2022
DOI: 10.3390/rs14184498
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The Comparison of Electron Density between CSES In Situ and Ground-Based Observations in China

Abstract: As the observation accuracy of parameters in the ionosphere cannot be directly checked, the comparison with other observations is the main way to evaluate the data quality of satellite measurements. Through the comparative analysis between the in situ electron density (Ne) observed by the China Seismo-Electromagnetic Satellite (CSES) and Ne at about 500 km altitude detected by Qujing Incoherent Scatter Radar (ISR), it was found that the pattern of CSES Ne is consistent with that of ISR Ne, and the correlation … Show more

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Cited by 2 publications
(2 citation statements)
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“…Several studies compared and validated CSES-01 LP N e observations against observations made by incoherent scatter radars and similar LEO satellites, as well as against corresponding values provided by ionospheric models [30][31][32][33][34]. There is good agreement among these studies in highlighting a general underestimation of N e values recorded by CSES-01 when compared to different data sources.…”
Section: Cses-01 Langmuir Probe Observationsmentioning
confidence: 85%
“…Several studies compared and validated CSES-01 LP N e observations against observations made by incoherent scatter radars and similar LEO satellites, as well as against corresponding values provided by ionospheric models [30][31][32][33][34]. There is good agreement among these studies in highlighting a general underestimation of N e values recorded by CSES-01 when compared to different data sources.…”
Section: Cses-01 Langmuir Probe Observationsmentioning
confidence: 85%
“…Marchetti et al [3] integrated CSES measurements (especially Ne) with those of other anomalies from the lithosphere and atmosphere, as well as Swarm satellite measurements, for large earthquakes in the Indonesian region. Liu et al [4] Liu evaluated the data quality of satellite measurements of ionospheric parameters by comparing them with in situ observations and ionosonde data. Yang et al [5] Remote Sens.…”
Section: Introductionmentioning
confidence: 99%