Description
Investigate systematic patterns in the validation residuals (HamSCI virtual height minus Digisonde virtual height) to understand the instrument's error characteristics.
Analysis Required
- Do residuals correlate with time of day? (Plot residual vs. local time)
- Do residuals correlate with virtual height itself? (e.g., larger errors at higher virtual heights)
- Are there systematic biases? (HamSCI consistently reading higher or lower)
- Are there outlier events? If so, what was happening ionospherically?
- Is there a dependence on geomagnetic activity (Kp index)?
- Retrieve Kp from NOAA or GFZ for the analysis period
- Consider whether the distance between HamSCI (Spring Brook Twp, PA) and the reference Digisonde contributes to residuals
Figures
- Residual vs. time-of-day plot
- Residual vs. virtual height plot
- Residual vs. Kp (if sufficient geomagnetically active days exist in the dataset)
Acceptance Criteria
Timeline
Context
Phase 2 of Track 1. Understanding residual patterns helps characterize measurement uncertainty and identify potential instrument issues. See plans/track1-workplan.md.
Description
Investigate systematic patterns in the validation residuals (HamSCI virtual height minus Digisonde virtual height) to understand the instrument's error characteristics.
Analysis Required
Figures
Acceptance Criteria
Timeline
Context
Phase 2 of Track 1. Understanding residual patterns helps characterize measurement uncertainty and identify potential instrument issues. See plans/track1-workplan.md.