a novel approach for the extraction of cloud motion vectors using airglow imager measurements
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2015
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Abstract
The paper explores the possibility of implementing an advanced
photogrammetric technique, generally employed for satellite measurements, on
airglow imager, a ground-based remote sensing instrument primarily used for
upper atmospheric studies, measurements of clouds for the extraction of
cloud motion vectors (CMVs). The major steps involved in the algorithm
remain the same, including image processing for better visualization of
target elements and noise removal, identification of target cloud, setting a
proper search window for target cloud tracking, estimation of cloud height,
and employing 2-D cross-correlation to estimate the CMVs. Nevertheless, the
implementation strategy at each step differs from that of satellite, mainly
to suit airglow imager measurements. For instance, climatology of horizontal
winds at the measured site has been used to fix the search window for target
cloud tracking. The cloud height is estimated very accurately, as required
by the algorithm, using simultaneous collocated lidar measurements.
High-resolution, both in space and time (4 min), cloud imageries are
employed to minimize the errors in retrieved CMVs. The derived winds are
evaluated against MST radar-derived winds by considering it as a reference.
A very good correspondence is seen between these two wind measurements, both
showing similar wind variation. The agreement is also found to be good in
both the zonal and meridional wind velocities with RMSEs < 2.4 m s−1. Finally, the strengths and limitations of the algorithm are
discussed, with possible solutions, wherever required.
| Reference Key |
kumar2015atmospherica
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|---|---|
| Authors | ;S. Satheesh Kumar;T. Narayana Rao;A. Taori |
| Journal | bioorganic & medicinal chemistry |
| Year | 2015 |
| DOI |
10.5194/amt-8-3893-2015
|
| URL | |
| Keywords |
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