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dc.contributor.authorEl-Mowafy, Ahmed
dc.contributor.authorTuka, A.
dc.date.accessioned2017-01-30T15:02:53Z
dc.date.available2017-01-30T15:02:53Z
dc.date.created2013-08-27T20:00:27Z
dc.date.issued2013
dc.identifier.citationEl-Mowafy, A. and Tuka, A. 2013. Performance evaluation of different troposphere delay models and mapping functions. Measurement. 46 (2): pp. 928-937.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/42890
dc.identifier.doi10.1016/j.measurement.2012.10.015
dc.description.abstract

Tropospheric delay is a major error source in positioning by Global Navigation Satellite Systems (GNSSs). System users often apply one of the available troposphere models without giving sufficient background on their performance. In this study, the performance of different known hydrostatic and wet troposphere delay models and mapping functions are internally and externally compared and analysed at selected sites around the globe. International GNSS Service (IGS) products were used as a reference. The best performing models are presented. Results showed that small discrepancies are present between different models. All models perform significantly better at the mid-latitudes than at the Equator.

dc.publisherElsevier Ltd.
dc.subjectMapping functions
dc.subjectGNSS
dc.subjectTroposphere delay
dc.subjectHydrostatic delay
dc.subjectWet delay
dc.titlePerformance evaluation of different troposphere delay models and mapping functions
dc.typeJournal Article
dcterms.source.volume46
dcterms.source.number2
dcterms.source.startPage928
dcterms.source.endPage937
dcterms.source.issn0263-2241
dcterms.source.titleMeasurement
curtin.note

NOTICE: this is the author’s version of a work that was accepted for publication in the journal Measurement. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in the Journal Measurement, Vol.46, No.2 (2013). DOI: 10.1016/j.measurement.2012.10.015

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curtin.accessStatusOpen access


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