电波科学学报2024，Vol.39Issue(2)：313-321,9.DOI:10.12265/j.cjors.2023034
一种近实时全球电离层数据同化和预报系统的构建与实现
Construction and implementation of a near-real-time global ionospheric data assimilation and forecasting system
摘要
Abstract
Ionospheric weather changes are becoming one of the most important contents of space weather forecasting.The establishment of a reliable and accurate ionospheric characteristic parameter nowcast and forecast system is of great value to space scientific research and military and civilian radio frequency systems.Based on the real-time ground-based GNSS data and ionosonde data from International GNSS Service(IGS)and Global Ionospheric Radio Observatory(GIRO),taking the International Reference Ionospheric(IRI)as the background model,adopting Gauss-Markov-band-limited Kalman filter assimilation algorithm,combining with ultra-large-scale matrix sparse storage and processing methods,a near-Real-Time Global Ionospheric Data Assimilation and Forecasting System(RT-GIDAM)is built on the cloud computing platform.The system has the ability of specification and prediction of global ionospheric total electron content(TEC)and electron density in near real time(with a delay of about 5 min),higher spatial and temporal resolution(5°×2.5°×15 min).The establishment of RT-GIDAM can provide data support for space physics research and related radiowave system applications.关键词
电离层/近实时/数据同化和预报/地基GNSS/测高仪Key words
ionosphere/near real-time/data assimilation and forecast/ground-based GNSS/ionosonde分类
天文与地球科学引用本文复制引用
欧明,陈龙江,甄卫民,朱庆林..一种近实时全球电离层数据同化和预报系统的构建与实现[J].电波科学学报,2024,39(2):313-321,9.基金项目
国家重点研发计划(2022YFF0503900) （2022YFF0503900）
