Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit293-08-20020523_011700_20020523_060100-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 | | 2002/05/23 |
Start Time | | 2002/05/23 01:17 |
End Time | | 2002/05/23 05:59 |
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 | | -11.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | -16.32 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 184.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit293-08-20020523_011700_20020523_060100-constBx0 |
Minimum Dst Value | | -1 |
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-10 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. |