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Leads: Evangelia Samara (NASA/GSFC, USA)

C. Nick Arge (NASA/GSFC, USA)

O1-03: Toward a community consensus for metrics in solar physics and space weather

Cluster: Overarching activities

Category: Assessment

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2

  1. Focus on solar wind metrics
  2. Presentation of some widely used metrics
  3. Discussions around their strengths and weaknesses and suggestions for other metrics that should be taken into account if we want to reach consensus within the community

First part: PM2 on Thursday

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3

  1. Focus on solar wind metrics
  2. Presentation of some widely used metrics
  3. Discussions around their strengths and weaknesses and suggestions for other metrics that should be taken into account if we want to reach consensus within the community

First part: PM2 on Thursday

Second part: lively discussion on Thursday evening

  1. Broader audience: positive responses around the idea of the O1-03 team, especially from space weather agencies
  2. Focus not only to the *minimum subset* of metrics but also to establish benchmark datasets – explore more what other fields have done in that direction (e.g., flares)

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4

Second part: lively discussion on Thursday

  1. Importance of documenting strengths & weaknesses of models
  2. Presentation from Laura Boucheron on coronal hole metrics, their strengths and weaknesses and why consensus would be useful in this field
  3. Presentation from Arik Posner on why it is premature for the community to reach consensus on metrics for SEP predictions due to outdated and problematic instrumentation

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5

Second part: lively discussion on Thursday

  1. Importance of documenting strengths & weaknesses of models
  2. Presentation from Laura Boucheron on coronal hole metrics, their strengths and weaknesses and why consensus would be useful in this field
  3. Presentation from Arik Posner on why it is premature for the community to reach consensus on metrics for SEP predictions due to outdated and problematic instrumentation

Steps forward: continue this endeavor, communicate and get feedback from people/agencies regarding what they need/miss, think more about benchmark datasets for solar wind validation purposes and consider future paper on it.