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Signal versus noise in glaciological GPS time series

Lookup NU author(s): Professor Matt King


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Noise characteristics of geodetic GPS time series have received significant attention over recent years. However, because of the different behaviour of glaciers/ice streams/ice shelves, and the generally shorter GPS time series, understanding the noise spectrum of glaciological GPS time series warrants separate investigation. It has been previously shown that incorrectly processed GPS data may result in spurious ice movement time series that would adversely impact correct interpretation of forcing mechanisms. To understand the noise characteristics of correctly (kinematically) processed GPS time series, I examine the frequency spectrum of GPS time series processed on rock and on ice with the aim of distinguishing between GPS systematic errors at sub-daily frequencies (periods between 24h and the Nyquist Frequency) and real ice movement. The magnitude of GPS systematic errors at these frequencies is particularly important for robust interpretation of tidally-modulated ice movement data. Results of two different processing strategies (relative and precise point positioning) are compared. Furthermore, I test a sidereal filtering approach in an attempt to reduce the effects of GPS multipath signals, thereby improving glacier velocity estimates from short GPS time series.

Publication metadata

Author(s): King MA

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Eos Transactions: Fall Meeting

Year of Conference: 2006

Pages: Abstract C51C-01 Invited

Publisher: American Geophysical Union