Quantifying the sources of ionosphere day‐to‐day variability
Simulations from the coupled Whole Atmosphere Model and Global Ionosphere Plasmasphere show significant day‐to‐day variations in total electron content (TEC) and the F region peak density (NmF2). The Whole Atmosphere Model‐Global Ionosphere Plasmasphere was driven by the auroral precipitation patter...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | English |
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2019
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| Online Access: | https://hdl.handle.net/10356/83149 http://hdl.handle.net/10220/49108 |
| _version_ | 1811688023648108544 |
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| author | Matsuo, Tomoko Viereck, Rodney Fang, Tzu‐Wei Fuller‐Rowell, Tim Yudin, Valery |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Matsuo, Tomoko Viereck, Rodney Fang, Tzu‐Wei Fuller‐Rowell, Tim Yudin, Valery |
| author_sort | Matsuo, Tomoko |
| collection | NTU |
| description | Simulations from the coupled Whole Atmosphere Model and Global Ionosphere Plasmasphere show significant day‐to‐day variations in total electron content (TEC) and the F region peak density (NmF2). The Whole Atmosphere Model‐Global Ionosphere Plasmasphere was driven by the auroral precipitation patterns inferred from TIROS/NOAA, daily solar irradiance measurements derived from the satellite observations, and 5‐min interplanetary magnetic field/solar wind parameters during June and July 2012. Overall, the combination of solar, magnetosphere, and lower atmosphere drivers produced similar magnitude of variability consistent with that seen in observations. Results also show that the relative variability is much larger at night than in the daytime, due to much lower background density, and depended strongly on latitude and local time. Additional simulations were also performed to distinguish the contributions to the variability from solar activity, geomagnetic activity, and lower atmospheric perturbations. Results show that globally, geomagnetic activity is the main contributor to the NmF2 variability, followed by lower atmosphere perturbation, and then solar activity. For TEC variability, again, geomagnetic activity is the main contributor, followed by solar activity, and then lower atmosphere perturbation. In terms of absolute variability, at low latitudes solar activity dominates the TEC variability, most likely due to the importance of solar EUV driving the changes in ionosphere density through photoionization, while the contributions from the lower atmosphere and geomagnetic activity are almost equally. For the middle‐ and high‐latitude regions, the solar activity and geomagnetic activity are the most important sources for the TEC variability. |
| first_indexed | 2024-10-01T05:25:37Z |
| format | Journal Article |
| id | ntu-10356/83149 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:25:37Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/831492020-03-07T13:57:26Z Quantifying the sources of ionosphere day‐to‐day variability Matsuo, Tomoko Viereck, Rodney Fang, Tzu‐Wei Fuller‐Rowell, Tim Yudin, Valery School of Electrical and Electronic Engineering Satellite Research Centre Ionosphere Variability Whole Atmosphere Modeling Engineering::Electrical and electronic engineering Simulations from the coupled Whole Atmosphere Model and Global Ionosphere Plasmasphere show significant day‐to‐day variations in total electron content (TEC) and the F region peak density (NmF2). The Whole Atmosphere Model‐Global Ionosphere Plasmasphere was driven by the auroral precipitation patterns inferred from TIROS/NOAA, daily solar irradiance measurements derived from the satellite observations, and 5‐min interplanetary magnetic field/solar wind parameters during June and July 2012. Overall, the combination of solar, magnetosphere, and lower atmosphere drivers produced similar magnitude of variability consistent with that seen in observations. Results also show that the relative variability is much larger at night than in the daytime, due to much lower background density, and depended strongly on latitude and local time. Additional simulations were also performed to distinguish the contributions to the variability from solar activity, geomagnetic activity, and lower atmospheric perturbations. Results show that globally, geomagnetic activity is the main contributor to the NmF2 variability, followed by lower atmosphere perturbation, and then solar activity. For TEC variability, again, geomagnetic activity is the main contributor, followed by solar activity, and then lower atmosphere perturbation. In terms of absolute variability, at low latitudes solar activity dominates the TEC variability, most likely due to the importance of solar EUV driving the changes in ionosphere density through photoionization, while the contributions from the lower atmosphere and geomagnetic activity are almost equally. For the middle‐ and high‐latitude regions, the solar activity and geomagnetic activity are the most important sources for the TEC variability. Published version 2019-07-03T05:50:01Z 2019-12-06T15:12:46Z 2019-07-03T05:50:01Z 2019-12-06T15:12:46Z 2018 Journal Article Fang, T.-W, Fuller‐Rowell, T., Yudin, V., Matsuo, T., & Viereck, R. (2018). Quantifying the sources of ionosphere day‐to‐day variability. Journal of Geophysical Research: Space Physics, 123(11), 9682-9696. doi:10.1029/2018JA025525 2169-9402 https://hdl.handle.net/10356/83149 http://hdl.handle.net/10220/49108 10.1029/2018JA025525 en Journal of Geophysical Research: Space Physics © 2018 American Geophysical Union. All rights reserved. This paper was published in Journal of Geophysical Research: Space Physics and is made available with permission of American Geophysical Union. 15 p. application/pdf |
| spellingShingle | Ionosphere Variability Whole Atmosphere Modeling Engineering::Electrical and electronic engineering Matsuo, Tomoko Viereck, Rodney Fang, Tzu‐Wei Fuller‐Rowell, Tim Yudin, Valery Quantifying the sources of ionosphere day‐to‐day variability |
| title | Quantifying the sources of ionosphere day‐to‐day variability |
| title_full | Quantifying the sources of ionosphere day‐to‐day variability |
| title_fullStr | Quantifying the sources of ionosphere day‐to‐day variability |
| title_full_unstemmed | Quantifying the sources of ionosphere day‐to‐day variability |
| title_short | Quantifying the sources of ionosphere day‐to‐day variability |
| title_sort | quantifying the sources of ionosphere day to day variability |
| topic | Ionosphere Variability Whole Atmosphere Modeling Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/83149 http://hdl.handle.net/10220/49108 |
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