SSUSI Bibliography


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Found 2 entries in the Bibliography.

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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 of the impact of the various orbital scenarios on the ionospheric specifications. A simulated \textquotedbllefttruth\textquotedblright run of the ionosphere is obtained from a first principle model of the ionosphere/plasmasphere model and used to generate global simulated Global Positioning Satellite total electron content (GPS-TEC) data as well as in situ plasma density observations. Initially, only GPS data were assimilated by GAIM-FP, and the results of this limited run were compared to the truth run. Next, the simulated in situ plasma densities corresponding to our three orbital scenarios were assimilated together with the GPS data, and the results were compared to both the truth run and the limited GPS-TEC only GAIM-FP run. These model simulations have shown that adding a constellation of small satellites/sensors in addition to global TEC inputs does indeed converge the GAIM-FP model closer to truth in the situations described.

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

Ionosphere; modeling


SSUSI Single Sensor Auroral E-layer Algorithm: Functional Description

This report describes the SSUSI single sensor Auroral E-layer algorithm developed by Computational Physics, Inc. for Phillips Laboratory and provided to the Johns Hopkins University Applied Physics Laboratory for incorporation into the operational software for SSUSI. SSUSI is an Ultraviolet Disk and Limb Imager to be flown aboard DMSP satellites for ionospheric and thermospheric remote sensing purposes. The algorithm described here uses the Lyman-alpha intensity and the intensities in two wavelength bands dominated by the Lyman-Birge-Hopfield band system from molecular nitrogen to estimate the characteristic energy and energy flux of electrons and protons in the auroral region. A simple auroral chemistry model is then used to estimate the peak density and height of the auroral E-layer. Uncertainties in the measured intensities and the algorithm parameters are estimated at each stage of the calculation and an estimate of the uncertainty in the calculated quantities is provided along with the quantities themselves.

Daniell, Robert; Whartenby, Williiam; Brown, Lincoln;

Published by:       Published on: 06/1994

YEAR: 1994     DOI: