Kilcommons Liam M, Redmon Robert J, Knipp Delores J
Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, Colorado, USA.
NOAA/NCEI, Boulder, Colorado, USA.
J Geophys Res Space Phys. 2017 Aug;122(8):9068-9079. doi: 10.1002/2016JA023342. Epub 2017 Aug 10.
We have developed a method for reprocessing the multi-decadal, multi-spacecraft Defense Meteorological Satellite Program Magnetometer (DMSP SSM) dataset and have applied it to fifteen spacecraft-years of data (DMSP Flight 16-18, 2010-2014). This Level-2 dataset improves on other available SSM datasets with recalculated spacecraft locations and magnetic perturbations, artifact signal removal, representations of the observations in geomagnetic coordinates, and in-situ auroral boundaries. Spacecraft locations have been recalculated using ground-tracking information. Magnetic perturbations (measured field minus modeled main-field) are recomputed. The updated locations ensure the appropriate model field is used. We characterize and remove a slow-varying signal in the magnetic field measurements. This signal is a combination of ring current and measurement artifacts. A final artifact remains after processing: step-discontinuities in the baseline caused by activation/deactivation of spacecraft electronics. Using coincident data from the DMSP precipitating electrons and ions instrument (SSJ4/5), we detect the in-situ auroral boundaries with an improvement to the Redmon et al. [2010] algorithm. We embed the location of the aurora and an accompanying figure of merit in the Level-2 SSM data product. Finally, we demonstrate the potential of this new dataset by estimating field-aligned current (FAC) density using the Minimum Variance Analysis (MVA) technique. The FAC estimates are then expressed in dynamic auroral boundary coordinates using the SSJ-derived boundaries, demonstrating a dawn-dusk asymmetry in average FAC location relative to the equatorward edge of the aurora. The new SSM dataset is now available in several public repositories.
我们开发了一种对多十年、多航天器的国防气象卫星计划磁力仪(DMSP SSM)数据集进行再处理的方法,并将其应用于15个航天器年的数据(DMSP飞行16 - 18号,2010 - 2014年)。这个二级数据集在重新计算航天器位置和磁扰动、去除伪像信号、以地磁坐标表示观测数据以及原位极光边界等方面,对其他可用的SSM数据集进行了改进。航天器位置已利用地面跟踪信息重新计算。磁扰动(测量场减去建模主磁场)已重新计算。更新后的位置确保使用适当的模型场。我们对磁场测量中的一个缓慢变化信号进行了特征描述并去除。这个信号是环电流和测量伪像的组合。处理后仍存在一个最终伪像:航天器电子设备激活/停用导致的基线阶跃不连续性。利用DMSP沉淀电子和离子仪器(SSJ4/5)的同步数据,我们对Redmon等人[2010]的算法进行改进,检测到了原位极光边界。我们将极光位置及一个伴随的品质因数嵌入到二级SSM数据产品中。最后,我们通过使用最小方差分析(MVA)技术估计场向电流(FAC)密度,展示了这个新数据集的潜力。然后利用SSJ推导的边界,将FAC估计值以动态极光边界坐标表示,显示出平均FAC位置相对于极光赤道边缘的晨昏不对称性。新的SSM数据集现已在多个公共存储库中提供。