Articles | Volume 44, issue 1
https://doi.org/10.5194/angeo-44-461-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-44-461-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regular paper
| 
10 Jun 2026
Regular paper |
| 10 Jun 2026
| 10 Jun 2026
Juice-SWI during the Lunar-Earth-Gravity-Assist (LEGA) – Part 2: Instrument operations
Thibault Cavalié
CORRESPONDING AUTHOR
Univ. Bordeaux, CNRS, LAB, UMR 5804, 33600 Pessac, France
Raphael Moreno
LIRA, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, 5 place Jules Janssen, 92195 Meudon, France
Ladislav Rezac
CORRESPONDING AUTHOR
Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Fabrice Herpin
Univ. Bordeaux, CNRS, LAB, UMR 5804, 33600 Pessac, France
Christopher Jarchow
Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Paul Hartogh
Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Alberto Carrasco Gallardo
Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Samuel Goodyear
Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Pierre Mancini
Univ. Bordeaux, CNRS, LAB, UMR 5804, 33600 Pessac, France
Ali Schulz-Ravanbakhsh
Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Borys Dabrowski
Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Yasuko Kasai
Institute of Science Tokyo, Tokyo, Japan
Emmanuel Lellouch
LIRA, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, 5 place Jules Janssen, 92195 Meudon, France
Axel Murk
Institute of Applied Physics, University of Bern, Sidlerstrasse 5, Bern, 3012, Bern, Switzerland
Donal Murtagh
Department of Physics and Astronomy, Chalmers University of Technology, 412 96 Gothenburg, Sweden
Michael Olberg
Department of Physics and Astronomy, Chalmers University of Technology, 412 96 Gothenburg, Sweden
Miriam Rengel
Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Hideo Sagawa
Faculty of Science, Kyoto Sangyo University, Kamigamo-Motoyama, Kita-ku, Kyoto 603-8555, Japan
Slawomira Szutowicz
Centrum Badán Kosmicznych Polskiej Akademii Nauk, Bartycka 18A, Warsaw, Poland
Eva Wirström
Department of Physics and Astronomy, Chalmers University of Technology, 412 96 Gothenburg, Sweden
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Raphael Moreno, Ladislav Rezac, Tomáš Formánek, Thibault Cavalié, Christopher Jarchow, Emmanuel Lellouch, Paul Hartogh, Axel Murk, Mikko Kotiranta, Alberto Carrasco Gallardo, Samuel Goodyear, Ali Schulz-Ravanbakhsh, Borys Dabrowski, Fabrice Herpin, Yasuko Kasai, Donal Murtagh, Michael Olberg, Miriam Rengel, Hideo Sagawa, Slawomira Szutowicz, and Eva Wirström
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During the double Lunar-Earth Gravitational Assist with the ESA/JUICE (Jupiter Icy Moons Explorer) spacecraft in August 2024, we acquired hyperspectral data cubes of both the Moon and Earth with the MAJIS (Moons And Jupiter Imaging Spectrometer) imaging spectrometer under challenging, real in-flight conditions. This allowed to characterize surface materials and thermophysical properties on the Moon, identify various cloud phases and gases in Earth's atmosphere, and thoroughly validate the performance of the instrument.
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The Submillimetre Wave Instrument (SWI) onboard the Jupiter Icy Moons Explorer (Juice) spacecraft consists of a 29 cm antenna and two radio receivers operating at submillimeter wavelength. This instrument is designed to study Jupiter's atmosphere and the thin atmospheres of its moons.
We used Earth observations obtained during the Lunar-Earth-Gravity-Assist (LEGA) . This data analysis allows us to characterise the antenna beam and pointing corrections.
Christopher Jarchow, Ladislav Rezac, Paul Hartogh, Ali Schulz-Ravanbakhsh, Thibault Cavalie, Fabrice Herpin, Raphael Moreno, and Axel Murk
EGUsphere, https://doi.org/10.5194/egusphere-2026-1096, https://doi.org/10.5194/egusphere-2026-1096, 2026
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The Jupiter Icy Moons Explorer is a spacecraft sent towards Jupiter to perform detailed observations of the giant gas planet & its Galilean satellites. The Submillimetre Wave Instrument onboard this spacecraft is a newly built instrument, which first of all has to demonstrate proper performance before the observed data can be trusted. Using the Earth as a well-known observation target, proper functionality of this instrument has been verified during the Lunar Earth Gravity Assist in August 2024.
Paul Hartogh, Ladislav Rezac, Thibault Cavalié, Christopher Jarchow, Raphael Moreno, Ali Schulz-Ravanbakhsh, Alberto Carrasco Gallardo, Borys Dabrowski, Samuel Goodyear, Miriam Rengel, Fabrice Herpin, Yasuko Kasai, Mikko Kotiranta, Emmanuel Lellouch, Axel Murk, Michael Olberg, Slawomira Szutowicz, and Eva Wirström
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We provide an introduction and overview about the initial Submillimetre Wave Instrument (SWI) characterization, operation, and in-flight calibration during the Lunar Earth Gravity Assist (LEGA) campaign of the Juice (Jupiter icy moons) spacecraft. A preliminary analysis on the frequency calibration is provided. For detailed analyses on total power and beam calibration and the observation and operations planning we refer to three other SWI papers prepared for this special issue of ANGEO.
François Poulet, Giuseppe Piccioni, Yves Langevin, Cydalise Dumesnil, Vincent Carlier, Benoit Seignovert, Marc Dexet, Leigh N. Fletcher, Cédric Leyrat, Francesca Altieri, John Carter, Emiliano D'Aversa, Maria De Sanctis, Davide Grassi, Sandrine Guerlet, Stéphane Le Mouélic, Alessandra Migliorini, Fabrizio Oliva, Clément Royer, Sébastien Rodriguez, Katrin Stephan, Federico Tosi, Francesca Zambon, Alberto Adriani, Gabriele Arnold, Jean-Pierre Bibring, Dominique Bockelée, Rosario Brunetto, Fabrizio Capaccioni, Cristian Carli, Thibault Cavalié, Miriam Cisneros González, Mauro Ciarnello, Simone De Angelis, Pierre Drossart, Gianrico Filacchione, Thierry Fouchet, Jean-Claude Gérard, Denis Grodent, Patrick Irwin, Sophie Jacquinod, Ozgur Karatekin, Emmanuel Lellouch, Nicolas Ligier, Nicolas Mangold, Magali Mebsout, Frédéric Merlin, Alessandro Morbidelli, Alessandro Mura, Andreas Nathues, Maria E. Palumbo, Cédric Pilorget, Olivier Poch, Eric Quirico, Andrea Raponi, Séverine Robert, Elias Roussos, Agustin Sanchez-Lavega, Bernard Schmitt, Giuseppe Sindoni, Marcel Snels, Roberto Sordini, Stefania Stefani, Giovanni Strazzulla, Tim Trent, Gabriel Tobie, Diego Turrini, Ann-Carine Vandaele, Mathieu Vincendon, Olivier Witasse, Claire Vallat, and Alessandro Moraino
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During the double Lunar-Earth Gravitational Assist with the ESA/JUICE (Jupiter Icy Moons Explorer) spacecraft in August 2024, we acquired hyperspectral data cubes of both the Moon and Earth with the MAJIS (Moons And Jupiter Imaging Spectrometer) imaging spectrometer under challenging, real in-flight conditions. This allowed to characterize surface materials and thermophysical properties on the Moon, identify various cloud phases and gases in Earth's atmosphere, and thoroughly validate the performance of the instrument.
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Judit Pérez-Coll Jiménez, Nickolay Ivchenko, Ceona Lindstein, Lukas Krasauskas, Jonas Hedin, Donal P. Murtagh, Linda Megner, Björn Linder, and Jörg Gumbel
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This study uses images taken by the Swedish satellite MATS (Mesospheric Airglow Tomography and Spectroscopy) to conduct a statistical analysis of the molecular oxygen atmospheric band emissions in the aurora. This auroral emission can not be observed from the ground, making it one of the least understood auroral emissions. Our results provide a new dataset with information on the peak altitude, geomagnetic location, and auroral intensity of 378 events detected between February and April 2023.
