Collaborative Research: Space Weather: Wavelet Based Regional Multi-Resolution Ionosphere Modeling: Investigating Structure of the Equatorial Anomaly

合作研究：空间天气：基于小波的区域多分辨率电离层建模：研究赤道异常的结构

• 批准号: 0417666
• 负责人: Dieter Bilitza
• 金额: --
• 依托单位: Raytheon Technical Services Company
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2008-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0417666&HistoricalAwards=false
• 关键词: Collaborative; Research; Space; Weather; Wavelet

A collaboration between mathematical and space scientists provides a novel data assimilation algorithm, capable of handling temporally and spatially inhomogeneous data sets, to assemble (in a model-useful format) an extensive amount of total electron content (TEC) data. These data are assembled from ionosonde networks, GPS receiver networks, satellite electron density measurements, radio occultation data, and other sources. The data are then described in a multi-resolution ionosphere model using spherical wavelet functions, and a regional description of the ionosphere in the equatorial anomaly is a primary focus of the model application. The methodology takes resultant ionospheric multi-dimensional regional ionospheric maps, generated by the data assimilation and the wavelet description, and then updates the International Reference Ionosphere (IRI) model for improved global ionospheric model accuracy. The research expects to significantly improve operational predictive capability.

数学和太空科学家之间的合作提供了一种新型的数据同化算法，能够在时间和空间上处理不均匀的数据集，以组装（以模型使用的格式）大量的总电子含量（TEC）数据。 这些数据来自Ionosonde网络，GPS接收器网络，卫星电子密度测量，无线电掩盖数据和其他来源。 然后，使用球形小波函数在多分辨率电离层模型中描述数据，赤道异常中电离层的区域描述是模型应用的主要重点。 该方法采用由数据同化和小波描述产生的产生的电离层多维区域层图，然后更新国际参考电离层（IRI）模型，以改善全球电离层模型的准确性。 该研究预计将显着提高运行预测能力。