Computer Science – Sound
Scientific paper
Dec 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufmsa13b1897g&link_type=abstract
American Geophysical Union, Fall Meeting 2011, abstract #SA13B-1897
Computer Science
Sound
[2447] Ionosphere / Modeling And Forecasting
Scientific paper
Data assimilation tools for ionosphere specification are entering a second generation of sophistication. We report on two of the tools developed at ARL:UT. The first tool is a new ensemble model that currently combines USU GAIM, RIB-G and IRI in a weighted fashion depending on variance estimates, and generates variance estimates for each of the component backgrounds, if none exist. The weighting procedure combines both electron densities and their associated uncertainties. The second tool, the Texas Reconfigurable Ionosphere Plasmasphere Logarithmic Data Assimilator (TRIPL-DA), is a data assimilation tool based on the 3DVAR technique. It ingests ionospheric data to modify a background specification (like those listed above, or an ensemble of them) to achieve a user-specified resolution, which may be higher than that of the background specification. TRIPL-DA can incorporate numerous ionospheric data types including absolute or relative TEC from any geometry within the specification, and point measurements. Measurement examples include ionosonde soundings, GPS TEC, LEO-beacon TEC and in situ electron density. User-specified grids may be global or regional, regular or irregular, and their resolution is limited (in a practical sense) only by available computing power, including vertical profiles to arbitrary altitudes. TRIPL-DA also includes error and correlation estimates, including from the background specification; and instrumentation & representativeness errors, among others. We will present an overview of the ensemble model and data assimilation tool, and show several examples of ionosphere specifications generated from various data source types.
Calfas R. S.
Gaussiran T.
Pierce Michael S.
Rainwater David
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