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 GOES-11 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. |