2002
DOI: 10.1029/2002gl015159
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Atmospheric models, GPS and InSAR measurements of the tropospheric water vapour field over Mount Etna

Abstract: [1] Dynamic models of atmospheric movement over the Mount Etna volcano are used to calculate the path delays affecting radar caused by variable water vapour in the troposphere. We compare these model results with the equivalent differential radar interferogram generated by two ERS-2 SAR images taken 35 days apart and the water vapour delay retrievals from a network of fourteen GPS stations distributed over the volcano. The atmospheric model delay field agrees well with the long-wavelength spatial differences m… Show more

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Cited by 117 publications
(89 citation statements)
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“…[18] Mesoscale or high-resolution atmospheric models have also been used to generate atmospheric delay maps, either by themselves [Jolivet et al, 2011] or in conjunction with multispectral data [e.g., Wadge et al, 2002;Puysségur et al, 2007]. We will briefly discuss results from using this approach and compare it to the multispectral method in section 6.…”
Section: Construction Of Interferograms and Atmospheric Contaminationmentioning
confidence: 99%
“…[18] Mesoscale or high-resolution atmospheric models have also been used to generate atmospheric delay maps, either by themselves [Jolivet et al, 2011] or in conjunction with multispectral data [e.g., Wadge et al, 2002;Puysségur et al, 2007]. We will briefly discuss results from using this approach and compare it to the multispectral method in section 6.…”
Section: Construction Of Interferograms and Atmospheric Contaminationmentioning
confidence: 99%
“…Predictive methods are based on inputs from external data sets to compute synthetic delay maps and directly correct for tropospheric delays in interferograms. The external data sets include local meteorological data [43], GPS zenith delay measurements [44][45][46][47], satellite multi-spectral imagery [48,49], and outputs from local meteorological models constrained by local data collection [50][51][52]. These external data have proven successful and accurate for atmospheric correction; however, rarely available local data limit the popularity of this method.…”
Section: Atmospheric Correctionmentioning
confidence: 99%
“…In this study, we use high resolution water vapor maps derived from weather forecasting models to correct for two pass DInSAR in the error correction procedure, based on previous research conducted by Wedge et al [39], Foster et al [40] and Nico et al [41]. [33] and SBAS [35] are two methods widely used for performing time series analysis.…”
Section: Two Pass Dinsar With Atmospheric Error Compensationmentioning
confidence: 99%