Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) of the November 2004 Geomagnetic Storm

Details Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) of the November 2004 Geomagnetic Storm Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) of the November 2004 Geomagnetic Storm

Dec 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agufmsa11a1493d&link_type=abstract

American Geophysical Union, Fall Meeting 2008, abstract #SA11A-1493

Other

2441 Ionospheric Storms (7949), 2722 Forecasting (7924, 7964), 7270 Tomography (6982, 8180), 7959 Models

Scientific paper

One of the current limitations to the community's understanding of ionospheric processes is knowledge of the local physical drivers responsible for the distribution of ionospheric electron density. Direct measurement of these drivers is infrequent and spatially scarce. Our ongoing goal has been to use measurements that are plentiful, such as TEC-based density specification, to infer the drivers. This technique we call Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE). The EMPIRE algorithm and validation methods, using simulated ionospheric data from the Thermosphere Ionosphere Mesosphere Electrodynamics General Circulation Model (TIMEGCM-ASPEN) physics-based model [Crowley et al., 1999], were described by Bust et al. [2008]. The EMPIRE weighted least squares estimates of the field-aligned neutral winds in the equatorial region were in reasonable agreement with the TIMEGCM background model "true" winds. The other drivers, such as production, loss, diffusion, gravity, and drifts, were modeled as known quantities. Here we present results, based upon an improved algorithm, that estimate corrections to other physical drivers, such as diffusion, ExB drifts, production and loss, simultaneously with estimating the neutral winds. In addition, we apply the new algorithm to actual estimates of the 4D electron density field, obtained from the ionospheric data assimilation algorithm IDA4D, for a quiet day and for the November 2004 magnetic storm. The EMPIRE estimates of the field-aligned velocity terms in the continuity equation are compared to Arecibo incoherent scatter radar measurements, when available, for validation. Bust, G. S., S. Datta-Barua, G. Crowley, and N. Curtis [2008], "Estimation of neutral winds from 4D ionospheric imaging," presented at the XXIX General Assembly of the International Union of Radio Science (URSI), Chicago, IL, 7-16 Aug 2008. Crowley, G., C. Freitas, A. Ridley, D. Winningham, R. G. Roble, and A. D. Richmond, "Next Generation Space Weather Specification and Forecasting Model," Proceedings of the Ionospheric Effects Symposium, Alexandria, VA, pp 34-41, October 1999.

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