Articles | Volume 5, issue 2
https://doi.org/10.5194/se-5-673-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/se-5-673-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Method article
| 
17 Jul 2014
Method article |
| 17 Jul 2014
Using the Nordic Geodetic Observing System for land uplift studies
M. Nordman
Finnish Geodetic Institute, P.O. Box 15, 02431 Masala, Finland
M. Poutanen
Finnish Geodetic Institute, P.O. Box 15, 02431 Masala, Finland
A. Kairus
Aalto University, Espoo, Finland
Finnish Geodetic Institute, P.O. Box 15, 02431 Masala, Finland
J. Virtanen
Finnish Geodetic Institute, P.O. Box 15, 02431 Masala, Finland
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We explore the rate of past and future sea level rise at the Finnish coast, northeastern Baltic Sea, in 1901–2100. For this analysis, we use tide gauge observations, modelling results, and a probabilistic method to combine information from several sea level rise projections. We provide projections of local mean sea level by 2100 as probability distributions. The results can be used in adaptation planning in various sectors with different risk tolerance, e.g. land use planning or nuclear safety.
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We explore the rate of past and future sea level rise at the Finnish coast, northeastern Baltic Sea, in 1901–2100. For this analysis, we use tide gauge observations, modelling results, and a probabilistic method to combine information from several sea level rise projections. We provide projections of local mean sea level by 2100 as probability distributions. The results can be used in adaptation planning in various sectors with different risk tolerance, e.g. land use planning or nuclear safety.
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Thomas Frederikse, Felix W. Landerer, and Lambert Caron
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Christine Masson, Stephane Mazzotti, Philippe Vernant, and Erik Doerflinger
Solid Earth, 10, 1905–1920, https://doi.org/10.5194/se-10-1905-2019, https://doi.org/10.5194/se-10-1905-2019, 2019
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Evren Pakyuz-Charrier, Mark Jessell, Jérémie Giraud, Mark Lindsay, and Vitaliy Ogarko
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Maurizio Milano, Maurizio Fedi, and J. Derek Fairhead
Solid Earth, 10, 697–712, https://doi.org/10.5194/se-10-697-2019, https://doi.org/10.5194/se-10-697-2019, 2019
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Martin Kobe, Gerald Gabriel, Adelheid Weise, and Detlef Vogel
Solid Earth, 10, 599–619, https://doi.org/10.5194/se-10-599-2019, https://doi.org/10.5194/se-10-599-2019, 2019
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Christine Masson, Stephane Mazzotti, and Philippe Vernant
Solid Earth, 10, 329–342, https://doi.org/10.5194/se-10-329-2019, https://doi.org/10.5194/se-10-329-2019, 2019
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We use statistical analyses of synthetic position time series to estimate the potential precision of GPS velocities. Regression tree analyses show that the main factors controlling the velocity precision are the duration of the series, the presence of offsets, and the noise. Our analysis allows us to propose guidelines which can be applied to actual GPS data that constrain the velocity accuracies.
Sergei Rudenko, Saskia Esselborn, Tilo Schöne, and Denise Dettmering
Solid Earth, 10, 293–305, https://doi.org/10.5194/se-10-293-2019, https://doi.org/10.5194/se-10-293-2019, 2019
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A terrestrial reference frame (TRF) realization is a basis for precise orbit determination of Earth-orbiting artificial satellites and sea level studies. We investigate the impact of a switch from an older TRF realization (ITRF2008) to a new one (ITRF2014) on the quality of orbits of three altimetry satellites (TOPEX/Poseidon, Jason-1, and Jason-2) for 1992–2015, but especially from 2009 onwards, and on altimetry products computed using the satellite orbits derived using ITRF2014.
Jeremie Giraud, Mark Lindsay, Vitaliy Ogarko, Mark Jessell, Roland Martin, and Evren Pakyuz-Charrier
Solid Earth, 10, 193–210, https://doi.org/10.5194/se-10-193-2019, https://doi.org/10.5194/se-10-193-2019, 2019
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We propose the quantitative integration of geology and geophysics in an algorithm integrating the probability of observation of rocks with gravity data to improve subsurface imaging. This allows geophysical modelling to adjust models preferentially in the least certain areas while honouring geological information and geophysical data. We validate our algorithm using an idealized case and apply it to the Yerrida Basin (Australia), where we can recover the geometry of buried greenstone belts.
