Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit246-04-20020130_112200_20020130_160700-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 | | 2002/01/30 |
Start Time | | 2002/01/30 11:22 |
End Time | | 2002/01/30 16:05 |
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 | | 11.15 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 248.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit246-04-20020130_112200_20020130_160700-constBx0 |
Minimum Dst Value | | -1 |
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 Cluster-3 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. |