Community‐wide validation of geospace model local K‐index predictions to support model transition to operations. Issue 7 (9th July 2016)

• Record Type: Journal Article
• Authors: Glocer, A.; Rastätter, L.; Kuznetsova, M.; Pulkkinen, A.; Singer, H. J.; Balch, C.; Weimer, D.; Welling, D.; Wiltberger, M.; Raeder, J.; Weigel, R. S.; McCollough, J.; Wing, S.
• Is Part Of: Space weather. Volume 14:Issue 7(2016:Jul.)
• Page Start: 469
• Page End: 480
• Publication Date: 2016-07-09
• Subjects: model validation; Space environment -- Periodicals; 551.509992
• DOI: 10.1002/2016SW001387
• Languages: English
• ISSNs: 1542-7390

Abstract

Abstract: We present the latest result of a community‐wide space weather model validation effort coordinated among the Community Coordinated Modeling Center (CCMC), NOAA Space Weather Prediction Center (SWPC), model developers, and the broader science community. Validation of geospace models is a critical activity for both building confidence in the science results produced by the models and in assessing the suitability of the models for transition to operations. Indeed, a primary motivation of this work is supporting NOAA/SWPC's effort to select a model or models to be transitioned into operations. Our validation efforts focus on the ability of the models to reproduce a regional index of geomagnetic disturbance, the local K‐index. Our analysis includes six events representing a range of geomagnetic activity conditions and six geomagnetic observatories representing midlatitude and high‐latitude locations. Contingency tables, skill scores, and distribution metrics are used for the quantitative analysis of model performance. We consider model performance on an event‐by‐event basis, aggregated over events, at specific station locations, and separated into high‐latitude and midlatitude domains. A summary of results is presented in this report, and an online tool for detailed analysis is available at the CCMC. Key Points: Report community‐wide model validation results Evaluate ability of models to predict a local index of magnetic perturbation Analysis directly led to selection of models to transition to operations at NOAA/SWPC