CHAMP normal equation analysis for assessing sensitivities and parameter correlations.
Research output: Contribution to conferences › Paper › Contributed
Contributors
Abstract
We analyse a CHAMP normal equation matrix. Its eigenvalue decomposition
yields a set of uncorrelated gravity field components ordered by their estimability.
It thus provides illustrative insights into CHAMP’s sensitivity structure: The
best estimable gravity field components show meridional patterns. Near-sectorial
Stokes coefficients generally dominate over other coefficients of the same degrees.
This study may be a starting point for a number of further relevant investiga-
tions also concerning the question of an adequate parametrisation of CHAMP and
GRACE gravity field solutions.
yields a set of uncorrelated gravity field components ordered by their estimability.
It thus provides illustrative insights into CHAMP’s sensitivity structure: The
best estimable gravity field components show meridional patterns. Near-sectorial
Stokes coefficients generally dominate over other coefficients of the same degrees.
This study may be a starting point for a number of further relevant investiga-
tions also concerning the question of an adequate parametrisation of CHAMP and
GRACE gravity field solutions.
Details
Original language | English |
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Number of pages | 5 |
Publication status | Published - 2007 |
Peer-reviewed | No |
Conference
Title | Proceedings of the Joint CHAMP/GRACE Science Meeting |
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Conference number | |
Duration | 6 - 8 July 2004 |
Website | |
Location | GeoForschungsZentrum Potsdam |
City | Potsdam |
Country | Germany |
External IDs
ORCID | /0000-0001-5797-244X/work/142246497 |
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