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5. ITRF2020 Plate Motion Model

Author

Z. Altamimi, L. Métivier, P. Rebischung, X. Collilieux, K. Chanard, and J. Barnéoud

Subjects
plate motion model, reference frames, ITRF, Geophysics. Cosmic physics, QC801-809
Abstract

Abstract A tectonic Plate Motion Model (PMM) is essential for geodetic applications, while contributing to the understanding of geodynamic processes affecting the Earth's surface. We introduce a PMM derived from the horizontal velocities of 518 sites extracted from the ITRF2020 solution. These sites were chosen away from plate boundaries, Glacial Isostatic Adjustment regions, and other deforming zones. Unlike the ITRF2014‐PMM, which showed no significant Origin Rate Bias (ORB), velocities used to determine the ITRF2020‐PMM exhibit a statistically significant ORB (0.74 ± 0.09 mm/yr along the Z‐component). Users are advised to add the estimated ORB to the horizontal velocities predicted by the ITRF2020‐PMM rotation poles for full consistency with the ITRF2020. However, the predicted vertical velocities resulting from the addition of the ORB should be discarded. The overall precision with which the ITRF2020 velocity field is represented by the rigid ITRF2020‐PMM is at the level of 0.25 mm/yr WRMS.

Published
2023
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7. The ULR-repro3 GPS data reanalysis and its estimates of vertical land motion at tide gauges for sea level science

Author

M. Gravelle, G. Wöppelmann, K. Gobron, Z. Altamimi, M. Guichard, T. Herring, and P. Rebischung

Subjects
Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract

A new reanalysis of Global Navigation Satellite System (GNSS) data at or near tide gauges worldwide was produced by the University of La Rochelle (ULR) group within the third International GNSS Service (IGS) reprocessing campaign (repro3). The new solution, called ULR-repro3, complies with the IGS standards adopted for repro3, implementing advances in data modelling and corrections since the previous reanalysis campaign and extending the average record length by about 7 years. The results presented here focus on the main products of interest for sea level science: the station position time series and associated velocities on the vertical component at tide gauges. These products are useful to estimate accurate vertical land motion at the coast and supplement data from satellite altimetry or tide gauges for an improved understanding of sea level changes and their impacts along coastal areas. To provide realistic velocity uncertainty estimates, the noise content in the position time series was investigated considering the impact of non-tidal atmospheric loading. Overall, the ULR-repro3 position time series show reduced white noise and power-law amplitudes and lower station velocity uncertainties compared with the previous reanalysis. The products are available via SONEL (https://doi.org/10.26166/sonel_ulr7a; Gravelle et al., 2022).

Published
2023
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11. Use of GNSS Tropospheric Products for Climate Monitoring (Working Group 3)

Author

Bock, O., Pacione, R., Ahmed, F., Araszkiewicz, A., Bałdysz, Z., Balidakis, K., Barroso, C., Bastin, S., Beirle, S., Berckmans, J., Böhm, J., Bogusz, J., Bos, M., Brockmann, E., Cadeddu, M., Chimani, B., Douša, J., Elgered, G., Eliaš, M., Fernandes, R., Figurski, M., Fionda, E., Gruszczynska, M., Guerova, G., Guijarro, J., Hackman, C., Heinkelmann, R., Jones, J., Kazancı, S. Zengin, Klos, A., Landskron, D., Martins, J. P., Mattioli, V., Mircheva, B., Nahmani, S., Nilsson, R. T., Ning, T., Nykiel, G., Parracho, A., Pottiaux, E., Ramos, A., Rebischung, P., Sá, A., Dorigo, W., Schuh, H., Stankunavicius, G., Stępniak, K., Valentim, H., Van Malderen, R., Viterbo, P., Willis, P., Xaver, A., Jones, Jonathan, editor, Guerova, Guergana, editor, Douša, Jan, editor, Dick, Galina, editor, de Haan, Siebren, editor, Pottiaux, Eric, editor, Bock, Olivier, editor, Pacione, Rosa, editor, and van Malderen, Roeland, editor

Published
2020
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14. ITRF2020 Plate Motion Model

