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| Titel |
Comparison and application of wind retrieval algorithms for small unmanned aerial systems |
| VerfasserIn |
T. A. Bonin, P. B. Chilson, B. S. Zielke, P. M. Klein, J. R. Leeman |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2193-0856
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Instrumentation, Methods and Data Systems ; 2, no. 2 ; Nr. 2, no. 2 (2013-07-05), S.177-187 |
| Datensatznummer |
250017763
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| Publikation (Nr.) |
 copernicus.org/gi-2-177-2013.pdf |
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| Zusammenfassung |
| Recently, there has been an increase in use of Unmanned Aerial Systems (UASs)
as platforms for conducting fundamental and applied research in the lower
atmosphere due to their relatively low cost and ability to collect samples
with high spatial and temporal resolution. Concurrent with this development
comes the need for accurate instrumentation and measurement methods suitable
for small meteorological UASs. Moreover, the instrumentation to be integrated
into such platforms must be small and lightweight. Whereas thermodynamic
variables can be easily measured using well-aspirated sensors onboard, it is
much more challenging to accurately measure the wind with a UAS. Several
algorithms have been developed that incorporate GPS observations as a means
of estimating the horizontal wind vector, with each algorithm exhibiting its
own particular strengths and weaknesses. In the present study, the
performance of three such GPS-based wind-retrieval algorithms has been
investigated and compared with wind estimates from rawinsonde and sodar
observations. Each of the algorithms considered agreed well with the wind
measurements from sounding and sodar data. Through the integration of
UAS-retrieved profiles of thermodynamic and kinematic parameters, one can
investigate the static and dynamic stability of the atmosphere and relate
them to the state of the boundary layer across a variety of times and
locations, which might be difficult to access using conventional
instrumentation. |
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