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Methodology of evaluating the science benefit of various satellite/sensor constellation orbital parameters to an assimilative data forecast model
A methodology for evaluating the science benefit of adding space weather sensor data from a modest number of small satellites to the Utah State University Global Assimilation of Ionospheric Measurements\textemdashFull Physics (GAIM-FP) model is presented. Three orbital scenarios are presented, two focusing on improved coverage of narrowly specified regions of interest, and one on global coverage of the ionosphere as a whole. An Observing System Simulation Experiment is used to obtain qualitative and quantitative results o ...
Balthazor, Richard; McHarg, Matthew; Enloe, Lon; Mueller, Brandon; Barnhart, David; Hoeffner, Zachary; Brown, Robert; Scherliess, Ludger; Wilhelm, Lance;
Published by: Radio Science Published on: 04/2015
YEAR: 2015   DOI: 10.1002/2014RS005426
Global Assimilation of Ionospheric Measurements (GAIM) - Gauss Markov (GM) Model: Improved Specifications with Multiple Data Types
The Earth\textquoterights ionosphere is a highly dynamic region that is almost constantly in a state of flux. Solar radiation, geomagnetic activity, chemical reactions, and natural dynamics all act to perturb the state of the ionosphere. The ionosphere changes on time scales of hours to days, with the fine-scale ionospheric structures that are frequently observed lacking in global physics-based models due to time-step and spatial resolution constraints. To properly specify the ionosphere, data is needed, thus data assimil ...
Gardner, L.; Schunk, R.; Scherliess, L.; Sojka, J.; Zhu, L.;
Published by: Space Weather Published on: 11/2014
YEAR: 2014   DOI: 10.1002/2014SW001104