Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Paul_Tenfjord_050515_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 05, 2010 |
Start Time | | 2010/04/05 07:30 |
End Time | | 2010/04/05 11:30 |
Key Words | | By reversal |
Model | | LFM |
Model Version | | LTR-2_2_0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -1.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.35 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 30 |
F10.7 | | 79.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Paul_Tenfjord_050515_1 |
Minimum Dst Value | | -37 |
SW Source | | DSCOVR-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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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