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  • 标题:Exploring predictive performance: A reanalysis of the geospace model transition challenge
  • 本地全文:下载
  • 作者:D. T. Welling ; B. J. Anderson ; G. Crowley
  • 期刊名称:Space Weather
  • 印刷版ISSN:1542-7390
  • 出版年度:2017
  • 卷号:15
  • 期号:1
  • 页码:192-203
  • DOI:10.1002/2016SW001505
  • 语种:English
  • 出版社:American Geophysical Union
  • 摘要:The Pulkkinen et al. (2013) study evaluated the ability of five different geospace models to predict surface dB/dt as a function of upstream solar drivers. This was an important step in the assessment of research models for predicting and ultimately preventing the damaging effects of geomagnetically induced currents. Many questions remain concerning the capabilities of these models. This study presents a reanalysis of the Pulkkinen et al. (2013) results in an attempt to better understand the models' performance. The range of validity of the models is determined by examining the conditions corresponding to the empirical input data. It is found that the empirical conductance models on which global magnetohydrodynamic models rely are frequently used outside the limits of their input data. The prediction error for the models is sorted as a function of solar driving and geomagnetic activity. It is found that all models show a bias toward underprediction, especially during active times. These results have implications for future research aimed at improving operational forecast models.
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