Physics
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agufmsa21a0427h&link_type=abstract
American Geophysical Union, Fall Meeting 2002, abstract #SA21A-0427
Physics
2447 Modeling And Forecasting, 2481 Topside Ionosphere, 3337 Numerical Modeling And Data Assimilation
Scientific paper
As the number of ground and space-based receivers tracking the global positioning system (GPS) steadily increases, and ionospheric remote sensing data such as measurements of airglow become available, it is becoming possible to monitor changes in the ionosphere continuously and on a global scale with unprecedented accuracy and reliability. This is best achieved by means of data assimilation using a 4-dimensional (4DVAR) scheme or a recursive statistical estimation approach such as the Kalman filter. Our presentation will review the development of a Global Assimilative Ionospheric Model (GAIM) at the University of Southern California and the Jet Propulsion Laboratory capable of assimilating various types of data including ground and flight GPS total electron content (TEC), ionosondes and airglow measurements. The recursive estimation technique is used to the determination of electron density with a relatively short data assimilation cycle of ~15 minutes. The 4DVAR technique is used to estimate the ionospheric driving forces with a longer data assimilation cycle of ~ 2 hours. The optimized ionospheric state variables and driving forces are then used in the forward model to produce new forecasts for ionospheric variables. The evaluation of either approach is first made through Observation System Simulation Experiments (OSSE) in which simulated measurements derived from forward model output are used. Our presentation will describe GAIM and examine its analyses by assimilating GPS TEC data from nearly 100 global ground stations and the currently operating GPS flight experiments, CHAMP, SAC-C and IOX. A series of GAIM retrievals will be presented and validated by comparisons to: vertical TEC data from the TOPEX altimeter, slant TEC data from ground GPS sites not used in the assimilation, and a global network of ionosondes.
Hajj G.
Pi Xiaoqing
Rosen Gary
Straus P.
Wang Chenjie
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