Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Agnit_Mukhopadhyay_062717_6 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 31, 2001 |
Start Time | | 2001/08/31 00:00 |
End Time | | 2001/09/01 02:00 |
Key Words | | CPCP |
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 | | 5.44 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.95 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 30 |
F10.7 | | 192.20000 |
Conductance Model | | TIEGCM |
Corotation | | real |
Run Number | | Agnit_Mukhopadhyay_062717_6 |
Minimum Dst Value | | -40 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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