Björn Linder, Lukas Krasauskas, Linda Megner, and Donal P. Murtagh
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The Swedish satellite MATS (Mesospheric Airglow/Aerosol Tomography and Spectroscopy) conducts global measurements of atmospheric airglow in the mesosphere and lower thermosphere. In this article, we present the first global results from the mission. Observations from February to April 2023 show that the emission strength is largely controlled by atmospheric tides and by perturbations introduced by a propagating planetary wave.
Björn Linder, Jörg Gumbel, Donal P. Murtagh, Linda Megner, Lukas Krasauskas, Doug Degenstein, Ole Martin Christensen, and Nickolay Ivchenko
Atmos. Meas. Tech., 18, 4453–4466, https://doi.org/10.5194/amt-18-4453-2025, https://doi.org/10.5194/amt-18-4453-2025, 2025
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In this study, the primary instrument carried by the satellite MATS is compared to the OSIRIS instrument on board the Odin satellite. A total of 36 close approaches between December 2022 and February 2023 were identified and analysed. The comparison reveals that the two instruments have good structural agreement and that MATS detects a signal that is ~20 % stronger than what is measured by OSIRIS.
Yajun Xu, Tomohiro O. Sato, Ayano Nakamura, Tamaki Fujinawa, Suyun Wang, and Yasuko Kasai
EGUsphere, https://doi.org/10.5194/egusphere-2024-194, https://doi.org/10.5194/egusphere-2024-194, 2024
Preprint withdrawn
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Usually, the vertical column density of NO2 is obtained by converting the slant column density derived from the measured spectra using an air mass factor (AMF). This work proposes two deep neural network models for calculating the tropospheric AMF and altitude-dependent AMF. Experiments shown that the RMSPE and computation time are approximately 30 times smaller and two times shorter compared to the traditional method.
Michael Kiefer, Dale F. Hurst, Gabriele P. Stiller, Stefan Lossow, Holger Vömel, John Anderson, Faiza Azam, Jean-Loup Bertaux, Laurent Blanot, Klaus Bramstedt, John P. Burrows, Robert Damadeo, Bianca Maria Dinelli, Patrick Eriksson, Maya García-Comas, John C. Gille, Mark Hervig, Yasuko Kasai, Farahnaz Khosrawi, Donal Murtagh, Gerald E. Nedoluha, Stefan Noël, Piera Raspollini, William G. Read, Karen H. Rosenlof, Alexei Rozanov, Christopher E. Sioris, Takafumi Sugita, Thomas von Clarmann, Kaley A. Walker, and Katja Weigel
Atmos. Meas. Tech., 16, 4589–4642, https://doi.org/10.5194/amt-16-4589-2023, https://doi.org/10.5194/amt-16-4589-2023, 2023
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We quantify biases and drifts (and their uncertainties) between the stratospheric water vapor measurement records of 15 satellite-based instruments (SATs, with 31 different retrievals) and balloon-borne frost point hygrometers (FPs) launched at 27 globally distributed stations. These comparisons of measurements during the period 2000–2016 are made using robust, consistent statistical methods. With some exceptions, the biases and drifts determined for most SAT–FP pairs are < 10 % and < 1 % yr−1.
William G. Read, Gabriele Stiller, Stefan Lossow, Michael Kiefer, Farahnaz Khosrawi, Dale Hurst, Holger Vömel, Karen Rosenlof, Bianca M. Dinelli, Piera Raspollini, Gerald E. Nedoluha, John C. Gille, Yasuko Kasai, Patrick Eriksson, Christopher E. Sioris, Kaley A. Walker, Katja Weigel, John P. Burrows, and Alexei Rozanov
Atmos. Meas. Tech., 15, 3377–3400, https://doi.org/10.5194/amt-15-3377-2022, https://doi.org/10.5194/amt-15-3377-2022, 2022
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This paper attempts to provide an assessment of the accuracy of 21 satellite-based instruments that remotely measure atmospheric humidity in the upper troposphere of the Earth's atmosphere. The instruments made their measurements from 1984 to the present time; however, most of these instruments began operations after 2000, and only a few are still operational. The objective of this study is to quantify the accuracy of each satellite humidity data set.
