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Abstract

The Development of a Global Assimilation of Ionospheric Measurements (GAIM) Model. Abstract.

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Abstract

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  1. The Development of a Global Assimilation of Ionospheric Measurements (GAIM) Model Abstract The Department of Defense (DoD) has recently funded a Multi-Disciplinary University Research Initiative (MURI) to develop a global, ionospheric data assimilation model. This funding represents the first time a concerted effort has been made to develop a Space Weather global ionospheric model similar to the numerical weather models that were initiated more than forty years ago. This poster will describe the philosophy and status of the Global Assimilation of Ionospheric Measurements (GAIM) model that is being developed by a consortium of universities that include Utah State University (USU), the University of Colorado (CU), the University of Texas at Dallas (UTD), and the University of Washington (UW). • Basis for GAIM is a physics-based Ionosphere-Plasmasphere Model • A diverse set of near real-time Data will be Assimilated into GAIM Model • GAIM provides both Specification and Forecasts on a Global, Regional and Local Grid • Model Construction • Data Quality Assessment • Data Assimilation • Executive System • Validation Program OverallGAIM Plan Seasonal and Solar Cycle Variability in Observed Vertical ExB Drift at Jicamarca Basic Approach Proposed Tasks Sensitivity of Peak Electron Density, Nmax, to Vertical ExB Drift Velocity The Earth’s Nighttime Equatorial Anomaly Crests as Seen in 1356 Å Light - Photographed from the Moon GAIM Accomplishments After the First Year New Techniques for Remote Sensing of the Ionosphere from Space GPS • Developed basic GAIM plan and flow chart for assimilating all available observations. • High latitude convection and particle precipitation modules have been developed. • Low latitude vertical ExB drift modules utilizing magnetometer and digital sounder observations have been developed. • Established the Kalman filter approach that will be used in determining neutral composition changes during geomagnetic storms. • Developed the initial Kalman filter algorithm that will assimilate all available, near real-time electron density data. UV Remote Sensing Limb Transit Nadir Topside Sounder Tomography Occultation Ionosphere 90-1000 km David Anderson, Tim Fuller-Rowell, Mihail Codrescu, Cliff Minter, Adela Anghel CIRES, University of Colorado and Space Environment Center GAIM Players Model Drivers Utah State University • R. W. Schunk, PI • J. J. Sojka • D. C. Thompson • W. S. Schreiner (USU/UCAR) • Ludger Scherliess • Shawna Johnson • Geon-Hwa Jee • Hamed Bekerat University of Washington (UW) • B. M. Howe • K. Runciman University of Colorado - Boulder (CU) • D. N. Anderson • T. J. Fuller-Rowell • M. V. Codrescu • A. Komjathy • Cliff Minter • Adela Anghel University of Texas at Dallas • R. A. Heelis • Research Scientist • 2 Graduate Students • Equatorial E • Neutral Atmosphere (N2, O2, O, Tn) • Neutral Wind • Magnetospheric E • Auroral Precipitation Ionospheric Specification and Forecasts Local Global Regional Neutral Composition Storm Perturbations DMSP/SSUSI

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