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http://ir.futminna.edu.ng:8080/jspui/handle/123456789/10606
Title: | APPLICABILITY OF GLOBAL PRESSURE AND TEMPERATURE MODEL (GPT2w) FOR GPS METEOROLOGY IN PENINSULAR |
Authors: | Opaluwa, Y. D. Musa, Tajul A. Omar, Kamaludin M. Omar, Hiaham A. |
Keywords: | GPS Meteorology, GPT2w model, ZHD, ZWD, interpolated surface meteorological data, GPS-IWV. |
Issue Date: | May-2017 |
Publisher: | ISS-Nigeria, Universiti Technologi Malaysia |
Citation: | Opaluwa Y. D., Musa, T.A., Omar, K, Omar, H. A, Samaila-Ija, H. A and Izah, N. L (2017). Applicability of Global Pressure and Temperature Model (GPT2w) for GPS Meteorology in Peninsular Malaysia. In Proceedings of 3rd International Conference on Science, Engineering and the Social Sciences (ICSESS 2017) held at Universiti Teknologi Malaysia, Johor Bahru, Malaysia; May 17 – 18 |
Series/Report no.: | ICSESS Conference;3 |
Abstract: | Global Positioning System (GPS) meteorology requires that, surface meteorological data (temperature and pressure) should be preferably obtained from in-situ measurements co-locating with or close to the GPS antenna, this is not always available because most GPS network is for positioning and navigation. This paper presents an assessment of GPT2w model for GPS meteorology in the equatorial region; therefore, a study over Malaysian Peninsula was conducted. The accuracy of the model interpolated temperature and pressure was first evaluated based on meteorological data interpolated from AWS observations. Using the AWS-based IWV as reference, the GPS-derived IWV from GPT2w model was assessed. From the results, relative accuracy of 1.61%, 0.67% and 1.27% were obtained for the GPT2w model-based IWV at BANT, GETI and PEKN respectively with a correlation coefficient of over 0.9 at all the GPS stations. Therefore, applicability of the GPT2w model for GPS meteorology would be beneficial for GPS atmospheric remote sensing in Malaysia. |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/10606 |
Appears in Collections: | Surveying & Geoinformatics |
Files in This Item:
File | Description | Size | Format | |
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Opaluwa et al_ICSESS2017.pdf | 630.49 kB | Adobe PDF | View/Open |
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