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DC Field | Value | Language |
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dc.contributor.author | Musa, T. A. | - |
dc.contributor.author | Mazlan, M. H | - |
dc.contributor.author | Opaluwa, Y. D. | - |
dc.contributor.author | Musliman, I. A. | - |
dc.contributor.author | Radzi, Z.M. | - |
dc.date.accessioned | 2023-02-13T10:18:25Z | - |
dc.date.available | 2023-02-13T10:18:25Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Musa et al. (2017). Water Vapour Weighted Mean Temperature Model for GPS-Derived Integrated Water Vapour in Peninsular Malaysia. The Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W5. | en_US |
dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18057 | - |
dc.description.abstract | This paper presents the development of TM model by using the radiosonde stations from Peninsular Malaysia. Two types of TM model were developed; site-specific and regional models. The result revealed that the estimation from site-specific model has small improvement compared to the regional model, indicating that the regional model is adequately to use in estimation of GPS-derived IWV over Peninsular Malaysia. Meanwhile, this study found that the diurnal cycle of TS has influenced the TM-TS relationship. The separation between daytime and nighttime observation can improve the relationship of TM-TS. However, the impact of diurnal cycle to IWV estimation is less than 1%. The TM model from Global and Tropic also been evaluated. The Tropic TM model is superior to be utilized as compared to the Global TM model. | en_US |
dc.description.sponsorship | National Space Agency (ANGKASA) from Ministry of Science, Technology & Innovation (MOSTI) Malaysia | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Society of Photogrammetry & Remote Sensing (ISPRS) | en_US |
dc.relation.ispartofseries | XLII-4/W5; | - |
dc.subject | Diurnal cycle, Monsoon, GPS Meteorology | en_US |
dc.title | Water Vapour Weighted Mean Temperature Model for Gps-Derived Integrated Water Vapour in Peninsular Malaysia. | en_US |
dc.type | Article | en_US |
Appears in Collections: | Surveying & Geoinformatics |
Files in This Item:
File | Description | Size | Format | |
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Musa_et_al_2017.pdf | Journal Article | 1.42 MB | Adobe PDF | View/Open |
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