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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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