Estimation of Three-Dimensional Atmospheric Wave Parameters From Ground-Based Spectroscopic Airglow Image Data

Anderson, David S.; Kamalabadi, F.; Swenson, G. R.

doi:10.1109/tgrs.2009.2015290

Cited by 5 publications

(7 citation statements)

References 29 publications

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“…Furthermore, the use of a slightly wider Gaussian (as much as twice the width of the synthetic object) did not significantly alter the reconstructions. The choice of a Gaussian structure in simulating airglow layer emission profiles is also supported by previous ground-based measurements that used combinations of Na lidar, radar, imaging, and interferometric measurements of different airglow layers [32,38,37]. Additional support is provided by the SABER instrument onboard NASA's TIMED satellite.…”

Section: A Synthetic Data and Validationmentioning

confidence: 83%

“…The resulting nonlinear optimization problem was minimized and used as the initial guess in a MART algorithm [26]. Of particular relevance to our OH airglow study, Anderson et al used a Gaussian function as the vertical profile for their atmospheric gravity wave parameter estimation method [37].…”

Section: A Synthetic Data and Validationmentioning

confidence: 99%

“…6) has been used in prior studies to represent the stratified form of cloud or emission layers in atmospheric imaging [37]. It is simpler than the Chapman function and is symmetric.…”

Section: A Synthetic Data and Validationmentioning

confidence: 99%

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Three-dimensional tomographic reconstruction of mesospheric airglow structures using two-station ground-based image measurements

et al. 2012

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A new methodology is presented to create two-dimensional (2D) and three-dimensional (3D) tomographic reconstructions of mesospheric airglow layer structure using two-station all-sky image measurements. A fanning technique is presented that produces a series of cross-sectional 2D reconstructions, which are combined to create a 3D mapping of the airglow volume. The imaging configuration is discussed and the inherent challenges of using limited-angle data in tomographic reconstructions have been analyzed using artificially generated imaging objects. An iterative reconstruction method, the partially constrained algebraic reconstruction technique (PCART), was used in conjunction with a priori information of the airglow emission profile to constrain the height of the imaged region, thereby reducing the indeterminacy of the inverse problem. Synthetic projection data were acquired from the imaging objects and the forward problem to validate the tomographic method and to demonstrate the ability of this technique to accurately reconstruct information using only two ground-based sites. Reconstructions of the OH airglow layer were created using data recorded by all-sky CCD cameras located at Bear Lake Observatory, Utah, and at Star Valley, Wyoming, with an optimal site separation of ∼100 km. The ability to extend powerful 2D and 3D tomographic methods to two-station ground-based measurements offers obvious practical advantages for new measurement programs. The importance and applications of mesospheric tomographic reconstructions in airglow studies, as well as the need for future measurements and continued development of techniques of this type, are discussed.

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Section: A Synthetic Data and Validationmentioning

confidence: 83%

Section: A Synthetic Data and Validationmentioning

confidence: 99%

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Three-dimensional tomographic reconstruction of mesospheric airglow structures using two-station ground-based image measurements

et al. 2012

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“…The PE method [30] is briefly reviewed in this section. The process is comprised of four primary descriptions: 1) the airglow perturbation model; 2) the data model; 3) the preprocessing steps; and 4) the estimation.…”

Section: Pe Methods Overviewmentioning

confidence: 99%

“…More recently, a technique has been introduced to measure m directly from multiple angle observations without having to first perform a reconstruction [30]. In this paper, the method was derived mathematically and applied to modeled image data for validation of the estimation process.…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of a Technique to Estimate Vertical Wavelength Parameters From Gravity Wave Perturbations on Mesospheric Airglows

Anderson¹,

Makela

Kanwar

2014

IEEE Trans. Geosci. Remote Sensing

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This paper establishes the experimental validation of a new technique to estimate the key intrinsic atmospheric gravity wave (AGW) parameters from imagery of mesospheric airglow layers. The technique provides two independent methods for estimating AGW parameters. In one method, the magnitude of the wave fluctuations is analyzed from image data simultaneously acquired from different locations on the ground to estimate the vertical wavelength. In the other, the phase of the wave is analyzed over time from multiple layers to estimate its vertical wavelength and frequency. After a brief overview of the technique, it is applied to a dataset acquired during the New Mexico Wave Campaign (NMWC) in 2010-2011.

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Retrieval of the three-dimensional wave structure of gravity waves from multi-position airglow measurements

Belyaev

2013

Journal of Atmospheric and Solar-Terrestrial Physics

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Estimation of Three-Dimensional Atmospheric Wave Parameters From Ground-Based Spectroscopic Airglow Image Data

Cited by 5 publications

References 29 publications

Three-dimensional tomographic reconstruction of mesospheric airglow structures using two-station ground-based image measurements

Three-dimensional tomographic reconstruction of mesospheric airglow structures using two-station ground-based image measurements

Experimental Validation of a Technique to Estimate Vertical Wavelength Parameters From Gravity Wave Perturbations on Mesospheric Airglows

Retrieval of the three-dimensional wave structure of gravity waves from multi-position airglow measurements

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