Exploring predictive performance: A reanalysis of the geospace model transition challenge

39Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Welling, D. T., Anderson, B. J., Crowley, G., Pulkkinen, A. A., & Rastätter, L. (2017). Exploring predictive performance: A reanalysis of the geospace model transition challenge. Space Weather, 15(1), 192–203. https://doi.org/10.1002/2016SW001505

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free