GIA Requirements for Future Gravity Satellite Missions: Implications After More Than 7 Years of GRACE Data
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1 GIA Requirements for Future Gravity Satellite Missions: Implications After More Than 7 Years of GRACE Data Holger Steffen 1, Riccardo Riva 2, Wouter van der Wal 2 & Bert Vermeersen 2 1 University of Calgary, Canada 2 DEOS, TU Delft, The Netherlands IAG-GGOS Workshop on Future Gravity Missions Graz, Austria 31/09 02/10/2009
2 Outline Introduction What is GIA? What do we know so far? Trend analysis Sources of uncertainty: Measurement errors Filtering Different processing centers Time span Hydrology Antarctica: GIA and ongoing ice mass change Summary Research contributions of GRACE Research contributions of future satellite gravity missions Recommendations for future satellite gravity missions
3 Introduction years BP years BP Today Kaufmann (2004)
4 Introduction Main regions of interest: North America and Fennoscandia Greenland and Antarctica Other, smaller affected regions in mountain ranges Available datasets: Relative sea level Absolute and relative gravimetry GPS Tide gauges GRACE
5 GIA in Fennoscandia BIFROST GPS network Absolute gravity network Max. measured uplift rate: mm/year (at Umeå) (Lidberg et al. 2007, J. Geod.) Max. gravity change: ~-2 µgal/year (Bothnian Bay) (Ekman and Mäkinen 1996, GJI) Figure courtesy of O. Gitlein
6 GIA in North America Max. gravity change: µgal/year (at Kuujjuarapik) (Pagiatakis and Salib 2003, JGR) Max. uplift rate: ~10 mm/year (near Hudson Bay) (Sella et al. 2005, GRL)
7 Measurement errors are small Calibrated standard deviations a) b) Trend estimation residuals (Wahr et al., 2004)
8 Secular trend of monthly solutions CSR GFZ JPL [µgal/ year] / / / / / /2009 ITG Correlations: CSR JPL ITG GFZ CSR JPL 02/ /2008 Fennoscandia, Gauss filter: 400 km
9 Secular trend of monthly solutions CSR GFZ JPL [µgal/ year] / / / / / /2009 ITG Correlations: CSR JPL ITG GFZ CSR JPL 02/ /2008 Fennoscandia, Destriping + Gauss filter: 400 km
10 Secular trend of monthly solutions CSR GFZ JPL 07/ / / / / /2009 ITG 01/ /2008 Correlations: CSR JPL ITG GFZ CSR JPL [µgal/ year] North America, Gauss filter: 400 km
11 Secular trend of monthly solutions CSR GFZ JPL 07/ / / / / /2009 ITG 01/ /2008 Correlations: CSR JPL ITG GFZ CSR JPL [µgal/ year] North America, Destriping + Gauss filter: 400 km
![Comparison of filter techniques isotropic Gaussian 530 km isotropic Pellinen 530 km [µgal/ year] 2.0 1.0 0-1.0 non-isotropic Gaussian 340/680 km, m1=15 (Han et al.](/docs-images/79/80229462/images/12-0.jpg "2005, GJI) correlated error filter (Swenson & Wahr 2006, GRL) -2.0 non-isotropic decorrelation filter DDK1 (Kusche et al. 2009, J. Geod.")
12 Comparison of filter techniques isotropic Gaussian 530 km isotropic Pellinen 530 km [µgal/ year] non-isotropic Gaussian 340/680 km, m1=15 (Han et al. 2005, GJI) correlated error filter (Swenson & Wahr 2006, GRL) -2.0 non-isotropic decorrelation filter DDK1 (Kusche et al. 2009, J. Geod.) Other filters: Optimized variance-dependent smoothing (Chen et al. 2006, JGR) Wiener filter (Sasgen et al. 2006, Stud. Geophys. Geod.) EOF filter (Wouters and Schrama 2007, GRL) Statistical filter (Davis et al. 2008, JGR) ANS filter (Klees et al. 2008, GJI) GFZ solution (02/ /2008)
13 Effect of different time spans [µgal/ year] / /2006 GFZ solution, Gauss filter: 400 km
14 Effect of different time spans [µgal/ year] / / / /2006 GFZ solution, Gauss filter: 400 km
15 Effect of different time spans [µgal/ year] / / / /2006 GFZ solution, Gauss filter: 400 km
16 Effect of different time spans [µgal/ year] / / / /2006 GFZ solution, Gauss filter: 400 km
17 Effect of different time spans [µgal/ year] / / / /2006 GFZ solution, Gauss filter: 400 km
![Effect of different time spans [µgal/ year] 1.5 1.0 0.5 0-0.5-1.](/docs-images/79/80229462/images/18-0.jpg "0 07/2003 03/2008 07/2003 12/2006 GFZ solution, Gauss filter: 400")
18 Effect of different time spans [µgal/ year] / / / /2006 GFZ solution, Gauss filter: 400 km
19 Effect of different time spans [µgal/ year] / / / /2006 GFZ solution, Gauss filter: 400 km
