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Empirical model of Poynting flux derived from FAST data and a cusp signature

机译:经验模型的能流密度通量来源于快数据和尖端签名

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摘要

Empirical models of the Poynting flux and particle kinetic energy flux, associated with auroral processes, have been constructed using data from the FAST satellite and are available online. The models output flux maps as a function of several geophysical parameters: (1) clock angle of the interplanetary magnetic field (IMF), (2) magnitude of the IMF in the GSM y-z plane, (3) solar wind speed, (4) solar wind number density, (5) magnetic dipole tilt angle, and (6) the AL index (optional for Poynting flux). The choice of parameters is motivated by the Weimer potential model. Because the Poynting flux distribution has a heavy tail, care must be taken in applying the model to events that may be uncommon, and the model output includes a measure of quality based on the density of FAST orbits in the parameter space. The models are constructed by fitting the data to a sum of empirical orthogonal functions (EOFs), with coefficients modeled by quadratic equations in the geophysical parameters. The EOFs are constructed from the same data set using singular value decomposition, along with a smoothing/interpolation algorithm that minimizes curvature and incorporates uncertainty. Potential applications include specification of the auroral energy input for general circulation models. Basic findings from the model include verification of the importance of the auroral electrojets as features of auroral Poynting flux deposition and identification of the cusp as a third important feature. The cusp makes an important contribution to the overall energy budget when the IMF is north of ±90°.
机译:经验的能流密度通量模型和粒子动能通量,极光过程中,已经使用的数据构建的在线快速卫星和可用。模型输出通量地图数的函数地球物理参数:(1)时钟的角度行星际磁场(IMF), (2)国际货币基金组织的大小在GSM - z平面上,(3)太阳风速度,(4)太阳风数密度,(5)磁偶极子倾斜角度,(6)指数能流密度通量(可选)。参数是出于魏玛的潜力模型。一个沉重的尾巴,必须注意在应用模型的事件可能是罕见的,模型输出包括衡量质量的基础在快速轨道的密度参数空间。数据和经验正交函数(eof),由二次系数建模地球物理参数方程。由相同的数据集使用吗奇异值分解,以及平滑插值算法,最小化曲率和包含的不确定性。应用包括规范的极光环流模型的能量输入。从模型包括基本发现验证的极光的重要性电喷流极光能流密度通量的特性沉积和尖端的识别第三个重要特征。重要的对总能量的贡献预算当IMF北±90°。

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