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Improving the twilight model for polar cap absorption nowcasts

机译:改进暮光模型以进行极地帽吸收临近预报

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During solar proton events (SPE), energetic protons ionize the polar mesosphere causing HF radio wave attenuation, more strongly on the dayside where the effective recombination coefficient, αeff, is low. Polar cap absorption models predict the 30 MHz cosmic noise absorption, A, measured by riometers, based on real-time measurements of the integrated proton flux-energy spectrum, J. However, empirical models in common use cannot account for regional and day-to-day variations in the daytime and nighttime profiles of αeff(z) or the related sensitivity parameter, . Large prediction errors occur during twilight when m changes rapidly, and due to errors locating the rigidity cutoff latitude. Modeling the twilight change in m as a linear or Gauss error-function transition over a range of solar-zenith angles (χl<χ <χu) provides a better fit to measurements than selecting day or night αeff profiles based on the Earth-shadow height. Optimal model parameters were determined for several polar cap riometers for large SPEs in 1998–2005. The optimal χl parameter was found to be most variable, with smaller values (as low as 60°) postsunrise compared with presunset and with positive correlation between riometers over a wide area. Day and night values of m exhibited higher correlation for closely spaced riometers. A nowcast simulation is presented in which rigidity boundary latitude and twilight model parameters are optimized by assimilating age-weighted measurements from 25 riometers. The technique reduces model bias, and root-mean-square errors are reduced by up to 30% compared with a model employing no riometer data assimilation.
机译:在太阳质子事件(SPE)期间,高能质子电离极性中层,导致HF无线电波衰减,在有效重组系数αeff低的白天更加强烈。极极帽吸收模型基于对质子通量-能量谱积分J的实时测量,预测了由测距仪测得的30 MHz宇宙噪声吸收。然而,常用的经验模型无法解释区域和日均αeff(z)或相关灵敏度参数白天和晚上的日变化。当m快速变化时,由于定位刚度截止纬度的误差,在黄昏期间会发生较大的预测误差。将m的暮光变化建模为整个太阳天顶角(χl<χ<χu)范围内的线性或高斯误差函数转换,比基于地球阴影高度选择白天或黑夜的αeff分布图更适合测量。在1998-2005年期间,确定了几种用于大型SPE的极谱仪的最佳模型参数。发现最佳的χ1参数变化最大,与日落前相比,出山后的值较小(低至60°),并且在宽范围内riometers之间呈正相关。 m的昼夜值对于紧密间隔的riometer表现出较高的相关性。提出了一个临近预报模拟,其中通过吸收25 riometer的年龄加权测量值来优化了刚度边界纬度和暮光模型参数。与不使用测距仪数据同化的模型相比,该技术可减少模型偏差,并且均方根误差最多可降低30%。

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