Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit295-03-20020526_194000_20020527_002400-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 | | 2002/05/26 |
Start Time | | 2002/05/26 19:40 |
End Time | | 2002/05/27 00:22 |
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 | | -24.34 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit295-03-20020526_194000_20020527_002400-constBx0 |
Minimum Dst Value | | -23 |
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. |