Prediction for Arrival Time and Parameters of Corotation Interaction Regions using Earth–Mars Correlated Events from Tianwen-1, MAVEN, and Wind Observations
Using the Stream Interaction Regions list from the Tianwen-1/Mars Orbiter Magnetometer (MOMAG) data between 2021 November and 2021 December and from Wind observations, we present an accurate prediction for the arrival time and in situ parameters of corotating interaction regions (CIRs) when the Eart...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2024-01-01
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| Series: | The Astrophysical Journal |
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| Online Access: | https://doi.org/10.3847/1538-4357/ad2fab |
| _version_ | 1797213055710396416 |
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| author | Zhihui Zhong Chenglong Shen Yutian Chi Dongwei Mao Bin Miao Zhiyi Fu Junyan Liu Beatriz Sánchez-Cano Daniel Heyner Yuming Wang |
| author_facet | Zhihui Zhong Chenglong Shen Yutian Chi Dongwei Mao Bin Miao Zhiyi Fu Junyan Liu Beatriz Sánchez-Cano Daniel Heyner Yuming Wang |
| author_sort | Zhihui Zhong |
| collection | DOAJ |
| description | Using the Stream Interaction Regions list from the Tianwen-1/Mars Orbiter Magnetometer (MOMAG) data between 2021 November and 2021 December and from Wind observations, we present an accurate prediction for the arrival time and in situ parameters of corotating interaction regions (CIRs) when the Earth and Mars have large longitudinal separations. Since CIRs were detected earlier at Earth than at Mars during the period examined, we employ Earth-based CIR detections for predicting CIR observations at Mars. The arrival time is calculated by the Parker spiral model under the assumption of steady corotation of the Sun and coronal holes, while the in situ parameters are derived from Wind data through radial dependent scaling laws. The CIR prediction results are compared to the actual observations obtained from the MOMAG and Mars Ion and Neutral Particle Analyzer instruments onboard Tianwen-1, as well as the Magnetometer and Solar Wind Ion Analyzer instruments onboard MAVEN. The predicted arrival time is close to the observed values with relative errors less than 10%, and the expected in situ data show a good consistency with the Martian measurements. The comparison results indicate that the prediction method has good performance and will be helpful for comparative analysis with Tianwen-1 observations at Mars in the future. |
| first_indexed | 2024-04-24T10:52:12Z |
| format | Article |
| id | doaj.art-81862736514f4aa1819aceb355717868 |
| institution | Directory Open Access Journal |
| issn | 1538-4357 |
| language | English |
| last_indexed | 2024-04-24T10:52:12Z |
| publishDate | 2024-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal |
| spelling | doaj.art-81862736514f4aa1819aceb3557178682024-04-12T08:10:14ZengIOP PublishingThe Astrophysical Journal1538-43572024-01-01965211410.3847/1538-4357/ad2fabPrediction for Arrival Time and Parameters of Corotation Interaction Regions using Earth–Mars Correlated Events from Tianwen-1, MAVEN, and Wind ObservationsZhihui Zhong0https://orcid.org/0000-0002-5627-2377Chenglong Shen1https://orcid.org/0000-0002-3577-5223Yutian Chi2https://orcid.org/0000-0001-9315-4487Dongwei Mao3Bin Miao4Zhiyi Fu5https://orcid.org/0009-0005-3921-1360Junyan Liu6https://orcid.org/0009-0006-7051-0438Beatriz Sánchez-Cano7https://orcid.org/0000-0003-0277-3253Daniel Heyner8Yuming Wang9https://orcid.org/0000-0002-8887-3919Deep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of China ; clshen@ustc.edu.cnDeep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of China ; clshen@ustc.edu.cn; CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China , Hefei, 230026, People's Republic of ChinaInstitute of Deep Space Sciences , Deep Space Exploration Laboratory, Hefei, 230026, People's Republic of China ; ytchi@mail.ustc.edu.cnCAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of ChinaInstitute of Advanced Technology, University of Science and Technology of China , Hefei, 230026, People's Republic of ChinaCAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of ChinaCAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of ChinaSchool of Physics and Astronomy, University of Leicester , Leicester, UKInstitut für Geophysik und extraterrestrische Physik, Technische Universität Braunschweig , Braunschweig, GermanyDeep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China , Hefei, 230026, People's Republic of China ; clshen@ustc.edu.cn; CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China , Hefei, 230026, People's Republic of China; Anhui Mengcheng Geophysics National Observation and Research Station, University of Science and Technology of China , Mengcheng, Anhui, People's Republic of ChinaUsing the Stream Interaction Regions list from the Tianwen-1/Mars Orbiter Magnetometer (MOMAG) data between 2021 November and 2021 December and from Wind observations, we present an accurate prediction for the arrival time and in situ parameters of corotating interaction regions (CIRs) when the Earth and Mars have large longitudinal separations. Since CIRs were detected earlier at Earth than at Mars during the period examined, we employ Earth-based CIR detections for predicting CIR observations at Mars. The arrival time is calculated by the Parker spiral model under the assumption of steady corotation of the Sun and coronal holes, while the in situ parameters are derived from Wind data through radial dependent scaling laws. The CIR prediction results are compared to the actual observations obtained from the MOMAG and Mars Ion and Neutral Particle Analyzer instruments onboard Tianwen-1, as well as the Magnetometer and Solar Wind Ion Analyzer instruments onboard MAVEN. The predicted arrival time is close to the observed values with relative errors less than 10%, and the expected in situ data show a good consistency with the Martian measurements. The comparison results indicate that the prediction method has good performance and will be helpful for comparative analysis with Tianwen-1 observations at Mars in the future.https://doi.org/10.3847/1538-4357/ad2fabSpace weatherHeliosphere |
| spellingShingle | Zhihui Zhong Chenglong Shen Yutian Chi Dongwei Mao Bin Miao Zhiyi Fu Junyan Liu Beatriz Sánchez-Cano Daniel Heyner Yuming Wang Prediction for Arrival Time and Parameters of Corotation Interaction Regions using Earth–Mars Correlated Events from Tianwen-1, MAVEN, and Wind Observations The Astrophysical Journal Space weather Heliosphere |
| title | Prediction for Arrival Time and Parameters of Corotation Interaction Regions using Earth–Mars Correlated Events from Tianwen-1, MAVEN, and Wind Observations |
| title_full | Prediction for Arrival Time and Parameters of Corotation Interaction Regions using Earth–Mars Correlated Events from Tianwen-1, MAVEN, and Wind Observations |
| title_fullStr | Prediction for Arrival Time and Parameters of Corotation Interaction Regions using Earth–Mars Correlated Events from Tianwen-1, MAVEN, and Wind Observations |
| title_full_unstemmed | Prediction for Arrival Time and Parameters of Corotation Interaction Regions using Earth–Mars Correlated Events from Tianwen-1, MAVEN, and Wind Observations |
| title_short | Prediction for Arrival Time and Parameters of Corotation Interaction Regions using Earth–Mars Correlated Events from Tianwen-1, MAVEN, and Wind Observations |
| title_sort | prediction for arrival time and parameters of corotation interaction regions using earth mars correlated events from tianwen 1 maven and wind observations |
| topic | Space weather Heliosphere |
| url | https://doi.org/10.3847/1538-4357/ad2fab |
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