2014
DOI: 10.1109/tgrs.2013.2257176
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 multip… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2017
2017
2025
2025

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 32 publications
0
2
0
Order By: Relevance
“…Gabor filtering has often been used as a tool for feature extraction (see Andrews and Pollen [1979] and 10.1002/2016JA023228 Chen et al [2001] for example usages). A similar technique was used by Anderson et al [2014] for wave feature extraction in the mesosphere. A Gabor kernel is a Gaussian function modulated by a sinusoid.…”
Section: Methodsmentioning
confidence: 99%
“…Gabor filtering has often been used as a tool for feature extraction (see Andrews and Pollen [1979] and 10.1002/2016JA023228 Chen et al [2001] for example usages). A similar technique was used by Anderson et al [2014] for wave feature extraction in the mesosphere. A Gabor kernel is a Gaussian function modulated by a sinusoid.…”
Section: Methodsmentioning
confidence: 99%
“…Using the technique discussed by Anderson et al (), the images were flat‐fielded to reduce inhomogeneous contribution at lower elevations due to van Rhijn effect and nonuniform sensitivity of the charge‐coupled device detector at different pixels. Next, we created an averaged image using the image data for the night and subtracted this mean image from each image to enhance the airglow features.…”
Section: Instrumentationmentioning
confidence: 99%