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Observations of atmospheric boundary layer temperature profiles with a small unmanned aerial vehicle

Published online by Cambridge University Press:  18 July 2013

John J. Cassano
John J. Cassano*
Affiliation:
Department of Atmospheric and Oceanic Sciences, Cooperative Institute for Research in Environmental Sciences, University of Colorado, 216 UCB, Boulder, CO 80309, USA
*
john.cassano@colorado.edu
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Abstract

Small Unmanned Meteorological Observer (SUMO) unmanned aerial vehicles (UAVs) were used to observe atmospheric boundary layer temperature profiles in the vicinity of McMurdo Station, Antarctica during January and September 2012. The observations from four flight days are shown and exhibit a variety of boundary layer temperature profiles ranging from deep, well-mixed conditions to strong, shallow inversions. Repeat UAV profiles over short periods of time (tens of minutes to several hours) revealed rapid changes in boundary layer structure. The success of the SUMO flights described here demonstrates the potential for using small UAVs for Antarctic research.

Keywords

Antarcticaatmosphereclimatemeteorologyremotely piloted aircraft (RPA)unmanned aerial systems (UAS)
Type
Physical Sciences
Information
Antarctic Science , Volume 26 , Issue 2 , April 2014 , pp. 205 - 213
Copyright
Copyright © Antarctic Science Ltd 2013 

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References

Cassano, J.J., Maslanik, J.A., Zappa, C.J., Gordon, A.L., Cullather, R.I. Knuth, S.L. 2010. Observations of an Antarctic polynya with unmanned aircraft systems. Eos, 91, 245–246.CrossRefGoogle Scholar
ENAC (École Nationale De L'Aviation Civile). 2008. Paparrazi user's manual, http://paparazzi.enac.fr/w/images/Users_manual.pdf. Google Scholar
Garcia, G. Keshmiri, S. 2013. Adaptive and resilient flight control system for a small unmanned aerial system. International Journal of Aerospace Engineering, 10.1155/2013/289357.CrossRefGoogle Scholar
Jones, A.E., Anderson, P.S., Wolff, E.W., Roscoe, H.K., Marshall, G.J., Richter, A., Brough, N. Colwell, S.R. 2010. Vertical structure of Antarctic tropospheric ozone depletion events: characteristics and broader implications. Atmospheric Chemistry and Physics, 10, 7775–7794.CrossRefGoogle Scholar
Knuth, S.L., Cassano, J.J., Maslanik, J.A., Herrmann, P.D., Kernebone, P.A., Crocker, R.I. Logan, N.J. 2013. Unmanned aircraft system measurements of the atmospheric boundary layer over Terra Nova Bay, Antarctica. Earth System Science Data, 5, 57–69.CrossRefGoogle Scholar
Lan, C.-T.E., Keshmiri, S. Hale, R. 2012. Fuzzy-logic modeling of a rolling unmanned vehicle in Antarctica wind shear. Journal of Guidance, Control, and Dynamics, 35, 1538–1547.CrossRefGoogle Scholar
Lazzara, M.A., Weidner, G.A., Keller, L.M., Thom, J.E. Cassano, J.J. 2012. Antarctic automatic weather station program: 30 years of polar observations. Bulletin of the American Meteorological Society, 93, 1519–1537.CrossRefGoogle Scholar
Mayer, S., Hattenberger, G., Brisset, P., Jonassen, M. Reuder, J. 2012. A “no-flow-sensor” wind estimation algorithm for unmanned aerial systems. International Journal of Micro Air Vehicles, 4, 15–30.CrossRefGoogle Scholar
Parish, T.R., Cassano, J.J. Seefeldt, M.W. 2006. Characteristics of the Ross Ice Shelf air stream as depicted in Antarctic Mesoscale Prediction System simulations. Journal of Geophysical Research, 111, 10.1029/2005JD006185.CrossRefGoogle Scholar
Reuder, J., Jonassen, M.O. Ólafsson, H. 2012. The Small Unmanned Meteorological Observer SUMO: recent developments and applications of a micro-UAS for atmospheric boundary layer research. Acta Geophysica, 60, 1454–1473.CrossRefGoogle Scholar
Stull, R.B. 1988. An introduction to boundary layer meteorology. Dordrecht: Kluwer Academic Publishers, 666 pp.CrossRefGoogle Scholar
Tjernström, M., Žagar, M., Svensson, G., Cassano, J.J., Pfeifer, S., Rinke, A., Wyser, K., Dethloff, K., Jones, C., Semmler, T. Shaw, M. 2005. Modelling the Arctic boundary layer: an evaluation of six ARCMIP regional-scale models with data from the SHEBA project. Boundary-Layer Meteorology, 117, 337–381.CrossRefGoogle Scholar
Turner, D., Lucieer, A. Watson, C. 2012. An automated technique for generating georectified mosaics from ultra-high-resolution unmanned aerial vehicle (UAV) imagery, based on structure from motion (SfM) point clouds. Remote Sensing, 4, 1392–1410.CrossRefGoogle Scholar