2002
DOI: 10.1179/sre.2002.36.285.474
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Evaluation of Ultra-High Degree Geopotential Models in Australia

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Cited by 2 publications
(2 citation statements)
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“…The statistical parameters considered in this work are the mean, the standard deviation of the differences between the geopotential models and tested data, and the smoothed covariance function necessary for all estimations by collocation technique. The most informative of these statistics is the standard deviation, because the mean of the differences is distorted by the exclusion of the zeroorder term (Zhang and Featherstone, 1995). The result obtained for the geopotential model comparison has showed that the OSU91A model fits best the BGI gravity data in Algeria (Benahmed Daho and Kahlouche, 2000).…”
Section: Geopotential Modelmentioning
confidence: 99%
“…The statistical parameters considered in this work are the mean, the standard deviation of the differences between the geopotential models and tested data, and the smoothed covariance function necessary for all estimations by collocation technique. The most informative of these statistics is the standard deviation, because the mean of the differences is distorted by the exclusion of the zeroorder term (Zhang and Featherstone, 1995). The result obtained for the geopotential model comparison has showed that the OSU91A model fits best the BGI gravity data in Algeria (Benahmed Daho and Kahlouche, 2000).…”
Section: Geopotential Modelmentioning
confidence: 99%
“…33 Whilst old geopotential models derived up to degree and order 70 can resolve spatial features (geoid computation) at a half wavelength of about 290 km, models (particularly the most recent) computed up to degree and order 360 can resolve spatial features down to 55 km. 34 Early evaluations of gravity field models by Zhang and Featherstone 35 reported that the OSU91A geopotential model provided better fits to the gravity field over the Australian region than did prior models.…”
Section: Improvements In Gravity Field Modelsmentioning
confidence: 99%