Abstract

Abstract Tropospheric delay is the second major source of error after the ionospheric delay for satellite navigation systems. The transmitted signal could face a delay caused by the troposphere of over 2m at zenith and 20m at lower satellite elevation angles of 10 degrees and below. Positioning errors of 10m or greater can result from the inaccurate mitigation of the tropospheric delay. Many techniques are available for tropospheric delay mitigation consisting of surface meteorological models and global empirical models. Surface meteorological models need surface meteorological data to give high accuracy mitigation while the global empirical models need not. Several hybrid neutral atmosphere delay models have been developed by (University of New Brunswick, Canada) UNB researchers over the past decade or so. The most widely applicable current version is UNB3m, which uses the Saastamoinen zenith delays, Niell mapping functions, and a look-up table with annual mean and amplitude for temperature, pressure, and water vapour pressure varying with respect to latitude and height. This paper presents an assessment study of the behaviour of the UNB3m model compared with highly accurate IGS-tropospheric estimation for three different (latitude/height) IGS stations. The study was performed over four nonconsecutive weeks on different seasons over one year (October 2014 to July 2015). It can be concluded that using UNB3m model gives tropospheric delay correction accuracy of 0.050m in average for low latitude regions in all seasons. The model's accuracy is about 0.075m for medium latitude regions, while its highest accuracy is about 0.014m for high latitude regions.

Highlights

  • The most widely used formula for tropospheric refractivity N is the (Smith and Weintraub, 1953) simplified two-term formula: N P T x1 § ̈© e T2 · ̧1 (1.1) where,P : the total atmospheric pressure in,T : temperature in Kelvin, e : partial pressure of water vapour.Three basic types of models exist that relate the parameters in equation (1.1) to either empirical Surface Meteorological (SM) measurements or global standard atmospheres or numerical weather predication models.Surface Meteorological models are based on radiosonde profiles and relate the parameters of equation (1.1) to measurements taken at the ground surface

  • Global Empirical Models avoid the use of surface meteorological data and assume that the atmosphere behaves in a certain manner depending on the behaviour of the temperature, pressure, and humidity such as Bomford, Bernese, Magnet, EGNOS and UNB models

  • Global weather prediction models uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions such as the North American Mesoscale Model (NAM), the Global Forecast System (GFS), and the long standing Nested Grid Model (NGM) (NCEI, 2015)

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Summary

INTRODUCTION

The most widely used formula for tropospheric refractivity N is the (Smith and Weintraub, 1953) simplified two-term formula: N. The most widely applicable current version is UNB3, which uses the Saastamoinen zenith delays, Niell mapping functions, and a look-up table with annual mean and amplitude for temperature, pressure, and water vapour pressure varying with respect to latitude and height. These parameters are computed for a particular latitude and day of year using a cosine function for the annual variation and a linear interpolation for latitude. Table 3.1.1: Total Tropospheric Zenith Delay Difference analysis between UNB3M Model and IGS-tropospheric estimation for (nklg- low latitude IGS station)

Medium-Latitude Region
High-Latitude Region
DISCUSSION
CONCLUSIONS
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