Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit357-06-20021021_232200_20021022_040600-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 23:22 |
End Time | | 2002/10/22 04:04 |
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 | | 18.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.01 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit357-06-20021021_232200_20021022_040600-constBx0 |
Minimum Dst Value | | -11 |
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 Geotail 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. |