Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Stefan_Kiehas_041509_1a | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | February 02 2008 |
Start Time | | 2008/02/02 01:00 |
End Time | | 2008/02/02 03:00 |
Key Words | | substorm |
Model | | BATSRUS |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -24.70 |
Dipole Tilt, in Y-Z GSE plane, deg | | 26.60 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 69.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Stefan_Kiehas_041509_1a |
Minimum Dst Value | | -46 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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