Author

Altamimi, Z., primary, Métivier, L., additional, Rebischung, P., additional, Collilieux, X., additional, Chanard, K., additional, and Barnéoud, J., additional

Published
2023
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19. Use of GNSS Tropospheric Products for Climate Monitoring (Working Group 3)

Author

Bock, O., primary, Pacione, R., additional, Ahmed, F., additional, Araszkiewicz, A., additional, Bałdysz, Z., additional, Balidakis, K., additional, Barroso, C., additional, Bastin, S., additional, Beirle, S., additional, Berckmans, J., additional, Böhm, J., additional, Bogusz, J., additional, Bos, M., additional, Brockmann, E., additional, Cadeddu, M., additional, Chimani, B., additional, Douša, J., additional, Elgered, G., additional, Eliaš, M., additional, Fernandes, R., additional, Figurski, M., additional, Fionda, E., additional, Gruszczynska, M., additional, Guerova, G., additional, Guijarro, J., additional, Hackman, C., additional, Heinkelmann, R., additional, Jones, J., additional, Kazancı, S. Zengin, additional, Klos, A., additional, Landskron, D., additional, Martins, J. P., additional, Mattioli, V., additional, Mircheva, B., additional, Nahmani, S., additional, Nilsson, R. T., additional, Ning, T., additional, Nykiel, G., additional, Parracho, A., additional, Pottiaux, E., additional, Ramos, A., additional, Rebischung, P., additional, Sá, A., additional, Dorigo, W., additional, Schuh, H., additional, Stankunavicius, G., additional, Stępniak, K., additional, Valentim, H., additional, Van Malderen, R., additional, Viterbo, P., additional, Willis, P., additional, and Xaver, A., additional

Published
2019
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22. IGS polar motion measurement accuracy

Author

Jim Ray, Paul Rebischung, and Jake Griffiths

Subjects
PM (Polar motion), GPS (Global Positioning System), EOPs (Earth orientation parameters), Accuracy, IGS (International GNSS Service), Geodesy, QB275-343, Geophysics. Cosmic physics, QC801-809
Abstract

We elaborate an error budget for the long-term accuracy of IGS (International Global Navigation Satellite System Service) polar motion estimates, concluding that it is probably about 25–30 μas (1-sigma) overall, although it is not possible to quantify possible contributions (mainly annual) that might transfer directly from aliases of subdaily rotational tide errors. The leading sources are biases arising from the need to align daily, observed terrestrial frames, within which the pole coordinates are expressed and which are continuously deforming, to the secular, linear international reference frame. Such biases are largest over spans longer than about a year. Thanks to the very large number of IGS tracking stations, the formal covariance errors are much smaller, around 5 to 10 μas. Large networks also permit the systematic frame-related errors to be more effectively minimized but not eliminated. A number of periodic errors probably also influence polar motion results, mainly at annual, GPS (Global Positioning System) draconitic, and fortnightly periods, but their impact on the overall error budget is unlikely to be significant except possibly for annual tidal aliases. Nevertheless, caution should be exercised in interpreting geophysical excitations near any of the suspect periods.

Published
2017
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23. The IAG combined global GNSS velocity field (JWG 3.2)

Author

Santamaria, A., Rietbroek, R., Frederikse, T., Rebischung, P., and Legrand, J.

Abstract

Estimates of GNSS velocities are significantly impacted by the choices made concerning the GNSS data processing (corrections applied and noise level of the series), the completeness of the series and the alignment to a reference frame. In particular, position discontinuities, that populate the GNSS time series, have probably the biggest impact on the velocity error. All these effects may produce, at least, an increased velocity uncertainty, but it may also lead to biased velocity estimates. The result is that GNSS velocities estimated by different analysts can significantly differ from each other, even when using exactly the same position series.The objective of the IAG Joint Working Group 3.2 is to provide a combined global GNSS velocity field that takes into account the dispersion of the different velocity estimates at the same sites provided by different groups together with their alignment and their relative weighting. We expect that this IAG combined GNSS velocity field will be useful for the scientific community inside, but especially outside, the geodetic community in areas such as tectonics, sea-level change and GIA modeling among others. In this contribution, we present the latest global combined velocity field based on the available global and regional velocity fields provided by several groups, and show the level of agreement between the velocity fields., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023
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24. Is the processing of DORIS measurements affected by multicollinearity effects?

