Mathematics – Logic
Scientific paper
Dec 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufmsm51a1771b&link_type=abstract
American Geophysical Union, Fall Meeting 2010, abstract #SM51A-1771
Mathematics
Logic
[2447] Ionosphere / Modeling And Forecasting, [7934] Space Weather / Impacts On Technological Systems, [7934] Space Weather / Impacts On Technological Systems, [7959] Space Weather / Models
Scientific paper
In previous studies, a prototype schema was developed for estimating the relative utilities of data types used by assimilative global ionospheric models [SA43A-1614, 2009 AGU Fall Meeting; Paper 152, International Beacon Satellite Symposium 2010, BSS2010]. Herein we apply the core of that schema, namely the spatial and temporal coverage provided by each data source, to examine the diurnal percentage of the ionosphere that can be specified by various typical sets of available data types. In essence we examine the questions: “how much of the task can this data set support, where are the gaps, and what data might be used to fill these gaps?” Another way to state this is that we are examining approaches to estimate the impact of each data set, and combinations of data sets, on the overall task of diurnal global ionospheric specification. Since the data sets are to be assimilated into global ionospheric models to actually generate a complete global specification, we further examine approaches to estimating what a model’s product performance might be, when assimilating these data sets. We will present the details of the approach, the assumptions used in configuration for the estimation studies, and results for various feasible data sets and combinations thereof.
Bishop G. J.
McNamara Leo F.
Welsh James
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