@article{9c9ef84c9cef4951aba8216b906bf28e,
title = "Quantifying the Performance of Geomagnetically Induced Current Models",
abstract = "We describe a metric that has been repeatedly applied to assess the performance of models aimed at predicting geomagnetically induced currents from Space Weather events. The used parameterization, based on the well-known root-mean-square error between model and observations, is simple and intuitive. Its use is exemplified, and its advantages and disadvantages are discussed, as well as its relationship with the widely extended correlation coefficient, r. Although the use of r alone is inappropriate for purposes of evaluating the agreement between model and observations, its use is recommended to complement the described performance parameter.",
keywords = "GIC, Modeling, Skill score, Statistics",
author = "S. Marsal and Torta, {J. M.}",
note = "Funding Information: GIC measurement data at the Vandell{\`o}s substation were obtained by a previous project funded by ENDESA Distribuci{\'o}n El{\'e}ctrica, S.L. Data from the MT survey and from the probe at Vandell{\`o}s substation can be found online (ftp://ftpoeb.obsebre.es/geomagnetism/GIC/). This research has been partly supported by Spanish projects CTM2014-52182-C3-1 and CGL2017-82169-C2-1-R funded by Ministerio de Ciencia, Innovaci{\'o}n y Universidades. The authors declare no conflicts of interest. Publisher Copyright: {\textcopyright}2019. American Geophysical Union. All Rights Reserved.",
year = "2019",
doi = "10.1029/2019SW002208",
language = "English",
volume = "17",
pages = "941--949",
journal = "Space Weather",
issn = "1542-7390",
publisher = "Wiley-Blackwell",
number = "7",
}