The dynamics of geomagnetic substorms with the WINDMI model
Abstract The global dynamics of substorms are controlled by several key magnetospheric parameters. In this work we obtain quantitative measures of these parameters from a low-order nonlinear model of the nightside magnetosphere called WINDMI. The model uses solar wind and IMF measurements from the A...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-07-01
|
| Series: | Earth, Planets and Space |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40623-018-0882-9 |
| _version_ | 1819081142260727808 |
|---|---|
| author | Edmund Spencer Sai Krishna Vadepu Pavithra Srinivas Swadesh Patra Wendell Horton |
| author_facet | Edmund Spencer Sai Krishna Vadepu Pavithra Srinivas Swadesh Patra Wendell Horton |
| author_sort | Edmund Spencer |
| collection | DOAJ |
| description | Abstract The global dynamics of substorms are controlled by several key magnetospheric parameters. In this work we obtain quantitative measures of these parameters from a low-order nonlinear model of the nightside magnetosphere called WINDMI. The model uses solar wind and IMF measurements from the ACE spacecraft as input into a system of 8 nonlinear ordinary differential equations. The state variables of the differential equations represent the energy stored in the geomagnetic tail, central plasma sheet, ring current and field-aligned currents. The output from the model is the geomagnetic westward auroral electrojet (AL) index and the Dst index. Intermediate variables of the model are the plasma sheet pressure, geotail current, cross-tail electric field, parallel ion velocity and the pressure gradient current. The values of these variables are controlled by physical parameters of the model, consisting of spatially averaged quantities that are analogous to electric circuit elements. We tune the model to re-produce substorm events, comparing model capability against observations of auroral brightening and the auroral electrojet indices AL from WDC Kyoto and SML from SuperMAG. The model is capable of capturing events within a 10–12-min interval of occurrence, with level of activity comparable to the measured indices. |
| first_indexed | 2024-12-21T19:56:04Z |
| format | Article |
| id | doaj.art-b4ee6b07fe434361b42e18e980c3cdb1 |
| institution | Directory Open Access Journal |
| issn | 1880-5981 |
| language | English |
| last_indexed | 2024-12-21T19:56:04Z |
| publishDate | 2018-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Earth, Planets and Space |
| spelling | doaj.art-b4ee6b07fe434361b42e18e980c3cdb12022-12-21T18:52:05ZengSpringerOpenEarth, Planets and Space1880-59812018-07-017011910.1186/s40623-018-0882-9The dynamics of geomagnetic substorms with the WINDMI modelEdmund Spencer0Sai Krishna Vadepu1Pavithra Srinivas2Swadesh Patra3Wendell Horton4University of South AlabamaUniversity of South AlabamaUniversity of South AlabamaUniversity of OsloUniversity of TexasAbstract The global dynamics of substorms are controlled by several key magnetospheric parameters. In this work we obtain quantitative measures of these parameters from a low-order nonlinear model of the nightside magnetosphere called WINDMI. The model uses solar wind and IMF measurements from the ACE spacecraft as input into a system of 8 nonlinear ordinary differential equations. The state variables of the differential equations represent the energy stored in the geomagnetic tail, central plasma sheet, ring current and field-aligned currents. The output from the model is the geomagnetic westward auroral electrojet (AL) index and the Dst index. Intermediate variables of the model are the plasma sheet pressure, geotail current, cross-tail electric field, parallel ion velocity and the pressure gradient current. The values of these variables are controlled by physical parameters of the model, consisting of spatially averaged quantities that are analogous to electric circuit elements. We tune the model to re-produce substorm events, comparing model capability against observations of auroral brightening and the auroral electrojet indices AL from WDC Kyoto and SML from SuperMAG. The model is capable of capturing events within a 10–12-min interval of occurrence, with level of activity comparable to the measured indices.http://link.springer.com/article/10.1186/s40623-018-0882-9WINDMIMagnetosphereSubstorm |
| spellingShingle | Edmund Spencer Sai Krishna Vadepu Pavithra Srinivas Swadesh Patra Wendell Horton The dynamics of geomagnetic substorms with the WINDMI model Earth, Planets and Space WINDMI Magnetosphere Substorm |
| title | The dynamics of geomagnetic substorms with the WINDMI model |
| title_full | The dynamics of geomagnetic substorms with the WINDMI model |
| title_fullStr | The dynamics of geomagnetic substorms with the WINDMI model |
| title_full_unstemmed | The dynamics of geomagnetic substorms with the WINDMI model |
| title_short | The dynamics of geomagnetic substorms with the WINDMI model |
| title_sort | dynamics of geomagnetic substorms with the windmi model |
| topic | WINDMI Magnetosphere Substorm |
| url | http://link.springer.com/article/10.1186/s40623-018-0882-9 |
| work_keys_str_mv | AT edmundspencer thedynamicsofgeomagneticsubstormswiththewindmimodel AT saikrishnavadepu thedynamicsofgeomagneticsubstormswiththewindmimodel AT pavithrasrinivas thedynamicsofgeomagneticsubstormswiththewindmimodel AT swadeshpatra thedynamicsofgeomagneticsubstormswiththewindmimodel AT wendellhorton thedynamicsofgeomagneticsubstormswiththewindmimodel AT edmundspencer dynamicsofgeomagneticsubstormswiththewindmimodel AT saikrishnavadepu dynamicsofgeomagneticsubstormswiththewindmimodel AT pavithrasrinivas dynamicsofgeomagneticsubstormswiththewindmimodel AT swadeshpatra dynamicsofgeomagneticsubstormswiththewindmimodel AT wendellhorton dynamicsofgeomagneticsubstormswiththewindmimodel |