Articles | Volume 16, issue 1
https://doi.org/10.5194/tc-16-219-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-219-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jan 2022
Research article |
| 21 Jan 2022
| 21 Jan 2022
Proper orthogonal decomposition of ice velocity identifies drivers of flow variability at Sermeq Kujalleq (Jakobshavn Isbræ)
School of Environmental Sciences, University of Liverpool, Liverpool, L69 7ZT, UK
Douglas W. F. Mair
School of Environmental Sciences, University of Liverpool, Liverpool, L69 7ZT, UK
Jonathan E. Higham
School of Environmental Sciences, University of Liverpool, Liverpool, L69 7ZT, UK
Stephen Brough
School of Environmental Sciences, University of Liverpool, Liverpool, L69 7ZT, UK
James M. Lea
School of Environmental Sciences, University of Liverpool, Liverpool, L69 7ZT, UK
Isabel J. Nias
School of Environmental Sciences, University of Liverpool, Liverpool, L69 7ZT, UK
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Short summary
In this paper we explore the use of a transferrable and flexible statistical technique to try and untangle the multiple influences on marine-terminating glacier dynamics, as measured from space. We decompose a satellite-derived ice velocity record into ranked sets of static maps and temporal coefficients. We present evidence that the approach can identify velocity variability mainly driven by changes in terminus position and velocity variation mainly driven by subglacial hydrological processes.
In this paper we explore the use of a transferrable and flexible statistical technique to try...
