Analysis of the GRAV-D Airborne Gravity Data for Geoid Modelling

Author(s):  
J. Huang ◽  
S. A. Holmes ◽  
D. Zhong ◽  
M. Véronneau ◽  
Y. Wang ◽  
...  
2013 ◽  
Vol 341-342 ◽  
pp. 999-1004
Author(s):  
Wei Zhou ◽  
Ti Jing Cai

For low-pass filtering of airborne gravity data processing, elliptic low-pass digital filters were designed and filtering influences of the elliptic filter order, upper limit passband frequency, maximal passband attenuation and minimal stopband attenuation were studied. The results show that the upper limit passband frequency has the greatest effect on filtering among four parameters; the filter order and the maximal passband attenuation have some influence, but instability will increase with larger order; the effect of the minimal stopband attenuation is not obvious when reaching a certain value, which requires a combination of evaluation indicator accuracy to determine the optimal value. The standard deviations of discrepancies between the elliptic filtered gravity anomaly with optimal parameters and the commercial software result are within 1mGal, and the internal accord accuracy along four survey lines after level adjusting is about 0.620mGal.


Geophysics ◽  
2002 ◽  
Vol 67 (3) ◽  
pp. 807-816 ◽  
Author(s):  
Jérôme Verdun ◽  
Roger Bayer ◽  
Emile E. Klingelé ◽  
Marc Cocard ◽  
Alain Geiger ◽  
...  

This paper introduces a new approach to airborne gravity data reduction well‐suited for surveys flown at high altitude with respect to gravity sources (mountainous areas). Classical technique is reviewed and illustrated in taking advantage of airborne gravity measurements performed over the western French Alps by using a LaCoste & Romberg air‐sea gravity meter. The part of nongravitational vertical accelerations correlated with gravity meter measurements are investigated with the help of coherence spectra. Beam velocity has proved to be strikingly correlated with vertical acceleration of the aircraft. This finding is theoretically argued by solving the equation of the gravimetric system (gravity meter and stabilized platform). The transfer function of the system is derived, and a new formulation of airborne gravity data reduction, which takes care of the sensitive response of spring tension to observable gravity field wavelengths, is given. The resulting gravity signal exhibits a residual noise caused by electronic devices and short‐wavelength Eötvös effects. The use of dedicated exponential filters gives us a way to eliminate these high‐frequency effects. Examples of the resulting free‐air anomaly at 5100‐m altitude along one particular profile are given and compared with free‐air anomaly deduced from the classical method for processing airborne gravity data, and with upward‐continued ground gravity data. The well‐known trade‐off between accuracy and resolution is discussed in the context of a mountainous area.


Geophysics ◽  
2005 ◽  
Vol 70 (1) ◽  
pp. J1-J12 ◽  
Author(s):  
Lopamudra Roy ◽  
Mrinal K. Sen ◽  
Donald D. Blankenship ◽  
Paul L. Stoffa ◽  
Thomas G. Richter

Interpretation of gravity data warrants uncertainty estimation because of its inherent nonuniqueness. Although the uncertainties in model parameters cannot be completely reduced, they can aid in the meaningful interpretation of results. Here we have employed a simulated annealing (SA)–based technique in the inversion of gravity data to derive multilayered earth models consisting of two and three dimensional bodies. In our approach, we assume that the density contrast is known, and we solve for the coordinates or shapes of the causative bodies, resulting in a nonlinear inverse problem. We attempt to sample the model space extensively so as to estimate several equally likely models. We then use all the models sampled by SA to construct an approximate, marginal posterior probability density function (PPD) in model space and several orders of moments. The correlation matrix clearly shows the interdependence of different model parameters and the corresponding trade-offs. Such correlation plots are used to study the effect of a priori information in reducing the uncertainty in the solutions. We also investigate the use of derivative information to obtain better depth resolution and to reduce underlying uncertainties. We applied the technique on two synthetic data sets and an airborne-gravity data set collected over Lake Vostok, East Antarctica, for which a priori constraints were derived from available seismic and radar profiles. The inversion results produced depths of the lake in the survey area along with the thickness of sediments. The resulting uncertainties are interpreted in terms of the experimental geometry and data error.


2021 ◽  
Author(s):  
Yan Ming Wang ◽  
Xiaopeng Li ◽  
Kevin Ahlgren ◽  
Jordan Krcmaric ◽  
Ryan Hardy ◽  
...  

<p>For the upcoming North American-Pacific Geopotential Datum of 2022, the National Geodetic Survey (NGS), the Canadian Geodetic Survey (CGS) and the National Institute of Statistics and Geography of Mexico (INEGI) computed the first joint experimental gravimetric geoid model (xGEOID) on 1’x1’ grids that covers a region bordered by latitude 0 to 85 degree, longitude 180 to 350 degree east. xGEOID20 models are computed using terrestrial gravity data, the latest satellite gravity model GOCO06S, altimetric gravity data DTU15, and an additional nine airborne gravity blocks of the GRAV-D project, for a total of 63 blocks. In addition, a digital elevation model in a 3” grid was produced by combining MERIT, TanDEM-X, and USGS-NED and used for the topographic/gravimetric reductions. The geoid models computed from the height anomalies (NGS) and from the Helmert-Stokes scheme (CGS) were combined using two different weighting schemes, then evaluated against the independent GPS/leveling data sets. The models perform in a very similar way, and the geoid comparisons with the most accurate Geoid Slope Validation Surveys (GSVS) from 2011, 2014 and 2017 indicate that the relative geoid accuracy could be around 1-2 cm baseline lengths up to 300 km for these GSVS lines in the United States. The xGEOID20 A/B models were selected from the combined models based on the validation results. The geoid accuracies were also estimated using the forward modeling.</p>


Author(s):  
Riccardo Barzaghi ◽  
Alberta Albertella ◽  
Daniela Carrion ◽  
Franz Barthelmes ◽  
Svetozar Petrovic ◽  
...  

