Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit297-10-20020601_231000_20020602_035500-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 | | 2002/06/01 |
Start Time | | 2002/06/01 23:10 |
End Time | | 2002/06/02 03:53 |
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 | | -16.24 |
Dipole Tilt, in Y-Z GSE plane, deg | | -16.40 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 183.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit297-10-20020601_231000_20020602_035500-constBx0 |
Minimum Dst Value | | -11 |
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. |