Assimilation of Space-Based Ultraviolet Data Into a Recursive Global Ionospheric Model

Details Assimilation of Space-Based Ultraviolet Data Into a Recursive Global Ionospheric Model Assimilation of Space-Based Ultraviolet Data Into a Recursive Global Ionospheric Model

Dec 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003agufmsm51b0518k&link_type=abstract

American Geophysical Union, Fall Meeting 2003, abstract #SM51B-0518

Other

2415 Equatorial Ionosphere, 2439 Ionospheric Irregularities, 2447 Modeling And Forecasting, 2722 Forecasting, 2753 Numerical Modeling

Scientific paper

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 1356Å~ 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.

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