20 Effect of different time spans [µgal/ year] / / / /2006 GFZ solution, Gauss filter: 400 km
21 Effect of different time spans [µgal/ year] / / / /2006 GFZ solution, Gauss filter: 400 km
22 Effect of different time spans [µgal/ year] 1.5 Difference / / / /2006 correlation: 0.39 GFZ solution, Gauss filter: 400 km
23 Effect of different time spans 08/ / / /2006 [µgal/ year] / / / /2009 GFZ solution, Gauss filter: 400 km
24 CSR Aug 2002 April 2009
25 (GRACE GLDAS) GPS 1 cm/year
26 Comparison to absolute gravity (Steffen et al. 2009b, Tectonophysics) Combination of AG measurements with GRACE (Müller et al. 2009, GGOS-DynaQlim Workshop)
27 Antarctica: Ice load at LGM IJ05 (Ivins&James, 2005) ICE-5G (Peltier, 2004)
28 Present-day GIA (100 km resolution) IJ05 ICE-5G
29 200 km resolution IJ05 ICE-5G
30 400 km resolution IJ05 ICE-5G
31 Ice + GIA mass change (400 km resolution) GIA (ICE-5G) GIA + ice/firn changes
32 Ice + GIA mass change (200 km resolution) IJ05 ICE-5G
33 Ice + GIA mass change (100 km resolution) IJ05 ICE-5G
34 Surface mass change from ICESat (crossovers, 03/03-03/08)
35 GIA and GPS (Rülke et al., 2009) IJ05 ICE-5G
36 Elastic deformation and upcoming GPS
37 Conclusions GIA signature is significant in Fennoscandia and North America, values of up to µgal/year Fennoscandia: uplift center and shape comparable with terrestrial measurements such as GPS and AG Longer time spans sharpen uplift structures For hydrology reduction: better hydrology models would be helpful In Antarctica, the (expected) gravity change signature of GIA has a magnitude comparable to that of changes in the ice sheet High-resolution gravity can help isolate both that part of the signal which is only due to ongoing ice sheet changes and dome structures from the GIA component Separation of ongoing ice mass variations from GIA requires combination with additional datasets, such as GPS measurements (point-like, therefore better combined with high-resolution gravity) and altimetry
38 Possible future GIA-related interests Regional signatures, e.g. GIA signature of the Barents Sea area Lateral variations: 3D structure of crust, lithosphere and mantle Rheology and chemical composition of the Earth s crust and mantle, including low-viscosity crustal and asthenospheric zones Clear definition of number and position of domes in North America Reduction of hydrology and inland seas, and combination with terrestrial data (AG, GPS) will help improving results Investigation of smaller ice sheets
39 Secular trend of monthly solutions CSR GFZ monthly JPL [µgal/ year] / / / /2008 ITG 02/ / / /2008 Fennoscandia, Gauss filter: 400 km
40 Recommendations 1. Length of Time Series: Continuous measurements > 15 years - reduce hydrology effect; - reduce tidal aliasing and system noise (if random in nature); - reduce the amount of filtering. 2. Spatial resolution: the higher the better - See more detail in ice history (Rocky Mountains, Great Lakes area) - Remove non-gia processes in and outside North-America 3. Temporal resolution: not critical since GIA is secular effect. Groundtrack density could be increased at the expense of time resolution
41 Acknowledgements Leibniz-Universität Hannover (Jürgen Müller, Heiner Denker, Olga Gitlein, Ludger Timmen) GFZ Potsdam (Svetozar Petrovic, Andreas Güntner, Christoph Dahle, Roelof Rietbroek, Roland Schmidt, Susanna Werth, Frank Flechtner, Johann Wünsch, Franz Barthelmes) IMAU, Utrecht University (Roderik van de Wal, Michiel Helsen, Michiel van den Broeke) Bristol Glaciologial Centre, Univ. Bristol (Jonathan Bamber) DEOS TU Delft (Brian Gunter, Roderik Lindenbergh) CSR (Timothy Urban, Bob Schutz) ITG Bonn (Torsten Mayer-Gürr, Jürgen Kusche) JWGU Frankfurt (Petra Döll) USGS (Chris Milly) University of Colorado (Sean Swenson, John Wahr) Universität Stuttgart (Matthias Weigelt) RSES Canberra (Kurt Lambeck) FU Berlin (Georg Kaufmann) Chinese Academy of Sciences (Hansheng Wang) University of Calgary (Patrick Wu) Members of SPP 1257 and the Nordic Geodetic Commission
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