Articles | Volume 8, issue 2
https://doi.org/10.5194/gi-8-197-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-8-197-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multiresolution wavelet analysis applied to GRACE range-rate residuals
Graz University of Technology, Institute of Geodesy, Steyrergasse 30/III, 8010 Graz, Austria
Leibniz University Hanover, Institute of Geodesy, Schneiderberg 50, 30167 Hanover, Germany
Invited contribution by Saniya Behzadpour, recipient of the EGU Geodesy Outstanding Student Poster and PICO Award 2018.
Torsten Mayer-Gürr
Graz University of Technology, Institute of Geodesy, Steyrergasse 30/III, 8010 Graz, Austria
Jakob Flury
Leibniz University Hanover, Institute of Geodesy, Schneiderberg 50, 30167 Hanover, Germany
Beate Klinger
Graz University of Technology, Institute of Geodesy, Steyrergasse 30/III, 8010 Graz, Austria
Sujata Goswami
Jet Propulsion Laboratory, NASA, Pasadena, CA, USA
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Maksym Vasiuta, Angel Navarro Trastoy, Sanam Motlaghzadeh, Lauri Tuppi, Torsten Mayer-Gürr, and Heikki Järvinen
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-136, https://doi.org/10.5194/gmd-2024-136, 2024
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Propagation of electromagnetic signals in the Earth's neutral atmosphere inflicts errors in space geodetic observations. To model these errors as accurately as possible, it is necessary to use a signal ray tracing algorithm which is informed of the state of the atmosphere. We developed such algorithm and tested it by modelling errors in GNSS network observations. Our algorithm's main advantage is loss-less utilization of atmospheric information provided by numerical weather prediction models.
Angel Navarro Trastoy, Sebastian Strasser, Lauri Tuppi, Maksym Vasiuta, Markku Poutanen, Torsten Mayer-Gürr, and Heikki Järvinen
Geosci. Model Dev., 15, 2763–2771, https://doi.org/10.5194/gmd-15-2763-2022, https://doi.org/10.5194/gmd-15-2763-2022, 2022
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Production of satellite products relies on information from different centers. By coupling a weather model and an orbit determination solver we eliminate the dependence on one of the centers. The coupling has proven to be possible in the first stage, where no formatting has been applied to any of the models involved. This opens a window for further development and improvement to a coupling that has proven to be as good as the predecessor model.
Andreas Kvas, Jan Martin Brockmann, Sandro Krauss, Till Schubert, Thomas Gruber, Ulrich Meyer, Torsten Mayer-Gürr, Wolf-Dieter Schuh, Adrian Jäggi, and Roland Pail
Earth Syst. Sci. Data, 13, 99–118, https://doi.org/10.5194/essd-13-99-2021, https://doi.org/10.5194/essd-13-99-2021, 2021
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Earth's gravity field provides invaluable insights into the state and changing nature of our planet. GOCO06s combines over 1 billion measurements from 19 satellites to produce a global gravity field model. The combination of different observation principles allows us to exploit the strengths of each satellite mission and provide a high-quality data set for Earth and climate sciences.
Martin Lasser, Ulrich Meyer, Adrian Jäggi, Torsten Mayer-Gürr, Andreas Kvas, Karl Hans Neumayer, Christoph Dahle, Frank Flechtner, Jean-Michel Lemoine, Igor Koch, Matthias Weigelt, and Jakob Flury
Adv. Geosci., 55, 1–11, https://doi.org/10.5194/adgeo-55-1-2020, https://doi.org/10.5194/adgeo-55-1-2020, 2020
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Correctly determining the orbit of Earth-orbiting satellites requires to account multiple background effects which appear in the system Earth. Usually, these effects are introduced by various complex force models, which are not always easy to handle. We publish and validate a data set of commonly used models to make it easier to track down potential issues when applying such background forces in orbit and gravity field determination.
João Teixeira da Encarnação, Pieter Visser, Daniel Arnold, Aleš Bezdek, Eelco Doornbos, Matthias Ellmer, Junyi Guo, Jose van den IJssel, Elisabetta Iorfida, Adrian Jäggi, Jaroslav Klokocník, Sandro Krauss, Xinyuan Mao, Torsten Mayer-Gürr, Ulrich Meyer, Josef Sebera, C. K. Shum, Chaoyang Zhang, Yu Zhang, and Christoph Dahle
Earth Syst. Sci. Data, 12, 1385–1417, https://doi.org/10.5194/essd-12-1385-2020, https://doi.org/10.5194/essd-12-1385-2020, 2020
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Although not the primary mission of the Swarm three-satellite constellation, the sensors on these satellites are accurate enough to measure the melting and accumulation of Earth’s ice reservoirs, precipitation cycles, floods, and droughts, amongst others. Swarm sees these changes well compared to the dedicated GRACE satellites at spatial scales of roughly 1500 km. Swarm confirms most GRACE observations, such as the large ice melting in Greenland and the wet and dry seasons in the Amazon.
