An easily implemented algorithm for the tropospheric range correction

Black, H. D.

doi:10.1029/jb083ib04p01825

Cited by 114 publications

(53 citation statements)

References 4 publications

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“…the Hopfield model (Hopfield 1969), Saastamoinen model (Saastamoinen 1973) and Black model (Black 1978). As recommended by Mendes (1999), the Saastamoinen model has been used in this study.…”

Section: Gps-derived Tropospheric Delaymentioning

confidence: 99%

Tropospheric corrections to SAR interferometry from GPS observations

2004

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Interferometric Synthetic Aperture Radar (InSAR) techniques have been recognised as an ideal tool for many ground deformation monitoring applications. However, the spatially and temporally variable delay of the radar signal propagating through the atmosphere is a major limitation to accuracy. The dominant factor to be considered is the tropospheric heterogeneity, which can lead to misinterpretation of InSAR results. In this paper a between-site and between-epoch double-differencing algorithm for the generation of tropospheric corrections to InSAR results based on GPS observations is tested. In order to correct the radar results on a pixel-by-pixel basis, the GPS-derived corrections have to be interpolated. Using experimental data it has been found that the inverse distance weighted and kriging interpolation methods are more suitable than the spline interpolation method. Differential corrections as large as several centimetres may have to be applied in order to ensure subcentimetre accuracy for the InSAR result. The algorithm and procedures described in this paper could easily be implemented in a continuous GPS network data centre. The interpolated image of between-site, singledifferenced tropospheric delays can be derived as a routine product to assist radar interferometry.

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Section: Gps-derived Tropospheric Delaymentioning

confidence: 99%

Tropospheric corrections to SAR interferometry from GPS observations

2004

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“…Via the stepwise regression analysis, we find that the offsets of Saastamoinen-derived and radiosonde-derived ZHD mainly correlate with the temperature and pressure. In order to improve the accuracy of the ZHD, we compensate the Saastamoinen-derived ZHD with a model at a similar form to the Black formula (Black, 1978).…”

Section: Zhd Computationmentioning

confidence: 99%

“…To obtain the ZWD, the ZHD is essential to remove from the ZTD. The ZHD is usually computed using the classical models such as Saastamoinen model, Hopfield model and Black model (Saastamoinen, 1972;Hopfield, 1971;Black, 1978). However, the classical models are inaccurate because they require measurements of pressure with a precision of 0.1 hPa, which can be obtained from local meteorological stations coupled to GPS stations (Tregoning and Herring, 2006).…”

Section: Introductionmentioning

confidence: 99%

Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data

Xia

Cai

2016

Ann. Geophys.

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Abstract. The near-real-time high spatial resolution of atmospheric water vapor distribution is vital in numerical weather prediction. GPS tomography technique has been proved effectively for three-dimensional water vapor reconstruction. In this study, the tomography processing is optimized in a few aspects by the aid of radiosonde and COSMIC historical data. Firstly, regional tropospheric zenith hydrostatic delay (ZHD) models are improved and thus the zenith wet delay (ZWD) can be obtained at a higher accuracy. Secondly, the regional conversion factor of converting the ZWD to the precipitable water vapor (PWV) is refined. Next, we develop a new method for dividing the tomography grid with an uneven voxel height and a varied water vapor layer top. Finally, we propose a Gaussian exponential vertical interpolation method which can better reflect the vertical variation characteristic of water vapor. GPS datasets collected in Hong Kong in February 2014 are employed to evaluate the optimized tomographic method by contrast with the conventional method. The radiosonde-derived and COSMICderived water vapor densities are utilized as references to evaluate the tomographic results. Using radiosonde products as references, the test results obtained from our optimized method indicate that the water vapor density accuracy is improved by 15 and 12 % compared to those derived from the conventional method below the height of 3.75 km and above the height of 3.75 km, respectively. Using the COSMIC products as references, the results indicate that the water vapor density accuracy is improved by 15 and 19 % below 3.75 km and above 3.75 km, respectively.

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“…The most popular models are the Saastamoinen (SAAS) (Saastamoinen, 1973), Hopfield (Hopfield, 1971) and Black (Black, 1978) models, defined as follows:…”

Section: Principles Of Gps Pwv Estimationmentioning

confidence: 99%

GPS Water Vapor Estimation Using Interpolated Surface Meteorological Data from Australian Automatic Weather Stations

Bai¹,

Feng²

2003

J. of GPS

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Abstract. The existing GPS tracking networks established primarily for surveying, geodesy and navigation purposes may also be used for meteorology studies. This research uses hourly surface temperature and pressure (T & P) observations from Australia for GPS Precipitable Water Vapor (PWV) estimation. The paper outlines the basic meteorological data requirements, and presents experimental results to show the comparison between interpolated and observed T and P values, and agreement between GPS-PWV estimates, using surface meteorological data and radiosonde PWV results. Data analysis of 36 data points in the Victoria region has demonstrated that the Ordinary Kriging method is preferable to pressure interpolation, resulting in an overall standard deviation of 0.40 mbar in pressure or 0.15mm in PWV estimation. We use the interpolated T and P measurements for four Australian IGS GPS sites to estimate GPS-PWV and compare against the radiosonde PWV results for the closely located radiosonde observations. 195 comparisons from all the sites have shown that GPS-PWV estimates agree with the Rad-PWV solutions at an average mean difference of -0.604 mm and RMS of 1.74mm for the tested stations. This agreement level is considered very reasonable. The experimental study shows a possible way to develop GPS meteorology and applications with the existing meteorological data network. This could save significant costs in installation of GPS-Met sensors.

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An easily implemented algorithm for the tropospheric range correction

Cited by 114 publications

References 4 publications

Tropospheric corrections to SAR interferometry from GPS observations

Tropospheric corrections to SAR interferometry from GPS observations

Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data

GPS Water Vapor Estimation Using Interpolated Surface Meteorological Data from Australian Automatic Weather Stations

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