edu.ucar.opensky::articles:26409 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:28:53.329222 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7154n10 EnKF ionosphere and thermosphere data assimilation algorithm through a sparse matrix method 2019-08-01T00:00:00Z publication https://n2t.org/ark:/85065/d7154n10 https://doi.org/10.1029/2019JA026554 He, J. author Yue, X. author Wang, Wenbin author Wan, W. author UCAR/NCAR - Library publisher In this work, we constructed an ensemble Kalman filter (EnKF) ionosphere and thermosphere data assimilation system using the National Center for Atmospheric Research Thermosphere Ionosphere Electrodynamics General Circulation Model (NCAR-TIEGCM) as the background model. We use a sparse matrix method to avoid significant matrix related calculation and storage. A series of observing system simulation experiments have been conducted to assess the performance of the system. The results show that the system optimizes ionosphere drivers efficiently by assimilating electron densities through their covariance. The short-term forecast capability is enhanced significantly, and the effect of initial condition correction lasts for longer than 24 hr. To our knowledge, this is the first study to demonstrate that the EnKF-based global ionosphere and thermosphere data assimilation can be conducted without using a supercomputer. This workstation-based EnKF ionosphere and thermosphere data assimilation system benefits both scientific studies and near-real-time operation. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2019 American Geophysical Union. None eng geoscientificInformation