Author

Nahmani, S., Pollet, A., and Rebischung, P.

Abstract

The DORIS technique (Doppler Orbitography by Radiopositioning Integrated on Satellite) is a French satellite system used for the determination of satellite orbits and for positioning. With orbits estimated with a precision better than a centimeter on the radial component, DORIS is important for space altimetry to monitor sea level rise, one of the key indicators of climate change. The processing of spatial geodesy measurements in general requires modeling involving the estimation of many parameters by least squares or by an equivalent estimation method. A limiting factor in performing the estimation, regardless of the physical validity of the chosen model, is to ensure that no parameter of the model can be written as a linear combination of the other parameters, otherwise the model matrix is singular and the normal matrix non-invertible. The situation becomes more complicated when the model matrix is non-singular but close to being singular, leading to possible multicollinearity problems: the estimates of a parameter can thus be questioned if it is close to a linear combination of other parameters. These multicollinearity effects explain, among other things, why estimating the origin of the terrestrial reference frame via GNSS is impossible. In this poster, we evaluate to what extent the DORIS data processing can be affected by multicollinearity effects. We will analyze the estimated parameters for single satellite calculations with different satellites and in a multi-satellite computation in order to test mathematically whether the parameter estimates are reasonable. In particular, we will review the frame parameters (origin and TRF scale)., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023
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25. Impact of RAS Mutations in Metastatic Colorectal Cancer After Potentially Curative Resection: Does Site of Metastases Matter?

Author

Passot, Guillaume, Kim, Bradford J., Glehen, Olivier, Mehran, Reza J., Kopetz, Scott E., Goere, Diane, Overman, Michael J., Pocard, Marc, Marchal, Frédéric, Conrad, Claudius, Aloia, Thomas A., Vauthey, Jean-Nicolas, Chun, Yun Shin, Abba, Julio, Abboud, Karine, Alyami, Mohammad, Arvieux, Catherine, Asnacios, Amani, Averous, Gerlinde, Bakrin, Naoual, Bardier, Armelle, Rejeb, Houda Ben, Bereder, Jean-Marc, Bernard, Jean-Louis, Bibeau, Frédéric, Bonnefoy, Isabelle, Borg, Christophe, Boschetti, Gilles, Bouarioua, Nadia, Bouche, Olivier, Bouzard, Dominique, Brigand, Cécile, Cacheux, Wulfran, Capitain, Olivier, Carrère, Sébastien, Carretier, Michel, Castel, Benjamin, Chauvenet, Marion, Chevallier, Anne, Coffin, Benoît, Costan, Cristina, Cotte, Eddy, Courvoisier, Thomas, Dahan, Laetitia, Dartigues, Peggy, De Chaisemartin, Cécile, Dechelotte, Pierre, Deguelte-Lardière, Sophie, Delpero, Jean-Robert, Del Grande, Jean, Demarchi, Martin, Desandes, Emmanuel, Desolneux, Grégoire, Dufour, Patrick, Dumont, Frédéric, Durand-Fontanier, Sylvaine, Eveno, Clarisse, Evrard, Serge, Facy, Olivier, Farkhondeh, Fereshteh, Fontaine, Juliette, Gagniere, Johan, Galais, Marie-Pierre, Ghouti, Laurent, Gilly, François-Noël, Goasguen, Nicolas, Gornet, Jean-Marc, Gourdiole, Pierre, Guerin-Meyer, Véronique, Guilloit, Jean-Marc, Guimbaud, Rosine, Guyon, Frédéric, Heyd, Bruno, Heymann, Marie-Françoise, Isaac, Sylvie, Jouet, Pauline, Jourdan-Enfer, Peggy, Jouve, Jean-Louis, Kaci, Rachid, Karoui, Mehdi, Kianmanesh, Reza, Kirzin, Sylvain, Kurtz, Jean-Emmanuel, Labrousse, François, Lebrun-Ly, Valérie, Lefevre, Jérémie, Lelong, Bernard, Lemaistre, Anne-Elisabeth, Leroux-Broussier, Agnès, Levillain, Pierre, Linot, Benjamin, Dico, Réa Lo, Loi, Valéria, Lorimier, Gérard, Mahammat, Abakar, Malka, David, Marchal, Frédéric, Mariani, Antoine, Mariani, Pascale, Mariette, Christophe, Martin, Laurent, Meeus, Pierre, Meffert, Jean-Luc, Messager, Mathieu, Michel, Pierre, Msika, Simon, Muron, Thierry, Noel, Georges, Ortega-Deballon, Pablo, Paquette, Brice, Peoc’h, Michel, Petorin, Caroline, Peyrat, Patrice, Pezet, Denis, Piessen, Guillaume, Pirro, Nicolas, Pocard, Marc, Poizat, Flora, Porcheron, Jack, Poulet, Anaïs, Portales, Fabienne, la Denise, Justine Prost a, Quenet, François, Rat, Patrick, Rebischung, Christine, Regimbeau, Jean-Marc, Rivoirard, Romain, Rohr, Serge, Rougier, Philippe, Rousselot, Pierre, Saban-Roche, Léa, Sabate, Jean-Marc, Sabbagh, Charles, Sabourin, Jean-Christophe, Samalin-Scalzi, Emmanuelle, Seitz, Jean-François, Selves, Janick, Senellart, Helène, Serrano, Martine, Sgabura, Olivia, Sielezneff, Igor, Svrcek, Magali, Taibi, Abdelkader, Taieb, Julien, Thibaudeau, Emilie, Tougeron, David, Tuech, Jean-Jacques, Valmary-Degano, Séverine, Vaudoyer, Delphine, Verriele-Beurrier, Véronique, Villeneuve, Laurent, Volet, Julien, Wernert, Romuald, Ychou, Marc, You, Benoît, Zaanan, Aziz, Zinzindohoue, Franck, and on behalf of the BIG-RENAPE Working Group

