Simultaneous multicopter-based air sampling and sensing of meteorological variables

被引:80
作者
Brosy, Caroline [1 ]
Krampf, Karina [1 ]
Zeeman, Matthias [1 ]
Wolf, Benjamin [1 ]
Junkermann, Wolfgang [1 ]
Schaefer, Klaus [1 ]
Emeis, Stefan [1 ]
Kunstmann, Harald [1 ,2 ]
机构
[1] Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK IFU, D-82467 Garmisch Partenkirchen, Germany
[2] Univ Augsburg, Inst Geog, D-86159 Augsburg, Germany
关键词
ATMOSPHERIC BOUNDARY-LAYER; METHANE EMISSIONS; EDDY-COVARIANCE; NETWORK; CH4; VARIABILITY; VALIDATION; RESOLUTION; PARTICLES; SOUNDINGS;
D O I
10.5194/amt-10-2773-2017
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The state and composition of the lowest part of the planetary boundary layer (PBL), i.e., the atmospheric surface layer (SL), reflects the interactions of external forcing, land surface, vegetation, human influence and the atmosphere. Vertical profiles of atmospheric variables in the SL at high spatial (meters) and temporal (1 Hz and better) resolution increase our understanding of these interactions but are still challenging to measure appropriately. Traditional ground-based observations include towers that often cover only a few measurement heights at a fixed location. At the same time, most remote sensing techniques and aircraft measurements have limitations to achieve sufficient detail close to the ground (up to 50 m). Vertical and horizontal transects of the PBL can be complemented by unmanned aerial vehicles (UAV). Our aim in this case study is to assess the use of a multicopter-type UAV for the spatial sampling of air and simultaneously the sensing of meteorological variables for the study of the surface exchange processes. To this end, a UAV was equipped with onboard air temperature and humidity sensors, while wind conditions were determined from the UAV's flight control sensors. Further, the UAV was used to systematically change the location of a sample inlet connected to a sample tube, allowing the observation of methane abundance using a ground-based analyzer. Vertical methane gradients of about 0.3 ppm were found during stable atmospheric conditions. Our results showed that both methane and meteorological conditions were in agreement with other observations at the site during the ScaleX-2015 campaign. The multicopter-type UAV was capable of simultaneous in situ sensing of meteorological state variables and sampling of air up to 50 m above the surface, which extended the vertical profile height of existing tower-based infrastructure by a factor of 5.
引用
收藏
页码:2773 / 2784
页数:12
相关论文
共 56 条
[1]   ALADINA - an unmanned research aircraft for observing vertical and horizontal distributions of ultrafine particles within the atmospheric boundary layer [J].
Altstaedter, B. ;
Platis, A. ;
Wehner, B. ;
Scholtz, A. ;
Wildmann, N. ;
Hermann, M. ;
Kaethner, R. ;
Baars, H. ;
Bange, J. ;
Lampert, A. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2015, 8 (04) :1627-1639
[2]   A Methodology to Monitor Airborne PM10 Dust Particles Using a Small Unmanned Aerial Vehicle [J].
Alvarado, Miguel ;
Gonzalez, Felipe ;
Erskine, Peter ;
Cliff, David ;
Heuff, Darlene .
SENSORS, 2017, 17 (02)
[3]   Towards the Development of a Low Cost Airborne Sensing System to Monitor Dust Particles after Blasting at Open-Pit Mine Sites [J].
Alvarado, Miguel ;
Gonzalez, Felipe ;
Fletcher, Andrew ;
Doshi, Ashray .
SENSORS, 2015, 15 (08) :19667-19687
[4]   CO2, CO, and CH4 measurements from tall towers in the NOAA Earth System Research Laboratory's Global Greenhouse Gas Reference Network: instrumentation, uncertainty analysis, and recommendations for future high-accuracy greenhouse gas monitoring efforts [J].
Andrews, A. E. ;
Kofler, J. D. ;
Trudeau, M. E. ;
Williams, J. C. ;
Neff, D. H. ;
Masarie, K. A. ;
Chao, D. Y. ;
Kitzis, D. R. ;
Novelli, P. C. ;
Zhao, C. L. ;
Dlugokencky, E. J. ;
Lang, P. M. ;
Crotwell, M. J. ;
Fischer, M. L. ;
Parker, M. J. ;
Lee, J. T. ;
Baumann, D. D. ;
Desai, A. R. ;
Stanier, C. O. ;
De Wekker, S. F. J. ;
Wolfe, D. E. ;
Munger, J. W. ;
Tans, P. P. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2014, 7 (02) :647-687
[5]   An analysis of sonic anemometer observations in low wind speed conditions [J].
Anfossi, D ;
Oettl, D ;
Degrazia, G ;
Goulart, A .
BOUNDARY-LAYER METEOROLOGY, 2005, 114 (01) :179-203
[6]  
[Anonymous], 2012, An Introduction to Boundary Layer Meteorology
[7]   Spatial variability of methane: Attributing atmospheric concentrations to emissions [J].
Bamberger, I. ;
Stieger, J. ;
Buchmann, N. ;
Eugster, W. .
ENVIRONMENTAL POLLUTION, 2014, 190 :65-74
[8]   WIND ENERGY METEOROLOGY: Insight into Wind Properties in the Turbine-Rotor Layer of the Atmosphere from High-Resolution Doppler Lidar [J].
Banta, Robert M. ;
Pichugina, Yelena L. ;
Kelley, Neil D. ;
Hardesty, R. Michael ;
Brewer, W. Alan .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2013, 94 (06) :883-902
[9]   Proof of concept for turbulence measurements with the RPAS SUMO during the BLLAST campaign [J].
Baserud, Line ;
Reuder, Joachim ;
Jonassen, Marius O. ;
Kral, Stephan T. ;
Paskyabi, Mostafa B. ;
Lothon, Marie .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2016, 9 (10) :4901-4913
[10]   Greenhouse gas analyzer for measurements of carbon dioxide, methane, and water vapor aboard an unmanned aerial vehicle [J].
Berman, Elena S. F. ;
Fladeland, Matthew ;
Liem, Jimmy ;
Kolyer, Richard ;
Gupta, Manish .
SENSORS AND ACTUATORS B-CHEMICAL, 2012, 169 :128-135