Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/gi-11-149-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-11-149-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
Research article
 | 
24 Mar 2022
Research article |  | 24 Mar 2022

Swarm Langmuir probes' data quality validation and future improvements

Filomena Catapano, Stephan Buchert, Enkelejda Qamili, Thomas Nilsson, Jerome Bouffard, Christian Siemes, Igino Coco, Raffaella D'Amicis, Lars Tøffner-Clausen, Lorenzo Trenchi, Poul Erik Holmdahl Olsen, and Anja Stromme

Related authors

Storm-time Energy Budget in the High Latitude Lower Thermosphere-Ionosphere: Quantification of Energy Exchange and Comparison of Different Drivers in TIE-GCM
Stelios Tourgaidis, Dimitrios Baloukidis, Theodoros Sarris, Stephan Buchert, Panagiotis Pirnaris, and Konstantinos Papadakis
EGUsphere, https://doi.org/10.5194/egusphere-2025-4315,https://doi.org/10.5194/egusphere-2025-4315, 2025
This preprint is open for discussion and under review for Annales Geophysicae (ANGEO).
Short summary
Altimetric Ku-band Radar Observations of Snow on Sea Ice Simulated with SMRT
Julien Meloche, Melody Sandells, Henning Löwe, Nick Rutter, Richard Essery, Ghislain Picard, Randall K. Scharien, Alexandre Langlois, Matthias Jaggi, Josh King, Peter Toose, Jérôme Bouffard, Alessandro Di Bella, and Michele Scagliola
EGUsphere, https://doi.org/10.5194/egusphere-2024-1583,https://doi.org/10.5194/egusphere-2024-1583, 2024
Preprint archived
Short summary
Daedalus Ionospheric Profile Continuation (DIPCont): Monte Carlo studies assessing the quality of in situ measurement extrapolation
Joachim Vogt, Octav Marghitu, Adrian Blagau, Leonie Pick, Nele Stachlys, Stephan Buchert, Theodoros Sarris, Stelios Tourgaidis, Thanasis Balafoutis, Dimitrios Baloukidis, and Panagiotis Pirnaris
Geosci. Instrum. Method. Data Syst., 12, 239–257, https://doi.org/10.5194/gi-12-239-2023,https://doi.org/10.5194/gi-12-239-2023, 2023
Short summary
Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements
Florent Garnier, Sara Fleury, Gilles Garric, Jérôme Bouffard, Michel Tsamados, Antoine Laforge, Marion Bocquet, Renée Mie Fredensborg Hansen, and Frédérique Remy
The Cryosphere, 15, 5483–5512, https://doi.org/10.5194/tc-15-5483-2021,https://doi.org/10.5194/tc-15-5483-2021, 2021
Short summary
Characteristics of fragmented aurora-like emissions (FAEs) observed on Svalbard
Joshua Dreyer, Noora Partamies, Daniel Whiter, Pål G. Ellingsen, Lisa Baddeley, and Stephan C. Buchert
Ann. Geophys., 39, 277–288, https://doi.org/10.5194/angeo-39-277-2021,https://doi.org/10.5194/angeo-39-277-2021, 2021
Short summary
More articles (3)

Cited articles

Abe, T. and Oyama, K.-i.: Langmuir Probe, in: An Introduction to Space Instrumentation, edited by: Oyama, K. and Cheng, C. Z., TERRAPUB, Japan, 63–75, https://doi.org/10.5047/aisi.010, 2013. a
Archer, W. E., Gallardo-Lacourt, B., Perry, G. W., St.-Maurice, J. P., Buchert, S. C., and Donovan, E.: Steve: The Optical Signature of Intense Subauroral Ion Drifts, Geophys. Res. Lett., 46, 6279–6286, https://doi.org/10.1029/2019GL082687, 2019. a, b, c, d
Bilitza, D.: IRI the International Standard for the Ionosphere, Adv. Radio Sci., 16, 1–11, https://doi.org/10.5194/ars-16-1-2018, 2018. a
Boyd, R. L. F.: An Introduction to Langmuir Probes for Space Research, in: Introduction to Solar Terrestrial Relations, edited by: Ortner, J. and Maseland, H., Astrophysics and Space Science Library, Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-94-010-3590-3_39, pp. 455–465, 1965. a
Buchert, S. and Nilsson, T.: Swarm level 1b Plasma processor algorithm, ESA, https://earth.esa.int/eogateway/documents/20142/37627/swarm-level-1b-plasma-processor-algorithm.pdf/bae64759-b901-d961-4d18-0a5b317f8c12 (last access: 31 July 2021), , 2018. a
More articles (42)
Download
Short summary
The quality control and validation activities performed by the Swarm data quality team reveal the good-quality LPs. The analysis demonstrated that the current baseline plasma data products are improved with respect to previous baseline. The LPs have captured the ionospheric plasma variability over more than half of a solar cycle, revealing the data quality dependence on the solar activity. The quality of the LP data will further improve promotion of their application to a broad range of studies.
Read more
Share