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 Polar 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. |