Other
Scientific paper
Dec 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufmsa21a1868s&link_type=abstract
American Geophysical Union, Fall Meeting 2011, abstract #SA21A-1868
Other
[2427] Ionosphere / Ionosphere/Atmosphere Interactions, [2447] Ionosphere / Modeling And Forecasting, [2467] Ionosphere / Plasma Temperature And Density
Scientific paper
The Utah State University (USU) Global Assimilation of Ionospheric Measurement - Gauss Markov (GAIM-GM) model is run in real-time by the US Air Force Weather Agency (AFWA) to provide both specification and forecast of the ionosphere. At USU for development, validation, and testing versions of GAIM-GM are run in the Space Weather Center (SWC). This study describes the results of one such set of test runs and their validation. The standard GAIM-GM operates on as little as ground-based GPS total electron content (TEC) input. Other data sets are used as they become available in real-time, e.g., ionosonde electron density profiles (EDP), COSMIC satellite TEC, in-situ DMSP plasma measurements, etc. In this study the basic GAIM-GM is ran with only GPS TEC ground-based observations and then a second version is run with only ionosonde data. The two tests are conducted over the same period using real-time available observations. Note the current USU-SWC GAIM operations uses a 3 hour latency period hence "real-time" observations include all observations available to USU-SWC within the past three hours. Fundamentally, the two types of observations, TEC and ionosonde EDP are very different. The former is the integral over an ionospheric path that is roughly represented by the latter, the EDP. An ionosonde, ground-based, can only observe up to the F-layer peak, hence less than 50% of the TEC path. This study is regional and covers a region where the number of ionosondes and GPS receivers are similar. Hence, comparing the two GAIM-GM simulations will provide an insight into how the assimilation technique differentiates between the two different data types. This information will then provide better appreciation of how GAIM-GM operates when both data types are combined. The combined TEC plus EDP forms a third GAIM-GM simulation which will also be presented.
Fulgham J. A.
Gardner Carl L.
Heaton L. E.
Rice David
Scherliess Ludger
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