Articles | Volume 11, issue 1
https://doi.org/10.5194/gi-11-149-2022
https://doi.org/10.5194/gi-11-149-2022
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

Proton and heavy ion acceleration by stochastic fluctuations in the Earth's magnetotail
Filomena Catapano, Gaetano Zimbardo, Silvia Perri, Antonella Greco, and Anton V. Artemyev
Ann. Geophys., 34, 917–926, https://doi.org/10.5194/angeo-34-917-2016,https://doi.org/10.5194/angeo-34-917-2016, 2016
Short summary

Related subject area

Data quality
Airborne electromagnetic data levelling based on the structured variational method
Qiong Zhang, Xin Chen, Zhonghang Ji, Fei Yan, Zhengkun Jin, and Yunqing Liu
Geosci. Instrum. Method. Data Syst., 13, 193–203, https://doi.org/10.5194/gi-13-193-2024,https://doi.org/10.5194/gi-13-193-2024, 2024
Short summary
Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements
Daniel Juncu, Xavier Ceamanos, Isabel F. Trigo, Sandra Gomes, and Sandra C. Freitas
Geosci. Instrum. Method. Data Syst., 11, 389–412, https://doi.org/10.5194/gi-11-389-2022,https://doi.org/10.5194/gi-11-389-2022, 2022
Short summary
Evaluating methods for reconstructing large gaps in historic snow depth time series
Johannes Aschauer and Christoph Marty
Geosci. Instrum. Method. Data Syst., 10, 297–312, https://doi.org/10.5194/gi-10-297-2021,https://doi.org/10.5194/gi-10-297-2021, 2021
Short summary
Production of definitive data from Indonesian geomagnetic observatories
Relly Margiono, Christopher W. Turbitt, Ciarán D. Beggan, and Kathryn A. Whaler
Geosci. Instrum. Method. Data Syst., 10, 169–182, https://doi.org/10.5194/gi-10-169-2021,https://doi.org/10.5194/gi-10-169-2021, 2021
Short summary
Auroral classification ergonomics and the implications for machine learning
Derek McKay and Andreas Kvammen
Geosci. Instrum. Method. Data Syst., 9, 267–273, https://doi.org/10.5194/gi-9-267-2020,https://doi.org/10.5194/gi-9-267-2020, 2020
Short summary

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
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.