Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit302-09-20020613_153700_20020613_202100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/13 |
Start Time | | 2002/06/13 15:37 |
End Time | | 2002/06/13 20:19 |
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 | | -32.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.58 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 137.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit302-09-20020613_153700_20020613_202100-constBx0 |
Minimum Dst Value | | -19 |
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. |