Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit317-04-20020718_092200_20020718_140700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/07/18 |
Start Time | | 2002/07/18 09:22 |
End Time | | 2002/07/18 14:05 |
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 | | -24.38 |
Dipole Tilt, in Y-Z GSE plane, deg | | 21.63 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit317-04-20020718_092200_20020718_140700-constBx0 |
Minimum Dst Value | | -17 |
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-11 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. |