Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-03-20021215_021800_20021215_070300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/15 |
Start Time | | 2002/12/15 02:18 |
End Time | | 2002/12/15 07:01 |
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 | | 33.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | 7.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-03-20021215_021800_20021215_070300-constBx0 |
Minimum Dst Value | | -39 |
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. |