[unav_all] DOGEx: Detections of Offsets in GPS time series Experiment [update]

[Matt King]

Author: Matt King and Simon Williams


This email is an update on the previously announced community experiment DOGEx (please note the web link to the dataset has been updated - see below). A number of groups are now working on the dataset and we have shown updated results at IUGG in Melbourne. The IUGG poster may be seen at ftp://stella.ncl.ac.uk/pub/matt/DOGEx_IUGG.pdf

If you would like to participate in the experiment, then please see the email below.

** Please also note, we are now welcoming in a separate category *non-automated* solutions of the same dataset - that is, ones performed by an expert user. 

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DOGEx is designed to test automated offset detection algorithms and expert users against a known truth in the presence of realistic GPS timeseries signal, noise, offset frequency and gaps. 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 simulated time series of daily NEU coordinates and the formal errors for 50 "sites".

The experiment is being run jointly by Matt King (Newcastle University, Newcastle upon Tyne, UK; m.a.king at ncl.ac.uk) and Simon Williams (National Oceanography Centre, Liverpool, UK; sdwil at pol.ac.uk).

The data set and further information may be found at http://www.cost-es0701.geoenvi.org/working-groups/working-group-3
		
We look forward to hearing from you with solutions! Please circulate this email to other interested colleagues.


Matt King                                    
Reader in Polar Geodesy & RCUK Academic Fellow                         
School of Civil Engineering and Geosciences  Email: m.a.king at ncl.ac.uk
Cassie Building            Ph:    0191 222 7833 Int: + 44 191 222 7833       
Newcastle University       Fax:   0191 222 6502 Int: + 44 191 222 6502                         
Newcastle upon Tyne        Web:   http://www.staff.ncl.ac.uk/m.a.king/
United Kingdom, NE1 7RU           http://www.ceg.ncl.ac.uk/profiles2/m.a.king