time precipitable water vapor monitoring system

Author

Suparta, Wayan ; Alhasa, Kemal Maulana

Author_Institution

Inst. of Space Sci. (ANGKASA), Univ. Kebangsaan Malaysia, Bangi, Malaysia

fYear

2013

fDate

7-8 Nov. 2013

Firstpage

135

Lastpage

140

Abstract

The development of a real-time system to monitor the precipitable water vapor (PWV) using surface meteorological data as the input is reported in this paper. The PWV value is estimated using the, adaptive neuro fuzzy inference system (ANFIS) model that was generated using the Matlab™ software. The input of the model was taken based on the data measured by the meteorological sensors (surface pressure, temperature and relative humidity) that was included in the system. The system is developed by using the LabVIEW program at the Universiti Kebangsaan Malaysia (UKM). The system has been tested and can be operated very well under windows based platform.

Keywords

atmospheric humidity; atmospheric precipitation; atmospheric pressure; atmospheric techniques; atmospheric temperature; fuzzy reasoning; geophysics computing; meteorology; neural nets; ANFIS model; LabVIEW program; Matlab software; PWV; adaptive neurofuzzy inference system; atmospheric temperature; meteorological sensors; precipitable water vapor monitoring system; real time monitoring system; relative humidity; surface meteorological data; surface pressure; Atmospheric measurements; Atmospheric modeling; Instruments; Mathematical model; Meteorology; Monitoring; Real-time systems; ANFIS model; Development; LabView; Matlab™; PWV;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2013 3rd International Conference on

Conference_Location

Bandung

Print_ISBN

978-1-4799-1649-8

Type

conf

DOI

10.1109/ICICI-BME.2013.6698480

Filename

6698480