The solar radio flux at 10.7cm (F_10.7) is a direct monitor and an important indicator of solar variability, and F_10.7 is commonly used in empirical atmospheric models, ionosphere models, etc. The source regions of F_10.7 are mainly in the corona above the active regions, and the extreme ultraviolet (EUV) images reflect the coronal thermal structure. In this paper, an index is defined as based on the intensity values of solar EUV images to represent the coronal contribution to F_10.7. The Spearman correlation coefficient between the observed values of F_10.7 and is 0.85 in 304 Å EUV images. Based on the high correlation, an empirical model is constructed. Combining the EUV data of SDO/AIA and the twin STEREO/EUVI, solar full-disk EUV images can be generated, and the future 27-day values of can be calculated. Then, a realistic estimation of F_10.7 from 1 to 27 days in advance can be provided by the empirical model. Compared to the predictive values of F_10.7 by the 54th-order autoregressive models in 2012-2013, the error drop-rate of our model is 12.54%, and our method has significant advantages in the upcoming 3 to 27 days’ forecast.

中文翻译：

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基于极紫外图像的F10.7中期预报方法

在10.7厘米（F太阳能无线电通量_10.7）是一种直接监测和太阳变化的重要指标，和F _10.7在经验大气模型，电离层模型等是常用的f的源极区_10.7是主要在电晕在活动区域​​上方，并且极端紫外线（EUV）图像反映了日冕热结构。在本文中，基于太阳EUV图像的强度值定义了一个指数，以表示对F _10.7的日冕贡献。F _10.7与观测值之间的Spearman相关系数在304ÅEUV图像中为0.85。基于高相关性，建立了经验模型。结合SDO / AIA的EUV数据和STEREO / EUVI的双胞胎，可以生成太阳能全盘EUV图像，并可以计算出未来的27天值。然后，经验模型可以提前1到27天对F _10.7进行实际估算。与2012年至2013年第54阶自回归模型的F _10.7的预测值相比，我们的模型的误差下降率为12.54％，在即将进行的3至27天的预测中，我们的方法具有明显的优势。