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 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. |