Ben T. Gouweleeuw, Andreas Kvas, Christian Gruber, Animesh K. Gain, Thorsten Mayer-Gürr, Frank Flechtner, and Andreas Güntner
Hydrol. Earth Syst. Sci., 22, 2867–2880, https://doi.org/10.5194/hess-22-2867-2018, https://doi.org/10.5194/hess-22-2867-2018, 2018
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Daily GRACE gravity field solutions have been evaluated against daily river runoff data for major flood events in the Ganges–Brahmaputra Delta in 2004 and 2007. Compared to the monthly gravity field solutions, the trends over periods of a few days in the daily gravity field solutions are able to reflect temporal variations in river runoff during major flood events. This implies that daily gravity field solutions released in near-real time may support flood monitoring for large events.
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Laboratory measurements of the performances of the Sweeping Langmuir Probe instrument aboard the PICASSO CubeSat
Creating HiRISE digital elevation models for Mars using the open-source Ames Stereo Pipeline
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TARANIS XGRE and IDEE detection capability of terrestrial gamma-ray flashes and associated electron beams
Wind reconstruction algorithm for Viking Lander 1
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The MetNet vehicle: a lander to deploy environmental stations for local and global investigations of Mars
Mass spectrometry of planetary exospheres at high relative velocity: direct comparison of open- and closed-source measurements
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Sylvain Ranvier and Jean-Pierre Lebreton
Geosci. Instrum. Method. Data Syst., 12, 1–13, https://doi.org/10.5194/gi-12-1-2023, https://doi.org/10.5194/gi-12-1-2023, 2023
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The Sweeping Langmuir Probe on board the PICASSO CubeSat was designed to measure plasma parameters. Before launch, the instrument was tested in a plasma chamber. It is shown that the traditional method to interpret the data cannot be applied directly for this type of probe, and an adaptation is proposed. It is reported how, with a reduced number of data points, the plasma parameters can still be retrieved. Finally, the effects of the contamination of the probe surface are discussed.
Adam J. Hepburn, Tom Holt, Bryn Hubbard, and Felix Ng
Geosci. Instrum. Method. Data Syst., 8, 293–313, https://doi.org/10.5194/gi-8-293-2019, https://doi.org/10.5194/gi-8-293-2019, 2019
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Richard Larsson, Yasuko Kasai, Takeshi Kuroda, Shigeru Sato, Takayoshi Yamada, Hiroyuki Maezawa, Yutaka Hasegawa, Toshiyuki Nishibori, Shinichi Nakasuka, and Paul Hartogh
Geosci. Instrum. Method. Data Syst., 7, 331–341, https://doi.org/10.5194/gi-7-331-2018, https://doi.org/10.5194/gi-7-331-2018, 2018
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We are planning a Mars mission. The mission will carry an instrument capable of measuring and mapping molecular oxygen and water in the Martian atmosphere, as well as the temperature, wind, and magnetic field. Water and oxygen are vital parts of the Martian atmospheric chemistry and must be better understood. Using computer simulation results, the paper gives a description of how the measurements will work, some problems we expect to encounter, and the sensitivity of the measurements.
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Geosci. Instrum. Method. Data Syst., 6, 239–256, https://doi.org/10.5194/gi-6-239-2017, https://doi.org/10.5194/gi-6-239-2017, 2017
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Tuomas Kynkäänniemi, Osku Kemppinen, Ari-Matti Harri, and Walter Schmidt
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Investigations of Mars – its atmosphere, surface and interior – require simultaneous, distributed in situ measurements. We have developed an innovative prototype of the Mars Network Lander (MNL), a small lander/penetrator with a 20 % payload mass fraction. MNL features an innovative Entry, Descent and Landing System to increase reliability and reduce the system mass. It is ideally suited for piggy-backing on spacecraft, for network missions and pathfinders for high-value landed missions.
Stefan Meyer, Marek Tulej, and Peter Wurz
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We developed a prototype of the Neutral Gas and Ion Mass spectrometer (NIM) of the Particle Environment Package (PEP) for the JUICE mission of ESA. NIM will be used to measure the chemical composition of the exospheres of the icy Jovian moons. The NIM prototype was successfully tested under realistic conditions and we find that the closed source behaves as expected within the JUICE mission phase velocities. No additional fragmentation of the species recorded with the closed source is observed.
