Glacial isostatic adjustment in Fennoscandia from GRACE data and comparison with geodynamical models

Steffen, Holger; Denker, Heiner; Müller, Jürgen

doi:10.1016/j.jog.2008.03.002

Cited by 52 publications

(56 citation statements)

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“…However, it is important to consider that the selection of an adequate filter tool may also strongly depend on the final field of application of the filtered GRACE data. This was demonstrated by Steffen et al 2008 for an analysis of mass variations related to global isostatic adjustment where nonisotropic filters were considered less suitable than isotropic filtering. In a recent study tailored towards the requirements of hydrological applications, Werth et al 2008 concluded that optimum filter types and parameters vary from river basin to river basin, depending on its geographical location, its shape, and the characteristics of the hydrological signals in and around the basin of interest.…”

Section: Grace Data Of Continental Water Storage Changementioning

confidence: 99%

Improvement of Global Hydrological Models Using GRACE Data

2008

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After about six years of GRACE (Gravity Recovery and Climate Experiment) satellite mission operation, an unprecedented global data set on the spatio-temporal variations of the Earth's water storage is available. The data allow for a better understanding of the water cycle at the global scale and for large river basins. This review summarizes the experiences that have been made when comparing GRACE data with simulation results of global hydrological models and it points out the prerequisites and perspectives for model improvements by combination with GRACE data. When evaluated qualitatively at the global scale, water storage variations on the continents from GRACE agreed reasonably well with model predictions in terms of their general seasonal dynamics and continental-scale spatial patterns.Differences in amplitudes and phases of water storage dynamics revealed in more detailed analyses were mainly attributed to deficiencies in the meteorological model forcing data, to missing water storage compartments in the model, but also to limitations and errors of the GRACE data. Studies that transformed previously identified model deficiencies into adequate modifications of the model structure or parameters are still rare. Prerequisites for a comprehensive improvement of large-scale hydrological models are in particular the consistency of GRACE observation and model variables in terms of filtering, reliable error estimates, and a full assessment of the water balance. Using improvements in GRACE processing techniques, complementary observation data, multi-model evaluations and advanced methods of multi-objective calibration and data assimilation, considerable progress in large-scale hydrological modelling by integration of GRACE data can be expected.

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Section: Grace Data Of Continental Water Storage Changementioning

confidence: 99%

Improvement of Global Hydrological Models Using GRACE Data

2008

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“…Regarding the extraction of the signal to be investigated from the GRACE monthly fields, the applied filter techniques cause a significant effect (Steffen et al, 2008 (Jekeli, 1981) has a similar behavior like the Gaussian, but with larger smoothing of lower degrees and less smoothing for higher degrees of the signal. ing the different filter techniques it is possible to analyse the tradeoff between the resolution, which depends on the chosen filter radius, and the uncertainty in the resulting average, but these relative performances in the sense of the Backus-Gilbert inverse theory (Backus and Gilbert, 1970) are not addressed in this paper.…”

Section: Filter Techniquesmentioning

confidence: 99%

“…Previous studies showed that significant temporal gravity field variations can be recovered from the GRACE monthly solutions, provided that adequate filters are employed (see e. g. Chambers et al, 2007;Crowley et al, 2007;Morison et al, 2007;Niu et al, 2007;Rangelova et al, 2007;Swenson and Wahr, 2007;Tamisiea et al, 2007;Barletta et al, 2008;Rangelova and Sideris, 2008;Steffen et al, 2008Steffen et al, , 2009avan der Wal et al, 2008). Independent studies focusing on a specific region of interest, however, resulted in different estimations of mass variations.…”

Section: Introductionmentioning

confidence: 99%

Significance of secular trends of mass variations determined from GRACE solutions

Steffen

Petrović

Müller

et al. 2009

Journal of Geodynamics

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Since 2002 the Earth's gravity field is globally observed by the Gravity Recovery and Climate Experiment (GRACE) satellite mission. The GRACE monthly gravity field solutions, available from several analysis centres, reflect mass variations in the atmosphere, hydrosphere and geosphere. Due to correlated noise contained in these solutions, it is, however, first necessary to apply an appropriate filtering technique. The resulting, smoothed time attempted. The differences among the trends resulting from different models illustrate that the state-of-the art hydrology models are not suitable for this purpose as yet. Consequently, taking the GRACE monthly gravity field solutions from one centre, choosing a single filter and applying an insufficiently reliable reduction model leads sometimes to a misinterpretation of considered geophysical processes. Therefore, one has to be cautious with the final interpretation of the results.

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“…Finally, the influence on gravity rates is also investigated (Fig. 6), as gravity rates derived from the GRACE satellite mission constrain GIA in Scandinavia (Steffen et al, 2008;van der Wal et al, 2011) and the Barents Sea (Root et al, 2015a). For a comparison with GRACE data, a maximum spherical harmonic degree of 60 is used in the GIA model, which is the same truncation used in many GRACE studies.…”

Section: Resultsmentioning

confidence: 99%

The effect of sediment loading in Fennoscandia and the Barents Sea during the last glacial cycle on glacial isostatic adjustment observations

Wal

IJpelaar²

2017

Solid Earth

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Abstract. Models for glacial isostatic adjustment (GIA) routinely include the effects of meltwater redistribution and changes in topography and coastlines. Since the sediment transport related to the dynamics of ice sheets may be comparable to that of sea level rise in terms of surface pressure, the loading effect of sediment deposition could cause measurable ongoing viscous readjustment. Here, we study the loading effect of glacially induced sediment redistribution (GISR) related to the Weichselian ice sheet in Fennoscandia and the Barents Sea. The surface loading effect and its effect on the gravitational potential is modeled by including changes in sediment thickness in the sea level equation following the method of Dalca et al. (2013). Sediment displacement estimates are estimated in two different ways: (i) from a compilation of studies on local features (trough mouth fans, large-scale failures, and basin flux) and (ii) from output of a coupled ice-sediment model. To account for uncertainty in Earth's rheology, three viscosity profiles are used.It is found that sediment transport can lead to changes in relative sea level of up to 2 m in the last 6000 years and larger effects occurring earlier in the deglaciation. This magnitude is below the error level of most of the relative sea level data because those data are sparse and errors increase with length of time before present. The effect on present-day uplift rates reaches a few tenths of millimeters per year in large parts of Norway and Sweden, which is around the measurement error of long-term GNSS (global navigation satellite system) monitoring networks. The maximum effect on present-day gravity rates as measured by the GRACE (Gravity Recovery and Climate Experiment) satellite mission is up to tenths of microgal per year, which is larger than the measurement error but below other error sources. Since GISR causes systematic uplift in most of mainland Scandinavia, including GISR in GIA models would improve the interpretation of GNSS and GRACE observations there.

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Glacial isostatic adjustment in Fennoscandia from GRACE data and comparison with geodynamical models

Cited by 52 publications

References 50 publications

Improvement of Global Hydrological Models Using GRACE Data

Improvement of Global Hydrological Models Using GRACE Data

Significance of secular trends of mass variations determined from GRACE solutions

The effect of sediment loading in Fennoscandia and the Barents Sea during the last glacial cycle on glacial isostatic adjustment observations

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