Patrick E. Sheese, Kaley A. Walker, Chris D. Boone, Adam E. Bourassa, Doug A. Degenstein, Lucien Froidevaux, C. Thomas McElroy, Donal Murtagh, James M. Russell III, and Jiansheng Zou
Atmos. Meas. Tech., 15, 1233–1249, https://doi.org/10.5194/amt-15-1233-2022, https://doi.org/10.5194/amt-15-1233-2022, 2022
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This study analyzes the quality of two versions (v3.6 and v4.1) of ozone concentration measurements from the ACE-FTS (Atmospheric Chemistry Experiment Fourier Transform Spectrometer), by comparing with data from five satellite instruments between 2004 and 2020. It was found that although the v3.6 data exhibit a better agreement than v4.1 with respect to the other instruments, v4.1 exhibits much better stability over time than v3.6. The stability of v4.1 makes it suitable for ozone trend studies.
Anqi Li, Chris Z. Roth, Adam E. Bourassa, Douglas A. Degenstein, Kristell Pérot, Ole Martin Christensen, and Donal P. Murtagh
Earth Syst. Sci. Data, 13, 5115–5126, https://doi.org/10.5194/essd-13-5115-2021, https://doi.org/10.5194/essd-13-5115-2021, 2021
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The nightglow emission originating from the vibrationally excited hydroxyl layer (about 85 km altitude) has been measured by the infrared imager (IRI) on the Odin satellite for more than 15 years. In this study, we document the retrieval steps, the resulting volume emission rates and the layer characteristics. Finally, we use the monthly zonal averages to demonstrate the fidelity of the data set. This unique, long-term data set will be valuable for studying various topics near the mesopause.
Francesco Grieco, Kristell Pérot, Donal Murtagh, Patrick Eriksson, Bengt Rydberg, Michael Kiefer, Maya Garcia-Comas, Alyn Lambert, and Kaley A. Walker
Atmos. Meas. Tech., 14, 5823–5857, https://doi.org/10.5194/amt-14-5823-2021, https://doi.org/10.5194/amt-14-5823-2021, 2021
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We present improved Odin/SMR mesospheric H2O concentration and temperature data sets, reprocessed assuming a bigger sideband leakage of the instrument. The validation study shows how the improved SMR data sets agree better with other instruments' observations than the old SMR version did. Given their unique time extension and geographical coverage, and H2O being a good tracer of mesospheric circulation, the new data sets are valuable for the study of dynamical processes and multi-year trends.
Hyunkwang Lim, Sujung Go, Jhoon Kim, Myungje Choi, Seoyoung Lee, Chang-Keun Song, and Yasuko Kasai
Atmos. Meas. Tech., 14, 4575–4592, https://doi.org/10.5194/amt-14-4575-2021, https://doi.org/10.5194/amt-14-4575-2021, 2021
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Aerosol property observations by satellites from geostationary Earth orbit (GEO) in particular have advantages of frequent sampling better than 1 h in addition to broader spatial coverage. This study provides data fusion products of aerosol optical properties from four different algorithms for two different GEO satellites: GOCI and AHI. The fused aerosol products adopted ensemble-mean and maximum-likelihood estimation methods. The data fusion provides improved results with better accuracy.
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Short summary
The Submillimetre Wave Instrument (SWI) aboard the Juice mission is a sophisticated and first-of-its-kind payload. SWI is designed to support the diverse science objectives of the Juice mission targeting Jupiter's middle atmosphere, icy-moon's exospheres as well as near sub-surface thermophysical properties. This presents significant planning, operations and commanding challenges which are described in this paper in the context of the Lunar and Earth Gravity Assist (LEGA).
The Submillimetre Wave Instrument (SWI) aboard the Juice mission is a sophisticated and...
