Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit293-11-20020523_153200_20020523_201600-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 15:32 |
End Time | | 2002/05/23 20:14 |
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 | | -30.88 |
Dipole Tilt, in Y-Z GSE plane, deg | | -16.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 184.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit293-11-20020523_153200_20020523_201600-constBx0 |
Minimum Dst Value | | -109 |
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 Cluster-1 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. |