Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: YE_TIAN_022520_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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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 |
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View standard CCMC run page. | ?? |
Event Date | | May 23, 2002 |
Start Time | | 2002/05/23 04:00 |
End Time | | 2002/05/25 21:00 |
Key Words | | 2 |
Model | | LFM |
Model Version | | LTR-2_1_5 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 10.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.52 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 30 |
F10.7 | | 184.80000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | YE_TIAN_022520_2 |
Minimum Dst Value | | -109 |
SW Source | | ACE-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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