A Simulation Study to Test the Prediction of One Degree by One Degree Mean Gravity Anomalies Using Least Squares Collocation from the GRANSAT Mission

A Simulation Study to Test the Prediction of One Degree by One Degree Mean Gravity Anomalies Using Least Squares Collocation from the GRANSAT Mission PDF Author: U.S. Air Force Geophysics Laboratory
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Languages : en
Pages :

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A Simulation Study to Test the Prediction of One Degree by One Degree Mean Gravity Anomalies Using Least Squares Collocation from the GRANSAT Mission

A Simulation Study to Test the Prediction of One Degree by One Degree Mean Gravity Anomalies Using Least Squares Collocation from the GRANSAT Mission PDF Author: U.S. Air Force Geophysics Laboratory
Publisher:
ISBN:
Category :
Languages : en
Pages :

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A Simulation Study to Test the Prediction of 1° X 1° Mean Gravity Anomalies Using Least Squares Collocation from the Gravsat Mission

A Simulation Study to Test the Prediction of 1° X 1° Mean Gravity Anomalies Using Least Squares Collocation from the Gravsat Mission PDF Author: D. P. Hajela
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ISBN:
Category : Gravity anomalies
Languages : en
Pages : 52

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A Simulation Study to Test the Prediction of 1 Deg X 1 Deg Mean Gravity Anomalies Using Least Squares Collocation from the GRAVSAT Mission

A Simulation Study to Test the Prediction of 1 Deg X 1 Deg Mean Gravity Anomalies Using Least Squares Collocation from the GRAVSAT Mission PDF Author:
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ISBN:
Category :
Languages : en
Pages : 62

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The purpose of this simulation study was to test the accuracy of prediction of mean gravity anomalies from the GRAVSAT mission, to establish the resolution achievable in terms of anomaly block size, and to draw conclusions for the data requirement for economical processing in terms of computer time. It was found that though the estimates of the formal standard deviation of the predicted 1 deg anomalies were reduced with the increase in size of the data cap, and with the increase in the density of data inside the cap, there was little improvement in the predicted value of 1 deg anomalies by least squares collocation technique. Besides, there was a large increase in the computer time required for the processing of the increased data.

A Simulation Study to Test the Prediction of 10 X 10 Mean Gravity Anomalies Using Least Squares Collocation from the Gravsat Mission

A Simulation Study to Test the Prediction of 10 X 10 Mean Gravity Anomalies Using Least Squares Collocation from the Gravsat Mission PDF Author: Dhaneshwar Prasad Hajela
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ISBN:
Category :
Languages : en
Pages : 52

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Gravity Anomaly Recovery from Satellite Altimetry Data Using Least Squares Collocation Techniques

Gravity Anomaly Recovery from Satellite Altimetry Data Using Least Squares Collocation Techniques PDF Author: Richard H. Rapp
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ISBN:
Category :
Languages : en
Pages : 25

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The prediction of mean gravity anomalies from other anomalies and satellite altimeter data is described using the technique of least squares collocation. The equations derived are then used in simulation studies, using altimeter data alone, to estimate the accuracy to which mean gravity anomalies can be determined with respect to an ellipsoidal reference field and a degree 12 reference field.

Global Geoid and Gravity Anomaly Predictions Using the Collocation and Point Mass Techniques

Global Geoid and Gravity Anomaly Predictions Using the Collocation and Point Mass Techniques PDF Author: Robert P. Bessette
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Category : Altitudes
Languages : en
Pages : 28

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We previously described (14,14) spherical-harmonic global adjustments of satellite altimetry using the AFGL short-arc technique supplemented with point masses to allow incorporation of short-wavelength geoidal detail. Recently, we have also investigated another technique to enhance short-wavelength detail: least squares collocation with noise. Both methods provide a means to determine a high resolution gravity field on a local, regional or global scale. Statistical comparisons of these two methods have been made in selected areas and the results tabulated.

Mean Gravity Anomaly Prediction from Terrestrial Gravity Data and Satellite Altimeter Data

Mean Gravity Anomaly Prediction from Terrestrial Gravity Data and Satellite Altimeter Data PDF Author: Glenn N. Smith
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Category : Altimeter
Languages : en
Pages : 151

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This paper examines the application of the statistical prediction concept to the prediction of useful mean gravity anomalies from actual existing gravity data. The primary method of estimation is the least squares prediction procedure of Moritz. Mathematical derivation of the prediction equations and explanation of the notation system are given and prediction equations are applied to the prediction of mean gravity anomalies of 1 degrees and 5 degrees near equal-area blocks.

On Gravity Prediction Using Mean Anomalies

On Gravity Prediction Using Mean Anomalies PDF Author: Erwin Groten
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Category : Gravity
Languages : en
Pages : 30

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The efficiency of prediction of mean gravity anomalies for areas of 1 degree x 1 degree, 2 degree x 2 degree, 5 degree x 5 degree, and 10 degree x 10 degree from known mean anomalies is studied. The least standard prediction error is found to be about 1/2 (var) 1/2 where var is the variance of mean anomalies. The influence of the nearest neighbors is prevailing. The prediction from many known anomalies is about the same as from only a few known values. (Author).

Local Geoid and Gravity Anomaly Predictions Using Point Masses

Local Geoid and Gravity Anomaly Predictions Using Point Masses PDF Author: Georges Blaha
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Category : Earth (Planet)
Languages : en
Pages : 24

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Prediction of Geodial Heights from Gravity Anomalies Using the Method of Least-squares Collocation

Prediction of Geodial Heights from Gravity Anomalies Using the Method of Least-squares Collocation PDF Author: Ramon Misho
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ISBN:
Category :
Languages : en
Pages : 92

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