Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit246-01-20020129_210400_20020130_014900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | B plot | GOES-9 | | | | - | GOES-10 | | | | B plot | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | - | Wind | | | | B plot |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/01/29 |
Start Time | | 2002/01/29 21:04 |
End Time | | 2002/01/30 01:47 |
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 | | 20.55 |
Dipole Tilt, in Y-Z GSE plane, deg | | -26.43 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 248.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit246-01-20020129_210400_20020130_014900-constBx0 |
Minimum Dst Value | | -2 |
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. |