Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit295-10-20020528_045500_20020528_093900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | B plot | GOES-9 | | | | - | GOES-10 | | | | B plot | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | - | Wind | | | | B plot |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/05/28 |
Start Time | | 2002/05/28 04:55 |
End Time | | 2002/05/28 09:37 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -13.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.50 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 191.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit295-10-20020528_045500_20020528_093900-constBx0 |
Minimum Dst Value | | -27 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |