Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit353-09-20021013_011600_20021013_060100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/13 |
Start Time | | 2002/10/13 01:16 |
End Time | | 2002/10/13 05:59 |
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 | | 17.87 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.79 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit353-09-20021013_011600_20021013_060100-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. |