221,737 research outputs found
The TEC as a theory of embodied cognition.
We argue that the strengths of the Theory of Event Coding (TEC) can usefully be applied to a wider scope of cognitive tasks, and tested by more diverse methodologies. When allied with a theory of conceptual representation such as Barsalou's (1999a) perceptual symbol systems, and extended to data from eye-movement studies, the TEC has the potential to address the larger goals of an embodied view of cognition
Pre-seismic ionospheric anomalies detected before the 2016 Taiwan earthquake
On Feb. 5 2016 (UTC), an earthquake with moment magnitude 6.4 occurred in
southern Taiwan, known as the 2016 (Southern) Taiwan earthquake. In this study,
evidences of seismic earthquake precursors for this earthquake event are
investigated. Results show that ionospheric anomalies in Total Electric Content
(TEC) can be observed before the earthquake. These anomalies were obtained by
processing TEC data, where such TEC data are calculated from phase delays of
signals observed at densely arranged ground-based stations in Taiwan for Global
Navigation Satellite Systems. This shows that such anomalies were detected
within 1 hour before the event
Plasmaspheric effects on one way satellite timing signals
The effects of the ionospheric retardation of satellite-emitted timing signals was presented. The retardation at the navigation frequencies, which is proportional to the total ionospheric electron content (TEC), was determined by Faraday polarization measurements of VHF emissions of a geostationary satellite. The polarization data yielded TEC up to approximately 1200 km only, since the measurement technique is based on the Faraday effect which is weighted by the terrestrial magnetic field
High-precision Measurements of Ionospheric TEC Gradients with the Very Large Array VHF System
We have used a relatively long, contiguous VHF observation of a bright cosmic
radio source (Cygnus A) with the Very Large Array (VLA) to demonstrate the
capability of this instrument to study the ionosphere. This interferometer, and
others like it, can observe ionospheric total electron content (TEC)
fluctuations on a much wider range of scales than is possible with many other
instruments. We have shown that with a bright source, the VLA can measure
differential TEC values between pairs of antennas (delta-TEC) with an precision
of 0.0003 TECU. Here, we detail the data reduction and processing techniques
used to achieve this level of precision. In addition, we demonstrate techniques
for exploiting these high-precision delta-TEC measurements to compute the TEC
gradient observed by the array as well as small-scale fluctuations within the
TEC gradient surface. A companion paper details specialized spectral analysis
techniques used to characterize the properties of wave-like fluctuations within
this data.Comment: accepted for publication in Radio Scienc
A new method to calibrate ionospheric pulse dispersion for UHE cosmic ray and neutrino detection using the Lunar Cherenkov technique
UHE particle detection using the lunar Cherenkov technique aims to detect
nanosecond pulses of Cherenkov emission which are produced during UHE cosmic
ray and neutrino interactions in the Moon's regolith. These pulses will reach
Earth-based telescopes dispersed, and therefore reduced in amplitude, due to
their propagation through the Earth's ionosphere. To maximise the received
signal to noise ratio and subsequent chances of pulse detection, ionospheric
dispersion must therefore be corrected, and since the high time resolution
would require excessive data storage this correction must be made in real time.
This requires an accurate knowledge of the dispersion characteristic which is
parameterised by the instantaneous Total Electron Content (TEC) of the
ionosphere. A new method to calibrate the dispersive effect of the ionosphere
on lunar Cherenkov pulses has been developed for the LUNASKA lunar Cherenkov
experiments. This method exploits radial symmetries in the distribution of the
Moon's polarised emission to make Faraday rotation measurements in the
visibility domain of synthesis array data (i. e. instantaneously). Faraday
rotation measurements are then combined with geomagnetic field models to
estimate the ionospheric TEC. This method of ionospheric calibration is
particularly attractive for the lunar Cherenkov technique as it may be used in
real time to estimate the ionospheric TEC along a line-of-sight to the Moon and
using the same radio telescope.Comment: 4 pages, 2 figures, Proceedings of ARENA 2010, Nantes, France;
doi:10.1016/j.nima.2010.10.12
Correction of Ionosphere for InSAR by the Combination of Differential TEC Estimators
Low frequency spaceborne SAR configurations are favoured for global forest mapping applications and D-InSAR applications over natural terrain. Several missions have been scheduled to be launched / or proposed to be implemented in the next years: JAXA’s ALOS-II (L-band), NASA’s Destyni (L-band), DLR’s Tandem-L (L-band) and ESA’s BIOMASS (P-band) are some of them. A common challenge for all these missions is to control / compensate the disturbances induced by the ionosphere. At these lower frequencies the ionosphere effects several components of the SAR measurements performed: It delays the group velocity of the transmitting / receiving pulses, advances their phase(s) and rotates their polarisation state. Accordingly, it distorts not only intensity but also polarimetric, interferometric and polarimetric interferometric observation spaces.
The total electron content (TEC) is the most decisive parameter in the characterisation of the ionosphere. It is defined as the integrated electron number density per unit volume along the direction of propagation. Most of the free electrons are distributed within a relatively narrow altitude range allowing modelling the ionosphere as a thin layer at a fixed altitude. In this case the ionosphere can be characterised by a 2-D scalar field of TEC [1], [2].
Depending now on the SAR configuration and its observation space different correction approaches are possible leading to a wide range of calibration algorithms. In this paper we propose a concept towards the generalisation of ionospheric calibration methodology by integrating a number of individual approaches / algorithms. In this sense, a novel generic correction schema based on a combined (and improved) estimation of the 2-D TEC field (or the associated differential TEC field in the interferometric case) from a set of individual data based TEC and/or TEC gradient estimates is introduced and discussed.
As a special case a combined 2-D (differential) TEC field estimator based on (differential) TEC estimated from Faraday rotation measurements and (differential) TEC gradients obtained from the estimation of azimuth/range (differential) shifts is presented. Both observations are independent, allowing establishing an inverse problem for the (differential) TEC estimation. Geophysical knowledge as the anisotropic nature of the TEC distribution can be incorporated as a priori information in the “combined” (differential) TEC estimator.
The performance of the proposed approach is tested using ALOS quad-pol interferometric data sets over several test sites in Alaska. The achieved estimates are characterised by a significantly improved performance: While the FR based estimator suffers from the random granular deviation pattern of TEC after conversion, the proposed combined estimator effectively is free of such artefacts. Emphasis is given in the role of polarisation in the TEC estimation procedure [3] and on the calibration of Pol-InSAR data.
References
[1] Franz J. Meyer and Jeremy Nicoll, “Prediction, detection, and correction of Faraday rotation in full-polarimetric L-band SAR data”, IEEE Trans. Geosci. And Remote Sensing, 46(10), Oct., 3076-3086, 2008
[2] Xiaoqing Pi, Anthony Freeman, Bruce Champman, Paul Rosen, and Zhenhong Li, “Imaging ionospheric inhomogeneities using spaceborne synthetic aperture radar”, Jour. of Geophysical Research, 116, A04303, 2011
[3] Jun Su Kim, Konstantinos Papathanassiou, Shaun Quegan and Neil Rogers, “Estimation and correction of scintillation effects on spaceborne P-band SAR images”, in Proceedings of IGARSS2012, 23-27. Jul., 201
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