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-2 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. |