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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Mar 2022
Research article |
| 24 Mar 2022
| 24 Mar 2022
Swarm Langmuir probes' data quality validation and future improvements
Filomena Catapano
CORRESPONDING AUTHOR
Serco c/o ESA, ESRIN, Earth Observation Directorate, Frascati, Italy
Stephan Buchert
Swedish Institute of Space Physics, Uppsala, Sweden
Enkelejda Qamili
Serco c/o ESA, ESRIN, Earth Observation Directorate, Frascati, Italy
Thomas Nilsson
Swedish Institute of Space Physics, Uppsala, Sweden
Jerome Bouffard
European Space Agency (ESA), Earth Observation Directorate, Frascati, Italy
Christian Siemes
Delft University of Technology, Delft, the Netherlands
Igino Coco
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Rome, Italy
Raffaella D'Amicis
National Institute for Astrophysics, Institute for Space Astrophysics and Planetology, Rome, Italy
Lars Tøffner-Clausen
DTU Space, Technical University of Denmark, Kongens Lyngby, Denmark
Lorenzo Trenchi
Serco c/o ESA, ESRIN, Earth Observation Directorate, Frascati, Italy
Poul Erik Holmdahl Olsen
DTU Space, Technical University of Denmark, Kongens Lyngby, Denmark
Anja Stromme
European Space Agency (ESA), Earth Observation Directorate, Frascati, Italy
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Cited
18 citations as recorded by crossref.
- Validation of Swarm Langmuir Probes by Incoherent Scatter Radars at High Latitudes H. Fast et al. 10.3390/rs15071846
- Mid- and High-Latitude Electron Temperature Dependence on Solar Activity in the Topside Ionosphere through the Swarm B Satellite Observations and the International Reference Ionosphere Model A. Pignalberi et al. 10.3390/atmos15040490
- Analyses of data from the first Chinese seismo electromagnetic satellite (CSES-01) together with other earthquake precursors associated with the Turkey earthquakes (February 6, 2023) M. Akhoondzadeh 10.1515/jag-2024-0024
- Ionosphere Heterogeneities at Dawn−Dusk Terminator Related to the Starlink Satellites Launch Disaster on 3−8 February 2022 T. Gulyaeva et al. 10.1029/2023JA031577
- Investigation of the Topside Ionosphere over Cyprus and Russia Using Swarm Data H. Haralambous et al. 10.3390/rs15051344
- Validation of the IRI-2020 topside ionosphere options through in-situ electron density observations by low-Earth-orbit satellites A. Pignalberi et al. 10.1016/j.asr.2024.05.056
- Modeling the Topside Ionosphere Effective Scale Height through In Situ Electron Density Observations by Low-Earth-Orbit Satellites A. Pignalberi et al. 10.3390/universe9060280
- Satellite-based electron density background definition at mid-latitudes and comparison with IRI-2016 model under different solar conditions D. Sabbagh et al. 10.1016/j.asr.2023.05.029
- On the low-latitude NeQuick topside ionosphere mismodelling: The role of parameters H0, g, and r M. Pezzopane et al. 10.1016/j.asr.2023.04.014
- Inter-Calibration and Statistical Validation of Topside Ionosphere Electron Density Observations Made by CSES-01 Mission A. Pignalberi et al. 10.3390/rs14184679
- Swarm A and C Accelerometers: Data Validation and Scientific Interpretation E. Iorfida et al. 10.1029/2022EA002458
- Multi-scale response of the high-latitude topside ionosphere to geospace forcing J. Urbar et al. 10.1016/j.asr.2022.06.045
- A neural network for the analysis of Langmuir-probe characteristics J. Joshi-Thompson & M. Ramisch 10.1088/1361-6587/ad7289
- Ionosphere variability I: Advances in observational, monitoring and detection capabilities I. Tsagouri et al. 10.1016/j.asr.2023.07.024
- Perpendicular Electrical Conductivity in the Topside Ionosphere Derived from Swarm Measurements F. Giannattasio et al. 10.3390/rs16173129
- An Update of the NeQuick-Corr Topside Ionosphere Modeling Based on New Datasets M. Pezzopane et al. 10.3390/atmos15040498
- The Comparison of Electron Density between CSES In Situ and Ground-Based Observations in China J. Liu et al. 10.3390/rs14184498
- Solar Flux Influence on the In‐Situ Plasma Density at Topside Ionosphere Measured by Swarm Satellites C. Xiong et al. 10.1029/2022JA030275
16 citations as recorded by crossref.
- Validation of Swarm Langmuir Probes by Incoherent Scatter Radars at High Latitudes H. Fast et al. 10.3390/rs15071846
- Mid- and High-Latitude Electron Temperature Dependence on Solar Activity in the Topside Ionosphere through the Swarm B Satellite Observations and the International Reference Ionosphere Model A. Pignalberi et al. 10.3390/atmos15040490
- Analyses of data from the first Chinese seismo electromagnetic satellite (CSES-01) together with other earthquake precursors associated with the Turkey earthquakes (February 6, 2023) M. Akhoondzadeh 10.1515/jag-2024-0024
- Ionosphere Heterogeneities at Dawn−Dusk Terminator Related to the Starlink Satellites Launch Disaster on 3−8 February 2022 T. Gulyaeva et al. 10.1029/2023JA031577
- Investigation of the Topside Ionosphere over Cyprus and Russia Using Swarm Data H. Haralambous et al. 10.3390/rs15051344
- Validation of the IRI-2020 topside ionosphere options through in-situ electron density observations by low-Earth-orbit satellites A. Pignalberi et al. 10.1016/j.asr.2024.05.056
- Modeling the Topside Ionosphere Effective Scale Height through In Situ Electron Density Observations by Low-Earth-Orbit Satellites A. Pignalberi et al. 10.3390/universe9060280
- Satellite-based electron density background definition at mid-latitudes and comparison with IRI-2016 model under different solar conditions D. Sabbagh et al. 10.1016/j.asr.2023.05.029
- On the low-latitude NeQuick topside ionosphere mismodelling: The role of parameters H0, g, and r M. Pezzopane et al. 10.1016/j.asr.2023.04.014
- Inter-Calibration and Statistical Validation of Topside Ionosphere Electron Density Observations Made by CSES-01 Mission A. Pignalberi et al. 10.3390/rs14184679
- Swarm A and C Accelerometers: Data Validation and Scientific Interpretation E. Iorfida et al. 10.1029/2022EA002458
- Multi-scale response of the high-latitude topside ionosphere to geospace forcing J. Urbar et al. 10.1016/j.asr.2022.06.045
- A neural network for the analysis of Langmuir-probe characteristics J. Joshi-Thompson & M. Ramisch 10.1088/1361-6587/ad7289
- Ionosphere variability I: Advances in observational, monitoring and detection capabilities I. Tsagouri et al. 10.1016/j.asr.2023.07.024
- Perpendicular Electrical Conductivity in the Topside Ionosphere Derived from Swarm Measurements F. Giannattasio et al. 10.3390/rs16173129
- An Update of the NeQuick-Corr Topside Ionosphere Modeling Based on New Datasets M. Pezzopane et al. 10.3390/atmos15040498
2 citations as recorded by crossref.
Latest update: 13 Dec 2024
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.
The quality control and validation activities performed by the Swarm data quality team reveal...
