Using the Fetch 3D interpolation models
for high fidelity gravity fields

 

The method uses Junkins weighting functions to achieve global continuity and smoothness to high order. It uses a new adaptive polynomial selection technique to optimize the memory footprint. The GRACE 360x360 GGM03C spherical harmonics model is fit using the new method. Several truncated versions are also fit. The models, memory footprint, and expected typical speedups over spherical harmonics for typical low altitude applications are given below:

Fetch Model

Resolution

Memory (MB)

Speedup over SH

F399m33v1

33x33

~121

~8

F399m70v1

70x70

~360

~25

F399m156v1

156x156

~898

~200

F399m360v1

360x360

~2360

~3000

 

Details are given in the following paper:

Arora, N., Russell, R.P., Efficient Interpolation of the GRACE GGM03C Gravity Model, Paper AAS 13-321, Kauai, HA, Feb 2013.

Arora, N., Russell, R.P., Efficient Interpolation of High-Fidelity Geopotentials, Journal of Guidance, Control, and Dynamics, DOI 10.2514/1.G001291. (online first Oct. 2015)

 

 

The coefficients for the archived Fetch models and the runtime evaluation libraries in Fortran can be found here: link

 

 

Fetch: 3D Interpolation Model

WELCOME!

 

Last updated:
December 5, 2016

 

 

Orbital Mechanics Discipline Area

research group of:
Ryan P. Russell

Associate Professor, Ph.D

ryan.russell@utexas.edu

 


Department of Aerospace Engineering and Engineering Mechanics