Reconstructing Synoptic Maps of Solar Wind Radial Velocity between 20 and 60 R ⊙ Based on STEREO/HI1 Images
Previously, we developed a correlation-aided reconstruction method to recognize and locate solar wind transients observed by the Heliospheric Imager-1 (HI1) on board the Solar Terrestrial Relations Observatory and then developed a technique to infer the radial velocity distribution in each solar win...
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IOP Publishing
2023-01-01
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Online Access: | https://doi.org/10.3847/1538-4357/acc6c8 |
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author | Xiaolei Li Yuming Wang Fang Shen Yi Yang Quanhao Zhang Shaoyu Lyu |
author_facet | Xiaolei Li Yuming Wang Fang Shen Yi Yang Quanhao Zhang Shaoyu Lyu |
author_sort | Xiaolei Li |
collection | DOAJ |
description | Previously, we developed a correlation-aided reconstruction method to recognize and locate solar wind transients observed by the Heliospheric Imager-1 (HI1) on board the Solar Terrestrial Relations Observatory and then developed a technique to infer the radial velocity distribution in each solar wind transient. Considering that the common field of view of HI1 may cover the full longitudes through the solar rotation, we further apply these methods to small-scale transients (STs) in a complete Carrington rotation to reconstruct a synoptic map of the solar wind radial velocity. Our test suggests that the reconstructed synoptic map is in agreement with the preset synthetic STs in latitude, longitude, and radial velocity. Then, Carrington rotation 2095 between 2010 March 26 and April 22 is selected to demonstrate the new technique. The derived synoptic map shows that the solar wind radial velocity corresponding to STs is in the range of 250–550 km s ^−1 between 20 and 60 R _⊙ in the low-to-middle latitudes. We extrapolate the in situ observation near 1 au to 20 R _⊙ and find that it matches the synoptic velocity map well. The magnetohydrodynamic simulations of the solar wind radial velocity are consistent with the synoptic map near the heliospheric current sheet (HCS) but usually overestimate the velocity values for STs far away from the HCS. We expect that this technique will be a powerful tool to learn about and monitor the solar wind in the inner heliosphere, where the number of human probes is limited. |
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spelling | doaj.art-e59f55530dc343bb834337222787e0272023-09-03T10:57:22ZengIOP PublishingThe Astrophysical Journal1538-43572023-01-0194925810.3847/1538-4357/acc6c8Reconstructing Synoptic Maps of Solar Wind Radial Velocity between 20 and 60 R ⊙ Based on STEREO/HI1 ImagesXiaolei Li0https://orcid.org/0000-0002-7685-1528Yuming Wang1https://orcid.org/0000-0002-8887-3919Fang Shen2https://orcid.org/0000-0002-4935-6679Yi Yang3Quanhao Zhang4https://orcid.org/0000-0003-0565-3206Shaoyu Lyu5https://orcid.org/0000-0002-2349-7940Deep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, People's Republic of China ; ymwang@ustc.edu.cn; CAS Center for Excellence in Comparative Planetology/CAS Key Laboratory of Geospace Environment/Mengcheng National Geophysical Observatory, University of Science and Technology of China, Hefei 230026, People's Republic of ChinaDeep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, People's Republic of China ; ymwang@ustc.edu.cn; CAS Center for Excellence in Comparative Planetology/CAS Key Laboratory of Geospace Environment/Mengcheng National Geophysical Observatory, University of Science and Technology of China, Hefei 230026, People's Republic of ChinaSIGMA Weather Group, State Key Laboratory of Space Weather, Center for Space Science and Applied Research , Chinese Academy of Sciences, Beijing 100190, People's Republic of ChinaSIGMA Weather Group, State Key Laboratory of Space Weather, Center for Space Science and Applied Research , Chinese Academy of Sciences, Beijing 100190, People's Republic of ChinaDeep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, People's Republic of China ; ymwang@ustc.edu.cn; CAS Center for Excellence in Comparative Planetology/CAS Key Laboratory of Geospace Environment/Mengcheng National Geophysical Observatory, University of Science and Technology of China, Hefei 230026, People's Republic of ChinaDeep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, People's Republic of China ; ymwang@ustc.edu.cn; CAS Center for Excellence in Comparative Planetology/CAS Key Laboratory of Geospace Environment/Mengcheng National Geophysical Observatory, University of Science and Technology of China, Hefei 230026, People's Republic of ChinaPreviously, we developed a correlation-aided reconstruction method to recognize and locate solar wind transients observed by the Heliospheric Imager-1 (HI1) on board the Solar Terrestrial Relations Observatory and then developed a technique to infer the radial velocity distribution in each solar wind transient. Considering that the common field of view of HI1 may cover the full longitudes through the solar rotation, we further apply these methods to small-scale transients (STs) in a complete Carrington rotation to reconstruct a synoptic map of the solar wind radial velocity. Our test suggests that the reconstructed synoptic map is in agreement with the preset synthetic STs in latitude, longitude, and radial velocity. Then, Carrington rotation 2095 between 2010 March 26 and April 22 is selected to demonstrate the new technique. The derived synoptic map shows that the solar wind radial velocity corresponding to STs is in the range of 250–550 km s ^−1 between 20 and 60 R _⊙ in the low-to-middle latitudes. We extrapolate the in situ observation near 1 au to 20 R _⊙ and find that it matches the synoptic velocity map well. The magnetohydrodynamic simulations of the solar wind radial velocity are consistent with the synoptic map near the heliospheric current sheet (HCS) but usually overestimate the velocity values for STs far away from the HCS. We expect that this technique will be a powerful tool to learn about and monitor the solar wind in the inner heliosphere, where the number of human probes is limited.https://doi.org/10.3847/1538-4357/acc6c8Solar wind |
spellingShingle | Xiaolei Li Yuming Wang Fang Shen Yi Yang Quanhao Zhang Shaoyu Lyu Reconstructing Synoptic Maps of Solar Wind Radial Velocity between 20 and 60 R ⊙ Based on STEREO/HI1 Images The Astrophysical Journal Solar wind |
title | Reconstructing Synoptic Maps of Solar Wind Radial Velocity between 20 and 60 R ⊙ Based on STEREO/HI1 Images |
title_full | Reconstructing Synoptic Maps of Solar Wind Radial Velocity between 20 and 60 R ⊙ Based on STEREO/HI1 Images |
title_fullStr | Reconstructing Synoptic Maps of Solar Wind Radial Velocity between 20 and 60 R ⊙ Based on STEREO/HI1 Images |
title_full_unstemmed | Reconstructing Synoptic Maps of Solar Wind Radial Velocity between 20 and 60 R ⊙ Based on STEREO/HI1 Images |
title_short | Reconstructing Synoptic Maps of Solar Wind Radial Velocity between 20 and 60 R ⊙ Based on STEREO/HI1 Images |
title_sort | reconstructing synoptic maps of solar wind radial velocity between 20 and 60 r ⊙ based on stereo hi1 images |
topic | Solar wind |
url | https://doi.org/10.3847/1538-4357/acc6c8 |
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