The European Space Agency’s dedicated satellite gravity field mission the Gravity Field and Steady-state Ocean Circulation Explorer (GOCE) is planned to achieve 1-2 cm accuracy level for geoid undulation and at 1-2 mGal level for gravity...
moreThe European Space Agency’s dedicated satellite gravity field mission the Gravity Field and Steady-state Ocean Circulation Explorer (GOCE) is planned to achieve 1-2 cm accuracy level for geoid undulation and at 1-2 mGal level for gravity anomalies down to a spatial resolution of 100 km. This thesis attempts to answer the question: What is the accuracy of GOCE satellite-only global geopotential models in Egypt? The main research objectives that were investigated in order to answer this question are included in two steps: First, the four generations of GOCE models are assessed by using GPS/levelling stations, ground gravity anomalies data and the geoid model for Egypt (EGGM08). Secondly, the best GGM model in the previous assessment is complemented with local terrestrial gravity data to create a local gravimetric geoid, then it is tested against the GPS/leveling and the geoid model for Egypt EGGM08.
The main problem with such assessments is the different spectral content of the GGMs and terrestrial observations. Because the spatial resolution of GGMs is limited by their maximum degree, there is always an omission error in the GGM-derived functional. In contrast, terrestrial observations contain the full spectral signal. To overcome the problem of different spectral content, the Spectral Enhancement Method SEM was applied. In the SEM, the spectral gap between the GOCE-GGMs and the terrestrial observations is bridged partially by a combination of the high-degree spectral bands of EGM2008, and omission error estimates sourced from RTM (Residual Terrain Model) data, providing information on the very-short wave length gravity field constituents. To compute RTM omission error estimates, the RTM was constructed as the difference between the 30 arc second Shuttle Radar Topography Mission (SRTM) elevation model and the spherical harmonic expansion of the DTM2006.0 elevation data base, expanded to degree 2,160. Subtraction of DTM2006.0 spherical harmonic elevations from the SRTM elevations removes a large part of the ‘spectral information’ already implied by EGM2008 (expanded to degree 2,190).
The available point gravity anomalies data set consists of 991 stations. The date of these observations and their accuracy vary greatly between the most recent Egyptian National Gravity Standardization Network of 1997 (ENGSN97) that was established by the Survey Research Institute (136 stations) and older gravity surveys (855 stations) carried out by many private organizations several decades ago. The accuracy of ENGSN97 gravity values are 0.022 mGal, while the accuracy estimate for older gravity data are 0.5 mGal on average. The number and distribution of the free-air gravity anomaly stations are very poor, concentrated mainly along the Nile valley and a lot of areas are empty. The statistics of gravity anomalies difference between the GGMs and ground gravity stations after applying the Spectral
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Enhancement Method (SEM) give good agreement in Egypt. The best model shows differences range between -41.61 mGal and 41.65 mGal with an average of 0.63 mGal and a standard deviation of about 12.59 mGal. After performing topographic – isostatic reduction, worse results were obtained. All models are also giving non – centered anomalies, due to the lack data in most of Egypt and the best model shows differences range between -76.18 mGal and 67.45 mGal with an average of -23.01 mGal and a standard deviation of about 21.45 mGal.
The GPS/ leveling data set belongs to the High Accuracy Reference Network (HARN), which furnishes the national Egyptian GPS datum established by the Egyptian Survey Authority (ESA) in 1995. The precision of the HARN network is 0.1 part per million (ppm), which can be written in another form as 1: 10,000,000. Although the HARN network consists of 30 stations, only those 17 points have first order levels. The precision of geoid undulations at these stations may be estimated as 1 cm or better. The distribution of the GPS/ leveling data used in the assessment (17 stations) is not good, a lot of areas are empty and the total is too small in relation to Egypt’s surface area. The differences between the Global Geopotential Models (GGMs) and GPS/levelling stations show incompatible geoid undulation in Egypt. Large difference were obtained, in the Western desert. The best model shows differences range between -1.65 m and 0.06 m with an average of -0.66 m and a standard deviation of about 0.39 m.
The Gravimetric geoid for Egypt have been computed in this thesis using DIR 1 geopotential model in the frame work of remove – restore technique by using Meissl's modified stocke's kernel. The computation were based on 991 land free –air gravity anomaly stations. Airy Heiskanen isostatic model was used to reduce the gravity anomaly. The computed geoid have been fitted to GPS – derived geoid by removing a trend surfaces. A kriging trend function has been computed using only 16 GPS/ leveling stations .The internal precision of the fitted geoid is very good (about 1 cm). The external geoid accuracy at the 3 GPS / leveling stations which were not used for the geoid fitting is 0.58 m (RMS).