Published
2017
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32. A Randomized Phase II Trial of Three Intensified Chemotherapy Regimens in First-Line Treatment of Colorectal Cancer Patients with Initially Unresectable or Not Optimally Resectable Liver Metastases. The METHEP Trial

Author

Ychou, Marc, Rivoire, Michel, Thezenas, Simon, Quenet, François, Delpero, Jean-Robert, Rebischung, Christine, Letoublon, Christian, Guimbaud, Rosine, Francois, Eric, Ducreux, Michel, Desseigne, Françoise, Fabre, Jean-Michel, and Assenat, Eric

Published
2013
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40. Randomized Phase II Trial Evaluating Two Sequential Treatments in First Line of Metastatic Pancreatic Cancer: Results of the PANOPTIMOX-PRODIGE 35 Trial.

Author

Dahan, Laetitia, Williet, Nicolas, Le Malicot, Karine, Phelip, Jean-Marc, Desrame, Jérôme, Bouché, Olivier, Petorin, Caroline, Malka, David, Rebischung, Christine, Aparicio, Thomas, Lecaille, Cédric, Rinaldi, Yves, Turpin, Anthony, Bignon, Anne-Laure, Bachet, Jean-Baptiste, Seitz, Jean-François, Lepage, Come, François, Eric, and PRODIGE 35 Investigators/Collaborators

Published
2021
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44. IGS14/igs14.atx: a new framework for the IGS products

Author

Rebischung P., Schmid R. and Deutsches Geodätisches Forschungsinstitut (DGFI-TUM)

