GRACE-derived linear and non-linear secular mass variations over Greenland

In the past, GRACE (Gravity Recovery and Climate Experiment) monthly gravity field solutions have mainly been exploited to derive secular and seasonal mass changes on the Earth’s surface. After seven years in operational mode, the satellite mission makes accelerated and decelerated mass variations d...

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Main Authors: Baur, O., Kuhn, Michael, Featherstone, Will
Other Authors: Sneeuw, N.
Format: Conference Paper
Published: Springer 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/23733
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author Baur, O.
Kuhn, Michael
Featherstone, Will
author2 Sneeuw, N.
author_facet Sneeuw, N.
Baur, O.
Kuhn, Michael
Featherstone, Will
author_sort Baur, O.
building Curtin Institutional Repository
collection Online Access
description In the past, GRACE (Gravity Recovery and Climate Experiment) monthly gravity field solutions have mainly been exploited to derive secular and seasonal mass changes on the Earth’s surface. After seven years in operational mode, the satellite mission makes accelerated and decelerated mass variations detectable. Here we investigate the temporal characteristics of secular trends by fitting both linear and higher-order polynomials to the mass-change time-series. Our findings have been derived from GRACE gravity field time-series provided by CSR, GFZ and JPL. As a case study, we look at recent ice-mass variations over Greenland. Based on various model selection criteria (Akaike and Bayesian information criterion, cross-validation, hypotheses testing), our investigations show that linear regression is unable to describe recent deglaciation. Instead, the secular trend is best represented by a secondorder polynomial, confirming accelerated deglaciation of the Greenland ice sheets, which increased by 250% between April 2002 and March 2009.
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spelling curtin-20.500.11937-237332023-02-02T07:57:40Z GRACE-derived linear and non-linear secular mass variations over Greenland Baur, O. Kuhn, Michael Featherstone, Will Sneeuw, N. Novák, P. Crespi, M. Sansò, F. time-series information criteria trend estimation ice-mass balance Satellite gravimetry In the past, GRACE (Gravity Recovery and Climate Experiment) monthly gravity field solutions have mainly been exploited to derive secular and seasonal mass changes on the Earth’s surface. After seven years in operational mode, the satellite mission makes accelerated and decelerated mass variations detectable. Here we investigate the temporal characteristics of secular trends by fitting both linear and higher-order polynomials to the mass-change time-series. Our findings have been derived from GRACE gravity field time-series provided by CSR, GFZ and JPL. As a case study, we look at recent ice-mass variations over Greenland. Based on various model selection criteria (Akaike and Bayesian information criterion, cross-validation, hypotheses testing), our investigations show that linear regression is unable to describe recent deglaciation. Instead, the secular trend is best represented by a secondorder polynomial, confirming accelerated deglaciation of the Greenland ice sheets, which increased by 250% between April 2002 and March 2009. 2012 Conference Paper http://hdl.handle.net/20.500.11937/23733 Springer restricted
spellingShingle time-series
information criteria
trend estimation
ice-mass balance
Satellite gravimetry
Baur, O.
Kuhn, Michael
Featherstone, Will
GRACE-derived linear and non-linear secular mass variations over Greenland
title GRACE-derived linear and non-linear secular mass variations over Greenland
title_full GRACE-derived linear and non-linear secular mass variations over Greenland
title_fullStr GRACE-derived linear and non-linear secular mass variations over Greenland
title_full_unstemmed GRACE-derived linear and non-linear secular mass variations over Greenland
title_short GRACE-derived linear and non-linear secular mass variations over Greenland
title_sort grace-derived linear and non-linear secular mass variations over greenland
topic time-series
information criteria
trend estimation
ice-mass balance
Satellite gravimetry
url http://hdl.handle.net/20.500.11937/23733