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

机译:探索预测性能:地理空间模型转换挑战的重新分析

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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.
机译:Pulkkinen等。 (2013年)的研究评估了五个不同地理空间模型预测表面dB / dt的能力,这些模型是上游太阳能驱动器的函数。这是评估研究模型的重要一步,以预测并最终防止地磁感应电流的破坏作用。关于这些模型的功能,仍然存在许多问题。这项研究提出了对Pulkkinen等人的重新分析。 (2013)试图更好地了解模型的性能。通过检查与经验输入数据相对应的条件来确定模型的有效性范围。已经发现,全局磁流体动力学模型所依赖的经验电导模型经常在其输入数据的范围之外使用。模型的预测误差根据太阳驱动和地磁活动进行分类。发现所有模型都显示出对预测不足的偏见,尤其是在活跃时期。这些结果对旨在改善运营预测模型的未来研究具有启示意义。

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