five

Replication data for \"Electrojet estimates from mesospheric magnetic field measurements\"

收藏
DataONE2020-09-14 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:fc4e2ef52ecda70e2b3b2be51c53d0609a178d94610460da68b72832f9bce1f6
下载链接
链接失效反馈
官方服务:
资源简介:
Dataset used to develop and demonstrate inversion technique for electrojet based on simulated Zeeman magnetic field measurements from the mesosphere.The dataset contains 1) a file with detailed information about the data in the other files (00_ReadMe), 2) a dataset of MHD simulation output (including metadata ), and 3) a dataset of simulated Zeeman magnetic field observations. More details are available in related publication. The auroral electrojet is traditionally measured remotely with magnetometers on ground or in low Earth orbit (LEO). The sparse distribution of measurements, combined with a vertical distance of some 100 km to ground and typically >300 km to LEO satellites, means that smaller scale sizes can not be detected. Because of this, our understanding of the spatiotemporal characteristics of the electrojet is incomplete. Recent advances in measurement technology give hope of overcoming these limitations by multi-point remote detections of the magnetic field in the mesosphere, very close to the electrojet. We present a prediction of the magnitude of these disturbances, inferred from the spatiotemporal characteristics of magnetic field-aligned currents. We also discuss how a small satellite that carries Zeeman magnetic field sensors [Yee et al., 2020] could be used to essentially image the equivalent current at unprecedented spatial resolution. The electrojet imaging is demonstrated by combining carefully simulated measurements with a spherical elementary current representation using a novel inversion scheme.
创建时间:
2024-01-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作