Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Jinni_Meehan_061510_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | February 17 2000 |
Start Time | | 2000/02/17 00:00 |
End Time | | 2000/02/17 22:00 |
Key Words | | Hampton REU 021700 data |
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 | | -17.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | 31.20 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 164.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Jinni_Meehan_061510_1 |
Minimum Dst Value | | -30 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |