Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory
In 2023, the ESA’s Swarm constellation mission celebrates 10 years in orbit, offering one of the best ever surveys of the topside ionosphere. Among its achievements, it has been recently demonstrated that Swarm data can be used to derive space-based geomagnetic activity indices, similar to the stand...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/14/5/890 |
| _version_ | 1827742094631895040 |
|---|---|
| author | Georgios Balasis Adamantia Zoe Boutsi Constantinos Papadimitriou Stelios M. Potirakis Vasilis Pitsis Ioannis A. Daglis Anastasios Anastasiadis Omiros Giannakis |
| author_facet | Georgios Balasis Adamantia Zoe Boutsi Constantinos Papadimitriou Stelios M. Potirakis Vasilis Pitsis Ioannis A. Daglis Anastasios Anastasiadis Omiros Giannakis |
| author_sort | Georgios Balasis |
| collection | DOAJ |
| description | In 2023, the ESA’s Swarm constellation mission celebrates 10 years in orbit, offering one of the best ever surveys of the topside ionosphere. Among its achievements, it has been recently demonstrated that Swarm data can be used to derive space-based geomagnetic activity indices, similar to the standard ground-based geomagnetic indices monitoring magnetic storm and magnetospheric substorm activity. Recently, many novel concepts originating in time series analysis based on information theory have been developed, partly motivated by specific research questions linked to various domains of geosciences, including space physics. Here, we apply information theory approaches (i.e., Hurst exponent and a variety of entropy measures) to analyze the Swarm-derived magnetic indices from 2015, a year that included three out of the four most intense magnetic storm events of the previous solar cycle, including the strongest storm of solar cycle 24. We show the applicability of information theory to study the dynamical complexity of the upper atmosphere, through highlighting the temporal transition from the quiet-time to the storm-time magnetosphere, which may prove significant for space weather studies. Our results suggest that the spaceborne indices have the capacity to capture the same dynamics and behaviors, with regards to their informational content, as traditionally used ground-based ones. |
| first_indexed | 2024-03-11T03:57:22Z |
| format | Article |
| id | doaj.art-150f5825e33d4fbab66a07a2bfb80836 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-11T03:57:22Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-150f5825e33d4fbab66a07a2bfb808362023-11-18T00:26:24ZengMDPI AGAtmosphere2073-44332023-05-0114589010.3390/atmos14050890Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information TheoryGeorgios Balasis0Adamantia Zoe Boutsi1Constantinos Papadimitriou2Stelios M. Potirakis3Vasilis Pitsis4Ioannis A. Daglis5Anastasios Anastasiadis6Omiros Giannakis7Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens-Metaxa and Vas. Pavlou St., 15236 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens-Metaxa and Vas. Pavlou St., 15236 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens-Metaxa and Vas. Pavlou St., 15236 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens-Metaxa and Vas. Pavlou St., 15236 Athens, GreeceDepartment of Physics, National and Kapodistrian University of Athens-Panepistimiopolis, 15784 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens-Metaxa and Vas. Pavlou St., 15236 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens-Metaxa and Vas. Pavlou St., 15236 Athens, GreeceInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens-Metaxa and Vas. Pavlou St., 15236 Athens, GreeceIn 2023, the ESA’s Swarm constellation mission celebrates 10 years in orbit, offering one of the best ever surveys of the topside ionosphere. Among its achievements, it has been recently demonstrated that Swarm data can be used to derive space-based geomagnetic activity indices, similar to the standard ground-based geomagnetic indices monitoring magnetic storm and magnetospheric substorm activity. Recently, many novel concepts originating in time series analysis based on information theory have been developed, partly motivated by specific research questions linked to various domains of geosciences, including space physics. Here, we apply information theory approaches (i.e., Hurst exponent and a variety of entropy measures) to analyze the Swarm-derived magnetic indices from 2015, a year that included three out of the four most intense magnetic storm events of the previous solar cycle, including the strongest storm of solar cycle 24. We show the applicability of information theory to study the dynamical complexity of the upper atmosphere, through highlighting the temporal transition from the quiet-time to the storm-time magnetosphere, which may prove significant for space weather studies. Our results suggest that the spaceborne indices have the capacity to capture the same dynamics and behaviors, with regards to their informational content, as traditionally used ground-based ones.https://www.mdpi.com/2073-4433/14/5/890geospace magnetic stormsmagnetospheric substormsSwarm satellitesinformation theorywaveletsHurst exponent |
| spellingShingle | Georgios Balasis Adamantia Zoe Boutsi Constantinos Papadimitriou Stelios M. Potirakis Vasilis Pitsis Ioannis A. Daglis Anastasios Anastasiadis Omiros Giannakis Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory Atmosphere geospace magnetic storms magnetospheric substorms Swarm satellites information theory wavelets Hurst exponent |
| title | Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory |
| title_full | Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory |
| title_fullStr | Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory |
| title_full_unstemmed | Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory |
| title_short | Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory |
| title_sort | investigation of dynamical complexity in swarm derived geomagnetic activity indices using information theory |
| topic | geospace magnetic storms magnetospheric substorms Swarm satellites information theory wavelets Hurst exponent |
| url | https://www.mdpi.com/2073-4433/14/5/890 |
| work_keys_str_mv | AT georgiosbalasis investigationofdynamicalcomplexityinswarmderivedgeomagneticactivityindicesusinginformationtheory AT adamantiazoeboutsi investigationofdynamicalcomplexityinswarmderivedgeomagneticactivityindicesusinginformationtheory AT constantinospapadimitriou investigationofdynamicalcomplexityinswarmderivedgeomagneticactivityindicesusinginformationtheory AT steliosmpotirakis investigationofdynamicalcomplexityinswarmderivedgeomagneticactivityindicesusinginformationtheory AT vasilispitsis investigationofdynamicalcomplexityinswarmderivedgeomagneticactivityindicesusinginformationtheory AT ioannisadaglis investigationofdynamicalcomplexityinswarmderivedgeomagneticactivityindicesusinginformationtheory AT anastasiosanastasiadis investigationofdynamicalcomplexityinswarmderivedgeomagneticactivityindicesusinginformationtheory AT omirosgiannakis investigationofdynamicalcomplexityinswarmderivedgeomagneticactivityindicesusinginformationtheory |