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Geosci. Instrum. Method. Data Syst., 5, 383–401, https://doi.org/10.5194/gi-5-383-2016, https://doi.org/10.5194/gi-5-383-2016, 2016
H. J. Lehto, B. Zaprudin, K. M. Lehto, T. Lönnberg, J. Silén, J. Rynö, H. Krüger, M. Hilchenbach, and J. Kissel
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M. Sampl, W. Macher, C. Gruber, T. Oswald, M. Kapper, H. O. Rucker, and M. Mogilevsky
Geosci. Instrum. Method. Data Syst., 4, 81–88, https://doi.org/10.5194/gi-4-81-2015, https://doi.org/10.5194/gi-4-81-2015, 2015
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We present the high-frequency properties of the eight electric field sensors as proposed to be launched on the spacecraft “RESONANCE” in the near future. Due to the close proximity of the conducting spacecraft body, the sensors (antennas) have complex receiving features and need to be well understood for an optimal mission and spacecraft design. In particular techniques like wave polarization analysis and incident direction finding depend crucially on the presented antenna characteristics.
J. Silén, H. Cottin, M. Hilchenbach, J. Kissel, H. Lehto, S. Siljeström, and K. Varmuza
Geosci. Instrum. Method. Data Syst., 4, 45–56, https://doi.org/10.5194/gi-4-45-2015, https://doi.org/10.5194/gi-4-45-2015, 2015
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COSIMA, an advanced TOF-SIMS instrument measuring the mass spectrum of dust grains collected at comet P67 by the ROSETTA spacecraft, is predicted to encounter complex mixtures of minerals and organic compounds. To extract information from this data set, we have developed a multivariate technique tested on laboratory measurements made by an identical instrument under controlled conditions. We have shown that minerals can be identified and separated with high level of confidence.
P. Robert, N. Cornilleau-Wehrlin, R. Piberne, Y. de Conchy, C. Lacombe, V. Bouzid, B. Grison, D. Alison, and P. Canu
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Y. V. Khotyaintsev, P.-A. Lindqvist, C. M. Cully, A. I. Eriksson, and M. André
Geosci. Instrum. Method. Data Syst., 3, 143–151, https://doi.org/10.5194/gi-3-143-2014, https://doi.org/10.5194/gi-3-143-2014, 2014
N. Doss, A. N. Fazakerley, B. Mihaljčić, A. D. Lahiff, R. J. Wilson, D. Kataria, I. Rozum, G. Watson, and Y. Bogdanova
Geosci. Instrum. Method. Data Syst., 3, 59–70, https://doi.org/10.5194/gi-3-59-2014, https://doi.org/10.5194/gi-3-59-2014, 2014
A. Blagau, I. Dandouras, A. Barthe, S. Brunato, G. Facskó, and V. Constantinescu
Geosci. Instrum. Method. Data Syst., 3, 49–58, https://doi.org/10.5194/gi-3-49-2014, https://doi.org/10.5194/gi-3-49-2014, 2014
C. G. Mouikis, L. M. Kistler, G. Wang, and Y. Liu
Geosci. Instrum. Method. Data Syst., 3, 41–48, https://doi.org/10.5194/gi-3-41-2014, https://doi.org/10.5194/gi-3-41-2014, 2014
J. S. Pickett, I. W. Christopher, and D. L. Kirchner
Geosci. Instrum. Method. Data Syst., 3, 21–27, https://doi.org/10.5194/gi-3-21-2014, https://doi.org/10.5194/gi-3-21-2014, 2014
K. H. Yearby, S. N. Walker, and M. A. Balikhin
Geosci. Instrum. Method. Data Syst., 2, 323–328, https://doi.org/10.5194/gi-2-323-2013, https://doi.org/10.5194/gi-2-323-2013, 2013
L. M. Kistler, C. G. Mouikis, and K. J. Genestreti
Geosci. Instrum. Method. Data Syst., 2, 225–235, https://doi.org/10.5194/gi-2-225-2013, https://doi.org/10.5194/gi-2-225-2013, 2013
N. I. Kömle, W. Macher, G. Kargl, and M. S. Bentley
Geosci. Instrum. Method. Data Syst., 2, 151–156, https://doi.org/10.5194/gi-2-151-2013, https://doi.org/10.5194/gi-2-151-2013, 2013
M. D. Paton, A.-M. Harri, T. Mäkinen, and S. F. Green
Geosci. Instrum. Method. Data Syst., 1, 7–21, https://doi.org/10.5194/gi-1-7-2012, https://doi.org/10.5194/gi-1-7-2012, 2012
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Short summary
In this paper, we present an approach to represent underlying errors in measurements and physical models in the temporal gravity field determination using GRACE observations. This study provides an opportunity to improve the error model and the accuracy of the GRACE parameter estimation, as well as its successor GRACE Follow-On.
In this paper, we present an approach to represent underlying errors in measurements and...