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

这一提议寻求继续支持，以描述全球电子沉积模式。早期的成果包括基础研究成果，如抑制太阳光中强烈的离散极光，关于太阳周期依赖性的令人惊讶的结果，以及开发面向边界的降水模型。面向边界的模型有几个优点，包括漫射极光仅与漫射极光进行比较，离散与离散，极雨与极雨，等等。以边界为导向的模型的一个强大优势是，它允许在更可靠的基础上从几个给定当地时间的观测推断到椭圆形的其余部分(例如，午夜前强烈的离散极光并不被解释为意味着午夜后有太多扩散极光)。因此，面向边界的模型应该更适合于估计全球降水模式。不是通过太阳风输入或磁强计指数(Kp或AE水平)来组织降水数据，而是在使用粒子边界(b2i，对应于磁尾的伸展)的意义上，数据是自组织的。使模型成为双变量函数，包括极冠中的开放通量，扩展了这种自组织。这两个变量b2i(磁尾伸展)和开放磁通量共同代表了磁层的瞬时状态，而不是简单地知道输入(太阳风)或地面磁力计的值。此外，这种方法的自组织性质也有助于利用DMSP卫星椭圆交叉的单独对(提供四个当地时间快照)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.