Optimizing the Operational Use of GAIM by Varying Input Data Sets

Details Optimizing the Operational Use of GAIM by Varying Input Data Sets Optimizing the Operational Use of GAIM by Varying Input Data Sets

May 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agusmsa23a..09d&link_type=abstract

American Geophysical Union, Spring Meeting 2005, abstract #SA23A-09

Physics

2435 Ionospheric Disturbances, 2437 Ionospheric Dynamics, 2439 Ionospheric Irregularities

Scientific paper

The Global Assimilative Ionospheric Model (GAIM) has been developed since 1999 under the Multidisciplinary University Research Initiatives (MURI) program sponsored by the U.S. Department of Defense. For more than a year, the Naval Research Laboratory has been evaluating GAIM for potential application to a number of ionospheric mitigation needs. Data sets that may be ingested by GAIM include slant path (TEC) measurements from GPS ground-based receivers, bottomside electron density profiles from ground-based ionosondes, line-of-sight ultraviolet emissions and in situ electron density measurements from DoD satellites. A particular concern for the implementation of GAIM for routine density specification is the amount of data required to specify the ionosphere and the increase in processing time. This work focuses on using GAIM to estimate the point of diminishing returns for improving the density specification by increasing the amount of available data verses processing time. The quality of the GAIM specification will be evaluated against ground-truth data that was not assimilated. The results of this work will be used to determine how to maximize the use data sources available to GAIM in an operational environment. Conditions of high and low geomagnetic scenarios are considered.

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