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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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