The Operational USU GAIM Model

Details The Operational USU GAIM Model The Operational USU GAIM Model

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufmsa52a..03t&link_type=abstract

American Geophysical Union, Fall Meeting 2006, abstract #SA52A-03

Physics

2447 Modeling And Forecasting, 2494 Instruments And Techniques, 6929 Ionospheric Physics (1240, 2400), 7900 Space Weather

Scientific paper

The Utah State University (USU) Global Assimilation of Ionospheric Measurements (GAIM) Gauss-Markov Kalman Filter (GMFK) uses a physics-based model of the ionosphere and a Kalman filter as a basis for assimilating a diverse set of measurements in either real time or historical study modes. The USU GMKF is now operational at the NASA Community Coordinated Modeling Center (CCMC) and is being transitioned to operational status at the Air Force Weather Agency (AFWA) during the fall of 2006. The model is available at the CCMC for "runs on request" for interested parties. At AFWA, the GMKF will run continuously in real time. The physics-based model is the Ionosphere Forecast Model (IFM), which is global and covers the E-region, F- region, and topside from 90 to 1400km. It takes account of five ion species (NO+, O2+, N2+, O+, H+). With the GMFK model the ionospheric electron densities obtained from IFM are used as a background upon which perturbations are imposed based on the available data and their errors. The density perturbations and associated errors evolve over time via a statistical Gauss-Markov process. The Gauss-Markov filter assimilates bottom-side electron density profiles from a variable number of ionosondes; slant TEC from a variable number of GPS satellite/ground station combinations; in-situ electron density from DMSP satellites; and certain line-of-sight UV radiances from satellite-based instruments. The model has both global (with a relatively coarse grid resolution) and regional (with finer resolution) modes; a 24-hour forecast capability; and accepts data with up to 3-hour latency to support real-time operations. We will present the current capabilities of the USU GMKF and discuss the subset of the capabilities that are used for the operational implementations. We will also discuss plans for future updates and upgrades to the USU GMKF that will be available to the operational implementations in the near future.

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