Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit355-04-20021016_193700_20021017_002200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/16 |
Start Time | | 2002/10/16 19:37 |
End Time | | 2002/10/17 00:20 |
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 | | 7.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.40 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 181.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit355-04-20021016_193700_20021017_002200-constBx0 |
Minimum Dst Value | | -63 |
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. |