Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18057
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dc.contributor.authorMusa, T. A.-
dc.contributor.authorMazlan, M. H-
dc.contributor.authorOpaluwa, Y. D.-
dc.contributor.authorMusliman, I. A.-
dc.contributor.authorRadzi, Z.M.-
dc.date.accessioned2023-02-13T10:18:25Z-
dc.date.available2023-02-13T10:18:25Z-
dc.date.issued2017-
dc.identifier.citationMusa 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.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/18057-
dc.description.abstractThis 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.sponsorshipNational Space Agency (ANGKASA) from Ministry of Science, Technology & Innovation (MOSTI) Malaysiaen_US
dc.language.isoenen_US
dc.publisherInternational Society of Photogrammetry & Remote Sensing (ISPRS)en_US
dc.relation.ispartofseriesXLII-4/W5;-
dc.subjectDiurnal cycle, Monsoon, GPS Meteorologyen_US
dc.titleWater Vapour Weighted Mean Temperature Model for Gps-Derived Integrated Water Vapour in Peninsular Malaysia.en_US
dc.typeArticleen_US
Appears in Collections:Surveying & Geoinformatics

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