Karen M. Simon, Riccardo E. M. Riva, Marcel Kleinherenbrink, and Thomas Frederikse
Solid Earth, 9, 777–795, https://doi.org/10.5194/se-9-777-2018, https://doi.org/10.5194/se-9-777-2018, 2018
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This study constrains the post-glacial rebound signal in Scandinavia and northern Europe via the combined inversion of prior forward model information with GPS-measured vertical land motion data and GRACE gravity data. The best-fit model for vertical motion rates has a χ2 value of ~ 1 and a maximum uncertainty of 0.3–0.4 mm yr−1. An advantage of inverse models relative to forward models is their ability to estimate formal uncertainties associated with the post-glacial rebound process.
Christina Lück, Jürgen Kusche, Roelof Rietbroek, and Anno Löcher
Solid Earth, 9, 323–339, https://doi.org/10.5194/se-9-323-2018, https://doi.org/10.5194/se-9-323-2018, 2018
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Since 2002, the GRACE mission provides estimates of the Earth's time-variable gravity field, from which one can derive ocean mass variability. Now that the GRACE mission has come to an end, it is especially important to find alternative ways for deriving ocean mass changes. For the first time, we use kinematic orbits of Swarm for computing ocean mass time series. We compute monthly solutions, but also show an alternative way of directly estimating time-variable spherical harmonic coefficients.
Hai Ninh Nguyen, Philippe Vernant, Stephane Mazzotti, Giorgi Khazaradze, and Eva Asensio
Solid Earth, 7, 1349–1363, https://doi.org/10.5194/se-7-1349-2016, https://doi.org/10.5194/se-7-1349-2016, 2016
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We present a new 3-D GPS velocity solution for 182 sites for the region encompassing the Western Alps, Pyrenees. The only significant horizontal deformation (0.2 mm/yr over a distance of 50 km) is a NNE–SSW extension in the western Pyrenees. In contrast, significant uplift rates up to 2 mm/yr occur in the Western Alps but not in the Pyrenees. A correlation between site elevations and fast uplift rates in the Western Alps suggests that part of this uplift is induced by postglacial rebound.
Gang Chen, Anmin Zeng, Feng Ming, and Yifan Jing
Solid Earth, 7, 817–825, https://doi.org/10.5194/se-7-817-2016, https://doi.org/10.5194/se-7-817-2016, 2016
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In this paper, we presented a new method on the basis of a collocation and multi-quadric equation interpolation. We introduce a multi-quadric kernel function to determine the covariance of local deformation and use the method to be a simple approximation of the covariance function. We established a horizontal velocity field model for the Chinese mainland by using a set of observed velocity data of GPS stations. The result is simple and reasonable and has a significant reference value.
A. Zlinszky, G. Timár, R. Weber, B. Székely, C. Briese, C. Ressl, and N. Pfeifer
Solid Earth, 5, 355–369, https://doi.org/10.5194/se-5-355-2014, https://doi.org/10.5194/se-5-355-2014, 2014
S. Rudenko, N. Schön, M. Uhlemann, and G. Gendt
Solid Earth, 4, 23–41, https://doi.org/10.5194/se-4-23-2013, https://doi.org/10.5194/se-4-23-2013, 2013
T. Frontera, A. Concha, P. Blanco, A. Echeverria, X. Goula, R. Arbiol, G. Khazaradze, F. Pérez, and E. Suriñach
Solid Earth, 3, 111–119, https://doi.org/10.5194/se-3-111-2012, https://doi.org/10.5194/se-3-111-2012, 2012
J. Klokočník, J. Kostelecký, I. Pešek, P. Novák, C. A. Wagner, and J. Sebera
Solid Earth, 1, 71–83, https://doi.org/10.5194/se-1-71-2010, https://doi.org/10.5194/se-1-71-2010, 2010
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