Subjects
ddc
Abstract

The International GNSS Service (IGS) is about to switch to a new reference frame (IGS14), based on the latest release of the International Terrestrial Reference Frame (ITRF2014), as the basis for its products. An updated set of satellite and ground antenna calibrations (igs14.atx) will become effective at the same time. IGS14 and igs14.atx will then replace the previous IGS08/igs08.atx framework in use since GPS week 1632 (17 April 2011) and in the second IGS reprocessing campaign (repro2). Despite the negligible scale difference between ITRF2008 and ITRF2014 (0.02 ppb), the radial components of all GPS and GLONASS satellite antenna phase center offsets (z-PCOs) had to be updated in igs14.atx, because of modeling changes recently introduced within the IGS that affect the scale of the IGS products. This was achieved by deriving and averaging time series of satellite z-PCO estimates, consistent with the ITRF2014 scale, from the daily repro2 and latest operational SINEX solutions of seven IGS Analysis Centers (ACs). Compared to igs08.atx, igs14.atx includes robot calibrations for 16 additional ground antenna types, so that the percentage of stations with absolute calibrations in the IGS network will reach ~90% after the switch. 19 type-mean robot calibrations were also updated thanks to the availability of calibration results for additional antenna samples. IGS14 is basically an extract of well-suited reference frame stations (i.e., with long and stable position time series) from ITRF2014. However, to make the IGS14 station coordinates consistent with the new igs14.atx ground antenna calibrations, position offsets due to the switch from igs08.atx to igs14.atx were derived for all IGS14 stations affected by ground antenna calibration updates and applied to their ITRF2014 coordinates. This presentation will first detail the different steps of the elaboration of IGS14 and igs14.atx. The impact of the switch on GNSS-derived geodetic parameter time series will then be assessed by re-aligning the daily repro2 and latest operational IGS combined SINEX solutions to IGS14/igs14.atx. A particular focus will finally be given to the biases and trends present in the satellite z-PCO time series derived from the daily AC SINEX solutions, and to their interpretation in terms of scale and scale rate of the terrestrial frame.

Published
2015

49. Cinétique de variation sérique des métalloprotéïnases matricielles (MMP-1, -2, -7 et -9) et de TIMP-1 : un facteur prédictif de récidive après traitement radical des métastases hépatiques de cancers colorectaux ?

Author

Frenoux, Coralie, Rebischung, Christine, Quesada, Jean-Louis, Mendosa, Christophe, Letoublon, Christian, and Trocmé, Candice

Abstract

La dissémination métastatique hépatique grève le pronostic du cancer colo rectal. Après chirurgie hépatique ou radiofréquence, aucun biomarqueur n’est actuellement validé pour prédire la récidive précoce et intensifier le traitement adjuvant dans des groupes à risque. Par leurs fonctions biologiques d’homéostasie du microenvironnement tumoral, les métalloprotéïnases (MMPs) représentent des biomarqueurs potentiellement intéressants.

Published
2018
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50. Toward a Global Horizontal and Vertical Elastic Load Deformation Model Derived from GRACE and GNSS Station Position Time Series

Author

Chanard, Kristel, Fleitout, Luce, Calais, Eric, Rebischung, Paul, and Avouac, Jean‐Philippe

Abstract

We model surface displacements induced by variations in continental water, atmospheric pressure, and nontidal oceanic loading, derived from the Gravity Recovery and Climate Experiment (GRACE) for spherical harmonic degrees two and higher. As they are not observable by GRACE, we use at first the degree‐1 spherical harmonic coefficients from Swenson et al. (2008, https://doi.org/10.1029/2007JB005338). We compare the predicted displacements with the position time series of 689 globally distributed continuous Global Navigation Satellite System (GNSS) stations. While GNSS vertical displacements are well explained by the model at a global scale, horizontal displacements are systematically underpredicted and out of phase with GNSS station position time series. We then reestimate the degree 1 deformation field from a comparison between our GRACE‐derived model, with no a priori degree 1 loads, and the GNSS observations. We show that this approach reconciles GRACE‐derived loading displacements and GNSS station position time series at a global scale, particularly in the horizontal components. Assuming that they reflect surface loading deformation only, our degree‐1 estimates can be translated into geocenter motion time series. We also address and assess the impact of systematic errors in GNSS station position time series at the Global Positioning System (GPS) draconitic period and its harmonics on the comparison between GNSS and GRACE‐derived annual displacements. Our results confirm that surface mass redistributions observed by GRACE, combined with an elastic spherical and layered Earth model, can be used to provide first‐order corrections for loading deformation observed in both horizontal and vertical components of GNSS station position time series. We model surface horizontal and vertical displacements induced by mass variations derived from GRACE at a global network of GNSS stationsWe estimate the degree 1 deformation field from comparing GRACE‐derived model and GNSS observationsResults show that GRACE with an elastic Earth model, can provide loading horizontal and vertical deformation correction models for GNSS

Published
2018
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