Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Megan_Cartwright_051308_1a | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | October 27 2000 |
Start Time | | 2000/10/27 17:00 |
End Time | | 2000/10/29 09:00 |
Key Words | | UCLA_265_batrus_enlil Test |
Model | | BATSRUS with RCM |
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 | | -17.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.10 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 173.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Megan_Cartwright_051308_1a |
Minimum Dst Value | | -127 |
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 Wind for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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