Reference Frames Global Continental Local -- may be self-defined

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Presentation transcript:

Reference Frames Global Continental Local -- may be self-defined Center of Mass ~ 30 mm ITRF ~ 2 mm, < 1 mm/yr Continental < 1 mm/yr horiz., 2 mm/yr vert. Local -- may be self-defined

Reference frames in Geodetic Analyses Two aspects • Theoretical (e.g., rigid block, mantle-fixed, no-net-rotation of plates) • Realization through a set of coordinates and velocities Three considerations in data processing and analysis • Consistent with GPS orbits and EOP (NNR) -- not an issue if network small or if orbits and EOP estimated • Physically meaningful frame in which to visualize site motions • Robust realization for velocities and/or time series

Velocities of Anatolia and the Aegean in a Eurasian frame Realized by minimizing the velocities of 12 sites over the whole of Eurasia McClusky et al. [2000]

Velocities in an Anatolian frame McClusky et al. [2000]

Another example: southern Balkans Pan-Eurasian realization (as in last example) Note uniformity in error ellipses, dominated by frame uncertainty

Frame realization using 8 stations in central Macedonia Note smaller error ellipses within stabilization region and larger ellipses at edges

Defining Reference Frames in GLOBK Three approaches to reference frame definition in GLOBK Finite constraints ( in globk, same as GAMIT ) Generalized constraints in 3-D ( in glorg ) Generalized constraints for horizontal blocks (‘plate’ feature of glorg) Reference frame for time series More sensitive than velocity solution to changes in sites Initially use same reference sites as velocity solution Final time series should use (almost) all sites for stabilization

Frame definition with finite constraints Applied in globk (glorg not called) apr_file itrf05.apr apr_neu all 10 10 10 1 1 1 apr_neu algo .005 005 .010 .001 .001 .003 apr_neu pie1 .002 005 .010 .001 .001 .003 apr_neu drao .005 005 .010 .002 .002 .005 … • Most useful when only one or two reference sites • Disadvantage for large networks is that bad a priori coordinates or bad data from a reference site can distort the network

Frame definition with generalized constraints Applied in glorg: minimize residuals of reference sites while estimating translation, rotation, and/or scale (3 -7 parameters) apr_file itrf05.apr pos_org xtran ytran ztran xrot yrot zrot stab_site algo pie1 drao … cnd_hgtv 10 10 0.8 3. • All reference coordinates free to adjust (anomalies more apparent); outliers can be automatically removed • Network can translate and rotate but not distort • Works best with strong redundancy (number and [if rotation] geometry of coordinates exceeds number of parameters estimated) • Can downweight heights if suspect

Referencing to a horizontal block (‘plate’) Applied in glorg: first stabilize in the usual way with respect to a reference set of coordinates and velocities (e.g. ITRF-NNR), then define one or more ‘rigid’ blocks apr_file itrf05.apr pos_org xtran ytran ztran xrot yrot zrot stab_site algo pie1 nlib drao gold sni1 mkea chat cnd_hgtv 10 10 0.8 3. plate noam algo pie1 nlib plate pcfc sni1 mkea chat After stabilization, glorg will estimate a rotation vector (‘Euler pole’) for each plate with respect to the frame of the full stabilization set. Use sh_org2vel to extract the velocities of all sites with respect to each plate

Rules for Stabilization of Time Series • Small-extent network: translation-only in glorg, must constrain EOP in globk • Large-extent network: translation+rotation, must keep EOP loose in globk; if scale estimated in glorg, must estimate scale in globk • 1st pass for editing: - “Adequate” stab_site list of stations with accurate a priori coordinates and velocities and available most days - Keep in mind deficiencies in the list • Final pass for presentation / assessment / statistics - Robust stab_site list of all/most stations in network, with coordinates and velocities determined from the final velocity solution

Spatial filtering of Time Series Reference Frames in Time Series Spatial filtering of Time Series Example from southwest China Stabilization with respect to a pan-Eurasia station set Stabilization with respect to a SW-China station set: spatially correlated noise reduced; this time series best represents the uncertainties in the velocity solution

.. Same two solutions, East component Eurasia stabilization SW-China stabilization 1993: noise spatially correlated 1994: noise local

Stabilization Challenges for Time Series Network too wide to estimate translation-only, but reference sites too few or poorly distributed to estimate rotation robustly

Stabilization Challenges for Time Series translation+rotation; heights unweighted “Adequate” stab_site list Day 176: ALGO PIE1 DRAO WILL ALBH NANO rms 1.5 mm Day 177 ALGO NLIB CHUR PIE1 YELL DRAO WILL ALBH NANO rms 2.3 mm Inadequate stab_site list Day 176: BRMU PIE1 WILL rms 0.4 mm Day 177 BRMU ALGO NLIB PIE1 YELL WILL rms 2.0 mm ^ ^ ^ ^ ^ ^ ^ ^

Include global h-files … or not ? Advantages • Access to a large number of sites for frame definition • Can (should) allow adjustment to orbits and EOP • Eases computational burden Disadvantages • Must use (mostly) the same models as the global processing • Orbits implied by the global data worse than IGSF • Some bad data may be included in global h-files (can remove) • Greater data storage burden

Guidelines for Realizing the Reference Frame ”Large” Regional Networks ( > 100-500 km ?) Either GAMIT processing in BASELINE mode with > 8 IGS/ITRF sites glorg translation+rotation stabilization with at least 8 well-distributed ITRF sites or GAMIT processing in RELAX mode with 2-4 IGS sites in common with global h-files (select sites for availability and quality, not accuracy of velocities) globk to combine your h-file with global h-files from MIT or SOPAC (use all igs[1-5] ) - reprocessed files much better than original and compatible with current models - MIT has 300 sites, SIO igs 200, but need to “use” only tie and stabilization sites glorg trans+rotation stabilization with 10-50 IGS sites (not necessarily including the tie sites) “Small” Regional Networks ( < ~ 100-500 km ?) GAMIT processing in BASELINE mode with > 5 IGS/ITRF sites glorg translation stabilization with at least 5 ITRF sites