Team ID: S2-08
Team Title:
Metrics for Validating Coronal Holes
Team Lead:
Laura Boucheron (New Mexico State University, USA), lboucher AT nmsu.edu
Team Co-Lead:
Keywords (Activity Type):
Assessment
Introduction:
Coronal holes are global phenomena that physics models should reproduce. As such, coronal holes detected in observations (by automated or manual methods) can be compared to model predictions. However, coronal holes manifest in observational data with varied and inconsistent characteristics and methods of coronal hole detection and prediction do not always agree with each other or with models. If no method or model is definitively “right” or “wrong,” how should results be compared? Given the uncertainties of physics models, observations, and detection algorithms (manual and automated), what are best practices to compare coronal holes (or other targets) predicted by these different methods?
Objectives:
Objectives are to come to a consensus on
- Sources of uncertainty (physical, observational, algorithmic, other) quantification of that uncertainty (leveraging different domains of expertise)
- Metrics that should be used to quantitatively compare detections/predictions, leveraging metrics across disparate domains and scales
- A common vocabulary and understanding about the goals of comparing detections/predictions
- Specific cases and events to serve as a benchmark in conjunction with the suite of metrics
Action Topics:
Definition and quantification of uncertainties in magnetic flux for different solar regions (e.g. poles, active regions, quiet sun), Analysis, modeling and prediction of coronal structure and solar wind sources, Definition of metrics and validation for coronal structures
Cluster with overlapping topics:
S2: Ambient solar magnetic field, heating and spectral irradiance
Link to external website: