WG3 Leader: Simon Williams

WG3- Noise characteristics of station coordinate time series/velocities: the objective of this group is associated with Task 3. That is, it will focus on the analysis of individual solution noise characteristics and propagate these to final velocity estimates at sites of relevance to GIA modelling. In particular, the following will be considered:

• Dominant noise type by observation technique

• Time-to-solution assessment (i.e., how much data for a given uncertainty)

• Large-scale (hemispheric) variations in noise types

• Monument-type and geology-type analyses

• Cross-validation of noise "products" using different algorithms (i.e., Maximum Likelihood Estimation vs Allan Variance)

Detection of Offsets in GPS timeseries Experiment (DOGEx)

Download the compressed file DOGEx_v1.tar.gz

DOGEx is a community experiment launched at EGU 2010 in order to test automated offset detection algorithms against a known truth in the presence of realistic timeseries signal, noise, offset frequency and gaps. It has a similar philosophy to the Southern California Earthquake Center (SCEC) Transient Detection Exercise, but focuses on offsets not detection of anomalous strain transients, and has developed independently (and ignorantly) of it.

The experiment is being run jointly by Matt King (Newcastle University, Newcastle upon Tyne, UK; This e-mail address is being protected from spambots. You need JavaScript enabled to view it ) and Simon Williams (Proudman Oceanographic Laboratory, Liverpool, UK; This e-mail address is being protected from spambots. You need JavaScript enabled to view it ). Working Group 3 of COST Action ES0701 "Improved Constraints on Models of Glacial Isostatic Adjustment" is sponsoring this experiment.

General Principles

DOGEx is a one-way blind experiment in that the actual offset times and magnitudes are not released with the site timeseries. The data set we supply is a time series of daily NEU coordinates and the formal errors for 50 "sites". These sites are simulated although based on real signal, noise, offset frequency and gaps duration. Users interested in testing offset detection techniques are invited to submit their solutions in the format given in the README in the data file (via link above). At regular intervals we will update the community on success rates (EGU, AGU, IGS Workshops etc.). We will work with the authors of the most succesful techniques as and when publication is warranted. The experiment will run until there is no longer need for it.

Participation

If you are willing to participate, please email This e-mail address is being protected from spambots. You need JavaScript enabled to view it so we can keep you informed of updates or events. Download the DOGEx v1 file for the data and further important information, including the format for reporting results.

WG3 Membership List:

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