HR: 08:40h
AN: G21B-03 [Abstracts]
TI: Improving reference frame stability by modelling common modes of surface displacements using Empirical
Orthogonal Functions
AU: Haakonsen, T A
EM: trond.haakonsen@ntnu.no
AF: Norwegian Mapping Authority, Kartverksveien 21, Honefoss, 3511
Norway
AU: * Plag, H
EM: hpplag@unr.edu
AF: Nevada Bureau of Mines and Geology, and Seismological Laboratory, University of Nevada, Reno,
Mailstop 178, Reno, NV 89557
United States
AU: Kierulf, H P
EM: halfdan.kierulf@statkart.no
AF: Norwegian Mapping Authority, Kartverksveien 21, Honefoss, 3511
Norway
AU: Blewitt, G
EM: gblewitt@unr.edu
AF: Nevada Bureau of Mines and Geology, and Seismological Laboratory, University of Nevada, Reno,
Mailstop 178, Reno, NV 89557
United States
AB:
For a number of scientific and non-scientific applications,
monitoring of point motion with respect to a regional or global reference frame is fundamental. Applications include but are
not limited to tectonic plate motion, displacements of the Earth surface due to atmospheric, hydrological and cryospheric
loading, sea level variations, natural and
man-made land subsidence, and stability of large infrastructure. The geodetic tool most widely used today
for this is GPS, either in campaign mode where points
are re-visited episodically, or with continuous GPS (CGPS) stations operated over a long time. Time series of point
coordinates derived from GPS observations are affected by a number of perturbations due to reference frame instabilities,
atmospheric and ionospheric mismodelling, orbital errors, unaccounted point displacements due to local to regional
processes, and local processes at the GPS site. These perturbation result in actual and apparent point motions on widely
varying spatial and temporal scales, which may mask the signals actually sought for in a particular application.
The spatially coherent common modes in the 3-D displacement fields observed by regional CGPS networks (with examples from
Europe and the Basin and Range Province, USA)
are determined with the help of a Principal Component
Analysis (PCA) leading to Empirical Orthogonal Functions (EOF). The main common modes are used to create a regional and local
displacement field, respectively, which can be used to decontaminate GPS determined point coordinates for these larger scale
displacement. This new methodology is
compared to standard approaches of spatial filtering that use simple averaging [Wdowinski et al., 1997].
The common modes also allow to identify the contribution of different forcing factors to the observed displacements of the
solid Earth's surface in order to separate unaccounted point displacement from other effect. As an example,
the common modes due to atmospheric pressure loading are identified and quantitatively
assessed.
DE: 1229 Reference systems
DE: 1243 Space geodetic surveys
DE: 1247 Terrestrial reference systems
SC: Geodesy [G]
MN: 2004 AGU Fall Meeting