Boundary-Oriented Precipitation Model: Toward Developing Instantaneous Representation of Global Precipitation

该提案寻求继续支持，以确定全球电子降水模式的特征。 早期的成果包括基础研究发现，如太阳光中强烈离散极光的抑制，以及关于太阳周期依赖性的令人惊讶的结果，以及边界导向降水模型的发展。边界导向模型有几个优点，包括扩散极光仅与扩散极光比较，离散与离散，极地雨与极地雨等。 面向边界的模型的一个强大的优点是，它允许在更可靠的基础上从几个给定的本地时间的观测值外推到椭圆的其余部分（例如，午夜前强烈离散极光并不意味着午夜后的漫射极光）。 因此，面向边界的模式应证明更适合于估计全球降水模式，而不是通过太阳风输入或磁力计指数（KP或AE水平）来组织降水数据，数据是自组织的，在这个意义上，粒子边界（b2i，对应于磁尾的拉伸）被使用。 使模型成为一个双变函数，包括极帽中的开放通量扩展了这种自组织。 这两个变量b2i（磁尾拉伸）和开放通量共同代表了磁层的瞬时状态，比简单地知道输入（太阳风）或地面磁力计值更好。 此外，该方法的自组织性质也适用于使用个别对DMSP卫星椭圆交叉（给出四个当地时间快照）来推断全球降水模式。

This proposal seeks continuation of support, to characterize global electron precipitation patterns. Earlier results include basic research findings, such as suppression of intense discrete aurora in sunlight, and surprising results about solar cycle dependencies, as well as the development of a boundary-oriented precipitation model.The boundary-oriented model has several advantages, including that diffuse aurora is compared only to diffuse aurora, discrete to discrete, polar rain to polar rain, and so forth. A powerful advantage of the boundary-oriented model is that it allows extrapolation from observations at a few given local times to the rest of the oval on a much more reliable basis (e.g., intense discrete aurora at premidnight are not interpreted as implying much about diffuse aurora postmidnight). Thus the boundary-oriented model should prove more adaptable to estimating global precipitation patterns.Instead of organizing the precipitation data by solar wind inputs or magnetometer indices (KP or AE levels), the data is self-organized, in the sense that a particle boundary (b2i, corresponding to the stretching of the magnetotail) is used. Making the model a bivariant function, including the open flux in the polar cap extends this self-organization. These two variables, b2i (magnetotail stretching) and open flux collectively represent the instantaneous state of the magnetosphere better than does simply knowing the input (solar wind) or ground magnetometer values. Moreover, the self-organizing nature of the approach also lends itself well to using individual pairs of DMSP satellite oval crossing (giving four local time snapshots) to infer the global precipitation pattern.