2019 ◽  
Vol 11 (2) ◽  
pp. 131 ◽  
Author(s):  
Lu An ◽  
Eric Rignot ◽  
Romain Millan ◽  
Kirsty Tinto ◽  
Josh Willis

Marine-terminating glaciers dominate the evolution of the Greenland Ice Sheet (GrIS) and its contribution to sea-level rise. Widespread glacier acceleration has been linked to the warming of ocean waters around the periphery of Greenland but a lack of information on the bathymetry of the continental shelf and glacial fjords has limited our ability to understand how subsurface, warm, salty ocean waters of Atlantic origin (AW) reach the glaciers and melt them from below. Here, we employ high-resolution, airborne gravity data (AIRGrav) in combination with multibeam echo sounding (MBES) data, to infer the bathymetry of the coastal areas of Northwest Greenland for NASA’s Ocean Melting Greenland (OMG) mission. High-resolution, AIRGrav data acquired on a 2 km spacing, 150 m ground clearance, with 1.5 mGal crossover error, is inverted in three dimensions to map the bathymetry. To constrain the inversion away from MBES data, we compare two methods: one based on the Direct Current (DC) shift of the gravity field (absolute minus observed gravity) and another based on the density of the bedrock. We evaluate and compare the two methods in areas with complete MBES coverage. We find the lowest standard error in bed elevation (±60 m) using the DC shift method. When applied to the entire coast of Northwest Greenland, the three-dimensional inversion reveals a complex network of connected sea bed channels, not known previously, that provide natural and varied pathways for AW to reach the glaciers across the continental shelf. The study demonstrates that the gravity approach offers an efficient and practical alternative to extensive ship mapping in ice-filled waters to obtain information critical to understanding and modeling ice-ocean interaction along ice sheet margins.


Geophysics ◽  
1981 ◽  
Vol 46 (8) ◽  
pp. 1088-1099 ◽  
Author(s):  
Robert B. Rice ◽  
Samuel J. Allen ◽  
O. James Gant ◽  
Robert N. Hodgson ◽  
Don E. Larson ◽  
...  

Advances in exploration geophysics have continued apace during the last six years. We have entered a new era of exploration maturity which will be characterized by the extension of our technologies to their ultimate limits of precision. In gravity and magnetics, new inertial navigation systems permit the very rapid helicopter‐supported land acquisition of precise surface gravity data which is cost‐effective in regions of severe topography. Considerable effort is being expended to obtain airborne gravity data via helicopter which is of exploration quality. Significant progress has also been made in processing and interpreting potential field data. The goal of deriving the maximum amount of accurate subsurface information from seismic data has led to much more densely sampled and precise 2- and 3-D land data acquisition techniques. Land surveying accuracy has been greatly improved. The number of individually recorded detector channels has been increased dramatically (up to 1024) in order to approximate much more accurately a point‐source, point‐detector system. Much more powerful compressional‐wave vibrators can now maintain full force while sweeping up or down from 5 Hz to over 200 Hz. In marine surveying, new streamer cables and shipboard instrumentation permit the recording and limited processing of 96 to 480 channels. Improvements have also been made in marine sources and arrays. The most important developments in seismic data processing—wave‐equation based imaging and inversion methods—may be the forerunners of a totally new processing methodology. Wave‐equation methods have been formulated for migration before and after stack, multiples suppression, datum and replacement statics, velocity estimation, and seismic inversion. Inversion techniques which provide detailed acoustic‐impedance or velocity estimates have found widespread commercial application. Wavelet processing has greatly expanded our stratigraphic analysis capabilities. Much more sophisticated 1-, 2-, and 3-D modeling techniques are being used effectively to guide data acquisition and processing, as direct interpretation aids, and to teach basic interpretation concepts. Some systems can now handle vertical and lateral velocity changes, inelastic attenuation, curved reflection horizons, transitional boundaries, time‐variant waveforms, ghosting, multiples, and array‐response effects. Improved seismic display formats and the extensive use of color have been valuable in data processing, modeling, and interpretation. Stratigraphic interpretation has evolved into three major categories: (1) macrostratigraphy, where regional and basinal depositional patterns are analyzed to describe the broad geologic depositional environment; (2) qualitative stratigraphy, where specific rock units and their properties are analyzed qualitatively to delineate lithology, porosity, structural setting, and areal extent and shape; and (3) quantitative stratigraphy, where anomalies are mapped at a specific facies level to define net porosity‐feet distribution, gas‐fluid contacts, and probable pore fill. In essence, what began as direct hydrocarbon‐indicator technology applicable primarily to Upper Tertiary clastics has now matured to utility in virtually every geologic province. Considerable effort has been expended on the direct generation and recording of shear waves in an attempt to obtain more information about stratigraphy, porosity, and oil and gas saturation. Seismic service companies now offer shear‐wave prospecting using vibrator, horizontal‐impact, or explosive sources. Well logging has seen the acceleration of computerization. Wellsite tape recorders and minicomputers with relatively simple interpretation algorithms are routinely available. More sophisticated computerized interpretation methods are offered as a service at data processing centers.


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