Ionosphere/Thermosphere Climatology at Low and Mid-Latitude During Solar Minimum Obtained From the GAIM-Physics-Based Data Assimilation Model (GAIM-FP)

Details Ionosphere/Thermosphere Climatology at Low and Mid-Latitude During Solar Minimum Obtained From the GAIM-Physics-Based Data Assimilation Model (GAIM-FP) Ionosphere/Thermosphere Climatology at Low and Mid-Latitude During Solar Minimum Obtained From the GAIM-Physics-Based Data Assimilation Model (GAIM-FP)

Dec 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufmsa51c1955s&link_type=abstract

American Geophysical Union, Fall Meeting 2011, abstract #SA51C-1955

Physics

[2427] Ionosphere / Ionosphere/Atmosphere Interactions, [2443] Ionosphere / Midlatitude Ionosphere, [2447] Ionosphere / Modeling And Forecasting

Scientific paper

Our ability to specify and forecast ionospheric dynamics and weather at low and mid latitudes is strongly limited by our current understanding of the coupling processes in the ionosphere-thermosphere system and the coupling between the high and low latitude regions. Furthermore only a limited number of observations are available for a specification of ionospheric dynamics and weather at these latitudes. As shown by meteorologists and oceanographers, the best specification and weather models are physics-based data assimilation models that combine the observational data with our understanding of the physics of the environment. Therefore, we have developed and continue to develop four data assimilation models; two for the ionosphere, one for the high-latitude ionosphere dynamics, and one for the thermosphere. One of these models is the Global Assimilation of Ionospheric Measurements Full-Physics model (GAIM-FP). The model is based on an Ensemble Kalman filter technique and a physics-based model of the ionosphere/plasmasphere (IPM), which covers the altitude range from 90 to 20,000 km, includes six ion species, is based on the International Geomagnetic Reference Field (IGRF), and allows for inter-hemisphere flow. The model can assimilate bottom-side Ne profiles from ionosondes, slant TEC from ground-based GPS stations, in situ Ne from the DMSP satellites, occultation data from several satellites, and line-of-sight UV emissions measured by satellites. As an output the assimilation model provides the 3-dimensional density distribution throughout the ionosphere and information about the physical drivers, including the neutral winds, composition and electric fields. In the current application of the model we have assimilated COSMIC occultation data over several 4-month long periods During the last solar minimum to specify the low- and mid-latitude ionosphere/thermosphere climatology. The model was used to determine the average ionospheric morphology and the various driving forces. We will present examples of the ionosphere climatology and driver specifications obtained from our model runs with an emphasis on a comparison with independent data.

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