R. G. Michell
Goddard Space Flight Center
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Featured researches published by R. G. Michell.
Journal of Geophysical Research | 2015
K. A. Lynch; D. L. Hampton; M. Zettergren; T. A. Bekkeng; Mark Conde; P. A. Fernandes; P. Horak; M. Lessard; R. J. Miceli; R. G. Michell; J. Moen; M. J. Nicolls; S. P. Powell; M. Samara
A detailed, in situ study of field-aligned current (FAC) structure in a transient, substorm expansion phase auroral arc is conducted using electric field, magnetometer, and electron density measurements from the Magnetosphere-Ionosphere Coupling in the Alfven Resonator (MICA) sounding rocket, launched from Poker Flat, AK. These data are supplemented with larger-scale, contextual measurements from a heterogeneous collection of ground-based instruments including the Poker Flat incoherent scatter radar and nearby scanning doppler imagers and filtered all-sky cameras. An electrostatic ionospheric modeling case study of this event is also constructed by using available data (neutral winds, electron precipitation, and electric fields) to constrain model initial and boundary conditions. MICA magnetometer data are converted into FAC measurements using a sheet current approximation and show an up-down current pair, with small-scale current density and Poynting flux structures in the downward current channel. Model results are able to roughly recreate only the large-scale features of the field-aligned currents, suggesting that observed small-scale structures may be due to ionospheric feedback processes not encapsulated by the electrostatic model. The model is also used to assess the contributions of various processes to total FAC and suggests that both conductance gradients and neutral dynamos may contribute significantly to FACs in a narrow region where the current transitions from upward to downward. Comparison of Poker Flat Incoherent Scatter Radar versus in situ electric field estimates illustrates the high sensitivity of FAC estimates to measurement resolution.
Radio Science | 2016
Paul A. Bernhardt; Carl L. Siefring; S. J. Briczinski; M. J. McCarrick; R. G. Michell
The enormous transmitter power, fully programmable antenna array, and agile frequency generation of the High Frequency Active Auroral Research Program (HAARP) facility in Alaska have allowed the production of unprecedented disturbances in the ionosphere. Using both pencil beams and conical (or twisted) beam transmissions, artificial ionization clouds have been generated near the second, third, fourth, and sixth harmonics of the electron gyrofrequency. The conical beam has been used to sustain these clouds for up to 5 h as opposed to less than 30 min durations produced using pencil beams. The largest density plasma clouds have been produced at the highest harmonic transmissions. Satellite radio transmissions at 253 MHz from the National Research Laboratory TACSat4 communications experiment have been severely disturbed by propagating through artificial plasma regions. The scintillation levels for UHF waves passing through artificial ionization clouds from HAARP are typically 16 dB. This is much larger than previously reported scintillations at other HF facilities which have been limited to 3 dB or less. The goals of future HAARP experiments should be to build on these discoveries to sustain plasma densities larger than that of the background ionosphere for use as ionospheric reflectors of radio signals.
Journal of Geophysical Research | 2016
Guy Grubbs; R. G. Michell; M. Samara; Don Hampton; Jorg Micha Jahn
A technique is presented for the periodic and systematic calibration of ground-based optical imagers. It is important to have a common system of units (Rayleighs or photon flux) for cross comparison as well as self-comparison over time. With the advancement in technology, the sensitivity of these imagers has improved so that stars can be used for more precise calibration. Background subtraction, flat fielding, star mapping, and other common techniques are combined in deriving a calibration technique appropriate for a variety of ground-based imager installations. Spectral (4278, 5577, and 8446 A ) ground-based imager data with multiple fields of view (19, 47, and 180 deg) are processed and calibrated using the techniques developed. The calibration techniques applied result in intensity measurements in agreement between different imagers using identical spectral filtering, and the intensity at each wavelength observed is within the expected range of auroral measurements. The application of these star calibration techniques, which convert raw imager counts into units of photon flux, makes it possible to do quantitative photometry. The computed photon fluxes, in units of Rayleighs, can be used for the absolute photometry between instruments or as input parameters for auroral electron transport models.
Journal of Geophysical Research | 2018
Guy Grubbs; R. G. Michell; M. Samara; D. L. Hampton; James H. Hecht; Stanley C. Solomon; Jorg Micha Jahn
It is important to routinely examine and update models used to predict auroral emissions resulting from precipitating electrons in Earth’s magnetotail. These models are commonly used to invert spectral auroral ground-based images to infer characteristics about incident electron populations when in situ measurements are unavailable. In this work, we examine and compare auroral emission intensities predicted by three commonly used electron transport models using varying electron population characteristics. We then compare model predictions to same-volume in situ electron measurements and ground-based imaging to qualitatively examine modeling prediction error. Initial comparisons showed differences in predictions by the GLobal airglOW (GLOW) model and the other transport models examined. Chemical reaction rates and radiative rates in GLOW were updated using recent publications, and predictions showed better agreement with the other models and the same-volume data, stressing that these rates are important to consider when modeling auroral processes. Predictions by each model exhibit similar behavior for varying atmospheric constants, energies, and energy fluxes. Same-volume electron data and images are highly correlated with predictions by each model, showing that these models can be used to accurately derive electron characteristics and ionospheric parameters based solely on multispectral optical imaging data.
Journal of Geophysical Research | 2018
B. K. Humberset; J. W. Gjerloev; Ian R. Mann; R. G. Michell; M. Samara
The pulsating aurora covers a broad range of fluctuating shapes that are poorly characterized. The purpose of this paper is therefore to provide objective and quantitative measures of the extent to which pulsating auroral patches maintain their shape, drift and fluctuate in a coherent fashion. We present results from a careful analysis of pulsating auroral patches using all-sky cameras. We have identified four well-defined individual patches that we follow in the patch frame of reference. In this way we avoid the space-time ambiguity which complicates rocket and satellite measurements. We find that the shape of the patches is remarkably persistent with 85-100% of the patch being repeated for 4.5-8.5 min. Each of the three largest patches has a temporal correlation with a negative dependence on distance, and thus does not fluctuate in a coherent fashion. A time-delayed response within the patches indicates that the so-called streaming mode might explain the incoherency. The patches appear to drift differently from the SuperDARN-determined
Journal of Geophysical Research | 2015
A. N. Jaynes; M. R. Lessard; Kazue Takahashi; A. F. Ali; D. M. Malaspina; R. G. Michell; E. Spanswick; D. N. Baker; J. B. Blake; C. M. Cully; E. Donovan; C. A. Kletzing; G. D. Reeves; M. Samara; Harlan E. Spence; J. R. Wygant
\stackrel{\rightarrow}{E}
Journal of Geophysical Research | 2016
P. A. Fernandes; K. A. Lynch; M. Zettergren; D. L. Hampton; T. A. Bekkeng; I. J. Cohen; Mark Conde; L. E. Fisher; P. Horak; M. R. Lessard; R. J. Miceli; R. G. Michell; J. Moen; S. P. Powell
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Journal of Geophysical Research | 2015
M. Samara; R. G. Michell; Robert J. Redmon
\stackrel{\rightarrow}{B}
Journal of Geophysical Research | 2016
B. K. Humberset; J. W. Gjerloev; M. Samara; R. G. Michell; Ian R. Mann
convection velocity. However, in a nonrotating reference frame the patches drift with 230-287 m/s in a north eastward direction, which is what typically could be expected for the convection return flow.
Journal of Geophysical Research | 2016
R. G. Michell; M. Samara; Guy Grubbs; K. Ogasawara; Greg Miller; John A. Trevino; J. Webster; J. Stange