Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit296-11-20020530_184200_20020530_232600-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 | | 2002/05/30 |
Start Time | | 2002/05/30 18:42 |
End Time | | 2002/05/30 23:24 |
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 | | -27.11 |
Dipole Tilt, in Y-Z GSE plane, deg | | -19.19 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit296-11-20020530_184200_20020530_232600-constBx0 |
Minimum Dst Value | | -8 |
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-9 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. |