F. Catapano, S. Buchert, E. Qamili, T. Nilsson, J. Bouffard, C. Siemes, I. Coco, R. D’Amicis, L. Tøffner-Clausen, L. Trenchi, Poul Erik Holmdahl Olsen, A. Strømme
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The data quality is assessed by analysing short and long data segments, where the latter are selected to be sufficiently long enough to\nconsider the impact of the solar activity. Langmuir probe data have been validated through comparison with numerical models, other satellite\nmissions, and ground observations. Based on the outcomes from quality control and validation activities conducted by ESA, as well as scientific\nanalysis and feedback provided by the user community, the Swarm products are regularly upgraded. In this paper, we discuss the data quality\nimprovements introduced with the latest baseline, and how the data quality is influenced by the solar cycle. In particular, plasma measurements are\nmore accurate in day-side regions during high solar activity, while electron temperature measurements are more reliable during night side at middle\nand low latitudes during low solar activity. The main anomalies affecting the Langmuir probe measurements are described, as well as possible\nimprovements in the derived plasma parameters to be implemented in future baselines.\n","PeriodicalId":48742,"journal":{"name":"Geoscientific Instrumentation Methods and Data Systems","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Swarm Langmuir probes' data quality validation and future improvements\",\"authors\":\"F. Catapano, S. Buchert, E. Qamili, T. Nilsson, J. Bouffard, C. Siemes, I. Coco, R. D’Amicis, L. Tøffner-Clausen, L. Trenchi, Poul Erik Holmdahl Olsen, A. Strømme\",\"doi\":\"10.5194/gi-11-149-2022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Swarm is the European Space Agency (ESA)'s first Earth observation constellation mission, which was launched in 2013 to study the geomagnetic field and its temporal\\nevolution. Two Langmuir probes aboard each of the three Swarm satellites provide in situ measurements of plasma parameters, which contribute to\\nthe study of the ionospheric plasma dynamics. To maintain a high data quality for scientific and technical applications, the Swarm products are\\ncontinuously monitored and validated via science-oriented diagnostics. This paper presents an overview of the data quality of the Swarm Langmuir\\nprobes' measurements. The data quality is assessed by analysing short and long data segments, where the latter are selected to be sufficiently long enough to\\nconsider the impact of the solar activity. Langmuir probe data have been validated through comparison with numerical models, other satellite\\nmissions, and ground observations. Based on the outcomes from quality control and validation activities conducted by ESA, as well as scientific\\nanalysis and feedback provided by the user community, the Swarm products are regularly upgraded. In this paper, we discuss the data quality\\nimprovements introduced with the latest baseline, and how the data quality is influenced by the solar cycle. In particular, plasma measurements are\\nmore accurate in day-side regions during high solar activity, while electron temperature measurements are more reliable during night side at middle\\nand low latitudes during low solar activity. 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Swarm Langmuir probes' data quality validation and future improvements
Abstract. Swarm is the European Space Agency (ESA)'s first Earth observation constellation mission, which was launched in 2013 to study the geomagnetic field and its temporal
evolution. Two Langmuir probes aboard each of the three Swarm satellites provide in situ measurements of plasma parameters, which contribute to
the study of the ionospheric plasma dynamics. To maintain a high data quality for scientific and technical applications, the Swarm products are
continuously monitored and validated via science-oriented diagnostics. This paper presents an overview of the data quality of the Swarm Langmuir
probes' measurements. The data quality is assessed by analysing short and long data segments, where the latter are selected to be sufficiently long enough to
consider the impact of the solar activity. Langmuir probe data have been validated through comparison with numerical models, other satellite
missions, and ground observations. Based on the outcomes from quality control and validation activities conducted by ESA, as well as scientific
analysis and feedback provided by the user community, the Swarm products are regularly upgraded. In this paper, we discuss the data quality
improvements introduced with the latest baseline, and how the data quality is influenced by the solar cycle. In particular, plasma measurements are
more accurate in day-side regions during high solar activity, while electron temperature measurements are more reliable during night side at middle
and low latitudes during low solar activity. The main anomalies affecting the Langmuir probe measurements are described, as well as possible
improvements in the derived plasma parameters to be implemented in future baselines.
期刊介绍:
Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following:
concepts, design, and description of instrumentation and data systems;
retrieval techniques of scientific products from measurements;
calibration and data quality assessment;
uncertainty in measurements;
newly developed and planned research platforms and community instrumentation capabilities;
major national and international field campaigns and observational research programs;
new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters;
networking of instruments for enhancing high temporal and spatial resolution of observations.
GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following:
foster scientific discussion;
maximize the effectiveness and transparency of scientific quality assurance;
enable rapid publication;
make scientific publications freely accessible.