Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit359-12-20021027_221000_20021028_025100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/27 |
Start Time | | 2002/10/27 22:10 |
End Time | | 2002/10/28 02:49 |
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 | | 18.02 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.15 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit359-12-20021027_221000_20021028_025100-constBx0 |
Minimum Dst Value | | -59 |
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-12 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. |