USU global ionospheric data assimilation models

Robert W. Schunk; Ludger Scherliess; Jan J. Sojka; Donald C. Thompson

doi:10.1117/12.562448

14 October 2004 USU global ionospheric data assimilation models

Robert W. Schunk, Ludger Scherliess, Jan J. Sojka, Donald C. Thompson

Proceedings Volume 5548, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective; (2004) https://doi.org/10.1117/12.562448
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

The USU global ionospheric data assimilation model is part of the Global Assimilation of Ionospheric Measurements (GAIM). This model uses a physics-based ionosphere-plasmasphere-polar wind model and a Kalman filter as a basis for assimilating a diverse set of real-time (or near real-time) measurements. Some of the data that are assimilated include in situ electron density measurements from the DMSP satellites, bottomside electron density profiles from the Air Force network of digisondes, GPS-TEC data from a network of more than 900 stations, and occultation data. GAIM provides specifications and forecasts on a spatial grid that can be global, regional, or local. The primary GAIM output is in the form of 3-dimensional electron density distributions from 90 km to the geosynchronous altitude. GAIM also provides auxiliary parameters (N_mF₂, h_mF₂, N_mE, h_mE, slant and vertical TEC) and global distributions of the self-consistent ionospheric drivers (neutral winds and densities, electric fields, and particle precipitation). In its specification mode, GAIM provides quantitative estimates for the accuracy of the reconstructed ionospheric densities. In addition to the physics-based, Kalman filter model, we have also developed a Gauss-Markov Kalman filter model. The status of the models and the relevant applications are discussed.

Citation Download Citation

Robert W. Schunk, Ludger Scherliess, Jan J. Sojka, and Donald C. Thompson "USU global ionospheric data assimilation models", Proc. SPIE 5548, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective, (14 October 2004); https://doi.org/10.1117/12.562448

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available