Electric field variability and model uncertainty: A classification of source terms in estimating the squared electric field from an electric field model
Electric field variability and model uncertainty: A classification of source terms in estimating the squared electric field from an electric field model
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电场变化和模型不确定性：根据电场模型估计平方电场时的源项分类
DOI：
10.1029/2008ja013929
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发表时间：
2009
影响因子：
--
通讯作者：
M. Codrescu
中科院分区：
文献类型：
--
作者：
R. Cosgrove;M. Codrescu
[1]高纬度电场的焦耳加热被认为被电场模型低估了，并且已经证实低估的来源是“电场可变性”，尽管对这个术语的解释不一定是直接的。我们进行了分类的源项估计电场的平方幅度从电场模型，并发现，概括地称为电场变异性的现象规范地分解成两个不同的组成部分：小规模的电场变异性，并解决规模的模型不确定性。后一种贡献是统计估计的不确定性，与物理小尺度波动无关。我们认为，这两个来源应分开的特点。一个例子是在一个比较的焦耳加热测量的Sondrestrom的非相干散射雷达在40小时内包含一个风暴，与焦耳加热模拟电离层电动力学（AMIE）的同化映射程序，从AMIE同化后删除的Sondrestrom数据。最近的一项卫星研究对这两个来源的相对重要性进行了定量评估。
[1] Joule heating by high-latitude electric fields is thought to be underestimated by electric field models, and it has been conjectured that the source of the underestimation is “electric field variability,” although the interpretation of this term is not necessarily straightforward. We perform a classification of source terms in estimating the squared magnitude of electric field from an electric field model, and find that the phenomenon summarily referred to as electric field variability canonically decomposes into two distinct components: small-scale electric field variability, and resolved-scale model uncertainty. The latter contribution is a statistical estimation uncertainty, and not related to physical small-scale fluctuations. We argue that the two sources should be characterized separately. An illustration is given in a comparison of the Joule heating measured by the Sondrestrom incoherent scatter radar during a 40-h period containing a storm, with the Joule heating modeled by the Assimilative Mapping of Ionospheric Electrodynamics (AMIE) procedure, after removing the Sondrestrom data from the AMIE assimilation. A quantitative assessment of the relative importance of the two sources is drawn from a recent satellite study.