HR: 0830h
AN: SM51B-0518    [PDF]
TI: Assimilation of Space-Based Ultraviolet Data Into a Recursive Global Ionospheric Model
AU: * Kamalabadi, F
EM: farzadk@uiuc.edu
AF: University of Illinois at Urbana-Champaign, 1308 W Main St, Urbana, IL 61801
AU: Hajj, G
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109
AU: Hajj, G
AF: University of Southern California, 1042 W. 36th Place, Los Angeles, CA 90089
AU: Pi, X
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109
AU: Pi, X
AF: University of Southern California, 1042 W. 36th Place, Los Angeles, CA 90089
AU: Wang, C
AF: University of Southern California, 1042 W. 36th Place, Los Angeles, CA 90089
AU: Wilson, B
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109
AB: The Global Assimilative Ionosphere Model (GAIM) estimates the ionospheric electron density on a 3-dimensional global grid using a first-principles physics model and recursive estimation and optimal filtering techniques such as the Kalman filter. Slant Total Electron Content (TEC), measured using radio transmissions from the Global Positioning System (GPS) and a network of ground receivers, has been thus far the primary data source for the assimilation and specification of the ionosphere. Nevertheless, it has been shown that spectroscopic measurements of prominent optically thin emissions such as 1356\AA~ produced by the radiative recombination of O$^+$ in the nighttime ionosphere are proportional to the square of TEC. Furthermore, the recent unprecedented measurements by the HIRAAS experiment onboard ARGOS satellite, as well as those made by the GUVI instrument onboard TIMED satellite offer a unique opportunity to incorporate global-scale optical data into GAIM. The focus of the work presented here is twofold: First, we investigate the specification capabilities of GAIM by comparing model-produced UV intensities from GAIM with GUVI measurements; and second, we assess the effectiveness of UV data for specifying the ionospheric electron density by means of data assimilation. In particular, we examine the effectiveness of GAIM in reproducing features in the equatorial ionosphere such as global patterns of the Appleton anomaly as detected recently by GUVI, as well as the ability of GAIM for specifying electron density profiles. Finally, other data sources such as TEC, ionosondes, and incoherent scatter radar measurements will be used for cross comparisons and validation.
DE: 2415 Equatorial ionosphere
DE: 2439 Ionospheric irregularities
DE: 2447 Modeling and forecasting
DE: 2722 Forecasting
DE: 2753 Numerical modeling
SC: SPA - Magnetospheric Physics [SM]
MN: 2003 Fall Meeting