Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit294-09-20020525_150600_20020525_195000-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 | | 2002/05/25 |
Start Time | | 2002/05/25 15:06 |
End Time | | 2002/05/25 19:48 |
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 | | -31.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | -15.27 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 187.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit294-09-20020525_150600_20020525_195000-constBx0 |
Minimum Dst Value | | -39 |
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-10 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. |