Space Weather: Specifying Outer Belt Electrons by Data Assimilation

这一研究方案将开发一种方法，将来自卫星的高能粒子数据纳入外层带高能粒子经验CRRES-ELE模型。 将使用的数据同化技术是一种“轻推”形式，通常用于将数据同化到陆地天气模型中。 该技术已经被证明可以将CRESS-ELE模型中的误差减少多达一个数量级。 该计划的目标将是产生一个在所有条件下准确率为80%的外带高能粒子模型。 该模型的输出将为NOAA空间环境中心和空军第55空间气象中队量身定制。

This research program will develop a method for assimilating energetic particle data from satellites into the empirical CRRES-ELE model for outer belt energetic particles. The data assimilation technique to be used is a form of "nudging" that is commonly used in assimilating data into terrestrial weather models. The technique has already been shown to reduce the error in the CRESS-ELE model by as much as an order of magnitude. The goal of the program will be to produce a model of outer belt energetic particles that is 80% accurate under all conditions. The outputs of the model will be tailored for use by the NOAA Space Environment Center and the Air Force 55th Space Weather squadron.