Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit357-03-20021021_090700_20021021_135100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | - | GOES-9 | | | | - | GOES-10 | | | | - | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | B plot | Wind | | | | B plot |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/21 |
Start Time | | 2002/10/21 09:07 |
End Time | | 2002/10/21 13:49 |
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 | | 9.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | 31.18 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit357-03-20021021_090700_20021021_135100-constBx0 |
Minimum Dst Value | | -18 |
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 Polar 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. |