Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit293-09-20020523_060200_20020523_104600-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 | | 2002/05/23 |
Start Time | | 2002/05/23 06:02 |
End Time | | 2002/05/23 10:44 |
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 | | -14.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.52 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 184.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit293-09-20020523_060200_20020523_104600-constBx0 |
Minimum Dst Value | | -6 |
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 IMP-8 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. |